The document discusses embedded analytics and five critical success factors for embedded analytics projects. It provides an overview of embedded analytics compared to traditional BI, discusses how embedded analytics can help overcome barriers to analytics adoption, and outlines use cases. It then details five critical success factors for embedded analytics: 1) tying analytics to strategic goals and planning, 2) focusing on information visibility, 3) ensuring better data access, 4) providing real-time value, and 5) maintaining constant visibility. The presentation concludes with a discussion of Information Builders' approach to embedded analytics.
Making an Effective Business Case for Master Data ManagementProfisee
85% of MDM (master data management) initiatives will fail to go beyond piloting and experimentation, making a persuasive and informative business case for MDM critical to the program's success.
Data is the lifeblood of just about every organization and functional area today. As businesses struggle to come to grips with the data flood, it is even more critical to focus on data as an asset that directly supports business imperatives as other organizational assets do. Organizations across most industries attempt to address data opportunities (e.g. Big Data) and data challenges (e.g. data quality) to enhance business unit performance. Unfortunately however, the results of these efforts frequently fall far below expectations due to haphazard approaches. Overall, poor organizational data management capabilities are the root cause of many of these failures. This webinar covers three lessons (illustrated by examples), which will help you to establish realistic OM plans and expectations, and help demonstrate the value of such actions to both internal and external decision makers.
Check out more of our webinars here: http://www.datablueprint.com/resource-center/webinar-schedule/
5 Steps To Measure ROI On Your Data Science Initiatives - WebinarGramener
Gramener's Chief Decision Scientist & Co-Founder Ganes Kesari conducted an exciting webinar on how to measure ROI on your data science initiatives.
In this webinar people from the C-suite level CEO, COO, Directors, Managers across various industries joined.
Ganes Kesari covered the following points with industry examples:
-Identifying business use cases with a high impact
-Choosing effective success indicators
-Ascertaining that the consequences may be traced back to your data project
The attendees had a good time. Learnings from the webinar:
-Why do businesses struggle to get a return on their data investments?
-A straightforward framework for calculating the return on investment from your data projects
-Benchmarking of typical payback from data initiatives in the industry
To check out the complete recording of the webinar please visit:
https://info.gramener.com/5-steps-to-measure-roi-on-your-data-science-initiatives
To know more about data advisory check out:
https://gramener.com/advisory-consulting/
360 metadata - crucial for digital marketing - framework for youHeimo Hänninen
Digital Marketing requires high quality metadata about: your consumers, your products, product data and marketing content, your partners, your sales activities and pricing, to mention a few. Linked Open Data (LOD) and semantic technologies are robust, yet flexible way of merging and managing metadata for marketing from different sources. With LOD you can also realize Enterprise Linked Data in wider scope.
While many Digital Transformation initiatives are focused on improving the customer experience, often too little attention is paid to the customer-facing operational decisions that impact customers every day. To get the most from your Digital Transformation efforts, your customers’ experience and the decisions that impact it cannot be ignored.
How to Drive Better Business Insights with Strong Data GovernanceMatt Dillon
Learn why leading CMOs and CEOs are making data governance and data integration a top priority for driving revenue growth and improving profitability.
Your data is one of the most important assets you have as a business but are you taking the necessary steps to manage your data with care?
Are you using your data to improve the customer experience and make better business decisions?
Webinar includes:
- Creating a centre of excellence
- Establishing data standardization
- Developing application management plans
- Release management
- Incorporating data & systems integration strategies
- Data cleansing essentials
Your business has systems producing data. You need to get and analyse that data and report it to the right people at the right time so they can act on it. Maybe you also need to scale up your current BI, reduce costs and eliminate system bottlenecks. One thing is sure: Business Intelligence is now essential to company decision-making, it drives every business.
Some topics covered:
3 Fundamental barriers to BI.
BI Wins: Top 8 results we see from great BI.
Making your ROI case: Know your audience.
11 BI Goals to consider.
"If Business Intelligence distribution is the lifeblood of an enterprise, its absence is the equivalent of strangulation. It’s not just about producing the right stuff. It’s about getting that stuff to the right person at the right time."
Making an Effective Business Case for Master Data ManagementProfisee
85% of MDM (master data management) initiatives will fail to go beyond piloting and experimentation, making a persuasive and informative business case for MDM critical to the program's success.
Data is the lifeblood of just about every organization and functional area today. As businesses struggle to come to grips with the data flood, it is even more critical to focus on data as an asset that directly supports business imperatives as other organizational assets do. Organizations across most industries attempt to address data opportunities (e.g. Big Data) and data challenges (e.g. data quality) to enhance business unit performance. Unfortunately however, the results of these efforts frequently fall far below expectations due to haphazard approaches. Overall, poor organizational data management capabilities are the root cause of many of these failures. This webinar covers three lessons (illustrated by examples), which will help you to establish realistic OM plans and expectations, and help demonstrate the value of such actions to both internal and external decision makers.
Check out more of our webinars here: http://www.datablueprint.com/resource-center/webinar-schedule/
5 Steps To Measure ROI On Your Data Science Initiatives - WebinarGramener
Gramener's Chief Decision Scientist & Co-Founder Ganes Kesari conducted an exciting webinar on how to measure ROI on your data science initiatives.
In this webinar people from the C-suite level CEO, COO, Directors, Managers across various industries joined.
Ganes Kesari covered the following points with industry examples:
-Identifying business use cases with a high impact
-Choosing effective success indicators
-Ascertaining that the consequences may be traced back to your data project
The attendees had a good time. Learnings from the webinar:
-Why do businesses struggle to get a return on their data investments?
-A straightforward framework for calculating the return on investment from your data projects
-Benchmarking of typical payback from data initiatives in the industry
To check out the complete recording of the webinar please visit:
https://info.gramener.com/5-steps-to-measure-roi-on-your-data-science-initiatives
To know more about data advisory check out:
https://gramener.com/advisory-consulting/
360 metadata - crucial for digital marketing - framework for youHeimo Hänninen
Digital Marketing requires high quality metadata about: your consumers, your products, product data and marketing content, your partners, your sales activities and pricing, to mention a few. Linked Open Data (LOD) and semantic technologies are robust, yet flexible way of merging and managing metadata for marketing from different sources. With LOD you can also realize Enterprise Linked Data in wider scope.
While many Digital Transformation initiatives are focused on improving the customer experience, often too little attention is paid to the customer-facing operational decisions that impact customers every day. To get the most from your Digital Transformation efforts, your customers’ experience and the decisions that impact it cannot be ignored.
How to Drive Better Business Insights with Strong Data GovernanceMatt Dillon
Learn why leading CMOs and CEOs are making data governance and data integration a top priority for driving revenue growth and improving profitability.
Your data is one of the most important assets you have as a business but are you taking the necessary steps to manage your data with care?
Are you using your data to improve the customer experience and make better business decisions?
Webinar includes:
- Creating a centre of excellence
- Establishing data standardization
- Developing application management plans
- Release management
- Incorporating data & systems integration strategies
- Data cleansing essentials
Your business has systems producing data. You need to get and analyse that data and report it to the right people at the right time so they can act on it. Maybe you also need to scale up your current BI, reduce costs and eliminate system bottlenecks. One thing is sure: Business Intelligence is now essential to company decision-making, it drives every business.
Some topics covered:
3 Fundamental barriers to BI.
BI Wins: Top 8 results we see from great BI.
Making your ROI case: Know your audience.
11 BI Goals to consider.
"If Business Intelligence distribution is the lifeblood of an enterprise, its absence is the equivalent of strangulation. It’s not just about producing the right stuff. It’s about getting that stuff to the right person at the right time."
To succeed, an analytics or data science team must effectively engage with business experts who are often inexperienced with advanced analytics, machine learning and data science. They need a framework for connecting business problems to possible analytics solutions and operationalizing results. Decision modeling brings clarity to analytics projects, linking analytics solutions to business problems to deliver value.
Bridging the Data Divide: Driving Data and Analytics Projects Forward with Tr...Precisely
There’s no debate that data is the most valuable strategic asset available to your business today. According to ‘Voice of the Enterprise: Data Management and Analytics 2020’ by 451 Research, 63% of enterprises use data to drive nearly all or most of their strategic decisions.
Join Amy O’Connor, Precisely Chief Data and Information Officer, and Paige Bartley, 451 Research Senior Research Analyst for Data, AI, and Analytics as Paige shares the latest research on data and analytics drawn from surveys of business and technology decision-makers and chats with Amy about her experience implementing Precisely products to ensure data integrity and fuel the company’s data-driven business model.
View this on-demand webinar to hear Amy and Paige share their perspectives on key points from the research, including how:
• Only 25% of respondents rate more than 80% of their recent data and analytics initiatives as successful
• 78% of those most successful with data and analytics initiatives are using or considering using technologies to accelerate the analysis of distributed data
• 24% of respondents are investing in programs that increase trust in data by improving accuracy, quality, lineage and/or governance to improve their data culture
Five Attributes to a Successful Big Data StrategyPerficient, Inc.
The veracity, variety and sheer volume of data is increasing exponentially. With Hadoop and NoSQL solutions becoming commonplace, there are many technical options for managing and extracting value from this data. Many companies create labs to experiment with Big Data solutions, only later become IT playgrounds or unstructured dumping grounds.
To help avoid these pitfalls,companies with successful Big Data projects approach challenges by formulating a strategy that assures real business value is derived from their Big Data investments. In a Perficient poll, 73% of companies stated they are in the early-evaluation stage to find solutions to their Big Data problems and are only beginning to create their strategy.
Join us for a webinar featuring thought-provoking best practices used by successful companies to quickly realize business value from their Big Data investments. You'll learn:
The top five steps to increased business value
What the top companies are doing in Big Data that you need to know
Next steps to lay the ground work for a successful Big Data strategy
Linking Data Governance to Business GoalsPrecisely
The importance of data to businesses has increased exponentially over recent years as companies seek benefits such as gains in efficiency, the ability to respond to growing privacy regulations scale quickly and increased and increase customer loyalty.
Despite being a vital part of any Data Transformation, Data Governance has sometimes been misrepresented as a restrictive and controlling process leaving governance leaders having to continually make the case for business buy-in.
In this on-demand webinar we will explore the concept of business-first Data Governance, an approach that promotes adoption by the organisation, lays the foundation for data integrity and consistently delivers business value in the long term.
The rise of data - business value and the management imperativesSheriff Shitu
Directing the attention of business managers and strategy executives away from the flood of Big Data marketing unto internal organizational factors important for the success of Data-related initiatives. Such include developing a coherent understanding of the potential of data, assessing the preparedness of the business from a capability perspective, limiting waste by starting small, and understanding the requirements for sustaining these initiatives through strategy, culture, and governance.
The report narrows in on becoming a data-driven company from three dimensions:
• Datafication of internal operations from which useful data can be generated. Such data reveals insights that can be used to save costs or optimize business operations.
• Datafication of external customer engagement and service delivery channels to ensure that sufficient data is generated from which insights about customer behaviour and preferences can be generated.
• Making necessary management changes (data governance, organizational strategy and culture) to nurture and support the adoption of sustainable data-driven initiatives.
Selling MDM to Leadership: Defining the WhyProfisee
It's one of the hardest things to do prior to beginning an MDM initiative, but understanding why you need MDM from a business point of view is critical to ensure the success of the project.
Real-World Data Governance Webinar: Agile and Data Governance - Bridging the GapDATAVERSITY
The concepts of both Data Governance and Agile Development continue to be applied in many organizations with differing levels of success. Nobody is surprised that Data Governance and Agile Methods can be at odds with each other. Perhaps they can partner to demonstrate success in both disciplines. Can Data Governance be applied to agile projects? Can Data Governance be applied in an agile way? These are two fascinating questions.
Join Robert S. Seiner for this RWDG Webinar to explore ideas for how to stay Agile in our Data Governance efforts and how to Govern Agile efforts. The subject of Agile always seems to spark interest from skeptics and believers alike. This session focuses on discovering ways of bridging the gap.
This session will cover:
Data Governance and Agile Roles & Responsibilities
Applying Governance to Agile Projects
Being Agile with our Governance Requirements
Can the two coexist? “Selling” Agile to Governance People and the other way around
Is your business intelligence team backlogged with information demands? You're not alone. Business users have an insatiable appetite for information, yet current delivery methods can't keep pace.
Join us for an educational webinar discussing how to meet users' demands for information with your existing business intelligence platform and staff.
During our session, you will learn how to automate business intelligence solution delivery.
Are you an inquisitive person?
Do you have the enthusiasm and willingness to learn new topics?
Do you want to be a Data Scientist and make pots of money?
Do you like to know the future job prospects for Data Science?
Download my recent (12th January, 2021) presentation titled “Analytics – Future Trend and Job Prospects”.
Federated data organizations in public sector face more challenges today than ever before. As discovered via research performed by North Highland Consulting, these are the top issues you are most likely experiencing:
• Knowing what data is available to support programs and other business functions
• Data is more difficult to access
• Without insight into the lineage of data, it is risky to use as the basis for critical decisions
• Analyzing data and extracting insights to influence outcomes is difficult at best
The solution to solving these challenges lies in creating a holistic enterprise data governance program and enforcing the program with a full-featured enterprise data management platform. Kreig Fields, Principle, Public Sector Data and Analytics, from North Highland Consulting and Rob Karel, Vice President, Product Strategy and Product Marketing, MDM from Informatica will walk through a pragmatic, “How To” approach, full of useful information on how you can improve your agency’s data governance initiatives.
Learn how to kick start your data governance intiatives and how an enterprise data management platform can help you:
• Innovate and expose hidden opportunities
• Break down data access barriers and ensure data is trusted
• Provide actionable information at the speed of business
Slides: Bridging the Data Disconnect – Trends in Global Data ManagementDATAVERSITY
Maintaining a competitive edge in today’s digital landscape hinges on the ability to leverage accurate and reliable data to make informed and strategic business decisions. But transforming data from liability to strategic asset is far from simply flipping a switch.
New research from Experian shows that while 85 percent of businesses believe data is one of their most valuable assets, a high degree of inaccuracy is hindering critical initiatives. In addition, rising levels of data debt and a data skills shortage are converging to make data insights harder to achieve. To tackle the large degree of distrust in information, a growing number of companies are investing in specialized data talent and data literacy programs.
Join us to uncover new research from more than 1,000 global professionals as we take a deep dive into:
• The top challenges in leveraging trusted data
• How data debt drags down ROI
• Trends around data skills, talent, and the rise of data literacy
• Tips for how you can drive a data-driven culture
Slides: Go Beyond Dashboards With the Next Generation of AnalyticsDATAVERSITY
It’s time to think differently about using data and analytics. While many organizations have progressed from relying on static reports generated by IT teams to using some version of a self-service model, most still struggle to reap the world-changing benefits long-promised by experts. Unfortunately, each evolution has delivered only incremental improvements over the last wave of analytics, leaving the biggest problems half-solved.
Join this webinar to learn more about the next generation of embedded analytics: Analytics Infusion. Learn more about:
• Developing a new approach to solving the analytic adoption challenge
• Differentiating your product and customer experience
• Achieving business outcomes through data
What is data, information & data analytics?
What is their importance & impact on the business and market?
Who is Incorta and how it adds great value as a new, unified, innovative & a market disruptive analytics platform?
Prepared by: QA Manager "Mohamed Elprince"
How to Build Data Governance Programs That Last: A Business-First ApproachPrecisely
Traditional data governance initiatives fail by focusing too heavily on policies, compliance, and enforcement, which quickly lose business interest and support. This leaves governance leaders and data stewards having to continually make the case for data governance to secure business adoption.
In this introductory session, we will share the core components of a business-first data governance approach that promotes organizational adoption, lays the foundation for data integrity, and consistently delivers business value for the long term.
Five Critical Success Factors for Embedded Analyticsibi
This presentation explores operational embedded analytics and customer-facing analytics to provide insight into why organizations should be considering embedded analytics as part of their overall business intelligence strategy.
IT Analyst EMA and JReport: Enhance Your Applications with Embedded BIBob Report
Data is everywhere. Transactional data, big data, cloud data, decentralized data, governed data - you name it. With the ever-growing demand to analyze data, chances are your product or application needs to present this data for interactivity and decision-making. Application developers understand their users want to mashup centrally governed data with their own data, within a single, coherent view. But how do you embed the power of business intelligence (BI) into your existing application to work with all your data?
Join Dean Yao from JReport along with John Myers and Lyndsay Wise from leading IT analyst firm Enterprise Management Associates (EMA) for insights on how to leverage embedded BI, reporting, and data analysis in your application.
To succeed, an analytics or data science team must effectively engage with business experts who are often inexperienced with advanced analytics, machine learning and data science. They need a framework for connecting business problems to possible analytics solutions and operationalizing results. Decision modeling brings clarity to analytics projects, linking analytics solutions to business problems to deliver value.
Bridging the Data Divide: Driving Data and Analytics Projects Forward with Tr...Precisely
There’s no debate that data is the most valuable strategic asset available to your business today. According to ‘Voice of the Enterprise: Data Management and Analytics 2020’ by 451 Research, 63% of enterprises use data to drive nearly all or most of their strategic decisions.
Join Amy O’Connor, Precisely Chief Data and Information Officer, and Paige Bartley, 451 Research Senior Research Analyst for Data, AI, and Analytics as Paige shares the latest research on data and analytics drawn from surveys of business and technology decision-makers and chats with Amy about her experience implementing Precisely products to ensure data integrity and fuel the company’s data-driven business model.
View this on-demand webinar to hear Amy and Paige share their perspectives on key points from the research, including how:
• Only 25% of respondents rate more than 80% of their recent data and analytics initiatives as successful
• 78% of those most successful with data and analytics initiatives are using or considering using technologies to accelerate the analysis of distributed data
• 24% of respondents are investing in programs that increase trust in data by improving accuracy, quality, lineage and/or governance to improve their data culture
Five Attributes to a Successful Big Data StrategyPerficient, Inc.
The veracity, variety and sheer volume of data is increasing exponentially. With Hadoop and NoSQL solutions becoming commonplace, there are many technical options for managing and extracting value from this data. Many companies create labs to experiment with Big Data solutions, only later become IT playgrounds or unstructured dumping grounds.
To help avoid these pitfalls,companies with successful Big Data projects approach challenges by formulating a strategy that assures real business value is derived from their Big Data investments. In a Perficient poll, 73% of companies stated they are in the early-evaluation stage to find solutions to their Big Data problems and are only beginning to create their strategy.
Join us for a webinar featuring thought-provoking best practices used by successful companies to quickly realize business value from their Big Data investments. You'll learn:
The top five steps to increased business value
What the top companies are doing in Big Data that you need to know
Next steps to lay the ground work for a successful Big Data strategy
Linking Data Governance to Business GoalsPrecisely
The importance of data to businesses has increased exponentially over recent years as companies seek benefits such as gains in efficiency, the ability to respond to growing privacy regulations scale quickly and increased and increase customer loyalty.
Despite being a vital part of any Data Transformation, Data Governance has sometimes been misrepresented as a restrictive and controlling process leaving governance leaders having to continually make the case for business buy-in.
In this on-demand webinar we will explore the concept of business-first Data Governance, an approach that promotes adoption by the organisation, lays the foundation for data integrity and consistently delivers business value in the long term.
The rise of data - business value and the management imperativesSheriff Shitu
Directing the attention of business managers and strategy executives away from the flood of Big Data marketing unto internal organizational factors important for the success of Data-related initiatives. Such include developing a coherent understanding of the potential of data, assessing the preparedness of the business from a capability perspective, limiting waste by starting small, and understanding the requirements for sustaining these initiatives through strategy, culture, and governance.
The report narrows in on becoming a data-driven company from three dimensions:
• Datafication of internal operations from which useful data can be generated. Such data reveals insights that can be used to save costs or optimize business operations.
• Datafication of external customer engagement and service delivery channels to ensure that sufficient data is generated from which insights about customer behaviour and preferences can be generated.
• Making necessary management changes (data governance, organizational strategy and culture) to nurture and support the adoption of sustainable data-driven initiatives.
Selling MDM to Leadership: Defining the WhyProfisee
It's one of the hardest things to do prior to beginning an MDM initiative, but understanding why you need MDM from a business point of view is critical to ensure the success of the project.
Real-World Data Governance Webinar: Agile and Data Governance - Bridging the GapDATAVERSITY
The concepts of both Data Governance and Agile Development continue to be applied in many organizations with differing levels of success. Nobody is surprised that Data Governance and Agile Methods can be at odds with each other. Perhaps they can partner to demonstrate success in both disciplines. Can Data Governance be applied to agile projects? Can Data Governance be applied in an agile way? These are two fascinating questions.
Join Robert S. Seiner for this RWDG Webinar to explore ideas for how to stay Agile in our Data Governance efforts and how to Govern Agile efforts. The subject of Agile always seems to spark interest from skeptics and believers alike. This session focuses on discovering ways of bridging the gap.
This session will cover:
Data Governance and Agile Roles & Responsibilities
Applying Governance to Agile Projects
Being Agile with our Governance Requirements
Can the two coexist? “Selling” Agile to Governance People and the other way around
Is your business intelligence team backlogged with information demands? You're not alone. Business users have an insatiable appetite for information, yet current delivery methods can't keep pace.
Join us for an educational webinar discussing how to meet users' demands for information with your existing business intelligence platform and staff.
During our session, you will learn how to automate business intelligence solution delivery.
Are you an inquisitive person?
Do you have the enthusiasm and willingness to learn new topics?
Do you want to be a Data Scientist and make pots of money?
Do you like to know the future job prospects for Data Science?
Download my recent (12th January, 2021) presentation titled “Analytics – Future Trend and Job Prospects”.
Federated data organizations in public sector face more challenges today than ever before. As discovered via research performed by North Highland Consulting, these are the top issues you are most likely experiencing:
• Knowing what data is available to support programs and other business functions
• Data is more difficult to access
• Without insight into the lineage of data, it is risky to use as the basis for critical decisions
• Analyzing data and extracting insights to influence outcomes is difficult at best
The solution to solving these challenges lies in creating a holistic enterprise data governance program and enforcing the program with a full-featured enterprise data management platform. Kreig Fields, Principle, Public Sector Data and Analytics, from North Highland Consulting and Rob Karel, Vice President, Product Strategy and Product Marketing, MDM from Informatica will walk through a pragmatic, “How To” approach, full of useful information on how you can improve your agency’s data governance initiatives.
Learn how to kick start your data governance intiatives and how an enterprise data management platform can help you:
• Innovate and expose hidden opportunities
• Break down data access barriers and ensure data is trusted
• Provide actionable information at the speed of business
Slides: Bridging the Data Disconnect – Trends in Global Data ManagementDATAVERSITY
Maintaining a competitive edge in today’s digital landscape hinges on the ability to leverage accurate and reliable data to make informed and strategic business decisions. But transforming data from liability to strategic asset is far from simply flipping a switch.
New research from Experian shows that while 85 percent of businesses believe data is one of their most valuable assets, a high degree of inaccuracy is hindering critical initiatives. In addition, rising levels of data debt and a data skills shortage are converging to make data insights harder to achieve. To tackle the large degree of distrust in information, a growing number of companies are investing in specialized data talent and data literacy programs.
Join us to uncover new research from more than 1,000 global professionals as we take a deep dive into:
• The top challenges in leveraging trusted data
• How data debt drags down ROI
• Trends around data skills, talent, and the rise of data literacy
• Tips for how you can drive a data-driven culture
Slides: Go Beyond Dashboards With the Next Generation of AnalyticsDATAVERSITY
It’s time to think differently about using data and analytics. While many organizations have progressed from relying on static reports generated by IT teams to using some version of a self-service model, most still struggle to reap the world-changing benefits long-promised by experts. Unfortunately, each evolution has delivered only incremental improvements over the last wave of analytics, leaving the biggest problems half-solved.
Join this webinar to learn more about the next generation of embedded analytics: Analytics Infusion. Learn more about:
• Developing a new approach to solving the analytic adoption challenge
• Differentiating your product and customer experience
• Achieving business outcomes through data
What is data, information & data analytics?
What is their importance & impact on the business and market?
Who is Incorta and how it adds great value as a new, unified, innovative & a market disruptive analytics platform?
Prepared by: QA Manager "Mohamed Elprince"
How to Build Data Governance Programs That Last: A Business-First ApproachPrecisely
Traditional data governance initiatives fail by focusing too heavily on policies, compliance, and enforcement, which quickly lose business interest and support. This leaves governance leaders and data stewards having to continually make the case for data governance to secure business adoption.
In this introductory session, we will share the core components of a business-first data governance approach that promotes organizational adoption, lays the foundation for data integrity, and consistently delivers business value for the long term.
Five Critical Success Factors for Embedded Analyticsibi
This presentation explores operational embedded analytics and customer-facing analytics to provide insight into why organizations should be considering embedded analytics as part of their overall business intelligence strategy.
IT Analyst EMA and JReport: Enhance Your Applications with Embedded BIBob Report
Data is everywhere. Transactional data, big data, cloud data, decentralized data, governed data - you name it. With the ever-growing demand to analyze data, chances are your product or application needs to present this data for interactivity and decision-making. Application developers understand their users want to mashup centrally governed data with their own data, within a single, coherent view. But how do you embed the power of business intelligence (BI) into your existing application to work with all your data?
Join Dean Yao from JReport along with John Myers and Lyndsay Wise from leading IT analyst firm Enterprise Management Associates (EMA) for insights on how to leverage embedded BI, reporting, and data analysis in your application.
These slides - based on the webinar featuring John Myers and Lyndsay Wise from leading IT analyst firm Enterprise Management Associates (EMA) along with Dean Yao from JReport - provide insight on how to leverage embedded BI, reporting, and data analysis in your application.
#IBMInsight Session presentation "Transforming your Enterprise to Get Value from BigData and Analytics: How to Get Started".
Transforming Your Enterprise to Get Value from Big Data
and Analytics: How to Get Started
The Journey, The Value Analytics Drives, Analytics Leadership and Governance, Analytics Case Studies, Best Practices for Getting Started
More at ibm.biz/BdEPRs
Data Virtualization - Enabling Next Generation AnalyticsDenodo
Watch full webinar here: https://goo.gl/3gNMXX
Webinar featuring guest speaker Boris Evelson, Vice President, Principal Analyst at Forrester Research and Lakshmi Randall, Director of Product Marketing, Denodo.
Majority of enterprises today are data-aware. Being data-aware, or even data-driven, however, is not enough. Are your data-driven applications providing contextual and actionable insight? Are your analytics applications driving tangible business outcomes? Are you deriving insights from all the enterprise data? Enter Systems Of Insight (SOI), Forrester's latest analytical framework for insights-driven businesses.
In this webinar you will learn about the key principles that differentiate data-aware or data-driven businesses from their insights-driven peers and competitors. Specifically the webinar will explore roles data virtualization (aka Data Fabric) plays in modern SOI architectures such as:
• A single virtual catalog / view on all enterprise data sources including data lakes.
• A more agile and flexible virtual enterprise data warehouse.
• A common semantic layer for business intelligence (BI) and analytical applications (aka BI Fabric).
The Ultimate Guide To Embedded Analytics Poojitha B
Did you know that the lack of in-context data prevents you from making smarter business decisions - and as a result, missing out on key revenue opportunities?
Anil Kaul, CEO and Co-Founder, AbsolutData delivered a session on institutionalizing Big Data analytics for organizations, at the Big Data Innovation Summit, London on 1st May, 2013.
AbsolutData is a global leader in applying analytics to drive sales and increase profits for its customers. AbsolutData has built strong expertise and traction with Fortune 1000 companies across 40 countries. We specialize in big data, high end business analytics, predictive modeling, research, reporting, social media analytics and data management services. AbsolutData delivers world class analytics solutions by combining their expertise in industry domains, analytical techniques and sophisticated tools.
Visit us here : www.absolutdata.com
Slide deck from a webinar presented by Earley Information Science on "MDM - The Key to Successful Customer Experience Management." Featured speaker is EIS Director of Delivery Services, Tim Barnes.
Implementing a Successful, Scalable, Governed BI ProgramPyramid Analytics
Explore elements, challenges, and tips in orchestrating a successful BI program. See related highlights from the BARC BI Survey 14 and from Gartner research. This slide presentation accompanies a webinar given in March 2015. For more contextual information related to these slides, see the list of content on the “Additional resources” slide of this presentation.
Business intelligence and data analytic for value realization iyke ezeugo
This presentation centres on how Businesses can take advantage of this era of information overload for enhancing their Business Intelligence and Data Analytic exploits to assure greater values with the available technology solutions.
It is focused on demystifying the BIG DATA phenomenon of the information age, and also on motivating traditional business drivers to begin to take advantage of business decision support systems (DSS) for their business intelligence and data analytics needs. The objective is to help organizations discover what and what they can do with these ICT solutions in their business for greater value realization. These values are expressed in building agile business that are able to thrive, make profit, grow and remain sustainable in the midst of stiff competition, globalization, innovation and regulatory pressures, even with elastic customers’ demands.
These slides - based on the webinar featuring Dennis Drogseth, VP of research at leading IT analyst firm Enterprise Management Associates (EMA), and Sasha Gilenson, founder and CEO at Evolven Software - examine how “tiered” or “blended” sources can bring fast time to value across performance management, change management and other use cases.
These slides cover:
- Why, and in what contexts, do IT organizations need to change to become more effective and valued?
- What is tiered or blended analytics, and how can it come to the rescue?
- How is blended analytics different from more traditional big data approaches?
Data-Driven is Passé: Transform Into An Insights-Driven EnterpriseDenodo
Watch the full webinar: http://goo.gl/c5rlCM
Speakers: Holger Kisker, Ph.D., Vice President and Research Director at Forrester Research Inc.
Listen to Holger Kisker, Vice President and Research Director at Forrester Research Inc., describe the three step plan for organizations to become insights-driven rather than data-driven enterprises. Adopting systems of insight and embedding them into your organization’s systems of engagement, record, and automation allows you to turn data into action. As a final step, data virtualization can help keep all systems in synch, being a key enabler for systems of insight.
Building a 360 Degree View of Your Customers on BICSPerficient, Inc.
Why there is a need for Customer 360 and what the proposed cloud based solution is. We cover the stages of strategic marketing and how Oracle BI can help.
Critical success factors to develop and deliver a forward-looking BI strategy...SAP Analytics
sap.com/analytics - This SAPinsider #BI2015 session attendees will learn key elements of an effective BI strategy that benefits both IT and the core business alike.
Four Key Considerations for your Big Data Analytics StrategyArcadia Data
Learn 4 of the key things to consider as you create your big data analytics strategy from John Meyers (Enterprise Management Associates) and Steve Wooledge (Arcadia Data).
Similar to 5 Critical Success Factors for Embedded Analytics (20)
The typical network operations teams use four to 15 tools to manage and monitor infrastructure. This fractured approach to operations often leads to inefficiencies and errors. With Cisco Prime exiting the industry, network managers should look for ways to consolidate and optimize their entire toolset.
Check out these slides from EMA Research and OpenText to discover:
- Why you need to take a new approach to network tools
- Insights from your network management peers who are planning a Cisco Prime replacement
- What features and functionality you should look for in your next network management solution
Discover the latest insights and trends shaping the landscape of workload automation and orchestration, featuring highlights from the latest "EMA Radar™ Report for Workload Automation and Orchestration."
You will learn more about:
- Workflow Orchestration - Uncover the evolving role of orchestration in simplifying complex workflows in the era of digital transformation.
- Data Pipeline Orchestration – Learn more about WLA support for DataOps, including the integration of Apache Airflow.
- Mainframe Modernization - Gain a deeper understanding of how organizations are embracing modernization while still leveraging their mainframe investments.
- DevOps Support and Collaboration - Explore the pivotal role of workload automation in DevOps practices.
EMA Research Director Valerie O’Connell provides insights into the current, practical, and desired states of incident response and management, including:
- The roles of AI and automation in incident management
- Practical use cases for gen AI
- Business metrics and results
- Near-term investments and anticipated changes
- How organizations are changing to exploit technology advances
These slides from Enterprise Management Associates (EMA) present a wealth of research data from EMA’s recent study of real-world adoption patterns, challenges, trends, and enterprise-priorities related to infrastructure and application observability.
According to new EMA research, 84% of enterprises are seeing increased collaboration between their network and security teams. This NetSecOps convergence allows these teams to support new technologies, such as hybrid, multi-cloud architecture, and secure access service edge (SASE).
These slides from EMA Vice President of Research, Shamus McGillicuddy, provide highlights from his market research report, “NetSecOps: Examining How Network and Security Teams Collaborate for a Better Digital Future.”
Check out these slides to discover:
- What causes network and security team collaborations to fail
- How network data, especially packets and DNS logs, play a critical role in partnerships between
- Why network automation and network monitoring tools are critical to collaboration
- How SASE and multi-cloud are impacting collaboration
These slides discuss how to improve user experiences, boost IT efficiency, and drive business growth with modern ITSM.
The slides also dive into:
- Global forces—positive and adverse—impacting midsize organizations
- Top challenges to delivering high-quality services and effective strategies to overcome them
- The research-based case for ITSM modernization and practical ways to get started
Based on the IT Executive Survey 2023 fielded by leading IT analyst research firm EMA and global analytics software firm FICO, these slides explore key trends and opportunities shaping the technology landscape in the global banking, finance, and insurance industries. It will also examine how technology executives are aligning with their business counterparts to drive strategic outcomes.
You will also learn more about:
- Top technology-related priorities for banks and insurers, along with strategies to address significant challenges.
- Changing technology buying behavior and considerations for selecting new technology solutions.
- Strategies for maximizing the value of data and AI investments within enterprises.
- The benefits of a unified platform approach and its impact on other initiatives, such as cloud adoption and legacy modernization.
In a landscape where data is king, master data management (MDM) plays a pivotal role in ensuring data quality and consistency across organizations. Enterprise Management Associates (EMA) research shows that 96% of enterprises have one or more MDM tools or are planning to add one in the next 24 months. Achieving a successful MDM implementation, however, proves challenging for many, with 30% of organizations failing on their first attempt to deploy an MDM. Implementation teams struggle with data quality, data mapping and transformation, integration complexity, and many other challenges. What is the secret to a successful MDM implementation?
Check out these slides from EMA and Semarchy to find out!
The days of traditional passwords are numbered!
To help bring clarity to the rapidly evolving authentication landscape, Enterprise Management Associates (EMA) conducted primary research into business and end user requirements, perceptions, and outcomes in the usage of password and passwordless authentication technologies. The results present a clear snapshot of where the identity management market is today and the direction it is heading.
Get the results when you download these slides. Topics to be covered include:
- The greatest security risks posed by the continued use of passwords
- The types of authentication technologies users prefer to use as both employees and consumers
- How to reduce time, efforts, and costs associated with managing user identities
- And, much more!
Too many network managers are fighting losing battles. Since 2016, the number of enterprise NetOps teams that are fully successful has dropped from 49% to 27%, according to Enterprise Management Associates (EMA) research.
These slides discuss why NetOps teams are failing and how a monitoring solution with a service-centric view of the network can turn things around.
These research slides provide insights into the critical issues involved in handling application- and infrastructure-complexity in ever-changing hybrid multi-cloud settings. Torsten Volk, Managing Research Director at EMA, and Jasper Paul, a Principal Product Manager at ManageEngine Site24x7, explore:
The Anatomy of Complexity: Understand and escape the complexity trap of distributed cloud native applications.
Monitoring and Metrics: Examine approaches for effective monitoring of resource utilization and performance as key components of complexity management.
AIOps: Examine the capabilities of AIOps.
FinOps Strategies: Explore frameworks and best practices for efficiently managing your cloud's financial operations without compromising on performance, resilience, or security.
Case Studies: Gain insights from real-world instances where companies have successfully mitigated the complexities and risks associated with distributed microservices architectures.
No matter what your current level of cybersecurity knowledge is, these slides created by EMA Research and A10 Networks will provide valuable insights into the latest trends and empower you with the best practices in cloud and web application security.
Download to learn more about:
- The top threats that pose a risk to your organization and how to mitigate them
- The difference between buzz and hype in today’s security approaches, and how this can be used to help your organization
- A discussion of Zero Trust, web application security, DDoS protection, encryption, and more for the hybrid cloud world
These research slides from EMA Managing Research Director Torsten Volk provide you with insights into EMA’s Kubernetes research. Based on the perspective of application developers, platform engineers, and security and IT operations professionals, this research delivers insights into the real-world adoption patterns, challenges, trends, and enterprise priorities related to the Kubernetes container platform.
Download and learn more about:
Challenges and Solutions – The top issues developers, IT operations, and security teams face and how to solve them.
Real-Life Insights – From cost pitfalls to maximizing developer productivity, this research sheds light on what IT professionals face and delivers actionable insights into these issues.
Security Vulnerabilities – The core types of security vulnerabilities and how to mitigate them.
Community Priorities – What the Kubernetes community is working on.
Global Trends – Adoption patterns of Kubernetes worldwide.
Enterprise Management Associates (EMA) has published the most comprehensive market research study on DDI solutions in over a decade, “DDI Directions: DNS, DHCP and IP Address Management Strategies for the Multi-Cloud Era.” Based on a survey of 333 enterprise DDI experts, this research found that less than 40% of enterprises are fully successful in their approach to DDI technology.
These slides created by Shamus McGillicuddy, EMA vice president of research, provide insights into the following:
- Why only 31% of enterprise are confident in the security of their DNS infrastructure
- How DDI enables network automation
- How cloud migration disrupts DDI strategy and what you can do about it
- What to look for in an ideal DDI product
By the end of 2023, 83% of enterprises expect to connect operational technology (OT) and IoT devices to their enterprise networks, according to Enterprise Management Associates (EMA) research. IT and OT are converging so that enterprises can analyze OT data, innovate, and optimize industrial systems. A new approach to OT security is required.
Enterprises need to modernize network architecture to protect these critical assets, especially by updating their network security and modernizing their approach to network segmentation.
These slides explore how enterprises can use OT-dedicated firewalls and zero trust network access to protect OT systems from malicious actors.
Despite claims that the rise of cloud cuts the relevance of CMDB, Enterprise Management Associates (EMA) experience and field research consistently find the opposite to be true. In a recent EMA research study, a panel of global IT leaders stated that CMDB use was central to major functions. For many of those respondents, CMDB use was viewed as increasing in importance for automation of complex processes.
Where is the disconnect?
Check out these slides from EMA's Research Director, Valerie O’Connell, to get insights into the research findings, including:
- CMDB use is increasing for 64% of organizations
- Hybrid organizations have the highest rate of CMDB use increase
- 24% update the CMDB in real time. Is that the right frequency?
- Why CMDB has an uneven reputation
- Success rates, reasons, and returns
For all its benefits, remote work puts tremendous pressure on network infrastructure and operations teams, who must maximize network experience while maintaining security. Enterprise Management Associates (EMA) explores this issue in depth with its market research report, “Modernizing Network Engineering and Operations in the Era of Hybrid and Remote Work,” based on a survey of 354 IT professionals.
Get insights when you check out these research slides.
As security leaders evaluate the vast array of tools available to combat ransomware attacks, endpoint and extended detection and response solutions still stand out as the best defense against emerging threats. How can an enterprise know which of these tools is the best though?
Enterprise Management Associates (EMA) surveyed IT professionals, information security practitioners, and technology business leaders across all verticals to discover their attitudes and perspectives toward XDR solutions. The primary goal was to use survey responses and third-party interviews to create a comprehensive definition of “What is XDR?” for leaders to use as part of their solution evaluation process.
Check out these research slides featuring Christopher Steffen, CISSP, CISA, and vice president of research at EMA, to discover the definition and get results from this research.
Enterprise Management Associates (EMA) research reveals that companies are more successful with SD-WAN transformation when they consume the technology as a managed service. How can an IT organization know if it is choosing the right managed service, though?
Check out these slides to discover the five things you need to know about the power of a managed SD-WAN solution. You will also learn more about:
- Why so many enterprises are choosing managed SD-WAN over DIY deployments
- What to look for in an SD-WAN provider
- Tips for optimizing Day 2 operations with managed SD-WAN
- Charting a path to the future, including secure access service edge
With users working remotely and data now housed in multiple cloud applications, securing access to data is essential to a modern digital infrastructure. The rise of hybrid work has challenged the scalability of traditional VPNs, and hybrid multi-cloud architectures have made legacy centralized VPN concentrators impractical.
Zero trust network access (ZTNA) is an emerging class of technology that addresses these new remote access requirements and challenges.
Check out these slides to discover why it’s time to transition from legacy VPNs to ZTNA solutions. You will also learn more about:
- Why legacy VPN technologies cannot address the needs of modern enterprises
- How ZTNA helps secure remote access in the era of hybrid work and multi-cloud architectures
- The best way to transition to a next-generation solution
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
1. Lyndsay Wise
Research Director
Enterprise Management Associates
Twitter: @wiseanalytics
Five Critical Success Factors
for Embedded Analytics
Jake Freivald
VP of Product Marketing
Information Builders
Twitter: @jdfreivald
5. Agenda
A look at embedded analytics
• How user expectations differ between traditional and embedded analytics
• The barriers to adoption that embedded analytics can help overcome
• How organizations can gain buy-in and sell the value to project stakeholders
• Use cases and examples of operational and customer-focused embedded analytics
• Technical requirements and differences of both operational and customer-focused
embedded analytics
5 critical success factors
• Tying embedded analytics to strategic business goals and planning
• Focus on information visibility across the organization
• Ensure better data access
• Real-time value
• Constant visibility
Slide 5
25. 25
Data
Quality
Data
Governance
Master Data
Management
Integrity
Integration
Batch ETL Real-Time ESB
ApplicationsLegacy Systems Relational/Cubes Big Data Columnar/In Memory Unstructured Social Media Web Services Trading PartnersIoT
Hadoop-Based
BI Portal Embedded InfoApps™ Mobile
Natural Language/
Narrative BI
Data Discovery Reporting Dashboards
High-Performance
Data Store
Intelligence
Location
Analytics
Casting
and Archiving
In-Document
Analytics
SearchPredictive
Analytics
Sentiment and
Word Analytics
Performance
Management
Social
Hot
Bad
Feedback
Write-Back
26. 26
Data
Quality
Data
Governance
Master Data
Management
Integrity
Integration
Batch ETL Real-Time ESB
ApplicationsLegacy Systems Relational/Cubes Big Data Columnar/In Memory Unstructured Social Media Web Services Trading PartnersIoT
Hadoop-Based
BI Portal Embedded InfoApps™ Mobile
Natural Language/
Narrative BI
Data Discovery Reporting Dashboards
High-Performance
Data Store
Intelligence
Location
Analytics
Casting
and Archiving
In-Document
Analytics
SearchPredictive
Analytics
Sentiment and
Word Analytics
Performance
Management
Social
Hot
Bad
Feedback
Write-Back
27. IT Developers Management Operational Workers Business Partners Customers
Tools for business users & IT
Self-Service for Everyone
Business Analysts
App Studio InfoAssist+
Data
Discovery
Predictive
Analytics
Social
Intelligence
Search
Location
Intelligence
Reporting
Dashboards
Generate & Deploy Insights
Social
Hot
Bad
Feedback
28. IT Developers Management Operational Workers Business Partners Customers
Tools for business users & IT – InfoApps™ for non-technical users
Self-Service for Everyone
InfoApps™
Dashboards &
Scorecards
Governed Self-
service Reporting
Mobile InfoApps
E-Statements
Data Discovery
InfoApps
Predictive InfoApps Search & Social
Analytic InfoApps
Operationalize Insights & Monetize Data
Business Analysts
App Studio InfoAssist+
Data
Discovery
Predictive
Analytics
Social
Intelligence
Search
Location
Intelligence
Reporting
Dashboards
Generate & Deploy Insights
Social
Hot
Bad
Feedback
29. Embedded BI
For Commercial Portals
168/286 JSR-compliant portlets/webparts
For Custom Portals and SaaS-style Apps
a. iFrame “Mashup” Style – simplest
b. RESTful Web Service API – maximum control and flexibility
For Resellers, Partners, and On-Premises Apps
Deliver a fully customized and styled BI service within or alongside
an on-premises application
29
Some technical details
30. Information Builders understands
the economics of the SaaS business.
They were able to come up with
a pricing structure that works
for both of us.
Alan Rich
Chief Executive Officer
WebFOCUS at Chrome River
30
Software Provider Makes SaaS Offering Shine With BI
Challenge: Integrate a robust reporting solution
that supports RIAs in a lightweight, web-based
deployment model. Establish flexible pricing to
complement a subscription-based SaaS model.
Strategy: Create parameterized reports that leverage a
multitenant security model, and augment these reports
with a flexible ad hoc environment.
Results: Expense reporting now includes flexible
inquiry and analysis tools that provide visibility into
spending patterns by office, department, practice
group, user, client, and other variables.
Computer Services, Customer Since 2009
31. WebFOCUS at Chrome River
31
SaaS Application
Create
Expense
Report
Chrome
River
Servers
Review/
Approve
Reports
Reimbursement
Deposit
Accounts
Payable
Client
Billing
Client
Invoices
Data exportsData imports
Clients /
Matters
Daily
FX Rates
Cash
Advances
Credit card
Transactions
Scanned
Receipts
Phone
Entries
Computer Services, Customer Since 2009
33. Additional Resources
33
Videos
What is Embedded BI
and its requirements?
Other information
Fact sheet
Recent blog post
Customer story
Paycor embeds WebFOCUS
into their HR application
White paper
Making a Case for Embedded
Business Intelligence