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How to Empower Your Business Users with Oracle Data Visualization
The document presents insights on empowering business users through Oracle Data Visualization, highlighting Perficient's capabilities in digital transformation and analytics. It outlines the importance of building an 'intelligence mesh' to leverage all data sources, enhance self-service analytics, and improve decision-making processes. Key features include easy data connection, powerful data preparation, and advanced visualization options for comprehensive data analysis.
How to Empower Your Business Users with Oracle Data Visualization
- 1. How to EmpowerYour Business Users with Oracle Data Visualization
- 2. Shiv Bharti Practice Director, OracleBusiness Analytics [email protected] Mazen Manasseh Senior Solutions Architect, Oracle Business Analytics [email protected]
- 3. 3 Agenda • About Perficient •Shifts happening today • Building your intelligence Mesh • All data from all sources • Collective Intelligence • Connect & Prepare • See & Detect • Learn & Share • Governed Self Service at Enterprise Scale • Demo • Q&A
- 4. 4 About Perficient Perficient isthe leading digital transformation consulting firm serving Global 2000 and enterprise customers throughout North America. With unparalleled information technology, management consulting, and creative capabilities, Perficient and its Perficient Digital agency deliver vision, execution, and value with outstanding digital experience, business optimization, and industry solutions.
- 5. 5 Perficient Profile • Foundedin 1997 • Public, NASDAQ: PRFT • 2016 revenue $487 million • Major market locations: Allentown, Atlanta, Ann Arbor, Boston, Charlotte, Chattanooga, Chicago, Cincinnati, Columbus, Dallas, Denver, Detroit, Fairfax, Houston, Indianapolis, Lafayette, Milwaukee, Minneapolis, New York City, Northern California, Oxford (UK), Southern California, St. Louis, Toronto • Global delivery centers in China and India • Nearly 3,000 colleagues • Dedicated solution practices • ~95% repeat business rate • Alliance partnerships with major technology vendors • Multiple vendor/industry technology and growth awards
- 6. 6 Perficient’s BI Practice FastFacts • Practice Started: 2004 • Projects Completed: 400+ • Management Team: 14 years • 60% of consultants former Oracle Eng. • Oracle Authorized Education Center • Oracle BI Apps, OBIEE, ODI • Perficient runs its business on Oracle BI • Proven implementation methodology Solutions Expertise • BI/DW strategy and assessments • OBIEE and Oracle BI Apps • Cloud & on-premises solutions • Custom data warehouse services • Master Data Management • Data integration, discovery, big data • Exadata & Exalytics • Oracle Golden Gate Oracle Specializations
- 7. 7 "Organizations that analyzeall relevant data and deliver actionable information will achieve an extra $430 billion in productivity gains over their less analytically oriented peers by 2020.” - IDC
- 8. 8 Many Shifts HappeningSimultaneously • Need for data in daily decisions is pervasive • Business leaders expect more than dashboards and reports • Analytic proficiencies are improving in every department • Standalone visualization tools running out of gas • Cloud adoption is accelerating, but most data still on-premises
- 9. 9 Building Your IntelligenceMesh • Find Hidden Patterns • Build Collective Intelligence • Liberate All Data • Create Agile Enterprise • Adapt to Your Needs Oracle’s Strategy Copyright © 2016, Oracle COLLECTIVE INTELLIGENCE SEE & DETECT CONNECT & PREPARE MODEL & BUILD DEPLOY & SCALE LEARN & SHARE Consumers Business Analysts Developers
- 10. 10 Liberate All DataFrom All Sources CONNECT & PREPARE Easy access to a variety of data sources • Few clicks to set up and use • Vast number of sources supported • Will expand coverage to enable access to every industry-specific source via native connectors or developer community In-line and “extract and analyze” • IP built over two decades in function shipping (source-specific code generation) and internal execution now powers business user self-service SAAS / PAAS DATABASES BIG DATA NO SQL OTHERSCopyright © 2016, Oracle
- 11. 11 Improve All Datawith Powerful Data Prep CONNECT & PREPARE Copyright © 2016, Oracle Power of SQL via intuitive interfaces • Group values, join data sets, sub-select rows/columns, aggregate, calculated fields etc. Applicable to all types and volumes of data • BI Server SQL processing - function shipping via smart code generation, compensate with in-memory execution Function extensibility via R and source execution • Full R grammar for statistical, Machine Learning, textual models • Reach-in to data sources’ specific routines (eg. Machine Learning in Spark, custom functions) while operating on a single data abstraction
- 12. 12 Find Hidden Patternswith Smart Data Discovery Automatic detection of data patterns • Guide users towards strongest correlated factors and variances from norm Auto-blending, intelligent visualizations • Easy blending of data sets with the most appropriate handling to avoid double counting (fan-trap, chasm-trap) • Auto-default to the appropriate visualization for a given data set Search enablement everywhere • Powers the BI ASK experience (covered later) • Type ahead in expression editor, data set browser etc. Copyright © 2016, Oracle SEE & DETECT
- 13. 13 Talk to YourData with BI Ask Powerful, intuitive keyword search • Interprets semantic layer, user private data, expression library and catalog artifacts • Voice-enabled • Fuzzy match, stemming, natural language processing • Generates on-the-fly queries - visualizations are auto-created while user types • Mobile • Browser • Desktop Available on all platforms Copyright © 2016, Oracle SEE & DETECT
- 14. 14 Tell Better Storieswith Your Findings LEARN & SHARE Interactive data storytelling • Evaluate each story point, “kick the tires” and validate conclusions • Presentation mode enables focus on the story point, while offering complete interactivity • Freeform text and images enable in-place discussions Consume anywhere • Mobile, desktop and browser • Native integration with mobile platforms to enable seamless hand-offs, screen-shares, and more Copyright © 2016, Oracle
- 15. Governed Self Serviceat Enterprise Scale
- 16. 16 The Pivot toSelf Service Proven Answers to Anticipated Questions Analytic Value: Enduring Audience: The Enterprise Project Type: Proactive / Known Requirements Fast Answers to Unanticipated Questions Analytic Value: Immediate Audience: Specific to Individual / Group Project Type: Reactive / Shifting Requirements EBS, CRM, EDW Oracle Common Enterprise Information Model Production Reports and Dashboards Data Silos, Personal Files, External Content Agile Data Mash Up Self-Service Discovery Apps Leverage Existing Assets Share Powerful Infrastructure LOB Driven (top down) IT Driven (bottom up) BI Applications
- 17. 17 Enterprise BI andVisual Exploration Silos Business User Friendly Ease of use, Agile, Self-service IT Friendly Governance, Singular semantic, Enterprise ready OR
- 18. 18 Oracle Business Intelligence BusinessUser Friendly Ease of use, Agile, Self-service IT Friendly Governance, Singular semantic, Enterprise ready AND
- 19. 19 Data Visualization withEssbase Options From Smart View • Connecting from Excel • DV connector to Essbase • Current only available against Essbase Cloud Service • Support for On-prem EPM 11.2.3.x planned in the future • Connecting with OBIEE OBIEE Oracle Analytics Cloud Copyright © 2016, Oracle
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- 21. 21 Data Visualization in4 Steps Connect to Cloud and on-prem systems leveraging built-in adapters Data Flows for built-in data preparation Visualize using a rich library of visuals Narrate by building and sharing storylines
- 22. 22 Built-In Connection Adapters On-premor Cloud Databases | Essbase | Big Data Sources | Cloud Applications (SaaS)
- 23. 23 Data Flows Data preparationallows for transforming input data by joining multiple sources, removing columns, adding new calculated values, aggregating and grouping data, and applying filtering criteria.
- 24. 24 Imported Data -Table Layout
- 25. 25 Automated Visual DataDiscovery More sales order revenue from High-priority orders Discovered annual trend in Profit November is the peak month for profit Single click for data discovery
- 26. 26 Rich Library ofVisualizations Bar Graph Scatter Graph Line Graph Area Graph Line-Bar Combo Graphs Pie/Donut Chart Tiles Pivot Table Tree Map Sunburst Geographical Map Radar Line/Area/Bar Chart Tag Cloud Timeline Visual Parallel Coordinates Chord Diagram Network Diagrams Sankey Diagram Tree Diagram
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- 28. 28 Profit Ratios byProduct Categories
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- 34. 34 Chord & NetworkDiagrams
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- 36. 36 Sankey & TreeDiagrams
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- 39. 39 Built-In Advanced AnalyticsFunctions Clustering: Multiple classification models Example: Customer segmentation for marketing campaigns Outlier Detection: Supports multiple algorithms (K-Means, H-Clustering, Multi-Variate Outlier). Example: Underperforming or Overachieving stores Regression Analysis for Trending: Linear, Exponential or Polynomial Example: Impact of discounts on sales and profit Forecast: Time series projection based on ARIMA or Exponential Smoothing models. Example: Forecast sales and include trends and seasonality.
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- 41. 41 Binning for CustomerDemographics
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- 44. 44 Trending with RegressionAnalysis
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- 47. 47 Association Rules Mining– Market Basket Analysis
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- 49. 49 Social Media -Sentiment Analysis
- 50. 50 Custom R Scriptsfor Sentiment Analysis
- 51. 51 Possibilities with OracleAnalytics Cloud
- 52. 52 Cloud Analytics… Whereto Start? 1. CONNECT TO ALL DATA (Data Hybrid) 2. ENABLE MORE USERS (Application Lift and Shift) 3. EXPAND PLATFORM FOR INNOVATION (Analytics Evolution) CHOICE
- 53. Questions Type your questioninto the chat box
- 54. 54 Next up: Kscope17 San Antonio,TX June 25-29, 2017 Follow Us Online • Perficient.com/SocialMedia • Facebook.com/Perficient • Twitter.com/PRFT_Oracle • Blogs.perficient.com/Oracle
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