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Five Critical Success Factors for Embedded Analytics
The document discusses five critical success factors for embedded analytics: 1) Tying embedded analytics to strategic business goals and planning, 2) Focusing on information visibility across the organization, 3) Ensuring better data access, 4) Providing real-time value, and 5) Ensuring constant visibility. It provides details on each success factor and examples of how embedded analytics can help achieve them. The document is presented as a slide deck for a presentation on embedded analytics.
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Five Critical Success Factors for Embedded Analytics
- 1. Five critical successfactors for embedded analytics
- 2. Agenda A look atembedded 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 2
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- 4. Traditional Business Intelligencevs. Embedded Analytics Embedded Analytics Ease of use Broad deployment Intuitive self-service Supports agility Easy to reach customers Real-time operational access Slide 4 © 2017 Enterprise Management Associates, Inc. Traditional Analytics Limited reach within organization Pre-defined analytics Information silos Longer times to delivery
- 5. Barriers To Analytics– Solving Them Through Embedded Analytics Adoption Wide adoption remains hard – depending on solution, self-service does not truly exist for most business users Data access is limited with data silos and lack of information sharing Difficult to create real-time data access Requires an understanding of where data comes from and how it interrelates Lack of trust – can create invalid analytics or access to wrong data No barrier to access as analytics become a part of operational/transactional applications Predefined access takes out the guesswork Ability to stream analytics within applications Users don’t have to think to get information applicable to their line of business Assumption of trust – developed to take into account business scenarios, rules, and processes Slide 5 © 2017 Enterprise Management Associates, Inc.
- 6. Gaining Buy-In AndSelling The Value To Project Stakeholders Slide 6 © 2017 Enterprise Management Associates, Inc.
- 7. Use Cases OfOperational And Customer-Focused Embedded Analytics Slide 7 © 2017 Enterprise Management Associates, Inc.
- 8. Technical requirements forembedded analytics • Level of integration – portal versus white labeled within application • Security and privacy of data – need to ensure that operational intelligence data reflects the access level of those who view it; customer-focused needs to provide customers with trust that their data is secure • Potential need for multi-tenancy for customer-focused embedded analytics • Level of embedded access – URL to white labeling – what type works best may differ based on use case Slide 8 © 2017 Enterprise Management Associates, Inc.
- 9. 5 Critical SuccessFactors Slide 9
- 10. 1. Tying embeddedanalytics to strategic business goals and planning Slide 10 © 2017 Enterprise Management Associates, Inc. Identify Strategic Goals Understand How Data Fits Develop A Data Driven Approach Tie Data To Business Initiatives Leverage Analytics For Constant Visibility
- 11. 1. Tying embeddedanalytics to strategic business goals and planning Slide 11 © 2017 Enterprise Management Associates, Inc. What information and metrics are required to manage the process? How are data and business processes interrelated? What information is needed to manage business processes? What actions need to take place for deviations or missed targets? What information is tied to strategic business goals?
- 12. 2. Focus oninformation visibility across the organization Slide 12 © 2017 Enterprise Management Associates, Inc.
- 13. 2. Address datasilos Slide 13 © 2017 Enterprise Management Associates, Inc.
- 14. 3. Ensure betterdata access • Making sure data is consolidated only provides value if it is available to users in the way they require • Looking at self-service in a way that meets needs of user groups • Information needs to be easy to get to – both in terms of self-service and visibility/transparency based on who needs what information • Embedded provides this type of capability providing embedded is delivered with these considerations in mind Slide 14 © 2017 Enterprise Management Associates, Inc.
- 15. 3. A littleabout self-service Slide 15 © 2017 Enterprise Management Associates, Inc.
- 16. 4. Real-time value •Latency has always been an issue for companies • Embedded analytics provide real-time access and give users instant access to data/analytics • Historic reports only provide part of the picture for trends or planning but not for operational analytics or efficiencies • Operational BI enables constant business visibility to what is happening within specific processes • Organizations cannot wait until after the fact to get the visibility into operations they need Slide 16 © 2017 Enterprise Management Associates, Inc.
- 17. 5. Constant visibility •Real time access leads to constant visibility • Organizations understand what is happening as it is happening and can become more proactive. • Identify potential risks more proactively • Take action when issues occur • Evaluate factors of performance Slide 17 © 2017 Enterprise Management Associates, Inc.
- 18. 5. Real-time forembedded BI Slide 18 © 2017 Enterprise Management Associates, Inc.
- 19. Takeaways Slide 19 ©2014 Enterprise Management Associates, Inc. • Embedded BI can enhance a broader analytics program and provide operational insights • Organizations need to align their business strategy with their data access • Evaluate the type of embedded analytics that work best by targeting the level of self-service access • Identify the latency required to meet business needs • Leverage embedded analytics to increase overall information visibility
- 20. Embedded BI andAnalytics The Information Builders Approach 20 Jake Freivald VP, Product Marketing
- 21. Better Data. BetterAnalytics. Information Builders
- 22. 22 Data Quality Data Governance Master Data Management Integrity Integration Batch ETLReal-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
- 23. 23 Data Quality Data Governance Master Data Management Integrity Integration Batch ETLReal-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
- 24. IT Developers ManagementOperational 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
- 25. IT Developers ManagementOperational 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
- 26. Embedded BI For CommercialPortals 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 26 Some technical details
- 27. Information Builders understands theeconomics 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 27 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
- 28. WebFOCUS at ChromeRiver 28 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
- 29. Don’t Take OurWord For It 29
- 30. Additional Resources 30 Videos What isEmbedded 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
Editor's Notes
- #7 Gaining buy-in requires quick wins. Some organizations have BI-related initiatives and others need to get buy-in through success Get quick wins – easier said than done – how do organizations do this. Building small dashboards or analytics access based on a single business challenge and grow from there
- #8 Call center command center with manager access to real-time Manufacturing – automated tracking and management of quality control Value added services to customers and/or visibility for suppliers and partners
- #9 Both for customer facing and internal embedded
- #11 Data is important for any organization and is a tool for success Companies need to identify what their key strategic goals are, what they require to plan accordingly and how/where data fits What information and metrics they need to manage the process How data and business processes interrelate and the information needed to manage processes What actions will take place for deviations or missed targets Need to develop a data-driven approach to business so that information assets are directly tied to business initiatives and goals
- #12 Companies need to identify what their key strategic goals are, what they require to plan accordingly and how/where data fits
- #13 Customer 360/Sales/Supply Chain Silos limit visibility and action Common example is Customer 360 – need to consolidate information to understand behavior and interactions to provide better service Same for sales and supply chain, etc.
- #14 Customer 360/Sales/Supply Chain Silos limit visibility and action Common example is Customer 360 – need to consolidate information to understand behavior and interactions to provide better service Same for sales and supply chain, etc.
- #15 Making sure data is consolidated only provides value if it is available to users in the way they require Looking at self-service in a way that meets needs of user groups – different people interact with analytics in a variety of ways, based on business need, technical know-how, etc. Information needs to be easy to get to – both in terms of self-service and visibility/transparency based on who needs what information Embedded provides this type of capability providing embedded is delivered with these considerations in mind
- #16 Different types of users – therefore self-service can mean different things – traditional example above but extends to internal embedded vs external customers, etc. Interactivity with data, etc.
- #19 Real time access leads to constant visibility Organizations understand what is happening as it is happening and can become more proactive. Identify potential risks more proactively The reality is that there are different requirements for analytics – embedded creates an important aspect but may not be the whole picture