Getting Value from Big Data with Analytics

Transcription

1 Getting Value from Big Data with Analytics Edward Roske, CEO Oracle ACE Director BLOG: LookSmarter.blogspot.com WEBSITE: TWITTER: Eroske

2 About interrel Reigning Oracle Award winner EPM & BI Solution of the year Three Oracle ACE Directors Authors of 10+ of the Best Selling books on Hyperion & Essbase Oracle Platinum Partner One of the 100 fastest growing tech companies in the USA (CRN Magazine) One of the fastest growing companies in USA (Inc. Magazine 2007-present) Press Support Infra structure Strategy Training Consulting Founded in 1997, we are the longest-standing, Oracle EPM/BIdedicated partner in the world

3 10+ Best Selling Hyperion Books 3 New Hyperion Planning Books! Planning / : Creating Applications Planning / : Advanced Planning Planning / : End User s Guide Smart View : End User Guide Essbase Studio Essbase 11: Admin Guide Visit interrel.com, to purchase these titles & more! An

4 ? What is Big Data?

5 What Are Questions We Can Answer Without Big Data? C IO D ir e c to r o f T e c h n o lo g y S y s te m s A r c h ite c tu re Do we have the money to fund this? Did our initiatives increase shareholder value? C F O V P F in a n c e C o r p o r a te P la n n in g F in a n c ia l A n a ly s t C o n tr o lle r C E O V P S a le s How much did it increase profit? R e g io n a l V P S a le s D ir e c to r S a le s D ir e c to r R e g io n a l V P V P M a r k e tin g D ir., P r o d u c t M a r k e tin g How much will it increase sales? Can we plan a mid-year Promotion? M a r k e t M a n a g e r P r o d u c t M a n a g e r D ir e c to r, P u b lic R e la tio n s Can we support the additional production? V P O p e r a tio n s M a n u fa c tu r in g D ir e c to r P r o d u c tio n M a n a g e r P r o d u c tio n M a n a g e r D ir e c to r, L o g is tic s B u d g e t D ir e c to r D ir. F in a n c ia l R e p o r tin g S a le s D ir e c to r S a le s D ir e c to r D ir e c to r, C r e a tiv e S e r v ic e s Can we handle the distribution?

6 What Are Questions We Need Big Data To Answer? Why do our computers crash all the time? C IO Is the board of directors about to terminate me? C F O C E O V P S a le s What are people saying about our product? V P M a r k e tin g Why are we having so much machine downtime? V P O p e r a tio n s D ir e c to r o f T e c h n o lo g y V P F in a n c e R e g io n a l V P D ir., P r o d u c t M a r k e tin g M a n u fa c tu r in g D ir e c to r S y s te m s A r c h ite c tu re Is their fraud going on in our financials? C o r p o r a te P la n n in g F in a n c ia l A n a ly s t C o n tr o lle r S a le s D ir e c to r S a le s D ir e c to r R e g io n a l V P Do we have the right mix of products? M a r k e t M a n a g e r P r o d u c t M a n a g e r D ir e c to r, P u b lic R e la tio n s P r o d u c tio n M a n a g e r P r o d u c tio n M a n a g e r D ir e c to r, L o g is tic s B u d g e t D ir e c to r D ir. F in a n c ia l R e p o r tin g S a le s D ir e c to r S a le s D ir e c to r D ir e c to r, C r e a tiv e S e r v ic e s Why are shipments being delayed?

7 What Does Big Data Mean to You?

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9 What Are The Two Types of Data? Structured Data Unstructured Data

10 Structured Where Does Big Data Come From? Unstructured

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12 What Are the V s of Big Data? Volume Scale of Data Velocity Speed of Data Variety Forms of Data Veracity Uncertainty of Data

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14 How Do I Get Value From Big Data?

15 ? How Do We Analyze Big Data?

16 How Do We Get Data to End Users? Dashboards Adhoc Report Books Mobile Office Self Service Business Intelligence DATA GL Financial HR Sales Distribution Custom

17 What Do End Users Want From an Interface? Consistent Easy to use Interactive Flexible Fast Seamless Efficient Thin client Minimal training required

18 ? How Does Oracle Handle Analyzing Big Data?

19 BI / EPM Applications BI/EPM Platform Data Sources Oracle Business Intelligence Foundation Suite Planning & Forecasting Financial Close and Reporting Strategy Management Profitability Management ERP Analytics CRM Analytics Industry Analytics Query & Analysis Interactive Dashboards Scorecards Reporting & Publishing Office Integration Search Detect Embedded Mobile & Alert BI Server Common Enterprise Information Model Essbase Endeca Dimension Management OLTP & ODS Systems Data Warehouses Data Marts Exadata OLAP Sources Packaged Applications (Oracle, SAP, Others) Unstructured & Semi-Structured Excel XML/Office Business Processes

20 Glimpse into OBIEE

21 Glimpse into OBIEE

22 Glimpse into OBIEE

23 Glimpse into OBIEE

24 Glimpse into OBIEE

25 Glimpse into OBIEE

26 Oracle BI Mobile Application Designer

27 Mobile Reports

28 ? What Are the Steps to Integrate Oracle BI With Big Data?

29 1. Assess the current state of your data Assess and understand your biggest pain points and needs E.g. Collecting information from too many sources and systems for consistent reporting? E.g. Putting adhoc analysis and advanced analytics in the hands of end users, replacing SQL generated reports? Other important questions Where is data stored? Where should I store data? How many sources? Do I have a data warehouse? Is it complete? What are the query performance requirements? What are the requirements for the timing of data delivery (e.g. real-time, nightly)? What are the subject areas? What do the reports look like? What is the time frame for implementation? Who are my users and what do they need to be able to do? How do users need to visualize and analyze data? What calculations and business rules need to be included? Are write back capabilities required?

30 2. Prioritize and Plan Prioritize the requirements this will help you understand where your focus should be Take a phased approach in the implementation and remember you don t have to build everything at once Build the right team Ensure communication between data warehouse resources, unstructured data resources, and BI resources You are all on the same Information Delivery team! Work together! Start small Subject area in BI Server, Essbase, or Endeca

31 And Finally 3. Implement / Show Success Next Phases / Continual Improvement

32 In Summary

33 Solving Common Data Access Issues Common Data Access Issues The Solution No single strategy for information delivery IT vs. end user queries Silos of information Limited visibility Limited correlations Different end user needs Business Intelligence along with your data warehouse and unstructured data delivers a complete information delivery system Common workspace with user friendly tools puts reporting and analysis in the hands of end users BI delivers a common enterprise model to eliminate silos of information across databases and systems BI provides better visibility to key metrics and factors that drive business performance BI provides a way to correlate relevant information across database and systems A common workspace provides information access for both advanced and basic end users. BI allows customizations to different end user groups sourced from the common enterprise model.

34 Common Data Warehouse Issues Common DW Issues Time consuming data warehouse changes Can t handle unstructured data Data latency The Solution Incorporate changes and new sources to the data warehouse in BI layer (virtually) vs. in your data warehouse (physically). Immediate reporting access for new sources as they are included in logical schemas or through information discovery Use Hadoop to house data or just mine the data through your BI layer. Provide real time / near real time access with Business Intelligence Costly aggregate structures Ever changing Business Definitions Common dimensions and common definitions OLAP s main purpose in life is to store aggregated data for fast reporting and analysis. Remove aggregations from the DW and use OLAP. BI provides a model for easy updates to business definitions Business Intelligence provides a common enterprise model for information while allowing for customized presentations and views of end user specific terms and dimensions

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36 Getting Value from Big Data with Analytics Edward Roske, CEO Oracle ACE Director BLOG: LookSmarter.blogspot.com WEBSITE: TWITTER: Eroske