2014 BriteConf - BriteData Reveal

1. Reporting with
BRITEDATA
Business
Intelligence
for
BriteCore
1

2. BRITEDATA 2
Guess
What…
BriteData is LIVE
BRITEDATA 10/20/2014 CHRIS REYNOLDS

4. 4
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5. 5
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6. BRITEDATA TEAM 6
It
took
a
village…
BRITEDATA 10/20/2014 CHRIS REYNOLDS

7. REPORT 1 7
Coverage
A
Report
by
Zip
Code
Scenario:
You want to see the total inforce premium and limits
for Coverage A by Zip Code
BRITEDATA 10/20/2014 CHRIS REYNOLDS

8. REPORT 2 8
Coverage
Report
By
Everything
Scenario:
You want to see the total inforce premium and limits
for Coverage A by EVERYTHING.
BRITEDATA 10/20/2014 CHRIS REYNOLDS

9. REPORT 3 9
Property/Liability
Report
Scenario:
You need to produce a report
that shows your premium
broken down by Property or Liability,
where only certain line items are counted.
BRITEDATA 10/20/2014 CHRIS REYNOLDS

10. REPORT 4 10
Reinsurance
CAT
Property
Report
Scenario:
It’s September, and your reinsurer needs
the Property CAT Exposure Report
BRITEDATA 10/20/2014 CHRIS REYNOLDS

11. REPORT 4 11
Reinsurance
CAT
Property
Report
Scenario:
Property Cat Report that’s much more involved…
BRITEDATA 10/20/2014 CHRIS REYNOLDS

12. REPORT 5 12
Limit
Profile
Scenario:
You need to produce a Limit Profile
where the limits are divided into various “ranges”.
BRITEDATA 10/20/2014 CHRIS REYNOLDS

13. GOTCHA’S 13
Things
to
know
• JS error for long loads
• This is still BETA, there will be things…
• If you run a report, and you don’t see it in the report
status page, you should re-run it.
BRITEDATA 10/20/2014 CHRIS REYNOLDS

14. WHAT’S NEXT? 14
The
Future
Of
BriteData
• Accounting Data
• Quote and App Data (Non-Committed Policies)
• Custom Queries are EOL after December.
• DW Extractions for Nov and Dec will be by request.
• Custom Premium/Limit Extracts will be
EOL after Dec 1.
BRITEDATA 10/20/2014 CHRIS REYNOLDS

15. WHAT’S NEXT? 15
The
Future
Of
BriteData
• Share your recipes!!!
• User Inputs for dates
BRITEDATA 10/20/2014 CHRIS REYNOLDS

16. BRITEDATA 16
A
LiJle
History
• Traditional Data Warehouse
• Need a maintainable infrastructure
• Business Users don’t do SQL Queries
• Waiting on monthly extractions is awful
• Fact and Dimension Tables are awesome
BRITEDATA 10/20/2014 CHRIS REYNOLDS

17. BRITEDATA 17
A
LiJle
History
• Pandas (Python Data Analysis Library)
• Wicked-Fast
• Data Extracts & Agency Experience Report
• Huge, vibrant community doing cutting-edge things
• Knockout.js & Bootstrap
• Faster, more robust User Interface
• Easier to maintain
BRITEDATA 10/20/2014 CHRIS REYNOLDS

18. BRITEDATA 18
A
LiJle
History
• BriteData
• We use Fact/Dimension concept from DW
• Data is available on-the-fly through Pandas
• No Queries are needed
• The engine does all the hard work (date/date-range)
• Testable, Sharable, Maintainable
• The interface is so easy to use
BRITEDATA 10/20/2014 CHRIS REYNOLDS