Belfius Insurance - Laco - Self-service BI for Insurance ... … · Only make visuals for the...
Transcript of Belfius Insurance - Laco - Self-service BI for Insurance ... … · Only make visuals for the...
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SELF-SERVICE BI FOR INSURANCE,
HIGHER LEVEL OF SERVICE
With SAS Visual Analytics
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Agenda
Introduction
Why SAS Visual Analytics
Demo 1
BI Landscape
Project Approach/Organization
Current situation
Best practices
Self-service BI
Demo 2
Q&A
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Speakers
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Steven De WeverProject Manager
Jan SmeuldersSAS VA Consultant
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Belfius Insurance – Multi Channel Insurances
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LUXEMBURGBelgium
Belfius Insurance
Belfius Bank
network in Belgium
772 Branches
Corporate and
Public bankers
333 exclusive
DVV / Les AP
offices
Internet and
affinity deals
External
distribution
partnerships (in
and out
Luxemburg)
Belfius Bank &
Verzekeringen
DVV
VerzekeringenCorona Direct IWIElantis
Mortgages
through
broker
distribution
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What‘s the problem?
Not user friendly (one cannot detect trends, hard to interpret)
Data quality: is it ok? (we don’t know)
We lack flexibility: changing the reporting view requires lots of effort
Several versions of the truth
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Why SAS Visual Analytics?
For Business
Self service BI
• User creates own reports / does own analytics
• Drag & drop
• No complex « cubes »
Visual exploration of data
• Stronger insight in data & quality
– Trend spotting, Auto charting, on-the-fly hierarchies
• Drill-down functionality towards lowest level (« in memory »)
Rapid delivery of insights (web / mobile)
For IT
Control governance and empower colleagues with easy access to all data
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DEMO REPORT
SAS Visual Analytics
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Mainframe
AS-400
EUC
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BI Landscape
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BI Landscape
Mainframe
AS-400
EUC
ODS
Operational
Data Store
(IBM DB2
on Linux)
SAS-DI
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Mainframe
AS-400
EUC
ODS
Operational
Data Store
(IBM DB2
on Linux)
DDS
Detailed
Data Store
(SAS DDS)
SAS-DI
SAS-DI
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BI Landscape
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Mainframe
AS-400
EUC
ODS
Operational
Data Store
(IBM DB2
on Linux)
DDS
Detailed
Data Store
(SAS DDS)
Departe-
Mental
Data Mart
Departe-
Mental
Data Mart
…
SAS-DI
SAS-DI
SAS-DI
SAS-DI
SAS-DI
BI Landscape
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Mainframe
AS-400
EUC
ODS
Operational
Data Store
(IBM DB2
on Linux)
DDS
Detailed
Data Store
(SAS DDS)
Analytical
Reports
Reconciliation
Reports
Departe-
Mental
Data Mart
Departe-
Mental
Data Mart
SAS VA
…
SAS-DI
SAS-DI
SAS-DI
SAS-DI
SAS-DI
SAS-DI
BI Landscape
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Technical Architecture
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Organization
IT makes data available in SAS VA, so that power users can make reports
Power users (Business) are given the profile of “SAS VA developer” and are able to explore data and
make reports in SAS VA. (with support of IT)
Other users consume the reports
• Interactive use
– Drill down
– Filtering
– Zoom in
– ...
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Project approach
Short time to market (quick response)
A SAS VA contact (IT) is contacted by other project teams or business users and takes care of …
• Automatisation of structural uploads (refreshes) of data in SAS VA
– End user data is stabilized in Operational data store
• Support end users (power users) in making reports
• Security
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Current situation
Already available data/reports in SAS Visual Analytics:
IT and Business Projects follow-up reporting (based on Clarity information)
Management Reporting on Corporate Insurance sales and claims
Quality Reporting on data used throughout data-warehouse processes (reconciliation, including audit trails)
Workflow Management Reporting (follow-up of back-office tasks and SLA)
Process Reporting (used for following up on operational processes, e.g. Sigedis legal declarations)
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Best Practices (1)
First experiment, then implement
Combination of data sources (ODS, DDS, Excel, …)
Once stable => ETL automation: structural load of data in SAS VA
Data Preparation (with SAS Data Integration Studio)
Reuse of the existing metadata
Focus on data quality(!) => the report is data driven: output is only as good as the input
Aim for “1 Version of the truth” (more performant, no differences)
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Best Practices (2)
Use row level security
Let’s say we have file with policy info
• Person 1 may only see “car policies”
• Person 2 may only see “fire policies”
• Person 3 may see all the policies
Don’t load the same file three times, but once and use row level security!
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Best Practices (3)
Avoid manual work in “managing” security. Make a bridge between existing security and SAS VA
row level security.
What about end user data without an existing security?
Self service BI means also that the “end user” must be able to determine security on his data.
Provide an “access” point for them, so they can adapt security. (otherwise IT can be a blocking
factor)
Only make visuals for the “questions” that need answering!
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LACO – Partner in a changing world
Strong expertise
Founded in 1986
+ 120 consultants
+ 2000 menyears of experience
Loyal customer base
SAS Partner since 1987
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Wish for…
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FasterResults
DeeperInsights
ActionableReporting
STRETCH
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Approach
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Iterative
Feedback
Self-service
Coaching
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This is why you need Self-Service BI!
Business
Reduced waiting times for obtaining answers to business questions.
IT
Reduced risk of ad hoc initiatives by end-users in the collection and processing of data.
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And when your are doing it right…
Business
The ability to analyze data that have not yet been included in the DW, is a key advantage for
discovering new insights.
IT
Good documentation of the SSBI findings will shorten the analysis phase for the classic BI tracks
significantly, resulting in a faster start of development of the ETL, data marts, cubes and reports.
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And in the long run…
Business & IT
SSBI creates more visibility on the complexity of the DW/BI process.
This in its turn automatically creates a better understanding on the duration of the ‘classic’ BI-
track.
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SSBI Structured vs Unstructured
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Structured SSBI Unstructured SSBI
Only allowed on valid sources of data Any data source qualifies for analysis
Governed process of report creation
and distribution
Uses unconstrained collaboration
and distribution channels
Heavy emphasis on IT control of data
assets
Emphasis on business driven
solutions
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SSBI Structured vs Unstructured
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Structured SSBI Unstructured SSBI
Smooth data governance
Standardization
Data discovery
Pattern discovery
Timely decision support
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Conclusion
The key is to find the balance between structured and unstructured SSBI
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DEMO SELF SERVICE BI
With SAS Visual Analytics
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Q&A
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Twitter Contest – Tweet to win prizes!
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A. You avoid the creation of “cubes”
B. You avoid having the same data source multiple times in the
LASR memory of SAS Visual Analytics
C. You are able to use the drill down functionality
6. What’s an advantage of “row level security”?
Start of your tweet Question # Your answer
Tweet your answer:
Example: @spicyanalytics 6C
Prizes to win:
1st prize: a ticket for Analytics 20152nd prize: a book of Prof Bart Baesens: “Analytics in a big data world”3rd to 30th prize: chocolates with pepper
Winners will be contacted post-Forum !