five critical success factors for embedded analytics
TRANSCRIPT
Five critical success factors for embedded analytics
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
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Why Embedded Analytics?
Slide 3
Traditional Business Intelligence vs. Embedded Analytics
Embedded AnalyticsEase of useBroad deployment Intuitive self-serviceSupports agilityEasy to reach customersReal-time operational access
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Traditional AnalyticsLimited reach within organization
Pre-defined analytics
Information silos
Longer times to delivery
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 businessAssumption of trust – developed to take into account business scenarios, rules, and processes
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Gaining Buy-In And Selling The Value To Project Stakeholders
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Use Cases Of Operational And Customer-Focused Embedded Analytics
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Technical requirements for embedded 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
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5 Critical Success Factors
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1. Tying embedded analytics to strategic business goals and planning
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Identify Strategic
Goals
Understand How
Data Fits
Develop A Data
Driven Approach
Tie Data To
Business Initiatives
Leverage Analytics
For Constant Visibility
1. Tying embedded analytics to strategic business goals and planning
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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?
2. Focus on information visibility across the organization
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2. Address data silos
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3. Ensure better data 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
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3. A little about self-service
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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
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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
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5. Real-time for embedded BI
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Takeaways
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• 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
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Embedded BI and Analytics
The Information Builders ApproachJake FreivaldVP, Product Marketing
Better Data. Better Analytics.Information Builders
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Data Quality
Data Governance
Master DataManagement
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-PerformanceData Store
Intelligence
Location Analytics
Casting and Archiving
In-DocumentAnalytics
SearchPredictive Analytics
Sentiment and Word Analytics
Performance Management
SocialHot
BadF
Write-Back
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Data Quality
Data Governance
Master DataManagement
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-PerformanceData Store
Intelligence
Location Analytics
Casting and Archiving
In-DocumentAnalytics
SearchPredictive Analytics
Sentiment and Word Analytics
Performance Management
SocialHot
BadF
Write-Back
IT Developers Management Operational Workers Business Partners Customers
Tools for business users & ITSelf-Service for Everyone
Business Analysts
App Studio InfoAssist+
DataDiscovery
PredictiveAnalytics
SocialIntelligence
Search
LocationIntelligence
Reporting
Dashboards
Generate & Deploy Insights
SocialHot
BadF
IT Developers Management Operational Workers Business Partners Customers
Tools for business users & IT – InfoApps™ for non-technical usersSelf-Service for Everyone
InfoApps™
Dashboards & Scorecards
Governed Self-service Reporting
Mobile InfoAppsE-Statements
Data Discovery InfoApps
Predictive InfoApps Search & Social Analytic InfoApps
Operationalize Insights & Monetize Data
Business Analysts
App Studio InfoAssist+
DataDiscovery
PredictiveAnalytics
SocialIntelligence
Search
LocationIntelligence
Reporting
Dashboards
Generate & Deploy Insights
SocialHot
BadF
Embedded BI
For Commercial Portals168/286 JSR-compliant portlets/webparts
For Custom Portals and SaaS-style Appsa. iFrame “Mashup” Style – simplestb. RESTful Web Service API – maximum control and flexibility
For Resellers, Partners, and On-Premises AppsDeliver a fully customized and styled BI service within or alongside an on-premises application
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Some technical details
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 RichChief Executive Officer
WebFOCUS at Chrome River
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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
WebFOCUS at Chrome River
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SaaS Application
CreateExpenseReport
ChromeRiver
Servers
Review/ApproveReports
ReimbursementDeposit
AccountsPayable
ClientBilling
ClientInvoices
Data exportsData imports
Clients /Matters
DailyFX Rates
CashAdvances
Credit cardTransactions
ScannedReceipts
PhoneEntries
Computer Services, Customer Since 2009
Don’t Take Our Word For It
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Additional Resources
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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