Data as a Service (DaaS) is one of the most ambiguous offerings in the "as a service" family. Yet, in today's world, data and analytics are key to building a competitive advantage. We're clearing up the confusion around DaaS and helping your company understand when and how to tap into this service.
Microsoft Azure is an ever-expanding set of cloud services to help your organization meet your business challenges. It’s the freedom to build, manage, and deploy applications on a massive, global network using your favorite tools and frameworks.
Productive
Reduce time to market, by delivering features faster with over 100 end-to-end services.
Hybrid
Develop and deploy where you want, with the only consistent hybrid cloud on the market. Extend Azure on-premises with Azure Stack.
Intelligent
Create intelligent apps using powerful data and artificial intelligence services.
Trusted
Join startups, governments, and 90 percent of Fortune 500 businesses who run on the Microsoft Cloud today.
Azure was announced in October 2008 and released on 1 February 2010 as Windows Azure, before being renamed to Microsoft Azure on 25 March 2014. Along with Amazon Web Services Azure is considered a leader in the IAAS field.
Microsoft Azure is an open and flexible cloud platform that enables you to quickly build, deploy, and manage applications across a global network of Microsoft-managed datacenters. You can build applications using any language, tool, or framework. And you can integrate your public cloud applications with your existing IT environment.
This definition tells us that Microsoft Azure is a cloud platform, which means you can use it for running your business applications, services, and workloads in the cloud. But it also includes some key words that tell us even more:
Open Microsoft Azure provides a set of cloud services that allow you to build and deploy cloud-based applications using almost any programming language, framework, or tool.
Flexible Microsoft Azure provides a wide range of cloud services that can let you do everything from hosting your company’s website to running big SQL databases in the cloud. It also includes different features that can help deliver high performance and low latency for cloud-based applications.
Microsoft-managed Microsoft Azure services are currently hosted in several datacenters spread across the United States, Europe, and Asia. These datacenters are managed by Microsoft and provide expert global support on a 24x7x365 basis.
Compatible Cloud applications running on Microsoft Azure can easily be integrated with on-premises IT environments that utilize the Microsoft Windows Server platform.
It provides both PAAS and IAAS services and supports many different programming languages, tools and frameworks, including both Microsoft-specific and third-party software and systems.
ENT211_How to Assess Your Organization’s Readiness to Migrate at Scale to AWSAmazon Web Services
Migrating to the cloud provides an opportunity to reinvent your organization's operations and the management of your IT landscape. In this session, we discuss how to evaluate your organizational readiness for the cloud and how to develop foundational capabilities before the migration. We also review key considerations developed by AWS Professional Services to help organizations prepare for a migration at scale through the Migration Readiness Assessment (MRA) and Migration Readiness and Planning (MRP) programs.
The pathway to the cloud has many different options and levers that customers can pull. This webinar walks customers through actual steps from creating a cloud adoption vision to actually building a migration roadmap with actionable guidance. We’ll go through proven migration patterns, methods and tooling that AWS has leveraged successfully with hundreds of Enterprise customers around the globe. Learn what challenges customers face when planning the migrations to cloud, and how they overcome them to minimize risk and accelerate the adoption.
This presentation provides an introduction to the area of cloud computing. The presentation discusses the evolution of Cloud Computing, along with its benefits, and how B2B integration benefits from being deployed across a cloud environment. Updated May 2014
Microsoft Azure is an ever-expanding set of cloud services to help your organization meet your business challenges. It’s the freedom to build, manage, and deploy applications on a massive, global network using your favorite tools and frameworks.
Productive
Reduce time to market, by delivering features faster with over 100 end-to-end services.
Hybrid
Develop and deploy where you want, with the only consistent hybrid cloud on the market. Extend Azure on-premises with Azure Stack.
Intelligent
Create intelligent apps using powerful data and artificial intelligence services.
Trusted
Join startups, governments, and 90 percent of Fortune 500 businesses who run on the Microsoft Cloud today.
Azure was announced in October 2008 and released on 1 February 2010 as Windows Azure, before being renamed to Microsoft Azure on 25 March 2014. Along with Amazon Web Services Azure is considered a leader in the IAAS field.
Microsoft Azure is an open and flexible cloud platform that enables you to quickly build, deploy, and manage applications across a global network of Microsoft-managed datacenters. You can build applications using any language, tool, or framework. And you can integrate your public cloud applications with your existing IT environment.
This definition tells us that Microsoft Azure is a cloud platform, which means you can use it for running your business applications, services, and workloads in the cloud. But it also includes some key words that tell us even more:
Open Microsoft Azure provides a set of cloud services that allow you to build and deploy cloud-based applications using almost any programming language, framework, or tool.
Flexible Microsoft Azure provides a wide range of cloud services that can let you do everything from hosting your company’s website to running big SQL databases in the cloud. It also includes different features that can help deliver high performance and low latency for cloud-based applications.
Microsoft-managed Microsoft Azure services are currently hosted in several datacenters spread across the United States, Europe, and Asia. These datacenters are managed by Microsoft and provide expert global support on a 24x7x365 basis.
Compatible Cloud applications running on Microsoft Azure can easily be integrated with on-premises IT environments that utilize the Microsoft Windows Server platform.
It provides both PAAS and IAAS services and supports many different programming languages, tools and frameworks, including both Microsoft-specific and third-party software and systems.
ENT211_How to Assess Your Organization’s Readiness to Migrate at Scale to AWSAmazon Web Services
Migrating to the cloud provides an opportunity to reinvent your organization's operations and the management of your IT landscape. In this session, we discuss how to evaluate your organizational readiness for the cloud and how to develop foundational capabilities before the migration. We also review key considerations developed by AWS Professional Services to help organizations prepare for a migration at scale through the Migration Readiness Assessment (MRA) and Migration Readiness and Planning (MRP) programs.
The pathway to the cloud has many different options and levers that customers can pull. This webinar walks customers through actual steps from creating a cloud adoption vision to actually building a migration roadmap with actionable guidance. We’ll go through proven migration patterns, methods and tooling that AWS has leveraged successfully with hundreds of Enterprise customers around the globe. Learn what challenges customers face when planning the migrations to cloud, and how they overcome them to minimize risk and accelerate the adoption.
This presentation provides an introduction to the area of cloud computing. The presentation discusses the evolution of Cloud Computing, along with its benefits, and how B2B integration benefits from being deployed across a cloud environment. Updated May 2014
Microsoft Azure is the only hybrid cloud to help you migrate your apps, data, and infrastructure with cost-effective and flexible paths. At this event you’ll learn how thousands of customers have migrated to Azure, at their own pace and with high confidence by using a reliable methodology, flexible and powerful tools, and proven partner expertise. Come to this event to learn how Azure can help you save—before, during, and after migration, and how it offers unmatched value during every stage of your cloud migration journey. Learn about assessments, migration offers, and cost management tools to help you migrate with confidence.
Learn more about the basics of hybrid cloud with VMware Cloud on AWS. Links in slides: http://cloud.vmware.com/govcloud/roadmap
https://cloud.vmware.com/vmc-aws/roadmap
Context is a “Born in the CLOUD” multi services company providing services to help Small-Medium Enterprises grow faster by modernizing data centers and Applications involving adoption of Social, Mobile, Analytics and Cloud technologies as Business Accelerators.
The migration of legacy applications and databases to the cloud is always a challenging activity. However, with the right strategy and meticulous execution, workload migration can be made seamless.
At CCS Technologies, we manage all technical, service, and commercial aspects of migrating your legacy systems to the cloud. Our team of experts offers guidance on suitable migration strategies for moving data and applications from on-premise to the cloud, or for moving from one cloud service provider to another. We take care of every aspect of migration and leave you with a hassle-free optimized setup on the cloud with zero downtime.
Know more: https://ccs-technologies.com/infra-cloud-services/#ics_cs
Describes what Enterprise Data Architecture in a Software Development Organization should cover and does that by listing over 200 data architecture related deliverables an Enterprise Data Architect should remember to evangelize.
You had a strategy. You were executing it. You were then side-swiped by COVID, spending countless cycles blocking and tackling. It is now time to step back onto your path.
CCG is holding a workshop to help you update your roadmap and get your team back on track and review how Microsoft Azure Solutions can be leveraged to build a strong foundation for governed data insights.
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...DATAVERSITY
Change is hard, especially in response to negative stimuli or what is perceived as negative stimuli. So organizations need to reframe how they think about data privacy, security and governance, treating them as value centers to 1) ensure enterprise data can flow where it needs to, 2) prevent – not just react – to internal and external threats, and 3) comply with data privacy and security regulations.
Working together, these roles can accelerate faster access to approved, relevant and higher quality data – and that means more successful use cases, faster speed to insights, and better business outcomes. However, both new information and tools are required to make the shift from defense to offense, reducing data drama while increasing its value.
Join us for this panel discussion with experts in these fields as they discuss:
- Recent research about where data privacy, security and governance stand
- The most valuable enterprise data use cases
- The common obstacles to data value creation
- New approaches to data privacy, security and governance
- Their advice on how to shift from a reactive to resilient mindset/culture/organization
You’ll be educated, entertained and inspired by this panel and their expertise in using the data trifecta to innovate more often, operate more efficiently, and differentiate more strategically.
Cloud Migration Cookbook: A Guide To Moving Your Apps To The CloudNew Relic
The process of building new apps or migrating existing apps to a cloud-based platform is complex. There are hundreds of paths you can take and only a few will make sense for you and your business. Get a step-by-step guide on how to plan for a successful app migration.
Software as a Service (SaaS), on demand software, is a software delivery model in which software and its associated data are hosted centrally and accessed using a thin-client, usually a web browser over the internet.
Enterprise Digital Transformation Powerpoint Presentation SlidesSlideTeam
"You can download this product from SlideTeam.net"
Presenting this set of slides with name Enterprise Digital Transformation Powerpoint Presentation Slides. Enhance your audiences knowledge with this well researched complete deck. Showcase all the important features of the deck with perfect visuals. This deck comprises of a total of twenty-five slides with each slide explained in detail. Each template comprises of professional diagrams and layouts. Yes, these PPT slides are completely customizable. Edit the color, text, and font size. Add or delete the content from the slide. Users can easily download the presentation slides in the widescreen and standard format. These templates are compatible with Google Slides too. The user can use the PowerPoint presentation in PDF or JPG format. https://bit.ly/33KF6jk
Digital Transformation Strategy & Framework | By ex-McKinseyAurelien Domont, MBA
Go to www.slidebooks.com to Download and Reuse Now a Digital Transformation Strategy & Framework in Powerpoint | Created By ex-McKinsey & Deloitte Strategy Consultants.
Cloud Migration: Moving Data and Infrastructure to the CloudSafe Software
The movement to the cloud is accelerating across industries. This is driven by the maturing of cloud technology, and by the sudden shift to a more distributed and remote workforce.
The cloud has many strengths from no longer having to purchase and manage infrastructure to its ability to grow seamlessly and to scale up and down to meet demands.
With all these benefits, many organizations are preparing cloud migration strategies (such as on-premise to the cloud) and are finding themselves overwhelmed by the process.
There are many things to consider when planning a cloud migration but the process does not have to be complicated or costly due to private services. Join this webinar to learn how you get started with your cloud migration today!
Migrating your business applications from your on-site or co-located datacenters to the AWS Cloud takes some planning, and a phased approach. This webinar looks at migration patterns from an architectural perspective and what tools and techniques are available to you.
Reasons to attend:
- Learn about planning your cloud migration strategy.
- This webinar will help you select the workloads that can easily be moved to the cloud.
- Evaluate the conditions and metrics required for a successful and cost effective migration.
How to Build the Data Mesh Foundation: A Principled Approach | Zhamak Dehghan...HostedbyConfluent
Organizations have been chasing the dream of data democratization, unlocking and accessing data at scale to serve their customers and business, for over a half a century from early days of data warehousing. They have been trying to reach this dream through multiple generations of architectures, such as data warehouse and data lake, through a cambrian explosion of tools and a large amount of investments to build their next data platform. Despite the intention and the investments the results have been middling.
In this keynote, Zhamak shares her observations on the failure modes of a centralized paradigm of a data lake, and its predecessor data warehouse.
She introduces Data Mesh, a paradigm shift in big data management that draws from modern distributed architecture: considering domains as the first class concern, applying self-sovereignty to distribute the ownership of data, applying platform thinking to create self-serve data infrastructure, and treating data as a product.
This talk introduces the principles underpinning data mesh and Zhamak's recent learnings in creating a path to bring data mesh to life in your organization.
Microsoft Azure is the only hybrid cloud to help you migrate your apps, data, and infrastructure with cost-effective and flexible paths. At this event you’ll learn how thousands of customers have migrated to Azure, at their own pace and with high confidence by using a reliable methodology, flexible and powerful tools, and proven partner expertise. Come to this event to learn how Azure can help you save—before, during, and after migration, and how it offers unmatched value during every stage of your cloud migration journey. Learn about assessments, migration offers, and cost management tools to help you migrate with confidence.
Learn more about the basics of hybrid cloud with VMware Cloud on AWS. Links in slides: http://cloud.vmware.com/govcloud/roadmap
https://cloud.vmware.com/vmc-aws/roadmap
Context is a “Born in the CLOUD” multi services company providing services to help Small-Medium Enterprises grow faster by modernizing data centers and Applications involving adoption of Social, Mobile, Analytics and Cloud technologies as Business Accelerators.
The migration of legacy applications and databases to the cloud is always a challenging activity. However, with the right strategy and meticulous execution, workload migration can be made seamless.
At CCS Technologies, we manage all technical, service, and commercial aspects of migrating your legacy systems to the cloud. Our team of experts offers guidance on suitable migration strategies for moving data and applications from on-premise to the cloud, or for moving from one cloud service provider to another. We take care of every aspect of migration and leave you with a hassle-free optimized setup on the cloud with zero downtime.
Know more: https://ccs-technologies.com/infra-cloud-services/#ics_cs
Describes what Enterprise Data Architecture in a Software Development Organization should cover and does that by listing over 200 data architecture related deliverables an Enterprise Data Architect should remember to evangelize.
You had a strategy. You were executing it. You were then side-swiped by COVID, spending countless cycles blocking and tackling. It is now time to step back onto your path.
CCG is holding a workshop to help you update your roadmap and get your team back on track and review how Microsoft Azure Solutions can be leveraged to build a strong foundation for governed data insights.
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...DATAVERSITY
Change is hard, especially in response to negative stimuli or what is perceived as negative stimuli. So organizations need to reframe how they think about data privacy, security and governance, treating them as value centers to 1) ensure enterprise data can flow where it needs to, 2) prevent – not just react – to internal and external threats, and 3) comply with data privacy and security regulations.
Working together, these roles can accelerate faster access to approved, relevant and higher quality data – and that means more successful use cases, faster speed to insights, and better business outcomes. However, both new information and tools are required to make the shift from defense to offense, reducing data drama while increasing its value.
Join us for this panel discussion with experts in these fields as they discuss:
- Recent research about where data privacy, security and governance stand
- The most valuable enterprise data use cases
- The common obstacles to data value creation
- New approaches to data privacy, security and governance
- Their advice on how to shift from a reactive to resilient mindset/culture/organization
You’ll be educated, entertained and inspired by this panel and their expertise in using the data trifecta to innovate more often, operate more efficiently, and differentiate more strategically.
Cloud Migration Cookbook: A Guide To Moving Your Apps To The CloudNew Relic
The process of building new apps or migrating existing apps to a cloud-based platform is complex. There are hundreds of paths you can take and only a few will make sense for you and your business. Get a step-by-step guide on how to plan for a successful app migration.
Software as a Service (SaaS), on demand software, is a software delivery model in which software and its associated data are hosted centrally and accessed using a thin-client, usually a web browser over the internet.
Enterprise Digital Transformation Powerpoint Presentation SlidesSlideTeam
"You can download this product from SlideTeam.net"
Presenting this set of slides with name Enterprise Digital Transformation Powerpoint Presentation Slides. Enhance your audiences knowledge with this well researched complete deck. Showcase all the important features of the deck with perfect visuals. This deck comprises of a total of twenty-five slides with each slide explained in detail. Each template comprises of professional diagrams and layouts. Yes, these PPT slides are completely customizable. Edit the color, text, and font size. Add or delete the content from the slide. Users can easily download the presentation slides in the widescreen and standard format. These templates are compatible with Google Slides too. The user can use the PowerPoint presentation in PDF or JPG format. https://bit.ly/33KF6jk
Digital Transformation Strategy & Framework | By ex-McKinseyAurelien Domont, MBA
Go to www.slidebooks.com to Download and Reuse Now a Digital Transformation Strategy & Framework in Powerpoint | Created By ex-McKinsey & Deloitte Strategy Consultants.
Cloud Migration: Moving Data and Infrastructure to the CloudSafe Software
The movement to the cloud is accelerating across industries. This is driven by the maturing of cloud technology, and by the sudden shift to a more distributed and remote workforce.
The cloud has many strengths from no longer having to purchase and manage infrastructure to its ability to grow seamlessly and to scale up and down to meet demands.
With all these benefits, many organizations are preparing cloud migration strategies (such as on-premise to the cloud) and are finding themselves overwhelmed by the process.
There are many things to consider when planning a cloud migration but the process does not have to be complicated or costly due to private services. Join this webinar to learn how you get started with your cloud migration today!
Migrating your business applications from your on-site or co-located datacenters to the AWS Cloud takes some planning, and a phased approach. This webinar looks at migration patterns from an architectural perspective and what tools and techniques are available to you.
Reasons to attend:
- Learn about planning your cloud migration strategy.
- This webinar will help you select the workloads that can easily be moved to the cloud.
- Evaluate the conditions and metrics required for a successful and cost effective migration.
How to Build the Data Mesh Foundation: A Principled Approach | Zhamak Dehghan...HostedbyConfluent
Organizations have been chasing the dream of data democratization, unlocking and accessing data at scale to serve their customers and business, for over a half a century from early days of data warehousing. They have been trying to reach this dream through multiple generations of architectures, such as data warehouse and data lake, through a cambrian explosion of tools and a large amount of investments to build their next data platform. Despite the intention and the investments the results have been middling.
In this keynote, Zhamak shares her observations on the failure modes of a centralized paradigm of a data lake, and its predecessor data warehouse.
She introduces Data Mesh, a paradigm shift in big data management that draws from modern distributed architecture: considering domains as the first class concern, applying self-sovereignty to distribute the ownership of data, applying platform thinking to create self-serve data infrastructure, and treating data as a product.
This talk introduces the principles underpinning data mesh and Zhamak's recent learnings in creating a path to bring data mesh to life in your organization.
Data democratization is the concept of creating a self-serve data layer where business users can access and manipulate data efficiently and effectively. This makes a more agile and flexible way to handle data based on your company's needs rather than being forced to compromise on user experience
Virtual Data Steward: Data Management 3.0CrowdFlower
Every company that is serious about data governance needs data stewards. Data stewards connect business information requirements and processes with information technology capabilities. This function is essential to bridging data management policies and standards to day-to-day operational practices.
Data analytics can immensely impact and improve a business’s decision-making processes. From better strategies to profits, explore the full scope of analytics.
Data analytics can immensely impact and improve a business’s decision-making processes. From better strategies to profits, explore the full scope of analytics.
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/
The data management procedure employed by your firm is capable of building your brand or breaking it all over. So, be wise in choosing the right strategy.
Data democratization the key to future proofing data culturePolestarsolutions
Learn how to empower your organization with accessible data insights through democratizing your data. This guide offers tips for choosing the right tools and fostering a data-driven culture.
This talk is an introduction to Data Science. It explains Data Science from two perspectives - as a profession and as a descipline. While covering the benefits of Data Science for business, It explaints how to get started for embracing data science in business.
In simple words, DataOps is all about aligning the way you manage your data with the objectives you have for that data. Let’s know in detail what actually DataOps is!
Big Data is Here for Financial Services White PaperExperian
Conquering Big Data Challenges
Financial institutions have invested in Big Data for many years, and new advances in technology infrastructure have opened the door for leveraging data in ways that can make an even greater impact on your business.
Learn how Big Data challenges are easier to overcome and how to find opportunities in your existing data and scale for the future.
Few decades ago, Managers relied on their instincts to take business decisions. They could afford to make mistakes and learn from it. Today, the scope for learning from mistakes is very minimal. Instincts should be backed by data to minimise mistakes.
Technological advancements, in addition to opening new channels of communication with customers, have also enabled organizations to collect vital information about their businesses with customers. But, have these organizations fully leveraged this data?
Today, Organizations make use of data for business decisions, but the data is not close enough to the customer to reap maximum benefit. In many cases, importance is not given to the granularity of data. The probability of “customer centric” decisions being right could be high, if the top management makes better use of the end user customer data (such as point of sale data, voice of customer, social media buzz etc.) to devise business strategies.
A Framework for Navigating Generative Artificial Intelligence for EnterpriseRocketSource
Generative AI has dominated the headlines recently, which has caused many enterprises to put a full stop to implementing this technology until they can understand what’s behind the glitz and glamour. What if we shifted the conversation? What if the focus became a fresh, incremental approach to embracing the opportunities with generative artificial intelligence to keep organizations moving upward on the S Curve of Growth?
Brands stay relevant and solve complex problems by testing the barometer for one thing — will a new strategy, tool, or piece of technology improve humanity?
Human connections are more vital than using shiny new tools or technology. As your teams work to steer clear of the temptation to do what everyone else is doing in uniform, this post will highlight how to stand out, compete, and do so with less risk in today’s world of generative AI overload.
Unlocking Growth and Retention Opportunities through Data Democratization.pdfRocketSource
Data democratization is the clarifying tool that’s critically required to truly tap into the power of an organization’s suite of North Star Metrics. Plenty of technology is available at an organization’s disposal to sharpen and bring into focus what’s happening beyond the corporate walls. However, with big data comes big problems, especially when teams fail to leverage and act on the high-level insights to unlock viable growth and retention opportunities far beyond the next quarter.
Are you ready to brush up on your modern glossary of CX terms? Click through to get a better understanding of the common terms being bandied about in the conference room, and how you can leverage these terms to make sound business decisions that amplify the brand and customer experience.
A Product-Led Growth Strategy for EnterpriseRocketSource
Product-led growth strategy might not be commonly thought of for enterprise, but it's time to innovate. Discover how to leverage a strategy traditionally used by Software as a Service (SaaS) for enterprises across all industries. In this presentation, you'll learn the importance of building employee experience feedback loops so that you craft more sublime experiences for your customers and your teams.
The Power of a Proper North Star MetricRocketSource
Nailing your North Star Metrics is critical to your growth and revenue acceleration. This single metric can either shine a light on how well your organization is leading the charge towards sustainable growth or sound alarm bells on a strategy that’s out of alignment.
Finding the right North Star Metric is no small feat. It takes extensive analysis, research and digging. Having the right framework in place to understand what your North Star Metric is and how to leverage it across your team and in the market is crucial.
In this post, you’ll learn what makes a good North Star Metric, how to adopt a solid framework to find that metric, and important means for bringing your business further in alignment with customer expectations
The Revenue Operations to Revenue Acceleration Framework Every Modern Busines...RocketSource
There is no silver bullet that can get brands to revenue acceleration. Instead, companies have to build a strong revenue operations infrastructure based on empathetic customer experience initiatives, intelligent data ops, and innovative content generation. Once you start with the end in mind, your organization can get to a sustainable — and much more feasible — revenue acceleration solution.
Uncovering an Innovative Monetization Strategy to Keep Your Organization Rele...RocketSource
An innovative monetization strategy requires much more than meets the eye. While many organizations focus their efforts on acquiring new customers and filling the funnel, the most successful companies focus instead on retention.
Uncovering an Innovative Monetization Strategy to Keep Your Organization Rele...RocketSource
An innovative monetization strategy requires much more than meets the eye. While many organizations focus their efforts on acquiring new customers and filling the funnel, the most successful companies focus instead on retention.
Uncovering an Innovative Monetization Strategy to Keep Your Organization Rele...RocketSource
An innovative monetization strategy requires much more than meets the eye. While many organizations focus their efforts on acquiring new customers and filling the funnel, the most successful companies focus instead on retention.
Leveraging StoryVesting to Find Product-Market FitRocketSource
Product-Market Fit — it’s the yearning of every founder and the mission of every product team. Why? Well, first in terms of securing funding, most investors and enterprise leaders demand that a team knows how to achieve it before they ever invest a dime into a new company or product idea.
https://www.rocketsource.co/blog/product-market-fit/
The 4 Machine Learning Models Imperative for Business TransformationRocketSource
Machine learning is hot right now and for good reason. We're going to break down what you need to know about what goes into a model and give you four machine learning models your business should have in production right now.
Transforming the Digital Experience Via Customer Journey MappingRocketSource
As the modern consumer's expectations of a sublime digital experience increase, so does the need for a new customer journey map. In this post, I unveil the Customer Insights Map, which makes the traditional exercise of customer journey mapping more intelligent by answering the nuances of today's buyers, leveraging machine learning, artificial intelligence, and path-to-purchase analytics to boost the lifetime value of customers.
The Incidental Science of Organizational Growth via Digital Transformation RocketSource
Simply boosting top-line metrics, such as profitability, aren't enough to position digital transformation as a success. Pervasive access to data and insights are critical as consumer demands shift alongside technological advancements. We explore the mechanisms for knowledge dissemination that answer the rapid evolution of today's world and how to push organizations up the S Curve of Growth through digital transformation.
https://www.rocketsource.co/blog/organizational-growth-via-digital-transformation/?utm_source=slideshare&utm_medium=social&utm_campaign=profile-page&utm_term=digital-transformation
Leveraging the StoryVesting Framework to Achieve Breakthrough Business Transf...RocketSource
Business transformation happens when you're able to provide impactful experiences both to your customers and to your employees. StoryVesting is the framework that guides you to that goal, but if you're looking for a basic roadmap, this isn't for you. This framework is steeped in intelligence, behavioral economics, and journey analytics.
Recession Business Strategy: What to Do Before, During, and After a RecessionRocketSource
Most people cringe at the idea of talking about economic catastrophe. But, having a recession business strategy in place – regardless of how uncomfortable the conversation might be – is one of the best ways to insulate your business regardless of the economic backdrop. We'll break down how to take a proactive stance, what to do when consumers stop spending, and how to emerge with powerful assets under your belt by adopting CX initiatives to power you through the downtimes. Get the details at Rocketsource.co/blog/recession-business-strategy
Humanizing Big Data: The Key to Actionable Customer Journey AnalyticsRocketSource
The ability to gather and act on Big Data has changed our world. For companies, this influx of information is an opportunity to understand consumers on an unprecedented level. But there's a big difference between collecting disparate data points and connecting with consumers through journey analytics.
The S Curve of Business: The Key Levers to Sustaining Momentum for Your BrandRocketSource
In the world of business, growth doesn't follow a constant upward trend. Instead, it takes the form of an S-shaped curve that naturally dips during the lifecycle of the company.
During these moments, successful organizations don't double down on failed tactics or simply copy the competition. They recognize the situation, rely on lessons learned, and focus on customer-centric innovation.
Companies that hope to lead the pack must learn to take in the big picture, avoid chasing tactics, and drive growth by providing frictionless experiences to their customers.
The Gift of Roger Federer to Corporate AmericaRocketSource
Businesses have a lot to learn from the trajectory of Roger Federer's career and his continued success on the tennis court.
Learn more at http://bit.ly/2msdg1R
The Customer Journey Funnel: The Key to Sustainable GrowthRocketSource
Creating a modern funnel to accommodate marketing and sales in today's market requires a strong understanding of the dynamics of customer behavior and the way processes should be structured to guide users down the path to purchase.
The terms "sales funnel" and "marketing funnel" don't quite fit the bill like they used to. Let's explore what a customer journey funnel is, and why it's so vital to organizations.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Data as a Service (DaaS): The What, Why, How, Who, and When
1. Data as a Service:
The What, Why, How, Who & When
2. Since Software as a Service was introduced in
the 1990s, a slew of other offerings have
emerged in the “as a service” family—including
Data as a Service (DaaS).
DaaS takes on the heavy lift of making data
more accessible to users. According to the
Gartner Hype Cycle, DaaS is climbing the
familiar peak and is predicted to have some
serious staying power.
What is Data as a Service?
3. Data as a Service providers wrangle the
overload of information available to companies
today, and then analyze and visualize data-
centric insights.
DaaS is a healthy combination of data science,
strategy, and structure to make datasets
understandable and actionable.
Elements of Data as a Service.
4. The importance of operationalizing data is
something most companies no longer
question. However, many still fail to
implement data analytics because of a
lack of infrastructure (56%), expertise
(46%), and buy-in from the board (37%).
Data as a Service is the solution to
companies trying to face these challenges
alone.
DaaS Simplifies the Complex.
Network
constrained by
bandwidth
No knowledge
to analyze
and use data
Analytical
engines can’t
handle data
Board members
concerned with
the risks of data
No understanding of
how to acquire data
IT lacks ability
to design
around data
No where to put
data once
collected
No business
owner
Source: eMarketer
5. Improving customer experience (CX) is one of
the highest and most coveted benefits of Data
as a Service.
According to research by Econsultancy and
Adobe, 65% of respondents said that data
analysis was very important to improving
customer experiences for client-facing
marketers. 41% of B2B professionals said the
same thing.
Benefits of DaaS.
Source: eMarketer
Improve Customer Experience
Higher Revenue
Increased Customer Retention/Loyalty
More Customers
Improve Products/Services
Better Pricing Strategy
Higher Profit Margins
Higher Customer Lifetime Value
Higher ROI
Other
6. When we look at monetizing data fronts,
it’s about finding ways to create more
effective initiatives that not only improve
on customer experiences, but the
business as a whole.
It’s through data analysis that
companies are able to drive profits by
making and acting on more insights-
centric decisions.
DaaS Makes Data Profitable.
Source: eMarketer
7. Any data driven initiatives should be geared
toward getting deeper insights in order to
personalize the customer’s experience.
One company excelling at personalization with
humanized data is Stitch Fix. Using over 85 data
points, Stitch Fix tailors their product to each
customer’s individual preferences. It’s this
personalization that has earned the attention of
Mary Meeker two years in a row.
Personalized Customer Experiences.
8. Advanced Analytics
DaaS takes a systematic approach to collecting and analyzing data. This approach is
known as data looping and requires a variety of roles and skill sets to do effectively.
Roles in the World of DaaS.
Application Development
Collaboration
Creativity
Data Analyst
Database Management
Domain Expertise
Programming
Systems Integration
Visualization
Advanced Analytics
9. To see the biggest results from the insights
pulled from the data, organizations need to get
the buy-in from teams and executives company
wide.
Data visualization takes data and uses it to tell
the story that will gain that buy-in and get teams
to understand how initiatives are impacting their
role, department, and the company as a whole.
Visualizing Data.
10. Data visualization enables you to gain buy-in from your team, investors, stakeholders, and
executives, which is a critical advantage to working with a DaaS provider.
Gaining Buy-In.
Data as a Service turns complex data into something more
viable and accessible that can be used to make a massive
impact on the bottom line.”
- Buckley Barlow, Founding Partner, RocketSource
“
11. The way you visualize your data can determine
the amount of buy-in you achieve and the depth
of insight you deliver to your teams.
An effective DaaS provider will be able to
visualize data that will show you where to spend
strategically and how to see the biggest profits
as a result of your data-centric initiatives.
Making Visualized Data Insightful.
Convergence/Divergence
Projected ROI
12. Insights are only valuable if you put them into action and use the data at your disposal to
make revenue-driving changes.
Data mapping is the process of making these insights actionable. By mapping out your next
steps, you have a clear idea of where you must make strategic changes to see the biggest
impact and ROI for your data-investment.
Making Data Actionable.
13. For a typical Fortune 1000, just a 10% increase in data accessibility will result in more
than $65 million additional net income. But DaaS is about more than financial gains.
Advantages of Data as a Service:
Lower costs, faster paths to innovative ventures, more agile
decision making, data-driven cultures, and lowered risks are
just a few of the successes we’ve seen when working with
our clients.”
“
- Jonathan Greene, Founding Partner, RocketSource
14. Companies are flocking to artificial intelligence
(AI) because of its ability to efficiently and
effectively interpret data and find patterns that
can predict future behavior.
It’s these predictive analytics that enable
businesses to find new opportunities to lower
costs and increase ROI.
Predictive Analytics Reduce
Costs.
15. Orangetheory, a high-end gym, used artificial
intelligence to find patterns in their data and
predict behavior from various cohorts of buyers.
By using AI, they were able to reduce their cost-
per-lead by $12, helping spur their growth to
over 1,000 studios in 15 countries.
How Orangetheory Reduced
Costs With AI
Launched
A1 Platform
16. When you run an intelligent operation, you’re
better able to make data-centric decisions,
reducing your risk and enabling you to execute
on new paths faster.
Chicisimo is an app that grew to 4-million users
in three years by analyzing human behavior.
Using their datasets, they pulled out valuable
insights that let them quickly update their
onboarding process and boost retention rates.
Execute on New Paths Faster.
17. 58% of people don’t make data-driven decisions in business and instead base regular
decisions on gut feel. This gut reaction leads to biased insights, which can prevent growth,
specifically through experience initiatives.
Collecting Unbiased Insights.
18. By democratizing data, you
provide your teams the tools
needed to move to the next level
in their roles within your
company.
A DaaS provider will make your
data more accessible and
digestible, helping you to drop
silo walls and see significant
changes across the all
departments.
Breaking Down Silo Walls.
Sales and Marketing
Research & Development
Supply Chain/Dist.
Workforce Management
Other Corporate Functions
Capital-asset Management
Other Operations
Manufacturing
Travel
Logistics
School
Sector
Advanced
Industries
Media
Telecom
Consumer
Retail
Financial
Services
Professional
Services
HealthCare
Systems
High
Tech
Materials,
Energy
19. Although data sets are complex, your DaaS provider should be able to showcase why it’s
worthwhile to start mining unstructured data and tapping into customer and employee
insights.
Proving Your Data Investment Pays Off:
Data as a Service answers the question, ‘Is our investment in
data and analytics paying off?’”
“- Buckley Barlow, Founding Partner, RocketSource
20. The Challenges of Outsourcing Data Services.
Giving a third-party provider access to something as critical to your business as
your data comes with its fair share of challenges too:
● Data Hygiene. You must consider the operational nuances of collecting and
handling Big Data in order to ensure it remains clean.
● Complex Navigation. You must work with a DaaS provider that
understands the intricacies involved in navigating complex datasets.
● Data Security. Data security is paramount and requires that all data
transmission and storage is handled with care.
21. Adding a Team to Your Internal Structure.
When integrating a third party team into your internal structure, you want to take things
in stages:
Start Small:
In the beginning, give your new DaaS
provider things they can’t break, such
as data visualization projects.
Stay away from anything with code or
from handing over the keys to any
database architecture.
Then to Back End Projects:
Only once a DaaS provider has been
tested and vetted should you give
access to your back office.
Ultimately, your DaaS provider will work
arm-in-arm with your IT department,
business intelligence team, and more.
Move to Front Facing
Projects:
Progress to working on front-facing
projects, such as conversion rate
optimization (CRO).
Give your DaaS provider access to your
funnel and let them work their magic
optimizing it.
22. Who Should Outsource Their
Data Analytics?
Small Businesses. To avoid analysis
paralysis and get the most actionable
insights.
Mid-Tier Companies. To properly
analyze the information flowing in as the
business and data grow.
Large Corporations. To drop silo walls
and structure the wealth of data pouring
in every day.
23. DaaS: A critical component
in today’s data-rich world.
Learn more at
RocketSource.co/Data-as-a-Service
Editor's Notes
If this doesn’t work out we can just delete the image and the box to get the background again