This report is prepared by Maple Growth Partners, an investment research and strategic advisory firm.
The project was commissioned by one of our $250mn+ private equity fund client. The primary objective of this report was to provide a market overview of the requested standards within the IT security compliance industry along with their adoption rates by relevant geographies, identification of the most attractive growth pockets globally to scale operations, and a detailed competitive landscape / bolt-on acquisition targets list.
Standards included were PCI; HIPAA; HITRUST; EI3PA; FedRamp; SOC 1 and SOC 2; GDPR; and NYDFS.
As a part of an exercise to identify the most attractive geography pockets for IT security compliance to scale operations globally, we provided a detailed cybersecurity preparedness research for each country to eventually come up with necessary insights to present the most suitable countries to invest in from a US PE portfolio company perspective.
We then screened hundreds of companies and identified 151 relevant competitors / bolt-on acquisition targets and have presented them in a matrix format outlaying their presence across standards along with ownership details in a standardized profile template.
From a PE perspective, we believe that this industry is perfectly positioned for a roll-up strategy. Broadening the scope of solutions offered to sell more to one client, coupled with scalability through cloud adoption and outsourcing the operations/support functions will likely enhance incremental value in the respective target.
While the full report is exclusively prepared for the said client, we have provided a gist of our overall analysis to showcase our research capabilities, especially for a niche market such as IT security compliance.
Data to Insight to Action Today’s flat and wired world and increased competitiveness has shifted the focus more and more towards the customer. It is an absolute necessity that the companies understand their customers well and address their needs proactively.
To download visit:
blog.cequitysolutions.com and www.cequitysolutions.com
Data Mess to Data Mesh | Jay Kreps, CEO, Confluent | Kafka Summit Americas 20...HostedbyConfluent
Companies are increasingly becoming software-driven, requiring new approaches to software architecture and data integration. The "data mesh" architectural pattern decentralizes data management by organizing it around domain experts and treating data as products that can be accessed on-demand. This helps address issues with centralized data warehouses by evolving data modeling with business needs, avoiding bottlenecks, and giving autonomy to domain teams. Key principles of the data mesh include domain ownership of data, treating data as self-service products, and establishing federated governance to coordinate the decentralized system.
TBD Data Governance | David Araujo and Michael Agnich, Confluent HostedbyConfluent
The document discusses Confluent Stream Governance, a solution for governing data in motion with metadata. It introduces tools for managing schemas, classifying metadata, tracking lineage, and monitoring data quality. This helps bring order to what would otherwise be a "giant mess" of ungoverned data by enforcing standards and providing visibility into data flows and definitions.
Scalable Data Management for Kafka and Beyond | Dan Rice, BigIDHostedbyConfluent
Data in motion has changed both the scale and scope of data and analytics - enabling organizations to capture more information and use it more effectively. But to get the most value from it - you need to know what’s there, make it risk aware, and take action on it. In this session, you’ll learn how to leverage modern ML-augmented data management solutions to automatically find, identify, and classify sensitive data across Spark, Databricks, and beyond - and how to apply policies for compliance and risk mitigation to get the most value from our data.
What does an event mean? Manage the meaning of your data! | Andreas Wombacher...HostedbyConfluent
Van Oord, a 150 year old family owned business, build windmill parks in the sea, lay cables on sea surface, dredging, as well as infrastructure (Dike, etc) operates world-wide, often facilitating self-owned specialized vessels. A well-known prestigious project is the creation of the palm island at the coast of Dubai.
Data Management in Van Oord is still in its infancy. The current operation is based on bilateral data exchange, without an Enterprise Service Bus or mayor data warehouse infrastructure. In 2020 Van Oord started a PoC with Confluent Kafka, executing a wide range of uses cases and requirements, followed by the formal program implementing a sustainable data platform.
Data owners are publishing an information product, i.e. a set of Kafka topics to communicate change (a la CDC) and topics for sharing state of a data source (Kafka tables). The information product owner is responsible for granting access, assuring data quality, data linage and governance. The set of all information products forms the enterprise data model.
This talk outlines why Van Oord requires data governance and enterprise architecture models integrated with Confluent Kafka, and demo how an open-source based data governance tool is integrated with Confluent Kafka to fulfil these requirements.
Speed without accidents : Kafka Exemplified | Dhawal Soni and Suman Pattnaik,...HostedbyConfluent
Today data is big part of very bit of decision making be it parents deciding on where there children need to go for Karate classes to formulating the design for a batter driven aircraft. The speed at which data is delivered from producer to consumers is equally important. Any loss of data can potentially cause loss of millions of dollars. Walmart is no different.
The world’s largest retailer caters to the need of millions of its Online and Walk in customers by ensuring optimal availability of needed assortment and timely delivery on Online fulfillment through a suit of well orchestrated event streaming platforms leveraging Kafka and its ecosystem.
One of the application that plays an extremely key role to customer satisfaction is the real time Replenishment system . This system on a given day processes more than 4 billion messages in less than 3 hours leveraging an array of processors to generates an order plan for the entire network of Walmart stores with great accuracy. While doing so it also ensures no data loss through event tracking and necessary replays and retries.
Through this session, we will highlight various aspects of Design, Architecture, Deployment strategy, Kafka settings, Optimization techniques etc that was paramount to achieve this rate of processing and certainly with no accidents.
Blockchain and Kafka - A Modern Love Story | Suhavi Sandhu, Guidewire SoftwareHostedbyConfluent
After familiarizing myself with blockchain over the past couple years, I noticed a few caveats and setbacks that make blockchain a ‘not-so-ideal’ solution to record tracking in a P2P network. It’s not as scalable and it’s quite slow in a busy network. Enter Apache Kafka, with its high performance and immutable logging. In this talk, I want to explore the relationship between Blockchain and Kafka and demonstrate how the two technologies can benefit from each other. If you’re interested in the future of blockchain and love Kafka, this is definitely up your alley.
Google Cloud and Confluent Streaming: Generating Real Value From Real Time | ...confluent
This document discusses how event streaming can generate real value from real-time data. It notes that by 2025, over a quarter of all data created will be real-time in nature. Common sources of real-time data include digital communications, devices, commerce, and media consumption. The document then examines online transactions and gaming as examples of data-rich events. It contrasts the characteristics of data-driven versus event-driven organizations and how both can utilize historic and real-time data. Finally, it outlines how Google Cloud's streaming analytics solutions like Cloud Dataflow, Pub/Sub, and BigQuery can provide serverless architectures, robust ingestion, unified batch/stream processing, and comprehensive analysis tools for enterprise-level event processing
Data to Insight to Action Today’s flat and wired world and increased competitiveness has shifted the focus more and more towards the customer. It is an absolute necessity that the companies understand their customers well and address their needs proactively.
To download visit:
blog.cequitysolutions.com and www.cequitysolutions.com
Data Mess to Data Mesh | Jay Kreps, CEO, Confluent | Kafka Summit Americas 20...HostedbyConfluent
Companies are increasingly becoming software-driven, requiring new approaches to software architecture and data integration. The "data mesh" architectural pattern decentralizes data management by organizing it around domain experts and treating data as products that can be accessed on-demand. This helps address issues with centralized data warehouses by evolving data modeling with business needs, avoiding bottlenecks, and giving autonomy to domain teams. Key principles of the data mesh include domain ownership of data, treating data as self-service products, and establishing federated governance to coordinate the decentralized system.
TBD Data Governance | David Araujo and Michael Agnich, Confluent HostedbyConfluent
The document discusses Confluent Stream Governance, a solution for governing data in motion with metadata. It introduces tools for managing schemas, classifying metadata, tracking lineage, and monitoring data quality. This helps bring order to what would otherwise be a "giant mess" of ungoverned data by enforcing standards and providing visibility into data flows and definitions.
Scalable Data Management for Kafka and Beyond | Dan Rice, BigIDHostedbyConfluent
Data in motion has changed both the scale and scope of data and analytics - enabling organizations to capture more information and use it more effectively. But to get the most value from it - you need to know what’s there, make it risk aware, and take action on it. In this session, you’ll learn how to leverage modern ML-augmented data management solutions to automatically find, identify, and classify sensitive data across Spark, Databricks, and beyond - and how to apply policies for compliance and risk mitigation to get the most value from our data.
What does an event mean? Manage the meaning of your data! | Andreas Wombacher...HostedbyConfluent
Van Oord, a 150 year old family owned business, build windmill parks in the sea, lay cables on sea surface, dredging, as well as infrastructure (Dike, etc) operates world-wide, often facilitating self-owned specialized vessels. A well-known prestigious project is the creation of the palm island at the coast of Dubai.
Data Management in Van Oord is still in its infancy. The current operation is based on bilateral data exchange, without an Enterprise Service Bus or mayor data warehouse infrastructure. In 2020 Van Oord started a PoC with Confluent Kafka, executing a wide range of uses cases and requirements, followed by the formal program implementing a sustainable data platform.
Data owners are publishing an information product, i.e. a set of Kafka topics to communicate change (a la CDC) and topics for sharing state of a data source (Kafka tables). The information product owner is responsible for granting access, assuring data quality, data linage and governance. The set of all information products forms the enterprise data model.
This talk outlines why Van Oord requires data governance and enterprise architecture models integrated with Confluent Kafka, and demo how an open-source based data governance tool is integrated with Confluent Kafka to fulfil these requirements.
Speed without accidents : Kafka Exemplified | Dhawal Soni and Suman Pattnaik,...HostedbyConfluent
Today data is big part of very bit of decision making be it parents deciding on where there children need to go for Karate classes to formulating the design for a batter driven aircraft. The speed at which data is delivered from producer to consumers is equally important. Any loss of data can potentially cause loss of millions of dollars. Walmart is no different.
The world’s largest retailer caters to the need of millions of its Online and Walk in customers by ensuring optimal availability of needed assortment and timely delivery on Online fulfillment through a suit of well orchestrated event streaming platforms leveraging Kafka and its ecosystem.
One of the application that plays an extremely key role to customer satisfaction is the real time Replenishment system . This system on a given day processes more than 4 billion messages in less than 3 hours leveraging an array of processors to generates an order plan for the entire network of Walmart stores with great accuracy. While doing so it also ensures no data loss through event tracking and necessary replays and retries.
Through this session, we will highlight various aspects of Design, Architecture, Deployment strategy, Kafka settings, Optimization techniques etc that was paramount to achieve this rate of processing and certainly with no accidents.
Blockchain and Kafka - A Modern Love Story | Suhavi Sandhu, Guidewire SoftwareHostedbyConfluent
After familiarizing myself with blockchain over the past couple years, I noticed a few caveats and setbacks that make blockchain a ‘not-so-ideal’ solution to record tracking in a P2P network. It’s not as scalable and it’s quite slow in a busy network. Enter Apache Kafka, with its high performance and immutable logging. In this talk, I want to explore the relationship between Blockchain and Kafka and demonstrate how the two technologies can benefit from each other. If you’re interested in the future of blockchain and love Kafka, this is definitely up your alley.
Google Cloud and Confluent Streaming: Generating Real Value From Real Time | ...confluent
This document discusses how event streaming can generate real value from real-time data. It notes that by 2025, over a quarter of all data created will be real-time in nature. Common sources of real-time data include digital communications, devices, commerce, and media consumption. The document then examines online transactions and gaming as examples of data-rich events. It contrasts the characteristics of data-driven versus event-driven organizations and how both can utilize historic and real-time data. Finally, it outlines how Google Cloud's streaming analytics solutions like Cloud Dataflow, Pub/Sub, and BigQuery can provide serverless architectures, robust ingestion, unified batch/stream processing, and comprehensive analysis tools for enterprise-level event processing
Transformation During a Global Pandemic | Ashish Pandit and Scott Lee, Univer...HostedbyConfluent
When the University of California, San Diego launched its largest investment in tech in 2018, they planned to future proof their business processes and systems. Unexpectedly, it also prepared them to handle a global pandemic that changed every norm for the campus. With shelter-in-place orders taking immediate effect, they needed to quickly set up a robust online learning platform - one with powerful analytics to track student success. And, for the times students and staff are on campus, a contact tracing application was essential for their safety. We’d like to offer a conversation with Scott Lee to tell you more about UC San Diego’s rapid transformation from a traditional, on-campus institution to one of the leading examples of remote learning, and the critical role data connectivity played in making this possible.
The document provides an agenda for the Government Track at the Kafka Summit 2021. The agenda includes sessions on topics like improving veteran benefit services through efficient data streaming, Kafka migration for satellite event streaming data, Kafka powered near real-time data pipelines at extreme scale, transformation during a global pandemic, securing the message bus with Kafka streams, Kafka for connected vehicle research, and driving a digital thread program in manufacturing with Apache Kafka. Speakers include representatives from Booz Allen Hamilton, ASRC Federal, University of California San Diego, Confluent, Raft LLC, Leidos, Ohio Department of Transportation, and Mercury Systems.
Improving Veteran benefit services through efficient data streaming | Robert ...HostedbyConfluent
Having information on our Veterans and Veteran services is not an issue. The VA (VETERANS AFFAIRS) currently has petabytes of data on Veterans, the services they receive and the level of benefit to which those services align. The challenge we are aiming to solve through Confluent is the ability to publish eventing data in a manner consumable by various products - be they in–house applications or VA mobile apps - to rapidly notify a Veteran or service provider about key information concerning a claim or services received. Such information could include a change in status of a claim, requests for additional documentation to support a claim or appeal or what information should be shared when calling into the call center or what level of benefits are due when checking in at a hospital. This technology will enable the VA to provide accurate, real-time information on a claim, appeal or rating for our Veterans.
Continuous Intelligence for Customer Service Using Kafka Event Streams | Simo...HostedbyConfluent
Today’s products - devices, software and services - are well instrumented to permit users, vendors and service providers to gather maximum insight into how they are used, when they need repair and many other operational insights. Ensuring that products can rapidly adapt to a constantly changing environment and changing customer needs requires that the events they generate are analyzed continuously and in context. Insights can be synthesized from many sources in context - geospatial and proximity, trajectory and even predicted future states.Customers, vendors and service providers need to analyze, learn, and predict directly from streaming events because data volumes are huge and automated responses must often be delivered in milliseconds. To achieve insights quickly, we need to build models on-the-fly whose predictions are accurate and in sync with the real world, often to support automation. Many insights depend on analyzing the joint evolution of data sources whose behavior is correlated in time or space.In this talk we present Swim, an Apache 2.0 licensed platform for continuous intelligence applications. Swim builds a fluid model of data sources and their changing relationships in real-time - Swim applications analyze, learn and predict directly from event data. Swim applications integrate with Apache Kafka for event streaming. Developers need nothing more than Java skills. Swim deploys native or in containers on k8s, with the same code in each instance. Instances link to build an application layer mesh that facilitates distribution and massive scale without sacrificing consistency. We will present several continuous intelligence applications in use today that depend on real-time analysis, learning and prediction to power automation and deliver responses that are in sync with the real-world. We will show how easy it is to build, deploy and run distributed, highly available event streaming applications that analyze data from hundreds of millions of sources - petabytes per day. The architecture is intuitively appealing and blazingly fast.
Kafka & InfluxDB: BFFs for Enterprise Data Applications | Russ Savage, Influx...HostedbyConfluent
Modern data processing applications built on Kafka and InfluxDB deliver the performance, reliability, and flexibility that customers need for robust real-time data pipeline solutions. As the saying goes, the pipeline is greater than the sum of its Kafka and InfluxDB parts. In this session, Russ Savage, Director of Product Management at InfluxData will discuss basic concepts of integrating Kafka and InfluxDB while highlighting how companies are creating fault-tolerant, scalable and fast data pipelines with the power of InfluxDB and Kafka.
Apache Kafka and the Data Mesh | Michael Noll, ConfluentHostedbyConfluent
Data mesh is a relatively recent term that describes a set of principles that good modern data systems uphold. A kind of “microservices” for the data-centric world. While the data mesh is not technology-specific as a pattern, the building of systems that adopt and implement data mesh principles have a relatively long history under different guises.
In this talk, we share our recommendations and picks of what every developer should know about building a streaming data mesh with Kafka. We introduce the four principles of the data mesh: domain-driven decentralization, data as a product, self-service data platform, and federated governance. We then cover topics such as the differences between working with event streams versus centralized approaches and highlight the key characteristics that make streams a great fit for implementing a mesh, such as their ability to capture both real-time and historical data. We’ll examine how to onboard data from existing systems into a mesh, modelling the communication within the mesh, how to deal with changes to your domain’s “public” data, give examples of global standards for governance, and discuss the importance of taking a product-centric view on data sources and the data sets they share.
Affecto Informatica World Tour 2015: The Age of EngagementAffecto
We are moving from an era of cost optimisation and productivity to an age of engagement. This engagement is with customers, partners, third parties, and machines. At the center of every winning business strategy is data. How to accelerate your organisation’s results using the Intelligent Data Platform to manage data of any type and from any source to drive better business outcomes.
A presentation by Greg Hanson, Vice President Business Operations EMEA, Informatica
Event: https://www.meetup.com/de-DE/Vienna-Kafka-meetup/events/262314643/
Speaker: Patrik Kleindl (patrik.kleindl@bearingpoint.com)
Slides of the introduction to Apache Kafka and some popular use cases.
Slides were provided by Confluent (confluent.io)
This document discusses patterns and anti-patterns of streaming data. It begins by defining streaming as the simultaneous processing of record-by-record data from multiple sources. Some key points covered include the differences between message queues and event logs, how to structure streaming records, delivery guarantees for streaming data, and how to handle failures in distributed streaming systems. The document provides recommendations for designing streaming platforms and lists several recommended books and resources for further reading on streaming concepts.
Leveraging Data in Motion | Jun Rao, Co-Founder, Confluent | Kafka Summit APA...HostedbyConfluent
This document discusses leveraging data in motion using Apache Kafka, especially in a cloud-first world. It notes that Kafka has become the de facto standard for data in motion and is used by over 100,000 organizations globally, including 60% of Fortune 100 companies. The document introduces Confluent Cloud, which re-engineers Kafka for the cloud, providing a fully-managed platform for data in motion that offers infinite storage, elastic scaling, and other advantages over self-managed Kafka deployments. Confluent Cloud aims to unify data at rest and data in motion by keeping real-time data in cloud-native Kafka for long periods of time.
Testing Event Driven Architectures: How to Broker the Complexity | Frank Kilc...HostedbyConfluent
This document discusses testing event-driven architectures. It begins by defining common event-driven architecture patterns like event notifications and event sourcing. It then discusses brokering the complexity of event-driven architectures by describing how events are communicated between producers and consumers via channels. The document outlines what information should be included in events like payloads and headers. It also discusses the difference between orchestration and choreography in event-driven systems. It provides an example of how events can be used to mediate changes within a system using order validation. Finally, it demonstrates how to test event-driven architectures using specifications and discusses accelerating API quality through testing tools that support multiple protocols and definitions.
Why Kafka Works the Way It Does (And Not Some Other Way) | Tim Berglund, Conf...HostedbyConfluent
Studying the ""how"" of Kafka makes you better at using Kafka, but studying its ""whys"" makes you better at so much more. In looking at the tradeoffs behind a system like Kafka, we learn to reason more clearly about distributed systems and to make high-stakes technology adoption decisions more effectively. These are skills we all want to improve!
In this talk, we'll examine trade-offs on which our favorite distributed messaging system takes opinionated positions:
- Whether to store data contiguously or using an index
- How many storage tiers are best?
- Where should metadata live?
- And more.
It's always useful to dissect a modern distributed system with the goal of understanding it better, and it's even better to learn to deeper architectural principles in the process. Come to this talk for a generous helping of both.
Risk Management in Retail with Stream Processing (Daniel Jagielski, Virtuslab...HostedbyConfluent
Every 2 seconds, another person becomes a victim of identity theft. The number of online account takeovers is constantly increasing. In this talk we'll show how stream processing was used to combat this for Tesco, one of Europe's largest retailers. The massive scale of e-commerce makes it an interesting target for malicious users. We implemented a risk-management platform built around Kafka and the Confluent Platform to detect and prevent attacks, including those that come through the website's authentication page. We'll present how this project evolved over 2 years to its current state in production, together with some of the challenges we encountered on the way. As the project has had a couple of phases, we will see and compare alternative designs, summarize their pros and cons, and refer them to well known techniques - like Event Sourcing. We'll discuss the architecture and integration with external systems, before moving onto a detailed examination of the stream processors implementation and key internals such as co-partitioning of data. We'll also cover the role of stack components that we used, including Kafka Connect and Schema Registry, as well as the deployment platform, Kubernetes. Over the course of the talk we will put special emphasis on highlighting key factors to take into consideration when designing data pipelines and stream processing platform.
Mesh-ing around with Streams across the Enterprise | Phil Scanlon, SolaceHostedbyConfluent
Organisations are becoming Event Driven based on streaming technologies and adopting Data Mesh and Event Mesh architectures. As this becomes pervasive, so do the challenges around runtime governance and lifecycle management. For example, do you know what streams exist, who is producing and consuming them? What is the effect of upstream changes? How is this information kept up to date, and how do people collaborate efficiently across distributed teams and environments? Ever wish you had a way to view and visualize graphically the relationships between schemas, topics and applications? In this talk we will show you how to do that and get more value from your Kafka Streaming infrastructure using an Event Portal - an API portal specialized for event streams and publish/subscribe patterns. Join us to see how you can discover event streams from your Kafka clusters, import them to a catalog to see alongside other enterprise event streams and leverage code gen capabilities to ease development.
Real-Time Market Data Analytics Using Kafka Streamsconfluent
(Lei Chen, Bloomberg, L.P.) Kafka Summit SF 2018
At Bloomberg, we are building a streaming platform with Apache Kafka, Kafka Streams and Spark Streaming to handle high volume, real-time processing with rapid derivative market data. In this talk, we’ll share the experience of how we utilize Kafka Streams Processor API to build pipelines that are capable of handling millions of market movements per second with ultra-low latency, as well as performing complex analytics like outlier detection, source confidence evaluation (scoring), arbitrage detection and other financial-related processing.
We’ll cover:
-Our system architecture
-Best practices of using the Processor API and State Store API
-Dynamic gap session implementation
-Historical data re-processing practice in KStreams app
-Chaining multiple KStreams apps with Spark Streaming job
Event-Driven Architectures Done Right | Tim Berglund, ConfluentHostedbyConfluent
Far from a controversial choice, Kafka is now a technology developers and architects are adopting with enthusiasm. And it’s often not just a good choice, but a technology enabling meaningful improvements in complex, evolvable systems that need to respond to the world in real time. But surely it's possible to do wrong! In this talk, we'll look at common mistakes in event-driven systems built on top of Kafka:
- Deploying Kafka when an event-driven architecture is not the best choice.
- Ignoring schema management. Events are the APIs of event-driven systems!
- Writing bespoke consumers when stream processing is a better fit.
- Using stream processing when you really need a database.
- Trivializing the task of elastic scaling in all parts of the system.
It's highly likely for medium- and large-scale systems that an event-first perspective is the most helpful one to take, but it's early days, and it's still possible to get this wrong. Come to this talk for a survey of mistakes not to make.
From Legacy SQL Server to High Powered Confluent & Kafka Monitoring System at...HostedbyConfluent
This document discusses SunPower's transition from a legacy SQL server to a Confluent & Kafka monitoring system. Some key points:
- SunPower has over 6 million devices in the field sending data every 5 minutes that they need to monitor to ensure 20-year performance guarantees.
- They want to understand performance challenges like weather or faults using data to deliver customer value.
- They implemented Kafka as a central system to blend sensor and other data sources to generate value and allow engineering teams access to enriched data.
- Future plans include panel-level monitoring in an app to quickly identify issues and determine resolutions.
apidays LIVE Australia 2020 - Building an Enterprise Eventing Platform by Gna...apidays
apidays LIVE Australia 2020 - Building Business Ecosystems
Building an Enterprise Eventing Platform using Apache Kafka
Gnanaguru Sattanathan, Solutions Engineer at Confluent, Kevin Barton Solution Designer at NAB & Mathew Chai, NAB
Digital Transformation Mindset - More Than Just Technologyconfluent
The document discusses how digital transformation requires an event-driven mindset and streaming platforms. It describes how a streaming platform can act as the central nervous system of a modern digital enterprise by enabling event-centric thinking, serving as the foundation for data integration and storage, and allowing data to drive applications in real-time. The document outlines Confluent's role in developing the open-source Apache Kafka streaming platform and discusses how various companies are using streaming platforms for applications like real-time customer experiences, fraud detection, and rewriting client experiences.
Maximizing the Capabilities of Kafka – Real-Time Streaming of Event-Driven Da...HostedbyConfluent
Push Technology, a verified gold technology partner, developed the Diffusion Kafka Adapter to meet the evolving requirements of the Kafka community. Diffusion is an Intelligent Event-Data Platform. Using Push’s Kafka Adapter, developers extend Kafka solutions efficiently and securely over the Internet, streaming real-time, event-driven data to millions of end-user apps and IoT devices. The adapter automatically maps Kafka message types to JSON, allowing web, mobile, and IoT clients to securely consume the data stored as rich data structures within Kafka. The adapter enables developers to configure how imported topics are structured, and to import topics that match a regular expression. The adapter can translate data from Kafka topics to Diffusion topics, and from Diffusion to Kafka. The adapter is designed it to make it quick and easy to integrate Kafka with Diffusion. The presentation will provide real-world examples of how the adapter is used to power Kafka in an event-driven world.
Cloud security is moderately growing in emerging markets of APAC while higher growth numbers are projected for the North American market. Middle-East and Africa still remain premature due to lack of customer awareness and inconsistent network infrastructure. However, with no surprise, Israel houses few of the major cloud security companies and been a power-house for research and development. Enterprise level customers look to put cloud security services on high priority due to the sensitivity of the data they deal within cloud. In a nutshell, with the growing attacks on cloud-based services and incidents of data breaches, cloud security has started to get importance and this trend is expected to go high in the years to come. The report titled "Global Cloud Security Market" showcases an in-depth analysis of the overall cloud security market in terms of market size, segmentation for security service providers, end-users, geographies, security services, cloud environment, competition, market metrics and service provider analysis. This report also forecasts the growth numbers till 2018 (on a YoY basis) and hence suggests the Compound Annual Growth Rate for the estimated period. The report brings about a detailed description of the developed and emerging markets globally, service providers analysis bracketed as Enterprise/Small and Medium Businesses along with market across each service segment of cloud security (cloud IAM, SIEM, Email Security, Web Security, etc.) and cloud environment (public/private).
Cloud security is moderately growing in emerging markets of APAC while higher growth numbers are projected for the North American market. Middle-East and Africa still remain premature due to lack of customer awareness and inconsistent network infrastructure. However, with no surprise, Israel houses few of the major cloud security companies and been a power-house for research and development. Enterprise level customers look to put cloud security services on high priority due to the sensitivity of the data they deal within cloud. In a nutshell, with the growing attacks on cloud-based services and incidents of data breaches, cloud security has started to get importance and this trend is expected to go high in the years to come. The report titled "Global Cloud Security Market" showcases an in-depth analysis of the overall cloud security market in terms of market size, segmentation for security service providers, end-users, geographies, security services, cloud environment, competition, market metrics and service provider analysis. This report also forecasts the growth numbers till 2018 (on a YoY basis) and hence suggests the Compound Annual Growth Rate for the estimated period. The report brings about a detailed description of the developed and emerging markets globally, service providers analysis bracketed as Enterprise/Small and Medium Businesses along with market across each service segment of cloud security (cloud IAM, SIEM, Email Security, Web Security, etc.) and cloud environment (public/private).
Transformation During a Global Pandemic | Ashish Pandit and Scott Lee, Univer...HostedbyConfluent
When the University of California, San Diego launched its largest investment in tech in 2018, they planned to future proof their business processes and systems. Unexpectedly, it also prepared them to handle a global pandemic that changed every norm for the campus. With shelter-in-place orders taking immediate effect, they needed to quickly set up a robust online learning platform - one with powerful analytics to track student success. And, for the times students and staff are on campus, a contact tracing application was essential for their safety. We’d like to offer a conversation with Scott Lee to tell you more about UC San Diego’s rapid transformation from a traditional, on-campus institution to one of the leading examples of remote learning, and the critical role data connectivity played in making this possible.
The document provides an agenda for the Government Track at the Kafka Summit 2021. The agenda includes sessions on topics like improving veteran benefit services through efficient data streaming, Kafka migration for satellite event streaming data, Kafka powered near real-time data pipelines at extreme scale, transformation during a global pandemic, securing the message bus with Kafka streams, Kafka for connected vehicle research, and driving a digital thread program in manufacturing with Apache Kafka. Speakers include representatives from Booz Allen Hamilton, ASRC Federal, University of California San Diego, Confluent, Raft LLC, Leidos, Ohio Department of Transportation, and Mercury Systems.
Improving Veteran benefit services through efficient data streaming | Robert ...HostedbyConfluent
Having information on our Veterans and Veteran services is not an issue. The VA (VETERANS AFFAIRS) currently has petabytes of data on Veterans, the services they receive and the level of benefit to which those services align. The challenge we are aiming to solve through Confluent is the ability to publish eventing data in a manner consumable by various products - be they in–house applications or VA mobile apps - to rapidly notify a Veteran or service provider about key information concerning a claim or services received. Such information could include a change in status of a claim, requests for additional documentation to support a claim or appeal or what information should be shared when calling into the call center or what level of benefits are due when checking in at a hospital. This technology will enable the VA to provide accurate, real-time information on a claim, appeal or rating for our Veterans.
Continuous Intelligence for Customer Service Using Kafka Event Streams | Simo...HostedbyConfluent
Today’s products - devices, software and services - are well instrumented to permit users, vendors and service providers to gather maximum insight into how they are used, when they need repair and many other operational insights. Ensuring that products can rapidly adapt to a constantly changing environment and changing customer needs requires that the events they generate are analyzed continuously and in context. Insights can be synthesized from many sources in context - geospatial and proximity, trajectory and even predicted future states.Customers, vendors and service providers need to analyze, learn, and predict directly from streaming events because data volumes are huge and automated responses must often be delivered in milliseconds. To achieve insights quickly, we need to build models on-the-fly whose predictions are accurate and in sync with the real world, often to support automation. Many insights depend on analyzing the joint evolution of data sources whose behavior is correlated in time or space.In this talk we present Swim, an Apache 2.0 licensed platform for continuous intelligence applications. Swim builds a fluid model of data sources and their changing relationships in real-time - Swim applications analyze, learn and predict directly from event data. Swim applications integrate with Apache Kafka for event streaming. Developers need nothing more than Java skills. Swim deploys native or in containers on k8s, with the same code in each instance. Instances link to build an application layer mesh that facilitates distribution and massive scale without sacrificing consistency. We will present several continuous intelligence applications in use today that depend on real-time analysis, learning and prediction to power automation and deliver responses that are in sync with the real-world. We will show how easy it is to build, deploy and run distributed, highly available event streaming applications that analyze data from hundreds of millions of sources - petabytes per day. The architecture is intuitively appealing and blazingly fast.
Kafka & InfluxDB: BFFs for Enterprise Data Applications | Russ Savage, Influx...HostedbyConfluent
Modern data processing applications built on Kafka and InfluxDB deliver the performance, reliability, and flexibility that customers need for robust real-time data pipeline solutions. As the saying goes, the pipeline is greater than the sum of its Kafka and InfluxDB parts. In this session, Russ Savage, Director of Product Management at InfluxData will discuss basic concepts of integrating Kafka and InfluxDB while highlighting how companies are creating fault-tolerant, scalable and fast data pipelines with the power of InfluxDB and Kafka.
Apache Kafka and the Data Mesh | Michael Noll, ConfluentHostedbyConfluent
Data mesh is a relatively recent term that describes a set of principles that good modern data systems uphold. A kind of “microservices” for the data-centric world. While the data mesh is not technology-specific as a pattern, the building of systems that adopt and implement data mesh principles have a relatively long history under different guises.
In this talk, we share our recommendations and picks of what every developer should know about building a streaming data mesh with Kafka. We introduce the four principles of the data mesh: domain-driven decentralization, data as a product, self-service data platform, and federated governance. We then cover topics such as the differences between working with event streams versus centralized approaches and highlight the key characteristics that make streams a great fit for implementing a mesh, such as their ability to capture both real-time and historical data. We’ll examine how to onboard data from existing systems into a mesh, modelling the communication within the mesh, how to deal with changes to your domain’s “public” data, give examples of global standards for governance, and discuss the importance of taking a product-centric view on data sources and the data sets they share.
Affecto Informatica World Tour 2015: The Age of EngagementAffecto
We are moving from an era of cost optimisation and productivity to an age of engagement. This engagement is with customers, partners, third parties, and machines. At the center of every winning business strategy is data. How to accelerate your organisation’s results using the Intelligent Data Platform to manage data of any type and from any source to drive better business outcomes.
A presentation by Greg Hanson, Vice President Business Operations EMEA, Informatica
Event: https://www.meetup.com/de-DE/Vienna-Kafka-meetup/events/262314643/
Speaker: Patrik Kleindl (patrik.kleindl@bearingpoint.com)
Slides of the introduction to Apache Kafka and some popular use cases.
Slides were provided by Confluent (confluent.io)
This document discusses patterns and anti-patterns of streaming data. It begins by defining streaming as the simultaneous processing of record-by-record data from multiple sources. Some key points covered include the differences between message queues and event logs, how to structure streaming records, delivery guarantees for streaming data, and how to handle failures in distributed streaming systems. The document provides recommendations for designing streaming platforms and lists several recommended books and resources for further reading on streaming concepts.
Leveraging Data in Motion | Jun Rao, Co-Founder, Confluent | Kafka Summit APA...HostedbyConfluent
This document discusses leveraging data in motion using Apache Kafka, especially in a cloud-first world. It notes that Kafka has become the de facto standard for data in motion and is used by over 100,000 organizations globally, including 60% of Fortune 100 companies. The document introduces Confluent Cloud, which re-engineers Kafka for the cloud, providing a fully-managed platform for data in motion that offers infinite storage, elastic scaling, and other advantages over self-managed Kafka deployments. Confluent Cloud aims to unify data at rest and data in motion by keeping real-time data in cloud-native Kafka for long periods of time.
Testing Event Driven Architectures: How to Broker the Complexity | Frank Kilc...HostedbyConfluent
This document discusses testing event-driven architectures. It begins by defining common event-driven architecture patterns like event notifications and event sourcing. It then discusses brokering the complexity of event-driven architectures by describing how events are communicated between producers and consumers via channels. The document outlines what information should be included in events like payloads and headers. It also discusses the difference between orchestration and choreography in event-driven systems. It provides an example of how events can be used to mediate changes within a system using order validation. Finally, it demonstrates how to test event-driven architectures using specifications and discusses accelerating API quality through testing tools that support multiple protocols and definitions.
Why Kafka Works the Way It Does (And Not Some Other Way) | Tim Berglund, Conf...HostedbyConfluent
Studying the ""how"" of Kafka makes you better at using Kafka, but studying its ""whys"" makes you better at so much more. In looking at the tradeoffs behind a system like Kafka, we learn to reason more clearly about distributed systems and to make high-stakes technology adoption decisions more effectively. These are skills we all want to improve!
In this talk, we'll examine trade-offs on which our favorite distributed messaging system takes opinionated positions:
- Whether to store data contiguously or using an index
- How many storage tiers are best?
- Where should metadata live?
- And more.
It's always useful to dissect a modern distributed system with the goal of understanding it better, and it's even better to learn to deeper architectural principles in the process. Come to this talk for a generous helping of both.
Risk Management in Retail with Stream Processing (Daniel Jagielski, Virtuslab...HostedbyConfluent
Every 2 seconds, another person becomes a victim of identity theft. The number of online account takeovers is constantly increasing. In this talk we'll show how stream processing was used to combat this for Tesco, one of Europe's largest retailers. The massive scale of e-commerce makes it an interesting target for malicious users. We implemented a risk-management platform built around Kafka and the Confluent Platform to detect and prevent attacks, including those that come through the website's authentication page. We'll present how this project evolved over 2 years to its current state in production, together with some of the challenges we encountered on the way. As the project has had a couple of phases, we will see and compare alternative designs, summarize their pros and cons, and refer them to well known techniques - like Event Sourcing. We'll discuss the architecture and integration with external systems, before moving onto a detailed examination of the stream processors implementation and key internals such as co-partitioning of data. We'll also cover the role of stack components that we used, including Kafka Connect and Schema Registry, as well as the deployment platform, Kubernetes. Over the course of the talk we will put special emphasis on highlighting key factors to take into consideration when designing data pipelines and stream processing platform.
Mesh-ing around with Streams across the Enterprise | Phil Scanlon, SolaceHostedbyConfluent
Organisations are becoming Event Driven based on streaming technologies and adopting Data Mesh and Event Mesh architectures. As this becomes pervasive, so do the challenges around runtime governance and lifecycle management. For example, do you know what streams exist, who is producing and consuming them? What is the effect of upstream changes? How is this information kept up to date, and how do people collaborate efficiently across distributed teams and environments? Ever wish you had a way to view and visualize graphically the relationships between schemas, topics and applications? In this talk we will show you how to do that and get more value from your Kafka Streaming infrastructure using an Event Portal - an API portal specialized for event streams and publish/subscribe patterns. Join us to see how you can discover event streams from your Kafka clusters, import them to a catalog to see alongside other enterprise event streams and leverage code gen capabilities to ease development.
Real-Time Market Data Analytics Using Kafka Streamsconfluent
(Lei Chen, Bloomberg, L.P.) Kafka Summit SF 2018
At Bloomberg, we are building a streaming platform with Apache Kafka, Kafka Streams and Spark Streaming to handle high volume, real-time processing with rapid derivative market data. In this talk, we’ll share the experience of how we utilize Kafka Streams Processor API to build pipelines that are capable of handling millions of market movements per second with ultra-low latency, as well as performing complex analytics like outlier detection, source confidence evaluation (scoring), arbitrage detection and other financial-related processing.
We’ll cover:
-Our system architecture
-Best practices of using the Processor API and State Store API
-Dynamic gap session implementation
-Historical data re-processing practice in KStreams app
-Chaining multiple KStreams apps with Spark Streaming job
Event-Driven Architectures Done Right | Tim Berglund, ConfluentHostedbyConfluent
Far from a controversial choice, Kafka is now a technology developers and architects are adopting with enthusiasm. And it’s often not just a good choice, but a technology enabling meaningful improvements in complex, evolvable systems that need to respond to the world in real time. But surely it's possible to do wrong! In this talk, we'll look at common mistakes in event-driven systems built on top of Kafka:
- Deploying Kafka when an event-driven architecture is not the best choice.
- Ignoring schema management. Events are the APIs of event-driven systems!
- Writing bespoke consumers when stream processing is a better fit.
- Using stream processing when you really need a database.
- Trivializing the task of elastic scaling in all parts of the system.
It's highly likely for medium- and large-scale systems that an event-first perspective is the most helpful one to take, but it's early days, and it's still possible to get this wrong. Come to this talk for a survey of mistakes not to make.
From Legacy SQL Server to High Powered Confluent & Kafka Monitoring System at...HostedbyConfluent
This document discusses SunPower's transition from a legacy SQL server to a Confluent & Kafka monitoring system. Some key points:
- SunPower has over 6 million devices in the field sending data every 5 minutes that they need to monitor to ensure 20-year performance guarantees.
- They want to understand performance challenges like weather or faults using data to deliver customer value.
- They implemented Kafka as a central system to blend sensor and other data sources to generate value and allow engineering teams access to enriched data.
- Future plans include panel-level monitoring in an app to quickly identify issues and determine resolutions.
apidays LIVE Australia 2020 - Building an Enterprise Eventing Platform by Gna...apidays
apidays LIVE Australia 2020 - Building Business Ecosystems
Building an Enterprise Eventing Platform using Apache Kafka
Gnanaguru Sattanathan, Solutions Engineer at Confluent, Kevin Barton Solution Designer at NAB & Mathew Chai, NAB
Digital Transformation Mindset - More Than Just Technologyconfluent
The document discusses how digital transformation requires an event-driven mindset and streaming platforms. It describes how a streaming platform can act as the central nervous system of a modern digital enterprise by enabling event-centric thinking, serving as the foundation for data integration and storage, and allowing data to drive applications in real-time. The document outlines Confluent's role in developing the open-source Apache Kafka streaming platform and discusses how various companies are using streaming platforms for applications like real-time customer experiences, fraud detection, and rewriting client experiences.
Maximizing the Capabilities of Kafka – Real-Time Streaming of Event-Driven Da...HostedbyConfluent
Push Technology, a verified gold technology partner, developed the Diffusion Kafka Adapter to meet the evolving requirements of the Kafka community. Diffusion is an Intelligent Event-Data Platform. Using Push’s Kafka Adapter, developers extend Kafka solutions efficiently and securely over the Internet, streaming real-time, event-driven data to millions of end-user apps and IoT devices. The adapter automatically maps Kafka message types to JSON, allowing web, mobile, and IoT clients to securely consume the data stored as rich data structures within Kafka. The adapter enables developers to configure how imported topics are structured, and to import topics that match a regular expression. The adapter can translate data from Kafka topics to Diffusion topics, and from Diffusion to Kafka. The adapter is designed it to make it quick and easy to integrate Kafka with Diffusion. The presentation will provide real-world examples of how the adapter is used to power Kafka in an event-driven world.
Cloud security is moderately growing in emerging markets of APAC while higher growth numbers are projected for the North American market. Middle-East and Africa still remain premature due to lack of customer awareness and inconsistent network infrastructure. However, with no surprise, Israel houses few of the major cloud security companies and been a power-house for research and development. Enterprise level customers look to put cloud security services on high priority due to the sensitivity of the data they deal within cloud. In a nutshell, with the growing attacks on cloud-based services and incidents of data breaches, cloud security has started to get importance and this trend is expected to go high in the years to come. The report titled "Global Cloud Security Market" showcases an in-depth analysis of the overall cloud security market in terms of market size, segmentation for security service providers, end-users, geographies, security services, cloud environment, competition, market metrics and service provider analysis. This report also forecasts the growth numbers till 2018 (on a YoY basis) and hence suggests the Compound Annual Growth Rate for the estimated period. The report brings about a detailed description of the developed and emerging markets globally, service providers analysis bracketed as Enterprise/Small and Medium Businesses along with market across each service segment of cloud security (cloud IAM, SIEM, Email Security, Web Security, etc.) and cloud environment (public/private).
Cloud security is moderately growing in emerging markets of APAC while higher growth numbers are projected for the North American market. Middle-East and Africa still remain premature due to lack of customer awareness and inconsistent network infrastructure. However, with no surprise, Israel houses few of the major cloud security companies and been a power-house for research and development. Enterprise level customers look to put cloud security services on high priority due to the sensitivity of the data they deal within cloud. In a nutshell, with the growing attacks on cloud-based services and incidents of data breaches, cloud security has started to get importance and this trend is expected to go high in the years to come. The report titled "Global Cloud Security Market" showcases an in-depth analysis of the overall cloud security market in terms of market size, segmentation for security service providers, end-users, geographies, security services, cloud environment, competition, market metrics and service provider analysis. This report also forecasts the growth numbers till 2018 (on a YoY basis) and hence suggests the Compound Annual Growth Rate for the estimated period. The report brings about a detailed description of the developed and emerging markets globally, service providers analysis bracketed as Enterprise/Small and Medium Businesses along with market across each service segment of cloud security (cloud IAM, SIEM, Email Security, Web Security, etc.) and cloud environment (public/private).
Cloud security is moderately growing in emerging markets of APAC while higher growth numbers are projected for the North American market. Middle-East and Africa still remain premature due to lack of customer awareness and inconsistent network infrastructure. However, with no surprise, Israel houses few of the major cloud security companies and been a power-house for research and development. Enterprise level customers look to put cloud security services on high priority due to the sensitivity of the data they deal within cloud. In a nutshell, with the growing attacks on cloud-based services and incidents of data breaches, cloud security has started to get importance and this trend is expected to go high in the years to come. The report titled "Global Cloud Security Market" showcases an in-depth analysis of the overall cloud security market in terms of market size, segmentation for security service providers, end-users, geographies, security services, cloud environment, competition, market metrics and service provider analysis. This report also forecasts the growth numbers till 2018 (on a YoY basis) and hence suggests the Compound Annual Growth Rate for the estimated period. The report brings about a detailed description of the developed and emerging markets globally, service providers analysis bracketed as Enterprise/Small and Medium Businesses along with market across each service segment of cloud security (cloud IAM, SIEM, Email Security, Web Security, etc.) and cloud environment (public/private).
Cloud security is moderately growing in emerging markets of APAC while higher growth numbers are projected for the North American market. Middle-East and Africa still remain premature due to lack of customer awareness and inconsistent network infrastructure. However, with no surprise, Israel houses few of the major cloud security companies and been a power-house for research and development. Enterprise level customers look to put cloud security services on high priority due to the sensitivity of the data they deal within cloud. In a nutshell, with the growing attacks on cloud-based services and incidents of data breaches, cloud security has started to get importance and this trend is expected to go high in the years to come. The report titled "Global Cloud Security Market" showcases an in-depth analysis of the overall cloud security market in terms of market size, segmentation for security service providers, end-users, geographies, security services, cloud environment, competition, market metrics and service provider analysis. This report also forecasts the growth numbers till 2018 (on a YoY basis) and hence suggests the Compound Annual Growth Rate for the estimated period. The report brings about a detailed description of the developed and emerging markets globally, service providers analysis bracketed as Enterprise/Small and Medium Businesses along with market across each service segment of cloud security (cloud IAM, SIEM, Email Security, Web Security, etc.) and cloud environment (public/private).
Cloud security is moderately growing in emerging markets of APAC while higher growth numbers are projected for the North American market. Middle-East and Africa still remain premature due to lack of customer awareness and inconsistent network infrastructure. However, with no surprise, Israel houses few of the major cloud security companies and been a power-house for research and development. Enterprise level customers look to put cloud security services on high priority due to the sensitivity of the data they deal within cloud. In a nutshell, with the growing attacks on cloud-based services and incidents of data breaches, cloud security has started to get importance and this trend is expected to go high in the years to come. The report titled "Global Cloud Security Market" showcases an in-depth analysis of the overall cloud security market in terms of market size, segmentation for security service providers, end-users, geographies, security services, cloud environment, competition, market metrics and service provider analysis. This report also forecasts the growth numbers till 2018 (on a YoY basis) and hence suggests the Compound Annual Growth Rate for the estimated period. The report brings about a detailed description of the developed and emerging markets globally, service providers analysis bracketed as Enterprise/Small and Medium Businesses along with market across each service segment of cloud security (cloud IAM, SIEM, Email Security, Web Security, etc.) and cloud environment (public/private).
Cloud security is moderately growing in emerging markets of APAC while higher growth numbers are projected for the North American market. Middle-East and Africa still remain premature due to lack of customer awareness and inconsistent network infrastructure. However, with no surprise, Israel houses few of the major cloud security companies and been a power-house for research and development. Enterprise level customers look to put cloud security services on high priority due to the sensitivity of the data they deal within cloud. In a nutshell, with the growing attacks on cloud-based services and incidents of data breaches, cloud security has started to get importance and this trend is expected to go high in the years to come. The report titled "Global Cloud Security Market" showcases an in-depth analysis of the overall cloud security market in terms of market size, segmentation for security service providers, end-users, geographies, security services, cloud environment, competition, market metrics and service provider analysis. This report also forecasts the growth numbers till 2018 (on a YoY basis) and hence suggests the Compound Annual Growth Rate for the estimated period. The report brings about a detailed description of the developed and emerging markets globally, service providers analysis bracketed as Enterprise/Small and Medium Businesses along with market across each service segment of cloud security (cloud IAM, SIEM, Email Security, Web Security, etc.) and cloud environment (public/private).
The document summarizes ResearchFox Consulting's report on the cloud security market outlook for the Asia Pacific region from 2014 to 2018. It provides an overview of the research methodology, scope, and key findings of the report, which analyzes the cloud security industry landscape, market segmentation, competitive analysis, and forecasts growth in the APAC region.
Cloud security is moderately growing in emerging markets of APAC while higher growth numbers are projected for the North American market. Middle-East and Africa still remain premature due to lack of customer awareness and inconsistent network infrastructure. However, with no surprise, Israel houses few of the major cloud security companies and been a power-house for research and development. Enterprise level customers look to put cloud security services on high priority due to the sensitivity of the data they deal within cloud. In a nutshell, with the growing attacks on cloud-based services and incidents of data breaches, cloud security has started to get importance and this trend is expected to go high in the years to come. The report titled "Global Cloud Security Market" showcases an in-depth analysis of the overall cloud security market in terms of market size, segmentation for security service providers, end-users, geographies, security services, cloud environment, competition, market metrics and service provider analysis. This report also forecasts the growth numbers till 2018 (on a YoY basis) and hence suggests the Compound Annual Growth Rate for the estimated period. The report brings about a detailed description of the developed and emerging markets globally, service providers analysis bracketed as Enterprise/Small and Medium Businesses along with market across each service segment of cloud security (cloud IAM, SIEM, Email Security, Web Security, etc.) and cloud environment (public/private).
Data handling and its security has always been a cause of concern for enterprises considering proper optimization of storage facilities. Magnetic tape storage, invented during 1920s, was the first means of data storage in organizations. As the storage systems evolved magnetic drums, DRAM cells, floppy disks, CD ROMs, flash drives were user for data storage during the time period of 1930s to 1990s. The new millennium saw the disruption in the storage market with launch of SD cards, flash storage systems, holographic memory etc. With the advent of Cloud Computing, cloud storage gained traction and cloud backup solutions became the part of disaster recovery strategy in enterprises.The demand for storage has been increasing in organizations with the accumulation and digitization of data and the inability of traditional storage systems to meet the storage demands. Enterprises demand a scalable storage solution with low investments and least maintenance. Digital data has become complicated with digitization in every field. The drawback of traditional storage solutions are that it is not compatible with today's need and incur more cost in terms of storage solution. It would also require an organization to revamp the storage strategy as well as invest in technical personnel to implement and maintain the storage systems. Cloud storage gives easy access to enterprise data at reduced costs with a service model that manages the backup data remotely and makes it available to the user over a network.
Cloud security is moderately growing in emerging markets of APAC while higher growth numbers are projected for the North American market. Middle-East and Africa still remain premature due to lack of customer awareness and inconsistent network infrastructure. However, with no surprise, Israel houses few of the major cloud security companies and been a power-house for research and development. Enterprise level customers look to put cloud security services on high priority due to the sensitivity of the data they deal within cloud. In a nutshell, with the growing attacks on cloud-based services and incidents of data breaches, cloud security has started to get importance and this trend is expected to go high in the years to come. The report titled "Global Cloud Security Market" showcases an in-depth analysis of the overall cloud security market in terms of market size, segmentation for security service providers, end-users, geographies, security services, cloud environment, competition, market metrics and service provider analysis. This report also forecasts the growth numbers till 2018 (on a YoY basis) and hence suggests the Compound Annual Growth Rate for the estimated period. The report brings about a detailed description of the developed and emerging markets globally, service providers analysis bracketed as Enterprise/Small and Medium Businesses along with market across each service segment of cloud security (cloud IAM, SIEM, Email Security, Web Security, etc.) and cloud environment (public/private).
The penetration testing market is expected to grow from $1.7 billion in 2020 to $30.5 billion by 2025 at a CAGR of 21.8%. The market covers solutions and services for testing web, mobile, network, and cloud applications across industries like BFSI, healthcare, IT, and education. Major players in the market include Qualys, Rapid7, FireEye, IBM, and Micro Focus. North America currently holds the largest market share but the Asia Pacific region is expected to provide growth opportunities.
Penetration testing market is expected to grow $4.5 billion by 2025DheerajPawar4
The penetration testing market is expected to grow from $1.7 billion in 2020 to $30.5 billion by 2025 at a CAGR of 21.8%. The market covers solutions and services for testing web, mobile, network, and cloud applications across industries like BFSI, healthcare, IT, and education. Major players in the market include Qualys, Rapid7, FireEye, IBM, and Micro Focus. North America currently holds the largest market share but the Asia Pacific region is expected to provide growth opportunities.
Intrusion detection and prevention systems market is expected to grow $7.1 bi...DheerajPawar4
[175 Pages Report] Intrusion detection and prevention systems market categorizes the global market by solutions, services, type, deployment type, organization size, vertical & region.
Secure web gateway market report by marketsand marketsDheerajPawar4
The secure web gateway market is projected to grow from $4.6 billion in 2019 to $10.9 billion by 2024 at a CAGR of 19.1%. Large enterprises are strongly investing in secure web gateway solutions to increase productivity and efficiency. Key vendors include NortonLifeLock Inc., Zscaler, Inc., and Cisco Systems Inc. North America currently holds the largest market share but Asia Pacific is expected to provide growth opportunities at the highest rate.
Secure web gateway market vendors by size, share & growth strategies 20...DheerajPawar4
[159 Pages Report] To provide detailed information about the major factors (drivers, restraints, opportunities, and challenges) influencing the growth of the SWG market.
Intrusion detection and prevention systems market vendors by size, share &...DheerajPawar4
[316 Pages Report] Intrusion detection and prevention systems market categorizes the global market by solutions, services, deployment type, organization size, vertical & region.
Intrusion detection and prevention systems market industry analysis and forecastDheerajPawar4
[316 Pages Report] To provide detailed information about the major factors (drivers, restraints, opportunities, and challenges) influencing the growth of the IDPS market.
Intrusion detection and prevention systems market worth $6.2 billion by 2025DheerajPawar4
[316 Pages Report] Intrusion detection and prevention systems market categorizes the global market by solutions, services, deployment type, organization size, vertical & region.
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Covid 19 Market Impact Paradigms April 2020Niraj Singhvi
At the cusp of possibly the most significant market drawdown and economic shock we've seen since the financial crisis, MGP looks at market impact paradigms to assess basal market impact of such events. And while current private equity war chests are well equipped to help alleviate pressures enabled by some rationalization of deal multiples in the wake of current turbulence, it also faces a major risk if these events lead to genuine economic deterioration.
Impact of Covid 19 on Economic Activity in South East AsiaNiraj Singhvi
Amidst the ongoing global coronavirus pandemic, we were looking for an effective barometer to evaluate economic activity in the countries that have already implemented restrictive measures to “ flatten the curve”. Traditional indicators proved insufficient as the absence of daily reporting restricted real time analysis of economic activity. We settled on using city/region wise pollution index as a proxy for economic activity since it is a function of overall movement/commercial activity and is also reported on a daily basis.
Contemplating Covid 19 Economic Recovery and a Market Performance Comparison ...Niraj Singhvi
Maple Growth Partners is of the opinion that the economic recovery will likely be W-shaped, however, it all depends on the stricter/ longer government interventions during the course of the virus outbreak. We looked at the market performance during the prior outbreaks to understand the length of the virus impact on to the economy. Interestingly, all the previous major virus outbreaks occurred when the world was already dealing with some political/ economic adversities. We provided a gist of typical leading/lagging economic indicators to be cognizant of the ongoing market impact driven by Covid 19 outbreak. Lastly,
we also analyzed gold prices to see if there’s any shift in demand for this safe haven asset during periods of pandemic uncertainties.
Indian Construction Equipment and Infrastructure Financing MarketNiraj Singhvi
This report is prepared by Maple Growth Partners, an investment research and strategic advisory firm.
One of our Singapore-based impact investing fund client had asked us to conduct a detailed study within the Indian NBFC market to identify growth segments based on their investment criteria. They were looking for tech-oriented companies with an investment ticket size of less than $1 million. This full report is a 300 pager document providing a detailed overview of the Indian NBFC industry.
We first provided a broad overview of the Indian NBFC market and identified 12 service segments such as SME, education, healthcare, auto, housing, infra finance, construction equipment finance, loan against property (LAP), affordable housing, microfinance, gold, and wholesale finance. Of these identified segments, we carried out a detailed study on the following 9 segments our client was broadly interested into: SME, auto, healthcare, education, housing, affordable housing, construction equipment finance, infra finance, and LAP.
Then, we compared and evaluated all these segments based on a strict investment parameter framework to come up with a more fact-based (rather than intuitive) investment rationale and go-to-market strategies. We later presented our sector insights, value creation game plan, and actionable targets for each of the attractive segments, along with a directory of industry experts and influencers so that our client had the primary first-hand resource to assess the investment opportunities within the identified attractive service segments.
While the entire report is exclusive for the said client, we have provided our piecemeal analysis of the two least interested sectors (from the client perspective) i.e. infrastructure financing and construction equipment finance in order to showcase our research and analytical skill-sets and capabilities.
USA Multi Level marketing Industry Research 2018Niraj Singhvi
This report is prepared by Maple Growth Partners, an investment research and strategic advisory firm.
We recently evaluated the US multi level marketing industry for our client, a US-based private investment firm. In this report, we provided a typical performance cycle of an MLM company; identified suitable KPIs to analyze and compare competitor firms; and commented on general MLM market dynamics.
We identified that ‘pop and drop’ is the typical performance curve for a MLM firm. Pop and drop can be defined as a paradigm when sales massively increase in the initial years and then subsequently experience a sharp drop right after hitting the peak level. Typically, drop in sales of the existing markets are usually covered by the gains in sales of new markets. This is pretty much a non-ending cycle of entering and exiting new markets.
Increasing number of people joined MLM industry during and post 2008-09 recession with the hope of additional/secondary income but sales dropped as it was difficult to sell (already inflated) products.
- Direct selling retail sales per person was the lowest in 2009, peak of recession
- As the number of people involved in direct selling is increasing, direct sales per person has been on a declining trend
We also included top 55 companies in the US and compared them using a standard template by populating data fields such as key products/services, compensation structure, sales method, geographies, financials, member churn rate, business entry fee, % of sales commission, etc.
USA Podiatry Market High Level OverviewNiraj Singhvi
This report is prepared by Maple Growth Partners, an investment research and strategic advisory firm.
The primary purpose of this quick-turnaround project was to provide a high-level market overview of podiatry practices’ growth prospects and market dynamics in the US. Our client, a US-based healthcare private equity investment professional, was largely interested in understanding the prevailing market trends, growth drivers, and podiatry economics.
Major pointers we highlighted for podiatry industry investment consideration:
- While podiatry overhead expenses has increased significantly, podiatrists are able to pass on the incremental cost to the patient/payer with a year in lag
- Current supply of ~13,000 podiatrists are most likely meeting sufficient portion of the unmet demand and this supply-demand gap will likely diminish going forward
- High student debt will likely inhibit incoming podiatrists to start their own practice and will likely compel them to join a group practice
- Podiatry is a local/regional play as opposed to other limited practitioners such as dentists which is truly a national play
Following trends were presented that influenced the economics of a podiatry practice:
- Gross income and net income for overall types of US podiatry practices have increased in recent years
- Contrary to the market perception, gross income for solo practices in the US has shown signs of decent growth in recent years
- On an overall basis (both solo and group practices) for net income, recently-formed group practices have been driving up the net income range for practices that are less than 10 years old
- They are utilizing new tech to differentiate themselves and to improve the diagnosis and treatment quality
- Podiatrists are looking to utilize assistance of nurse practitioners and physician assistants
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We had also included podiatry transactions in the previous 10 years; one-pager profiles of major competitors; and regulations by states.
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USA Information Security Compliance Market Overview
1. 0
United States IT Security Compliance Market Overview
Market Study and Competitive Landscape
2018
Maple Growth Partners
While the full report is exclusively prepared for the said client, we have provided a gist of our overall
analysis to showcase our research capabilities.
2. 1
• This project was commissioned by one of our $250mn+ private equity fund client. The primary objective of this
report was to provide a market overview of the requested standards within the IT security compliance industry
along with their adoption rates by relevant geographies, identification of the most attractive growth pockets
globally to scale operations, and a detailed competitive landscape / bolt-on acquisition targets list
• Standards included were PCI; HIPAA; HITRUST; EI3PA; FedRamp; SOC 1 and SOC 2; GDPR; and
NYDFS
• As a part of an exercise to identify the most attractive geography pockets for IT security compliance to scale
operations globally, we provided a detailed cybersecurity preparedness research for each country to
eventually come up with necessary insights to present the most suitable countries to invest in from a US PE
portfolio company perspective
• We then screened hundreds of companies and identified 151 relevant competitors / bolt-on acquisition targets
and have presented them in a matrix format outlaying their presence across standards along with ownership
details in a standardized profile template
• From a PE perspective, we believe that this industry is perfectly positioned for a roll-up strategy. Broadening
the scope of solutions offered to sell more to one client, coupled with scalability through cloud adoption and
outsourcing the operations/support functions will likely enhance incremental value in the respective target
• While the full report is exclusively prepared for the said client, we have provided a gist of our overall analysis
to showcase our research capabilities, especially for a niche market such as IT security compliance.
Project Objective and Focus of the Document
3. 2
Table of Contents
Executive Summary
A. IT Security Compliance Market Overview
B. IT Security Compliance Market by Standards
C. Industry Trends
i. Penetration / Adoption Rates by Standards
ii. Growth Pockets - Ranking of Markets With Highest Business Opportunity
D. Enterprise Security Market by Key Service Segments
E. Unit Economics / Major Costs
F. Regulatory Overview
G. Investment Thesis and Risks / Concerns
H. Value Creation Playbook
I. 151 Competitors / Potential Targets for Bolt-On Acquisitions
J. PE/VC and M&A Transactions (Of the Presented 151 Competitors)
K. Transaction Advisors, Influencers, and Conferences
i. PCI
ii. HIPAA
iii. HITRUST
iv. SOC 1 and SOC 2
v. EI3PA
vi. FedRamp
vii. GDPR
viii. State of New York Standard
4. 3
Executive Summary
• Market Size and Growth Outlook: The global governance, risk, and compliance (GRC) market is expected to grow from
$8.5bn in 2016 to $11.8bn by 2021 at a CAGR of 6.7%
• Favorable Macros: The market is expected to grow at a solid rate as business leaders are looking for compliance solutions to
meet the challenges of regulatory change, increasing cybersecurity threats, third-party exposure, and reputation risk
• The cybersecurity market is experiencing a shift in spend from prevention to detection and response
• It is a large and underserved market for risk and performance management software. While the US and European
markets are moderately penetrated with the industry’s services, other developing regions such as Asia-Pacific, Middle
East, and South America exhibit low cybersecurity adoption rates currently, hereby, expanding the scope of immediate
addressable market
• Growth Pockets: As a part of an exercise to identify the most attractive geography pockets for IT security compliance to scale
operations globally, we have provided a detailed cybersecurity preparedness research for each country to eventually come up
with the insights to present the most suitable countries to invest in from a US PE portfolio company perspective –
• Chile, Vietnam, Greece, Kazakhstan, Angola, Kuwait, and Slovakia provide relatively large addressable market and high
growth cybersecurity adoption potential
• Competitive Landscape / Bolt-On Acquisition Targets List: We then screened hundreds of companies and identified 151
relevant competitors / bolt-on acquisition targets and have presented them in a matrix format outlaying their presence across
standards along with ownership details in a standardized profile template
• Value Creation Strategy: Broadening the scope of solutions offered to sell more to one client, coupled with scalability through
cloud adoption and outsourcing the operations/support functions will likely enhance incremental value in the respective target
• From a PE perspective, we believe that this industry is perfectly positioned for a roll-up strategy
• Private equity firms (that are looking to build an integrated risk and compliance management platform) can
facilitate a smooth transition to exit by scouting for potential add-ons to improve cost synergies and enhance
global scalability in this large, underserved, yet highly fragmented market with no real dominant players
5. 4
IT Security Compliance – Service Landscape
IT Security Compliance – Service Landscape
Regulatory
compliance and
audit services
Vulnerability
management
Data security
services
Cloud Solution Providers (CSP)
Data centers / Infra compliant
services
Government Entities
Financial institutions
Healthcare Organizations
Large Enterprises (Inc. Public
Companies) and SMEs
E-Commerce
Financial Services
Government
Healthcare
Insurance
Manufacturing
Retail
Technology
Utilities
Education
IT Security
Compliance Firms
Primary Customers (sourced directly
from sales team or channel partners)
End-Markets or Key
Focused Industries
TypicallyprovidesolutionsthroughaSaaSmodel,withone-
timeservicefeeorrenewableannualsubscriptions
PCI, HIPAA, HITRUST,
SOC 1, SOC 2, EI3PA,
GDPR, FedRamp,
NYDFS, etc.
Vulnerability intelligence
and security patch
management to reduce
cybersecurity risks
Services that stops
threats, manages risk
and compliance, and
protects one’s business
Security,management,supportandinfrastructuretomeeta
varietyofcompliancerequirementsforspecificindustries
PrimaryserviceSecondaryservices
Source: MGP insights
6. 5
Typical Compliance Assessment Process
Required for NIST 800-171 Compliance
Typical Compliance Assessment Process
Source: Imprimis Inc. Youtube Video - Cybersecurity Compliance: Process Overview
7. 6
Standards Description Market Size Growth
Relevant
Industry
Assessment
Frequency
Pricing Penetration
PCI
Refers to payment security standards that ensure all sellers safely
and securely accept, store, process, and transmit cardholder data
during a credit card transaction
North America
Payment Security:
~$4.6bn
Global: ~$11.4bn
~15-17% Credit Card
Quarterly and
annual
~$100-
$50,000
~50%
HIPAA
United States legislation that sets data privacy and security
provisions for safeguarding medical information, such as medical
records and other identifiable health information
North America
Healthcare
cybersecurity:
~$2.3bn
Global: ~$5.5bn
~8-9% Healthcare
Ranges 1-3
years
~$20,000-
$60,000
~70%
HITRUST
In collaboration with healthcare, technology and information security
leaders, it has established a Common Security Framework (CSF)
that can be used by all organizations that create, access, store or
exchange sensitive and/or regulated data
- - Healthcare Typical annual
~$60,000-
$80,000
83% of
Hospitals and
82% of Health
Plans
SOC 1 and
SOC 2
SOC audits to comply with the SSAE 16 standards. Sets auditing
standards for attestation engagements.
Global Audit
Management
Software: ~$1bn
12%
Service
Organizations
Typical annual
~$15,000-
$30,000
~100%, as its
mandatory
for all
relevant firms
EI3PA
Experian created a set of requirements to promote stronger
protection of consumer credit information
- -
Consumer
Credit
Annual - -
FedRamp
A government-wide program that provides a standardized approach
to security assessment, authorization, and continuous monitoring for
cloud products and services
US Federal Cloud
Computing Market:
~$4.7bn
~16%
Federal
Agencies
Typical annual
~$250,000-
$385,000
~40%
GDPR
A regulation by which the European Parliament, the Council of the
European Union and the European Commission intend to strengthen
and unify data protection for all individuals within the European
Union (EU). It also addresses the export of personal data outside the
EU
~$258mn in 2016,
expected to reach
$1.7bn in 2019
~87.5% Universal Typical annual
~$1-10mn
for US
companies
US (84%),
Europe (75%)
NYDFS
First in the US to impose cyber security standards for the financial
services industry in the midst of the looming threat of hack attacks
threatening the privacy of consumer data.
- -
Financial
Institutions
-
~$4,000-
$12,000
~67%
Summary of All Requested Standards – IT Security Compliance Services Market
Source: MGP Research Compilation
8. 7
Global Cybersecurity Index World Heat Map by Commitment Levels
Global Cybersecurity Index World Heat Map by Commitment Levels
North America region (along with Australia) is the most committed towards cybersecurity, followed by Europe / Eurasia
region. Asia Pacific and South America are expected to increase their cybersecurity commitment levels going forward.
Africa is the least compliant region with minimal efforts towards cybersecurity.
Source: ITU - Global Cybersecurity Index (GCI) 2017
Potential growth pockets
– incremental sales
driven by a marginal
uptick in adoption
9. 8
Private Equity Roll-Up Strategy to Facilitate a Smooth and Incremental Transition
to Exit
Portfolio
Company
Bolt On
1
Bolt On
2
Bolt On
3
MultiCompanyMerger
Post Merger Integration: Group Company With Combined
Complementary Capabilities Into a Full-Service Business
Pre Roll-Up Strategy: Scout for Potential Add-Ons
to Improve Synergies and Enhance Scalability
Post Roll-Up and Exit Planning – Increasing Scale
Generally Enhances the Options Available for Exit
Rolling-Up Options:
• Rolling up across geographies for an expanded
footprint
• Rolling up solutions - taking portfolio company
from a one-solution company to a multi-solution
company
Most Successful Roll-ups Target Large, Yet Highly Fragmented Industries With No Real Dominant Players
Rolling-Up Advantages:
• Enhanced value through cost synergies / economies of
scale
• Valuation multiple arbitrage
• Improved exit options
• Global reach and scalability
• Integrated platform with broader suite of services offer
cross-selling opportunities, smarter solutions, more
expertise and expanded reach to innovate and meet
customers, and a centralized brand
• Roll-up strategy in SaaS is by acquiring and combining a
number of vendors in a space to create a best-of-breed
provider
• These combined entities would then be primed for IPO or a
later sale, deriving cost synergies by reducing duplicative
expenses among the multiple organizations, while still
investing in growth
• Roll-ups are a part of the consolidation process that usually
occurs as new market sectors mature
Source: MGP insights
11. 10
Major Cost for the IT Security Consulting Industry is to Cover the Employee
Expenses
Major costs for the IT Security Consulting companies:
• Wages (~50% of revenue): As with most service-oriented industries, wages for highly skilled employees with
extensive hardware and software knowledge represent the largest cost incurred by firms operating in the IT
security consulting industry. However, there has been an ongoing trend of outsourcing operations and
support-oriented services to countries like India, an effort to reduce overall cost of employee and operations
expenses
• Purchases (~50% of revenue): The majority of purchases are for computer hardware and software used for
evaluating and preventing IT security threats. Purchases as a portion of average industry expenditures
increased, largely a result of the increased level and sophistication of technology
• Others (~20% of revenue): Primarily accounts for the research and development expenses. Industry firms
invest a large portion of their revenue in developing new products to open up new markets and gain a
competitive edge. As cyber threats increase, IT security consulting firms increasingly invest in R&D to fight off
the new threats
IT Security Consulting Companies’ Cost Structure
Wages, 47.8% Purchases, 18.6%
Depreciation, 0.8%
Marketing, 2.0%
Rent and Utilities, 3.0%
Others, 19.5%
Operating
Profit, 8.3%
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
OperatingExpenses
(%ofRevenue)
Source: IBIS World - IT Security Consulting in the US October 2016
12. 11
Qualys – A Market Leading IT Security and Compliance Solutions Provider:
Key Financials Overview
Qualys, Inc. provides cloud-based security and compliance solutions in the US and globally. It offers Qualys Cloud Apps, which
includes asset inventory, CMDB sync, vulnerability management, continuous monitoring, cloud agent, threat protection, security
configuration assessment, indication of compromise, policy compliance, PCI compliance, security assessment questionnaire, etc.
Qualys Revenue ($ mn) and y-o-y Revenue Growth
65 76 91 108 134
164
198
231
277
325
382
14%
17%
20%
18%
24% 23%
21% 17% 20%
17%
18%
0%
5%
10%
15%
20%
25%
-
100
200
300
400
500
2010 2011 2012 2013 2014 2015 2016 2017 2018E 2019E 2020E
GrowthY-o-Y
Revenue($mn)
Revenue Revenue Growth Y-o-y
Strong and consistent organic revenue growth outperforming market and gaining share
Qualys Gross Profit Margin Qualys EBITDA Margin
82.9% 82.6%
79.9%
77.2%
78.3%
79.1% 78.2%
77.7%
78.8%
78.9%
74%
76%
78%
80%
82%
84%
2010 2011 2012 2013 2014 2015 2016 2017 2018E2019E
Ongoing steady operating margins but expected to
improve through the projected period
This has increased significantly since 2014 primarily due
to the continued momentum in cloud agents platform¹
8.8%
10.9%
11.3%
11.0%
15.8%
23.8%
24.2%
25.1%
35.3% 35.6%
0.0%
10.0%
20.0%
30.0%
40.0%
2010 2011 2012 2013 2014 2015 2016 2017 2018E2019E
Cloud agent platform¹ was introduced in 2015. Since then, SG&A
margin has declined from 51.7% in 2014 to 43.0% in 2017
Note: 1. Cloud agents platform extends Qualys’ industry-leading cloud security and compliance platform with lightweight agents to continuously assess security and
compliance of organizations’ global IT infrastructure and applications. It is centrally managed and self-updating, with no need to reboot.
Source: Company Filings; Investor Presentation; Capital IQ; Projections from CapIQ Estimates
13. 12
Qualys: Strong Customer Retention With Expanding Platform; Growth in the
Number of Cloud Agents Sold, and Best-In-Class EBITDA Margins
Qualys Quarterly Revenues ($mn) v/s Customers Number of Cloud Agents Sold (In millions)
2.6
3.4
4.7
6.0
LTM Q1 2017 LTM Q2 2017 LTM Q3 2017 LTM Q4 2017
Q3 CY2017 EBITDA Margin v/s Select Security and SaaS Peers
Qualys - Industry-leading margins and scalable business model
($inmillions)
Exponential
increase in
revenue
coupled with
steady growth
in customers
indicate strong
customer
retention
Source: Qualys Investor Presentation February 2018
15. 14
Single Platform Architecture – Broaden the Scope of Solutions Offered…
Broader IT Security Compliance Activities and Respective Applications
• A single platform architecture streamlines activities, creates more efficiencies, and delivers bottom-line advantages
• By transforming multiple, disparate single-use applications into a single, cohesive and self-managed GRC platform,
companies can save substantial dollars through resource optimization, reduced maintenance costs and higher GRC
productivity
• According to a Deloitte survey, 85% of companies believe their organization would benefit from integrating and
streamlining use of technology for GRC activities enterprise-wide
Compliance IT
Third Party /
Vendor
Management
Control
Management
and Testing
Risk
Management
Audit
Management
• Policy
management
• Risk
assessment
• Controls testing
• Rules inventory
mapping
• Regulatory
change
management
• Regulatory
engagement
management
• Compliance
management
• Risk
assessments
• Threat and
vulnerability
management
• Third party
onboarding
• Third party
contracts
• Third party risk
assessment
• Third party
monitoring
• Finance
controls
• IT controls
• Business
controls
• Risk
assessments
• Risk event data
capture
• Metrics capture
• Scenario
analysis
• Resource and
timesheet
management
• Risk
assessment
• Work paper
management
• Finding and
remediation
management
Focus to evolve from compliance solutions to other related applications in
order to provide an enterprise-wide integrated risk management platform
VCP 1
16. 15
…To Sell More to One Client, Thereby Accelerating Platform Adoption;
Case In Point – Qualys Numbers Presented Below
% of Enterprise customers with 4+ Qualys products has almost doubled in the last year
% of Customers with 3 or more Qualys Solutions % of Customers with 4 or more Qualys Solutions
Qualys Q3 CY2017 EBITDA Margin v/s Select Security and SaaS Peers
16%
20%
26%
32%
0%
5%
10%
15%
20%
25%
30%
35%
2014 2015 2016 2017
1%
3%
8%
15%
0%
2%
4%
6%
8%
10%
12%
14%
16%
2014 2015 2016 2017
$42k $46k $50k $47k
$111k
$131k
$154k
$182k
$60k
$151k
$179k
$239k
$0k
$50k
$100k
$150k
$200k
$250k
$300k
2014 2015 2016 2017
Enterprise customers with 1 product Enterprise customers with 3+ products Enterprise customers with 4+ products
Enterprise customers with 4+ products spend more than 5x 1-product customers
Source: Qualys Investor Presentation February 2018
VCP 2
17. 16
Scalability Through Cloud Adoption, Capitalizing the Shifting Trend From
Physical to Virtual IT
• Growth in the GRC market is primarily due to the rise of cloud solutions, which are growing faster than the overall market
• Adoption of GRC applications among small and medium-sized businesses, line of business managers, and less-
regulated industries have been central to the growth of these cloud-based solutions.
• Enterprises shift from physical to virtual IT, whether public or hybrid cloud, the priorities become scalability, managing who is
granted entry in and dynamically protecting workloads
• Cloud computing paradigm is (1) on-demand, (2) borderless, (3) without hardware, (4) consumption model pricing, and
(5) scalable
• Traditional hardware approaches to security (appliances) fail on each of these accounts. Appliances require capacity
planning, aren’t on-demand or scalable, are predicated on rigid hardware, and assume the existence of defined borders
The Cloud Security Spending Disconnect
Source: Credit Suisse Cybersecurity Report, September 2017
VCP 3
18. 17
Outsourcing to Reduce Operation/Support Costs In Order to Improve
Operating Efficiencies (Qualys Numbers Below)
Average Spending of Large Customers ($500k+ Revenue) Qualys SG&A Margin
Revenue per Sales and Marketing Headcount % of Support, Operations, and R&D headcount in India
$17m
$25m
$35m
$54m
19
27
38
51
0
10
20
30
40
50
60
$0m
$10m
$20m
$30m
$40m
$50m
$60m
2014 2015 2016 2017
CustomerCountwithgreaterthan
$500Kinannualrevenue
CumulativeRevenue
Cumulative Revenue Customer Count
Largest customers
spend an average of
LTM ~$1M+ with Qualys
$0.9m
$1.0m
$1.1m
$1.2m
$0.0m
$0.2m
$0.4m
$0.6m
$0.8m
$1.0m
$1.2m
$1.4m
2014 2015 2016 2017
28%
36%
46%
58%
0%
10%
20%
30%
40%
50%
60%
70%
2014 2015 2016 2017
Source: Qualys Investor Presentation February 2018; Capital IQ
56.1%
56.9%
53.0%
54.5% 54.9%
51.7%
45.5%
44.1%
43.0%
40.0%
45.0%
50.0%
55.0%
60.0%
2009 2010 2011 2012 2013 2014 2015 2016 2017
SG&A margin
has drastically
come declined
primarily due to
outsourcing
activities
Continuous increase in
outsourcing to India
Decline in employees cost has resulted in
improvement in operating efficiencies
VCP 4
19. 18
Private Equity Roll-Up Strategy to Facilitate a Smooth and Incremental
Transition to Exit
Portfolio
Company
Bolt On
1
Bolt On
2
Bolt On
3
Multicompanymerger
Post Merger Integration: Group Company With Combined
Complementary Capabilities Into a Full-Service Business
Pre Roll-Up Strategy: Scout for Potential Add-Ons
to Improve Synergies and Enhance Scalability
Post Roll-Up and Exit Planning – Increasing Scale
Generally Enhances the Options Available for Exit
Rolling-Up Options:
• Rolling up across geographies for an expanded
footprint
• Rolling up solutions - taking portfolio company
from a one-solution company to a multi-solution
company
Most Successful Roll-ups Target Large, Yet Highly Fragmented Industries With No Real Dominant Players
Rolling-Up Advantages:
• Enhanced value through cost synergies / economies of
scale
• Valuation multiple arbitrage
• Improved exit options
• Global reach and scalability
• Integrated platform with broader suite of services offer
cross-selling opportunities, smarter solutions, more
expertise and expanded reach to innovate and meet
customers, and a centralized brand
• Roll-up strategy in SaaS is by acquiring and combining a
number of vendors in a space to create a best-of-breed
provider
• These combined entities would then be primed for IPO or a
later sale, deriving cost synergies by reducing duplicative
expenses among the multiple organizations, while still
investing in growth
• Roll-ups are a part of the consolidation process that usually
occurs as new market sectors mature
VCP 5
20. 19
• This document has been compiled by Maple Growth Partners (MGP) from sources believed to be reliable, but
no representation or warranty, express or implied, is made by MGP, its affiliates or any other person as to its
accuracy, completeness or correctness. Such information may be incomplete or condensed and/or may not
have been independently validated by MGP. MGP expressly disclaims liability for any direct or consequential
loss arising from any use or reliance upon this material or the information contained herein.
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