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How to Empower Your Business Users with Oracle Data Visualization


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With Oracle Data Visualization Cloud Service, your business users can perform self-service analytics, spot patterns, trends, correlations, and construct visual data stories for greater insight into how your product, service, or organization is performing.

In this webinar, we demonstrated how easily users can explore their data in new and different ways through stunning visualizations automatically, promoting self-service discovery.

Discussion included:

-In-depth review of Oracle Data Visualization Cloud Service
-Connecting different data sets like HCM, ERP, Sales Cloud and more
-Mobile and security
-Demo taking a real-world business use case from end to end

Published in: Technology
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How to Empower Your Business Users with Oracle Data Visualization

  1. 1. How to Empower Your Business Users with Oracle Data Visualization
  2. 2. Shiv Bharti Practice Director, Oracle Business Analytics Mazen Manasseh Senior Solutions Architect, Oracle Business Analytics
  3. 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. 4 About Perficient Perficient is the 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. 5 Perficient Profile • Founded in 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. 6 Perficient’s BI Practice Fast Facts • 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. 7 "Organizations that analyze all 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. 8 Many Shifts Happening Simultaneously • 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. 9 Building Your Intelligence Mesh • 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. 10 Liberate All Data From 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. 11 Improve All Data with 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. 12 Find Hidden Patterns with 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. 13 Talk to Your Data 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. 14 Tell Better Stories with 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. 15. Governed Self Service at Enterprise Scale
  16. 16. 16 The Pivot to Self 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. 17 Enterprise BI and Visual Exploration Silos Business User Friendly Ease of use, Agile, Self-service IT Friendly Governance, Singular semantic, Enterprise ready OR
  18. 18. 18 Oracle Business Intelligence Business User Friendly Ease of use, Agile, Self-service IT Friendly Governance, Singular semantic, Enterprise ready AND
  19. 19. 19 Data Visualization with Essbase 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
  20. 20. Demo Slides
  21. 21. 21 Data Visualization in 4 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. 22 Built-In Connection Adapters On-prem or Cloud Databases | Essbase | Big Data Sources | Cloud Applications (SaaS)
  23. 23. 23 Data Flows Data preparation allows for transforming input data by joining multiple sources, removing columns, adding new calculated values, aggregating and grouping data, and applying filtering criteria.
  24. 24. 24 Imported Data - Table Layout
  25. 25. 25 Automated Visual Data Discovery 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. 26 Rich Library of Visualizations  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
  27. 27. 27 Example Overview Summary
  28. 28. 28 Profit Ratios by Product Categories
  29. 29. 29 Revenue Trending Analysis
  30. 30. 30 Binning Customer Profit
  31. 31. 31 Scatter Visual
  32. 32. 32 Geographical Analysis
  33. 33. 33 Custom Maps
  34. 34. 34 Chord & Network Diagrams
  35. 35. 35 Network Diagram
  36. 36. 36 Sankey & Tree Diagrams
  37. 37. 37 Timeline Visualization
  38. 38. Advanced Analytics
  39. 39. 39 Built-In Advanced Analytics Functions  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.
  40. 40. 40 Clustering
  41. 41. 41 Binning for Customer Demographics
  42. 42. 42 Binning Heat Maps
  43. 43. 43 Outlier Detection
  44. 44. 44 Trending with Regression Analysis
  45. 45. 45 Forecasting Models
  46. 46. 46 Forecasting by Category
  47. 47. 47 Association Rules Mining – Market Basket Analysis
  48. 48. 48 Embedded R Visualization
  49. 49. 49 Social Media - Sentiment Analysis
  50. 50. 50 Custom R Scripts for Sentiment Analysis
  51. 51. 51 Possibilities with Oracle Analytics Cloud
  52. 52. 52 Cloud Analytics… Where to 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. 53. Questions Type your question into the chat box
  54. 54. 54 Next up: Kscope17 San Antonio, TX June 25-29, 2017 Follow Us Online • • • •
  55. 55. Thank You