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Breaking Down BI Barriers
Timo ElliottSAP Innovation Evangelist@timoelliott
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Analytics Moves To The Core
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Four Biggest Barriers to Effective Business Intelligence
AgilityData
Simplicity People
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DATA
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So Much Data, So Little Information
Source: BARC 2014
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The Datification of Books
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Process data Human data
Machine data
© 2014 SAP AG. All rights reserved. 8Source: Forrsights Strategy Spotlight: Business Intelligence And Big Data, Q4 2012
Unstructured50TB
Semi-structured
2 TB
Structured12 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
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Medtronic
Combine structured and unstructured data for
business value
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The Datification of Beer
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Point of Sale Explorer
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Edward James Snowden
Edward Joseph Snowden
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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
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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
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Data Wrangling and Self-Service ETL
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Metadata
Getting people to use the terms for
the same calculations takes
hard work
(but master data management tools can help keep it consistent)
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Using Analytics To Track Analytics
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AGILITY
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Information Becomes a Profit Center
Real-time, highly personalized
Business Ownership
Product Customer Experience
Iterative, ever-changing
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Off-Road BI
Agile Data Discovery and Visualization
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It’s All Good
Traditional Business Intelligence ✓
Trusted, reliable, collaborative
Data Discovery
✓Fast, flexible, business-driven
Governed Data Discovery ✓✓
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Smoothly Accelerate Through the BI Lifecycle
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Supporting The Analytics Lifecycle
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BI And Analytics Market Shares 2013
SAP Oracle IBM SAS Institute Microsoft
21.3%
13.9%12.7% 11.8%
9.6%
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”
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The Datification of Beer
Weissbeerger Beverage Analytics
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SIMPLICITY
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Simplification
SOCIALANALYTICS
MOBILEAPPLICATIONS
CLOUDNETWORKS
SOCIALANALYTICS
MOBILEAPPLICATIONS
CLOUDNETWORKS
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Simple…
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Where Should You Look For Big Data Technology?
Source: Wikibon
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Single integrated analytics platform
Simplify Everything To Achieve Anything
Data Integration,
Data Quality
Data Warehouse
Business Intelligence
ReportingPredictive Analytics
Text Analytics
CEP, Planning, Geo, etc
Mobile Cloud Applications
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Big Data Platforms
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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
RemoteData Sources
HANA Tables
End User Query
Virtual Tables
Analytical and Transactional Applications
Teradata
HadoopSAP HANA
ASE
IQ
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Here Comes HTAP
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Imagine if Your Apps Looked Like a DW to BI Tools
SAP HANASAP 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
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SAP HANA Platform
Analyze Predict Sense
Industry Innovation
Business Applications
Cloud
Store
Mobile & deviceDatabase AnalyticsMiddleware
Build an Innovation Factory
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PEOPLE
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Benefits from Big Data Initiatives
Source: Information Difference Research Study: “Big Data Revealed”
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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
Per
cen
tag
e o
f U
sers
usi
ng
an
alyt
ics
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.
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Invest in Skills
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Analytics Collaboration
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Big Data Without
Big Brother
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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
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Conclusion
AgilityData
Simplicity People
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Thank you!
Timo ElliottSAP Innovation [email protected]
Business Analytics Blog: TimoElliott.comTwitter: @timoelliott