Title: Business and Information An Information Management Journey
1Business and InformationAn Information
Management Journey
- Steve Bennett
- Business Intelligence Group
- Co-founder The Business Intelligence CORTEX
- Greg Nichelsen
- Head of Business Intelligence and Analytics, ING
Direct Australia
2About Steve
- Business Intelligence Group
- CORTEX - an online Australian community of BI,
PM, DWH, ETL and Analytic professionalsForums
Research Jobs Local BI
News Eventswww.tbig.com.au/forums - Former Head of BI Analytics at ING Direct
- 20 years building analytic capabilities
- Oz Analytics Blog analytics.typepad.com
Page
3About Greg
- Head of BI Analytics at ING Direct
- Data Warehouse Architect
- Project Management in Financial Services and
Travel - 20 years IT application and warehouse development
Page
4Topics
- Business and Information Strategy
- Transforming Decision Making
- 4 examples
- What It Takes
Page
5ING DirectThe Free Banking Strategy
Strategy
Page
6Strategy
7Business Strategy
- Banking Plan B for ING Group
- Online (No Branches)
- No Fees
- Straightforward Products
- Exceptional Customer Service and Value
Strategy
8IT Strategy
- Future Proof - capacity, scalability,
flexibility, security, reliability - Standards - follow industry standards
- Enterprise - replace 'silo' view with layered
enterprise view - Layered approach - basis for achieving
scalability and flexibility - Re-Use - service re-use across Business units
- Security - enhanced security and system
management - De-duplication - rationalise application suites
to remove functional duplication - Consistency - consistent user experience
- Leverage - investment across projects
Strategy
9Information Vision
- To create a successful organisation using
analytics for competitive advantage - By using technology to deliver business insight,
enabling better decision making
Strategy
10Acquiring an Analytic Capability
Strategy
Page
11The Information Journey
Strategy
12Enterprise BI Strategy
- Enterprise solution to create the trusted SSOT
- Enterprise dashboard down to individual
transactions - Single analytic community (business driven)
- Single governance structure (business driven)
- Linked to performance management (salary reviews)
Strategy
Page
13Question
- What is the most important thing linking
Business, IT and IM Strategies? - People
- Process
- Data
Transformation
14TransformationInformation For Competitive
Advantage
Strategy
Page
15Solution DPM Value Chain
DPM
Fact-based Decision Making
PerformanceManagementFramework(value drivers)
Predictive Capability
Data Quality
Strategy
Trusted SSOT
Page
16Steps To Take ...
- Look at Information Holistically
- Classic data quality criteria like accuracy,
relevance, availability, etc. - What decisions are based on the data
- Impact to the business like lost, reputation,
etc. - Action they initiate like intervening at source,
etc. - DPM value chain links investment to performance
Strategy
Page
17Results After 2 Years ...
- Technology Platform Changed - but the business
did it - Business Ownership and Data Governance
Established - Data Quality much improved
- IT cares about IM
- CIO became the COO
- New Analytic Capabilities (prediction, workflow,
community) - Better decisions resulting in measurably
improved performance through analysis and
modelling
Strategy
Page
18How To Do ItLeveraging Your IT, Organisation and
People
Transformation
Page
19Design
Business Requirements What are the burning
questions? What are the value drivers?
Data Analysis What does the data support?
Logical Model How do we think it should look?
Business Need What does the business want?
- Listen to the business
- Talk to the business
- Get buy in - partnership
- Agree definitions
- Understand the business processes
- Look at the source data
- Look at the data
- Look at history and recent data
- Work on data quality
- Validate business processes
- Argue for the Big Picture
- Understand the big picture
- Avoid silos
- Conform dimensions
- Challenge the business need
Transformation
Page
20Data Quality Council
Decide
- DQ champions IT Architecture and BIA.
- 13 domain experts from across the Bank
- Data stewards of every data item and measure in
the new platform - Empowered to make decisions
- definitions
- solutions (business processes and IT)
- Monthly meetings based on DQ issues register
Transformation
21Question
- What advantages could the DQC bring to an IM
initiative?
Transformation
22DQC Priorities
- Establish effective governance of All business
data and their definitions (including reference
data)Enterprise performance measures and their
calculation basis Business ownership of data
items and measures. Prioritise and decide data
issues. Provide feedback on Data Controls, Data
Validation and Quality.Business work-arounds
that deal with issues without requiring
additional IT work.
Transformation
23Deliver
Transformation
24Mini Case Studies
- Campaign Prediction
- Deposit Flow Prediction
- Value-add Numbers
- Mobile Delivery
- None (Im bored already)
Examples
25Example 1Campaign Success Prediction
Examples
Nothing Will Ever Happen To You
Page
26Baselined
- Add filtered campaign dates (from weekend
filter), add day number and line of best fit data
points from a previous campaign.Scale curve
amounts to the new 2bn end target usingratio of
2bn Powerade campaign end value. 'Scaled
Amount' - Scaled days using ratio of New Previous
Campaign (117/87). - Calculate formula for the new curve.NOTE Note
MS Excel doesn't do this properly, so used
www.zunzun.com 2D polynomial data modeler. - Using formula for the new curve, calculate the
whole day number amounts prediction
Best Fit Daily Prediction
Examples
Page
27Examples
Page
283
2
1
Examples
Page
29Examples
Page
30Examples
Page
311
2
3
5
4
6
Examples
Page
32Example 2Deposit Flow Trend Prediction
Examples
Well, enough of the coy sexual byplay, Bobby.
Ive got to dive back into the data stream.
Page
33Examples
Page
34Examples
Page
35http//chart.apis.google.com/chart?chtlschs250x
100chdt10,15,20,19,25,46,52,80,75,110,100,140,1
60
Examples
Page
36Example 3Transparency
Examples
Page
37Examples
Page
38Example 4Right Time, Right Format
Examples
Know what we do with nosy little creeps like
you? We deprive them of their broadband data
connections, thats what we do.
Page
39DeliveringThe Mobile Challenge
Examples
Page
40The Mobile PM Challenge ...
- Blackberry standard
- No vendor tool installed thatwas acceptable
- Decision to use the most advanced graphical
representation techniqueavailable
Examples
Page
41Examples
42Examples
Page
43So hows it feel to doing this stuff?
Lessons
44Lessons
Page
45What It TakesA Journey Of 1,000 Miles ...4
Things To Avoid, 12 Principles, 968 Actions, 15
Arguments and 1 Reality
Lessons
Page
46Question
- What are some of the biggest mistakes
organisations make when attempting an information
change?
Transformation
47Mistake 1
Lessons
Trust us, we know what we are doing
Page
46
48Mistake 2
Garbage In Garbage Out
Lessons
Page
49Mistake 3
We just want a dashboard first
Lessons
Page
50Mistake 4
Arguments and confusion because meanings arent
defined and agreed
Lessons
Page
51Prevention ...
Right information to Right people at Right time
in the Right format so they can make the Right
decisions
Lessons
Page
52Establish Principles
Lessons
Hes charged with expressing contempt for
business intelligence.
53Data Control Principles
Lessons
Page
54Data Quality Principles
Lessons
Page
55968 ETL Quality Activities
Auditing 250History Tracking 178 Calculations
170Validations 158Augmentation 104Fixed Values
63 Hard-Close Dates 43 Keys 2
Lessons
Page
56Data Quality Metrics
- Accuracy degree of confidence on data being
free of error/defect Completeness extent to
which data is not missing and is of sufficient
breadth and depth for the task at hand
Consistency degree to which common data across
different sources follows the same definitions,
codes and formats Timeliness degree to which
data is up to date Security degree to which data
confidentiality, integrity and availability has
been maintained Fit for Purpose degree to which
data is relevant, appropriate and meets business
specifications.
Lessons
57Dilbert is real ...
Lessons
Page
58What can vendors do for you?
Lessons
59Lessons
Page
60Outcomes Greater Insight
- In-your-face daily performance tracking
- portfolio
- marketing campaigns
- Performance predictions
- Competitor benchmarking
- Manual review of past decisions
- Encourage fact-based decisions
- Better IM and IT coordination
Lessons
Page
61A final word ...
62(No Transcript)
63Business Intelligence CORTEX
- A new online Australian community of
- BI, PM, DWH, ETL and Analytic professionals
- Forums Research Jobs
Local BI News Events - www.tbig.com.au/forums
- sbennett_at_tbig.net.au 0413 666 724
- Oz Analytics Blog analytics.typepad.com
Page