top analytic trends

Download Top Analytic Trends

If you can't read please download the document

Post on 11-Aug-2014

766 views

Category:

Data & Analytics

10 download

Embed Size (px)

DESCRIPTION

Presentation given at the SAP Innovation Forum Big Data Track in Stockholm, Sweden, March 2014

TRANSCRIPT

  • Top Analytic Trends Timo Elliott, SAP Innovation Evangelist @timoelliott
  • 2014 SAP AG. All rights reserved. 2 More, More, More
  • 2013 SAP AG. All rights reserved. 3 #1
  • 2014 SAP AG. All rights reserved. 4 Process data Human data Machine data
  • 2014 SAP AG. All rights reserved. 5Source: Forrsights Strategy Spotlight: Business Intelligence And Big Data, Q4 2012 Unstructured 50TB Semi- structured 2 TB Structured 12 TB Only 12% used today Average data volume per company 9 TB 75 TB 0.6 TB 5 TB 4 TB 50 TB SMBs: LEs: Base: 634 business intelligence users and planners Companies dont use most of their data
  • 2014 SAP AG. All rights reserved. 6 What Is Big Data? The Google Summary
  • 2014 SAP AG. All rights reserved. 7 Big Data is at Peak of Inflated Expectations Source: Gartner
  • 2014 SAP AG. All rights reserved. 8 Datification 0101101100010101010 1010010101001111010 1010100101110101010 1010101001001010010 0100101110110101010
  • 2014 SAP AG. All rights reserved. 10 The Datification of Tennis
  • 2014 SAP AG. All rights reserved. 12 The Datification of Cars
  • 2014 SAP AG. All rights reserved. 13 The Datification of Cars
  • 2014 SAP AG. All rights reserved. 14 The Datification of Cars
  • 2014 SAP AG. All rights reserved. 15
  • 2014 SAP AG. All rights reserved. 17 The Datification of Airports
  • 2014 SAP AG. All rights reserved. 20 The Datification of Beer
  • 2014 SAP AG. All rights reserved. 21
  • 2014 SAP AG. All rights reserved. 22 Data-driven decision making played a huge role in creating a second term for the 44th President. In politics, the era of big data has arrived. - Time Magazine The Datification of Politics
  • 2014 SAP AG. All rights reserved. 23 Analytics is Part of the Customer Experience
  • 2014 SAP AG. All rights reserved. 24 i i i Business ownership IT ownership HBR: Analytics 3.0 Information becomes what you sell
  • 2014 SAP AG. All rights reserved. 25 The #1 Use of Big Data is Customer Analytics Source: McKinsey
  • 26 2014 SAP AG or an SAP affiliate company. All rights reserved. CUSTOMER SPOTLIGHT LOral Be a trusted advisor for customers
  • 2014 SAP AG. All rights reserved. 28 Experience Intelligence Center Event Interception Business Transformation Make People Happy
  • 2014 SAP AG. All rights reserved. 29 Make People Happy
  • 2014 SAP AG. All rights reserved. 30 Enterprise Operating Systems
  • 2014 SAP AG. All rights reserved. 31 SMAC-down! (Social, Mobile, Analytics, Cloud) Every business is an information business
  • 2014 SAP AG. All rights reserved. 32 Analytics Moves To The Core
  • 2014 SAP AG. All rights reserved. 33 Enterprise Data Lakes and Data Hubs
  • 2014 SAP AG. All rights reserved. 38 Hadoop Expands Data Warehouse Rather Than Replacing It Source: Gartner
  • 2014 SAP AG. All rights reserved. 39 Big Data Enterprise Data Warehouses
  • 2014 SAP AG. All rights reserved. 40 Perfect Your Pricing and Packaging
  • 2014 SAP AG. All rights reserved. 41 Data Warehouse? Yes, But Logical
  • 2014 SAP AG. All rights reserved. 42 Imagine if Your Apps Looked Like a DW to BI Tools SAP HANA SAP HANA Live (Virtual Data Model) Customer Service Risk Management Team Finance and Operations Account Administration Executive Management Customers Channel Suppliers Accounting ForecastingInventory Products Pricing Planning
  • 2014 SAP AG. All rights reserved. 43 Here Comes HTAP
  • 2014 SAP AG. All rights reserved. 44 Information Capability Framework
  • 2014 SAP AG. All rights reserved. 45 Big Data Platforms
  • 2014 SAP AG. All rights reserved. 46 SAP HANA Data Platform SAP Real-time Data Platform MPP Scale-Out 3rd Party BI Client SAP NetWeaver (On Premise / Cloud) Custom Apps SAP Business Suite SAP Business Warehouse SAP Big Data Applications SAP Analytics SAP Mobile Open Developer APIs and Protocols CommonLandscapeManagement SAP HANA PlatformSAP Sybase ASE CommonModeling SybasePowerDesigner HADOOP 3rdPartyDB SAP Sybase SQLA SAP Sybase ESP SAP Sybase IQ SAP Smart Data Services Platform SAP Sybase Replication Server SAP Data Services SAP MDG, MDM SAP SLT
  • 2014 SAP AG. All rights reserved. 48 Governed Data Discovery
  • Wikipedia Local experts Encyclopedia Britannica Encarta Collective Insight Analogy Encyclopedias
  • 2014 SAP AG or an SAP affiliate company. All rights reserved. 51Public SAP Lumira Data Discovery
  • 2014 SAP AG. All rights reserved. 57
  • 2014 SAP AG. All rights reserved. 58 Location
  • 2014 SAP AG. All rights reserved. 59
  • 2013 SAP AG. All rights reserved. 60 Custom Visualization With Lumira
  • 2014 SAP AG. All rights reserved. 61 Three Dimensions
  • 2014 SAP AG. All rights reserved. 62
  • 2014 SAP AG. All rights reserved. 63 Predictive For All
  • Descriptive: What happened? Diagnostic: Why did it happen? Predictive: What will happen? Prescriptive: How can we make it happen? Predictive reaches maturity Hindsight Insight Foresight
  • 2014 SAP AG. All rights reserved. 65 The Chauffeur Effect
  • 2014 SAP AG. All rights reserved. 66 Deliver The Right Offer To the Right Customer At The Right Time Modeling time from 3 months to 3 days Up to 4x increase in campaign response rates From product to customer marketing
  • 2014 SAP AG. All rights reserved. 67 Skyrock: Social Network Skyrock blogs is the world's 7th largest social network with 18M visitors and 1B page views every month Friends recommendations of based on likes Content recommendations Banner personalization based on clicks
  • 2014 SAP AG. All rights reserved. 68
  • 2014 SAP AG. All rights reserved. 71 Data Inte gration and Qwality Is Still The Big Problem
  • 2014 SAP AG. All rights reserved. 72 Edward James Snowden Edward Joseph Snowden
  • 2014 SAP AG. All rights reserved. 73
  • 2014 SAP AG. All rights reserved. 74
  • 2014 SAP AG. All rights reserved. 75 Advanced Profiling Redundancy Profiling Address Profiling Validate address data Dependency Profiling Identify attribute-level connections in data. (Normalization rules practice) Redundancy Profiling Identify degree of duplication Uniqueness Profiling Identify non-unique data Drill down to duplicate and non-duplicate records
  • 2014 SAP AG. All rights reserved. 76 Using Analytics To Track Data Quality Data quality score metrics Latest quality score Quality trend over time / run