The document provides an overview of the GoodData analytics platform. It discusses how the platform aims to democratize analytics and empower more business users, beyond just analysts. The platform is designed to distribute analytics to business networks to drive revenue, efficiency and other benefits. It achieves this through its distribution, analytics and insights services which allow customers to define, distribute and improve analytic products for their networks.
(BDT206) How to Accelerate Your Projects with AWS MarketplaceAmazon Web Services
Learn how Boeing used services from AWS and software from the AWS Marketplace to accelerate the development and launch of analysis software. This session takes you through the end-to-end process of setting up an Amazon Redshift data warehouse, combined with key software from the AWS Marketplace, to help the creation of an analysis tool. This session is ideal for data scientists, technically-inclined business execs, or IT professionals looking to transform their data into new insights.
(BDT206) How to Accelerate Your Projects with AWS MarketplaceAmazon Web Services
Learn how Boeing used services from AWS and software from the AWS Marketplace to accelerate the development and launch of analysis software. This session takes you through the end-to-end process of setting up an Amazon Redshift data warehouse, combined with key software from the AWS Marketplace, to help the creation of an analysis tool. This session is ideal for data scientists, technically-inclined business execs, or IT professionals looking to transform their data into new insights.
Slide deck of my DyanmicsPower! Brussels session.
Session description:
AI Builder is here!
The Citizen Developer style tool to easily add Artificial Intelligence to your PowerApps and Flows.
In this session we will take a deep dive into this great new tool in the Power Platform stack. How to build your own models and how to embed them in your apps and flows.
We will look at the what is possible, but also what are the limits and boundaries you need to take in consideration.
We will cover best practices and tips and tricks.
In a nutshell: everything you need to know to get started yourself.
Exove Extends keynote on Dec 13th, 2017
Developing truly personalised experiences by Simon Chapman from Acquia
Acquia powers some of the world’s biggest and most well-known websites, delivering personalised content whatever the channel, location or device. We’ll take a deep dive into the technologies and components of the Acquia platform and explore traditional development methods versus headless or decoupled architectures. We’ll outline the benefits of using modern JS frameworks whilst delivering personalised experiences that capture your customers ‘in the moment’, which ultimately can be measured through analytics...and as your customer data grows, we’ll talk about how this ‘big data’ can be used to drive reporting, customer journeys and the ‘next best action’.
Grant Allen, CTO Chief Product Officer at Dow Jones explains how to deploy Flowable at scale in AWS.
It was presented at the Flowfest 2018 in Barcelona, Spain
Discover how AWS and APN Partner tools can help simplify your migration readiness and planning. Hear how customers have leveraged the AWS discovery and migration services to rapidly move workloads to improve resilience, reduce risk and accelerate their global footprint, and find ways these tools can be used for quick, effective decision making and planning in critical situations.
Speakers: Neal Ardeljan, Area Specialty Practice Lead - Migrations, Professional Services, AWS & Girish Nesaratnam, Practice Manager, Professional Services, AWS
View this talk here: https://www.confluent.io/online-talks/connecting-apache-kafka-to-cash-lyndon-hedderly
Real-time data has value. But how do you quantify that value in order to create a business case for becoming data, or event driven? This talk explores why valuing Kafka is important - but covers some of the problems in quantifying the value of a data infrastructure platform.
Despite the challenges, we will explore some examples of where we have attributed a quantified monetary amount to Kafka across specific business use cases, within Retail, Banking and Automotive.
Whether organizations are using data to create new business products and services, improving user experiences, increasing productivity, or managing risk, we’ll see that fast and interconnected data, or ‘event streaming’ is increasingly important. We will conclude with the five steps to creating a business case around Kafka use cases.
Getting Started with AWS Marketplace: A Technical IntroductionAmazon Web Services
Learn how to leverage AWS Marketplace for your business workloads. In this technical overview, we'll cover how install and use business intelligence (BI) solutions using your Amazon Redshift data warehouse, as well as how to deploy big IP and web application firewall (WAF) products to secure your environment. Pick up your badge and discover how AWS Marketplace can help you accelerate your workloads on AWS.
Webinar with iBiz Solutions & MicrosoftAdam Wahlund
This webinar focuses on Microsoft's vision and roadmap for the modern integration platform and iBiz Solutions' views on how to utilize cloud and hybrid solutions to enable technical as well as business innovation. No matter what business you are in, integration can and should be an important part of your future strategy. We hope to inspire you to start working towards this.
During the event we will discuss BizTalk 2016 which will be released in General Availability in Q4 as well as Azure App Service & API Management. We will also present a really interesting case where iBiz Solutions has built a 100% cloud based integration platform for Akelius Residential Properties.
Once upon a time… integration was all about ESB’s, EAI and B2B. Today, many companies wish to integrate beyond firewalls, and typically with SaaS. Hence the uprise of API based integration, using lightweight protocols. The evolution is a fact; so now what is the current state of the Azure Integration Platform?
Glenn dives into its architecture and explains Logic Apps and the Enterprise Integration Pack. Learn to create basic IFTTT (If This Then That) scenarios, or why not: think bigger and create enterprise-level, hybrid integration scenarios using Logic Apps and on premises LOB apps. 'How does it work', 'How is it Made' and 'How does it all fit together’? Just a couple of questions you will find the answer to.
Change a gear up with Evolutionary ArchitectureLuca Grulla
In the fast-moving world of technology startups, change is the only constant. As engineers and technologists, we should embed change in our thinking. By making change a first-class citizenship in our engineering philosophy, via an Agile mindset paired with evolutionary architecture, the Signal AI Technology Team can act as a catalyst for product innovation and business opportunities.
Getting Started on Your AWS Migration Journey - AWS Summit Sydney 2018Amazon Web Services
Getting Started on Your AWS Migration Journey: Tools & Processes to Help You Make Decisions at Speed
In this session discover how AWS and APN Partner tools can help simplify your migration readiness and planning. Hear how customers have leveraged the AWS discovery and migration services to rapidly move workloads to improve resilience, reduce risk and accelerate their global footprint, and how these tools can be used for quick, effective decision making and planning in critical situations.
Neal Ardeljan, IT Transformation Consultant, Amazon Web Services and Girish Nesaratnam, Migration Success Consultant, Amazon Web Services
This session provides an overview of how organizations can migrate workloads to the AWS cloud at scale. We will go through available migration frameworks and best practices with common use case examples during this session. After migrating the initial workloads, understand how to migrate at scale to the AWS cloud. Hear about real life experiences from the AWS Professional Services team and learn about common use case examples, frameworks, and best practices. Hear about what to avoid when migrating applications at scale to AWS and understand the tools and partner services that can assist you when migrating applications to AWS.
Industry-ready NLP Service Framework Based on Kafka (Bernhard Waltl and Georg...confluent
Natural Language Processing (NLP) focuses on the analysis and understanding of textual information either in written or spoken form. In recent years, NLP technologies has become business critical due to the overwhelming and ever-increasing amount of textual information to get customer or business process insights, but also to empower novel user experience by creating dialogue-based digital assistants understanding customer language. In our talk, we will explore how NLP use cases significantly benefit from stream processing and event driven architectures. We will present the NLP Service Framework representing a stream processing framework using Kafka in which NLP tasks run as microservices orchestrated in pipelines to perform complex end-to-end services. In the NLP Service Framework, Kafka is being used to orchestrate data flows containing of all kinds of textual information in different topics related to specific use cases. Different Kafka Streams based processors subsequently call NLP services to analyze and annotate the textural information within the data flows. Various applications like search-based application based upon Elasticsearch and Kibana or analytical databases eventually consumes the textual information that is augmented with annotations and inferred results of the NLP Services. Two important requirements of the NLP Service Framework are efficient communication between different services using REST interfaces and interoperability among services implemented in different languages such as Java or Python. We implement the gRPC framework and use ProtoBuff as data format to ensure both requirements. This Kafka-based architecture enables us to specify domain-specific but isolated end-to-end NLP services and guarantees highly scalable and robust handling of high volume of textual data from different BMW domains along the value chain, including customer, process, and vehicle data.
Using Kafka Streams to Analyze Live Trading Activity for Crypto Exchanges (Lu...confluent
Cryptocurrency exchanges like Coinbase, Binance, and Kraken enable investors to buy, sell and trade cryptocurrencies, including Bitcoin, Litecoin, Ethereum and many more. Depending on the exchange, trades can be made using fiat currencies (legal government tender like U.S. dollars or Euros) or other cryptocurrencies. Most exchanges also allow investors to purchase one type of cryptocurrency with another (for example, buy Bitcoin with Ethereum.) Given the high velocity and high volatility of cryptocurrency valuations, monitoring and analyzing trading activity and the performance of trading algorithms is daunting. Kafka Streams provides a perfect infrastructure to support visibility into the market and participant behavior with a very high degree of temporal accuracy, which is critical when trading such volatile instruments.
In particular, cryptocurrency traders need several ways to visualize trading activity and rebuild and view their order books at full depth. They need tools that can make large numbers of complex real-time calculations, including:
– Best bids and offers
– Cumulative sizes for bids and offers
– Spread to the median
– Deltas between price events
– Time-weighted averages
– Message rates (new, cancel, trade, replace)
– Cumulative trade flow
All calculations must be done for multiple pairs of fiat currencies and cryptocurrencies in real time throughout the trading day. Traders must have visibility into all aspects of every order through to execution. New tools leverage the power of Kafka Streams that enable traders themselves to build directed graphs on screen, without writing any code. A directed graphs control data flows, calculations, and statistical analysis of cryptocurrency trading data and can output it the screen for in depth monitoring and analysis of real time data as well as historical trading data stored in in-memory time series databases. This paper describes practical approaches to building and deploying Kafka Streams to support cryptocurrency trading.
The Cloud - More Than Just Vapour for Your Magnolia Instance Magnolia
Creative marketing agencies work in fast-paced, trend-driven and highly competitive environments. With project life-cycles of typically less than two months, tools that are easy to use and scale beyond expectations are absolutely essential.
Daniel Menges, ETECTURE@ogilvy and Jan Haderka, Magnolia explain how Magnolia (easy to use and customize) and Amazon Web Services (make solutions scalable in the cloud) fit the bill perfectly.
Data Analytics has become a powerful tool to drive corporates and businesses. check out this 6 Reasons to Use Data Analytics. Visit: https://www.raybiztech.com/blog/data-analytics/6-reasons-to-use-data-analytics
Give your customers what they want, with SaaS embedded analytics Powered by GoodData. Read this guide to learn why Zendesk says “Advanced analytics are the #1 reason why customers upgrade.” Get a better understanding of:
1. How embedded analytics can help you differentiate in a crowded SaaS market
2. Why Forrester identifies the cloud and analytics as two key drivers of future business applications innovation
3. How you can practice agile revenue development, monetizing the data you already have within your core application
4. The unique benefits of becoming a Powered by GoodData embedded analytics partner
5. How GoodData is driving revenue, retention and relationships for software vendors across operations, martech, health, travel and other sectors
Slide deck of my DyanmicsPower! Brussels session.
Session description:
AI Builder is here!
The Citizen Developer style tool to easily add Artificial Intelligence to your PowerApps and Flows.
In this session we will take a deep dive into this great new tool in the Power Platform stack. How to build your own models and how to embed them in your apps and flows.
We will look at the what is possible, but also what are the limits and boundaries you need to take in consideration.
We will cover best practices and tips and tricks.
In a nutshell: everything you need to know to get started yourself.
Exove Extends keynote on Dec 13th, 2017
Developing truly personalised experiences by Simon Chapman from Acquia
Acquia powers some of the world’s biggest and most well-known websites, delivering personalised content whatever the channel, location or device. We’ll take a deep dive into the technologies and components of the Acquia platform and explore traditional development methods versus headless or decoupled architectures. We’ll outline the benefits of using modern JS frameworks whilst delivering personalised experiences that capture your customers ‘in the moment’, which ultimately can be measured through analytics...and as your customer data grows, we’ll talk about how this ‘big data’ can be used to drive reporting, customer journeys and the ‘next best action’.
Grant Allen, CTO Chief Product Officer at Dow Jones explains how to deploy Flowable at scale in AWS.
It was presented at the Flowfest 2018 in Barcelona, Spain
Discover how AWS and APN Partner tools can help simplify your migration readiness and planning. Hear how customers have leveraged the AWS discovery and migration services to rapidly move workloads to improve resilience, reduce risk and accelerate their global footprint, and find ways these tools can be used for quick, effective decision making and planning in critical situations.
Speakers: Neal Ardeljan, Area Specialty Practice Lead - Migrations, Professional Services, AWS & Girish Nesaratnam, Practice Manager, Professional Services, AWS
View this talk here: https://www.confluent.io/online-talks/connecting-apache-kafka-to-cash-lyndon-hedderly
Real-time data has value. But how do you quantify that value in order to create a business case for becoming data, or event driven? This talk explores why valuing Kafka is important - but covers some of the problems in quantifying the value of a data infrastructure platform.
Despite the challenges, we will explore some examples of where we have attributed a quantified monetary amount to Kafka across specific business use cases, within Retail, Banking and Automotive.
Whether organizations are using data to create new business products and services, improving user experiences, increasing productivity, or managing risk, we’ll see that fast and interconnected data, or ‘event streaming’ is increasingly important. We will conclude with the five steps to creating a business case around Kafka use cases.
Getting Started with AWS Marketplace: A Technical IntroductionAmazon Web Services
Learn how to leverage AWS Marketplace for your business workloads. In this technical overview, we'll cover how install and use business intelligence (BI) solutions using your Amazon Redshift data warehouse, as well as how to deploy big IP and web application firewall (WAF) products to secure your environment. Pick up your badge and discover how AWS Marketplace can help you accelerate your workloads on AWS.
Webinar with iBiz Solutions & MicrosoftAdam Wahlund
This webinar focuses on Microsoft's vision and roadmap for the modern integration platform and iBiz Solutions' views on how to utilize cloud and hybrid solutions to enable technical as well as business innovation. No matter what business you are in, integration can and should be an important part of your future strategy. We hope to inspire you to start working towards this.
During the event we will discuss BizTalk 2016 which will be released in General Availability in Q4 as well as Azure App Service & API Management. We will also present a really interesting case where iBiz Solutions has built a 100% cloud based integration platform for Akelius Residential Properties.
Once upon a time… integration was all about ESB’s, EAI and B2B. Today, many companies wish to integrate beyond firewalls, and typically with SaaS. Hence the uprise of API based integration, using lightweight protocols. The evolution is a fact; so now what is the current state of the Azure Integration Platform?
Glenn dives into its architecture and explains Logic Apps and the Enterprise Integration Pack. Learn to create basic IFTTT (If This Then That) scenarios, or why not: think bigger and create enterprise-level, hybrid integration scenarios using Logic Apps and on premises LOB apps. 'How does it work', 'How is it Made' and 'How does it all fit together’? Just a couple of questions you will find the answer to.
Change a gear up with Evolutionary ArchitectureLuca Grulla
In the fast-moving world of technology startups, change is the only constant. As engineers and technologists, we should embed change in our thinking. By making change a first-class citizenship in our engineering philosophy, via an Agile mindset paired with evolutionary architecture, the Signal AI Technology Team can act as a catalyst for product innovation and business opportunities.
Getting Started on Your AWS Migration Journey - AWS Summit Sydney 2018Amazon Web Services
Getting Started on Your AWS Migration Journey: Tools & Processes to Help You Make Decisions at Speed
In this session discover how AWS and APN Partner tools can help simplify your migration readiness and planning. Hear how customers have leveraged the AWS discovery and migration services to rapidly move workloads to improve resilience, reduce risk and accelerate their global footprint, and how these tools can be used for quick, effective decision making and planning in critical situations.
Neal Ardeljan, IT Transformation Consultant, Amazon Web Services and Girish Nesaratnam, Migration Success Consultant, Amazon Web Services
This session provides an overview of how organizations can migrate workloads to the AWS cloud at scale. We will go through available migration frameworks and best practices with common use case examples during this session. After migrating the initial workloads, understand how to migrate at scale to the AWS cloud. Hear about real life experiences from the AWS Professional Services team and learn about common use case examples, frameworks, and best practices. Hear about what to avoid when migrating applications at scale to AWS and understand the tools and partner services that can assist you when migrating applications to AWS.
Industry-ready NLP Service Framework Based on Kafka (Bernhard Waltl and Georg...confluent
Natural Language Processing (NLP) focuses on the analysis and understanding of textual information either in written or spoken form. In recent years, NLP technologies has become business critical due to the overwhelming and ever-increasing amount of textual information to get customer or business process insights, but also to empower novel user experience by creating dialogue-based digital assistants understanding customer language. In our talk, we will explore how NLP use cases significantly benefit from stream processing and event driven architectures. We will present the NLP Service Framework representing a stream processing framework using Kafka in which NLP tasks run as microservices orchestrated in pipelines to perform complex end-to-end services. In the NLP Service Framework, Kafka is being used to orchestrate data flows containing of all kinds of textual information in different topics related to specific use cases. Different Kafka Streams based processors subsequently call NLP services to analyze and annotate the textural information within the data flows. Various applications like search-based application based upon Elasticsearch and Kibana or analytical databases eventually consumes the textual information that is augmented with annotations and inferred results of the NLP Services. Two important requirements of the NLP Service Framework are efficient communication between different services using REST interfaces and interoperability among services implemented in different languages such as Java or Python. We implement the gRPC framework and use ProtoBuff as data format to ensure both requirements. This Kafka-based architecture enables us to specify domain-specific but isolated end-to-end NLP services and guarantees highly scalable and robust handling of high volume of textual data from different BMW domains along the value chain, including customer, process, and vehicle data.
Using Kafka Streams to Analyze Live Trading Activity for Crypto Exchanges (Lu...confluent
Cryptocurrency exchanges like Coinbase, Binance, and Kraken enable investors to buy, sell and trade cryptocurrencies, including Bitcoin, Litecoin, Ethereum and many more. Depending on the exchange, trades can be made using fiat currencies (legal government tender like U.S. dollars or Euros) or other cryptocurrencies. Most exchanges also allow investors to purchase one type of cryptocurrency with another (for example, buy Bitcoin with Ethereum.) Given the high velocity and high volatility of cryptocurrency valuations, monitoring and analyzing trading activity and the performance of trading algorithms is daunting. Kafka Streams provides a perfect infrastructure to support visibility into the market and participant behavior with a very high degree of temporal accuracy, which is critical when trading such volatile instruments.
In particular, cryptocurrency traders need several ways to visualize trading activity and rebuild and view their order books at full depth. They need tools that can make large numbers of complex real-time calculations, including:
– Best bids and offers
– Cumulative sizes for bids and offers
– Spread to the median
– Deltas between price events
– Time-weighted averages
– Message rates (new, cancel, trade, replace)
– Cumulative trade flow
All calculations must be done for multiple pairs of fiat currencies and cryptocurrencies in real time throughout the trading day. Traders must have visibility into all aspects of every order through to execution. New tools leverage the power of Kafka Streams that enable traders themselves to build directed graphs on screen, without writing any code. A directed graphs control data flows, calculations, and statistical analysis of cryptocurrency trading data and can output it the screen for in depth monitoring and analysis of real time data as well as historical trading data stored in in-memory time series databases. This paper describes practical approaches to building and deploying Kafka Streams to support cryptocurrency trading.
The Cloud - More Than Just Vapour for Your Magnolia Instance Magnolia
Creative marketing agencies work in fast-paced, trend-driven and highly competitive environments. With project life-cycles of typically less than two months, tools that are easy to use and scale beyond expectations are absolutely essential.
Daniel Menges, ETECTURE@ogilvy and Jan Haderka, Magnolia explain how Magnolia (easy to use and customize) and Amazon Web Services (make solutions scalable in the cloud) fit the bill perfectly.
Data Analytics has become a powerful tool to drive corporates and businesses. check out this 6 Reasons to Use Data Analytics. Visit: https://www.raybiztech.com/blog/data-analytics/6-reasons-to-use-data-analytics
Give your customers what they want, with SaaS embedded analytics Powered by GoodData. Read this guide to learn why Zendesk says “Advanced analytics are the #1 reason why customers upgrade.” Get a better understanding of:
1. How embedded analytics can help you differentiate in a crowded SaaS market
2. Why Forrester identifies the cloud and analytics as two key drivers of future business applications innovation
3. How you can practice agile revenue development, monetizing the data you already have within your core application
4. The unique benefits of becoming a Powered by GoodData embedded analytics partner
5. How GoodData is driving revenue, retention and relationships for software vendors across operations, martech, health, travel and other sectors
How to choose the right modern bi and analytics tool for your business_.pdfAnil
We highlight Top 5 Business Intelligence Tools as suggested by Gartner and ask critical questions that can help organizations make better and informed decisions.
Using Data Mining Technique, Loginworks is offering the web data mining solutions. One of the leading Data mining companies delivering data mining services.
https://www.loginworks.com/blogs/data-mining-services-various-types/
Booz Allen Hamilton uses its Cloud Analytics Reference Architecture to build technology infrastructures that can withstand the weight of massive datasets – and deliver the deep insights organizations need to drive innovation.
Top 20 Best Business Intelligence Tools | CIO Women MagazineCIOWomenMagazine
Here are the top 20 Business Intelligence Tools: 1. Micro Strategic Planning, 2. IBM Cognos Analytics (in a nutshell), 3. Tableau, 4. Oracle Business Intelligence Tools, 5. Board, etc.
Watch here: https://bit.ly/2D1fqB6
Today’s evolving data landscape has spawned new business challenges that require innovative solutions. These challenges include:
- Strategic decision-making, which relies on multiple perspectives such as social and economic factors that require combining internal and external data.
- Accounting for the increased volume and structural complexity of today’s data, and increased frequency required in delivering data assets.
- Coping with data silos that house data that must be combined and provisioned to support decision-making.
- Exposing purpose-built analytics, such as supply chain, for consumption in order to expedite decision-making.
Attend this session to learn how Data as a Service, fueled by data virtualization, overcomes these common challenges from the three dimensions of:
- Provisioning information-rich external data assets,
- Connecting data silos, and
- Enabling pre-built and packaged analytics.
Business intelligence (BI) services provide companies with the tools and expertise they need to collect and analyze data, turning it into actionable insights that can drive better decision-making. Tarams’ team of experts works closely with clients to understand their specific needs and develop tailored solutions that meet their unique requirements. With a commitment to excellence, Tarams is dedicated to delivering the highest quality Business Intelligence services to its clients.
Albiorix Technology brings the top 10 digital transformation trends to watch out for in 2023 that you can adopt to improve your business performance.
For More Information: https://www.albiorixtech.com/blog/digital-transformation-trends/
Visual Analytics combines human intuition and data science to derive knowledge from the data in a very efficient, effective and easy way. Visual Analytics empowers your people to interact with the data and generate new insights.
Calculating the ROI on investing in data products?
Analytics return $13.01 for every dollar spent, according to Nucleus Research. That’s a 13:1 ROI for you, and for your customers when you offer embedded analytics in your SaaS solution. Check out this guide to learn more about the benefits of buying vs. building, and how GoodData customers like Influitive and Demandbase are achieving upwards of 650% ROI.
How To Pick The Best Analytics Tools: Product Analytics Landscape
Here, we’ll talk about assessment criteria, key features, and greater for deciding on systems and gear that match your enterprise app development desires.
Choosing the right solution for your data
Because massive facts apply to the sort of huge spectrum of use app development instances, packages, and industries, it’s difficult to nail down a definitive listing of choice criteria.
Types of data analytics tools & key features
What is the gear used for massive facts analytics? Data analytics tools gear constitute a huge category, though they have a tendency to fall into some key groups.
Customer data platforms
Customer data platforms like customer relationship management platforms (CRM) seize purchaser facts that may be used to enhance strategies or promote products. However, CDPs take matters to the following level.
Core capabilities:
• 360-diploma view of the purchaser.
• Connect more than one fact source.
• Unifies purchaser facts throughout all linked structures.
• Improve concentrated on for advertising campaigns.
Business intelligence (BI) tools
Today’s business intelligence (BI) assists companies to see iOS app development and apprehend facts. According to gartner, BI gear span 3 major categories. Online analytical processing, or OLAP, permits fact discovery, ad-hoc reporting, simulation fashions, overall performance control, and different complicated evaluation abilities. There’s additionally statistics transport–which serves up insights within the shape of visualizations, reports, and dashboards. And finally, BI integration–which offers metadata control and imparting app developers surroundings to assist your method.
Core capabilities:
• Data visualization.
• Predictive modeling.
• Data mining.
• Forecasting.
Customer analytics tools
Customer analytics is designed to control the overall analytics technique from guidance to perception generation. In maximum instances, purchaser analytics systems include web development pre-built facts fashions for forecasting, propensity to buy, and numerous statistical evaluation strategies to apprehend purchaser conduct and optimize products, offerings, and reports.
Core capabilities:
• Granular segmentation.
• Customer satisfaction Insights.
• Statistical modeling.
• Acquisition, retention, & churn metrics.
Digital experience platforms
Digital experience platforms is a new kind of enterprise-grade software development designed to optimize the purchaser revel in at each touchpoint. While DXPs overlap with purchasers revel in control systems, DXPs cognizance greater on streamlining strategies, coordinating and personalizing content material to customers throughout an extensive variety of channels which include the Internet of Things (IoT), virtual assistants, VR reports, and greater.
Core capabilities:
• API-first structure.
• Multi-touchpoint control.
• Dynamic templates for automating personalization.
• Content control and transport.
8 Steps to BI Success - Choosing The Ideal Business Intelligence SolutionChristian Ofori-Boateng
No pressure - but the BI solution you invest in today has far-reaching implications for your organization's success tomorrow.
- With dozens of Business Intelligence solutions available, what are the 'must-haves' in BI tools?
- What features will bring you the quickest time to value plus meet the flexibility and budgetary needs for your organization?
- How will this satisfy your Business Intelligence needs?
- Where does this fit into your Business Intelligence Strategy and Roadmap?
Strap on those crampons as we scale those eight essential steps to take in making your big decision - let's get your company equipped for the future, and performing at its peak!