Breaking
Down BI
Barriers
Timo Elliott
SAP Innovation Evangelist
@timoelliott
© 2014 SAP AG. All rights reserved. 2
Analytics Moves To The Core
© 2014 SAP AG. All rights reserved. 3
Four Biggest Barriers to Effective Business Intelligence
AgilityData
Simplicity Peop...
© 2014 SAP AG or an SAP affiliate company. All rights reserved. 4
DATA
© 2014 SAP AG. All rights reserved. 5
So Much Data, So Little Information
Source: BARC 2014
© 2014 SAP AG. All rights reserved. 6
The Datification of Books
© 2014 SAP AG. All rights reserved. 7
Process data
Human data
Machine data
© 2014 SAP AG. All rights reserved. 8Source: Forrsights Strategy Spotlight: Business Intelligence And Big Data, Q4 2012
Un...
© 2014 SAP AG. All rights reserved. 9
Medtronic
Combine structured and
unstructured data for
business value
© 2014 SAP AG. All rights reserved. 10
The Datification of Beer
© 2014 SAP AG or an SAP affiliate company. All rights reserved. 11
Point of Sale Explorer
© 2014 SAP AG. All rights reserved. 12
Edward James Snowden
Edward Joseph Snowden
© 2014 SAP AG. All rights reserved. 13
© 2014 SAP AG. All rights reserved. 14
Data Quality For Business People
Redundancy
Profiling
 Address Profiling
 Validat...
© 2014 SAP AG. All rights reserved. 15
Using Analytics To Track (And Expose!) Data Quality
Data
quality
score
metrics
Late...
© 2014 SAP AG. All rights reserved. 16
Data Wrangling and Self-Service ETL
© 2014 SAP AG. All rights reserved. 17
Metadata
Getting people to
use the terms for
the same
calculations takes
hard work
...
© 2014 SAP AG. All rights reserved. 18
Using Analytics To Track Analytics
© 2014 SAP AG or an SAP affiliate company. All rights reserved. 19
AGILITY
© 2014 SAP AG. All rights reserved. 20
Information Becomes a Profit Center
Real-time, highly
personalized
Business Ownersh...
© 2014 SAP AG. All rights reserved. 21
Off-Road BI
Agile Data Discovery and Visualization
© 2014 SAP AG. All rights reserved. 24
It’s All Good
Traditional Business
Intelligence
✓
Trusted, reliable, collaborative
...
26© 2014 SAP AG or an SAP affiliate company. All rights reserved.
Smoothly Accelerate Through the BI Lifecycle
© 2014 SAP AG or an SAP affiliate company. All rights reserved. 27
Supporting The Analytics Lifecycle
© 2014 SAP AG. All rights reserved. 28
BI And Analytics Market Shares 2013
21.3%
13.9%
12.7% 11.8%
9.6%
SAP Oracle IBM SAS...
© 2014 SAP AG or an SAP affiliate company. All rights reserved. 30
The Datification of Beer
Weissbeerger Beverage Analytics
© 2014 SAP AG or an SAP affiliate company. All rights reserved. 31
SIMPLICITY
© 2014 SAP AG or an SAP affiliate company. All rights reserved. 32
Simplification
SOCIAL
ANALYTICS
MOBILE
APPLICATIONS
CLO...
© 2014 SAP AG. All rights reserved. 33
Simple…
© 2014 SAP AG. All rights reserved. 34
© 2014 SAP AG. All rights reserved. 35
Where Should You Look For Big Data Technology?
Source: Wikibon
© 2014 SAP AG. All rights reserved. 36
Single integrated analytics platform
Simplify Everything To Achieve Anything
Data
I...
© 2014 SAP AG. All rights reserved. 37
Big Data Platforms
© 2014 SAP AG. All rights reserved. 38
Smart Data Access
Remote data access like “local” data
No special syntax to access ...
© 2014 SAP AG. All rights reserved. 39
Here Comes HTAP
© 2014 SAP AG. All rights reserved. 40
Imagine if Your Apps Looked Like a DW to BI Tools
SAP HANA
SAP HANA
Live
(Virtual
D...
© 2014 SAP AG or an SAP affiliate company. All rights reserved. 41
SAP HANA Platform
Analyze Predict Sense
Industry Innova...
© 2014 SAP AG or an SAP affiliate company. All rights reserved. 43
PEOPLE
© 2014 SAP AG. All rights reserved. 44
Benefits from Big Data Initiatives
Source: Information Difference Research Study: “...
© 2014 SAP AG. All rights reserved. 45
Culture and Process is a Great Investment
All management sees is what you’ve been s...
© 2014 SAP AG. All rights reserved. 46
Invest in Skills
© 2014 SAP AG or an SAP affiliate company. All rights reserved. 47
Analytics Collaboration
48© 2014 SAP AG or an SAP affiliate company. All rights reserved.
Big Data
Without
Big Brother
© 2014 SAP AG. All rights reserved. 49
Own analytics problem
Even if it doesn’t require “IT infrastructure”
Revenue genera...
© 2014 SAP AG. All rights reserved. 50
Conclusion
AgilityData
Simplicity People
© 2014 SAP AG or an SAP affiliate company. All rights reserved.
Thank you!
Timo Elliott
SAP Innovation Evangelist
timo.ell...
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Breaking Down Barriers to Business Intelligence

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Breaking down the biggest barriers to successful business intelligence -- data, agility, simplicity, and people

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Breaking Down Barriers to Business Intelligence

  1. 1. Breaking Down BI Barriers Timo Elliott SAP Innovation Evangelist @timoelliott
  2. 2. © 2014 SAP AG. All rights reserved. 2 Analytics Moves To The Core
  3. 3. © 2014 SAP AG. All rights reserved. 3 Four Biggest Barriers to Effective Business Intelligence AgilityData Simplicity People
  4. 4. © 2014 SAP AG or an SAP affiliate company. All rights reserved. 4 DATA
  5. 5. © 2014 SAP AG. All rights reserved. 5 So Much Data, So Little Information Source: BARC 2014
  6. 6. © 2014 SAP AG. All rights reserved. 6 The Datification of Books
  7. 7. © 2014 SAP AG. All rights reserved. 7 Process data Human data Machine data
  8. 8. © 2014 SAP AG. All rights reserved. 8Source: 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 don’t use most of their data
  9. 9. © 2014 SAP AG. All rights reserved. 9 Medtronic Combine structured and unstructured data for business value
  10. 10. © 2014 SAP AG. All rights reserved. 10 The Datification of Beer
  11. 11. © 2014 SAP AG or an SAP affiliate company. All rights reserved. 11 Point of Sale Explorer
  12. 12. © 2014 SAP AG. All rights reserved. 12 Edward James Snowden Edward Joseph Snowden
  13. 13. © 2014 SAP AG. All rights reserved. 13
  14. 14. © 2014 SAP AG. All rights reserved. 14 Data Quality For Business People 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
  15. 15. © 2014 SAP AG. All rights reserved. 15 Using Analytics To Track (And Expose!) Data Quality Data quality score metrics Latest quality score Quality trend over time / run Key Quality Dimensions (KPI for data), customizable
  16. 16. © 2014 SAP AG. All rights reserved. 16 Data Wrangling and Self-Service ETL
  17. 17. © 2014 SAP AG. All rights reserved. 17 Metadata Getting people to use the terms for the same calculations takes hard work (but master data management tools can help keep it consistent)
  18. 18. © 2014 SAP AG. All rights reserved. 18 Using Analytics To Track Analytics
  19. 19. © 2014 SAP AG or an SAP affiliate company. All rights reserved. 19 AGILITY
  20. 20. © 2014 SAP AG. All rights reserved. 20 Information Becomes a Profit Center Real-time, highly personalized Business Ownership Product  Customer Experience Iterative, ever- changing
  21. 21. © 2014 SAP AG. All rights reserved. 21 Off-Road BI
  22. 22. Agile Data Discovery and Visualization
  23. 23. © 2014 SAP AG. All rights reserved. 24 It’s All Good Traditional Business Intelligence ✓ Trusted, reliable, collaborative Data Discovery ✓ Fast, flexible, business-driven Governed Data Discovery ✓✓
  24. 24. 26© 2014 SAP AG or an SAP affiliate company. All rights reserved. Smoothly Accelerate Through the BI Lifecycle
  25. 25. © 2014 SAP AG or an SAP affiliate company. All rights reserved. 27 Supporting The Analytics Lifecycle
  26. 26. © 2014 SAP AG. All rights reserved. 28 BI And Analytics Market Shares 2013 21.3% 13.9% 12.7% 11.8% 9.6% SAP Oracle IBM SAS Institute Microsoft Source: http://www.gartner.com/newsroom/id/2723717 “Half of BI and analytics spend will be business driven, half of new license spend will be driven by data discovery requirements, and half of organizations will consider deploying BI in the cloud”
  27. 27. © 2014 SAP AG or an SAP affiliate company. All rights reserved. 30 The Datification of Beer Weissbeerger Beverage Analytics
  28. 28. © 2014 SAP AG or an SAP affiliate company. All rights reserved. 31 SIMPLICITY
  29. 29. © 2014 SAP AG or an SAP affiliate company. All rights reserved. 32 Simplification SOCIAL ANALYTICS MOBILE APPLICATIONS CLOUD NETWORKS SOCIAL ANALYTICS MOBILE APPLICATIONS CLOUD NETWORKS
  30. 30. © 2014 SAP AG. All rights reserved. 33 Simple…
  31. 31. © 2014 SAP AG. All rights reserved. 34
  32. 32. © 2014 SAP AG. All rights reserved. 35 Where Should You Look For Big Data Technology? Source: Wikibon
  33. 33. © 2014 SAP AG. All rights reserved. 36 Single integrated analytics platform Simplify Everything To Achieve Anything Data Integration, Data Quality Data Warehouse Business Intelligence Reporting Predictive Analytics Text Analytics CEP, Planning, Geo, etc Mobile Cloud Applications
  34. 34. © 2014 SAP AG. All rights reserved. 37 Big Data Platforms
  35. 35. © 2014 SAP AG. All rights reserved. 38 Smart Data Access Remote data access like “local” data No special syntax to access heterogeneous data sources Smart query processing pushing as much processing as possible to target data source Functional compensation allows customers to use the full power of the HANA Automatic data type translation enables remote data types to be mapped to HANA data types Data location agnostic development SAP HANA Remote Data Sources HANA Tables End User Query Virtual Tables Analytical and Transactional Applications Teradata Hadoop SAP HANA ASE IQ
  36. 36. © 2014 SAP AG. All rights reserved. 39 Here Comes HTAP
  37. 37. © 2014 SAP AG. All rights reserved. 40 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
  38. 38. © 2014 SAP AG or an SAP affiliate company. All rights reserved. 41 SAP HANA Platform Analyze Predict Sense Industry Innovation Business Applications Cloud Store Mobile & deviceDatabase AnalyticsMiddleware Build an Innovation Factory
  39. 39. © 2014 SAP AG or an SAP affiliate company. All rights reserved. 43 PEOPLE
  40. 40. © 2014 SAP AG. All rights reserved. 44 Benefits from Big Data Initiatives Source: Information Difference Research Study: “Big Data Revealed”
  41. 41. © 2014 SAP AG. All rights reserved. 45 Culture and Process is a Great Investment All management sees is what you’ve been spending on technology. Getting management involved, linking BI to strategy, is hard — but low-cost, and very valuable. Breadth and Sophistication of Analytics PercentageofUsersusinganalytics The Analysis Gap Huge opportunity to make business people more productive and efficient, increase their satisfaction, save money for the company, and drive more revenue.
  42. 42. © 2014 SAP AG. All rights reserved. 46 Invest in Skills
  43. 43. © 2014 SAP AG or an SAP affiliate company. All rights reserved. 47 Analytics Collaboration
  44. 44. 48© 2014 SAP AG or an SAP affiliate company. All rights reserved. Big Data Without Big Brother
  45. 45. © 2014 SAP AG. All rights reserved. 49 Own analytics problem Even if it doesn’t require “IT infrastructure” Revenue generation opportunities Sell need for integrated approach Avoid “tragedy of the commons” Service-bureau oriented Tools bureau Data bureau Data science expertise Lifecycle / scaling Self-service & Sandboxing Analytics collaboration IT no longer gets a veto! BI Competency Centers For The 21st Century
  46. 46. © 2014 SAP AG. All rights reserved. 50 Conclusion AgilityData Simplicity People
  47. 47. © 2014 SAP AG or an SAP affiliate company. All rights reserved. Thank you! Timo Elliott SAP Innovation Evangelist timo.elliott@sap.com Business Analytics Blog: TimoElliott.com Twitter: @timoelliott

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