Inside the Data Fortress
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Transcript of Inside the Data Fortress
Data Quality @ Essent
Inside the Data Fortress
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The pain of poor data quality
operational database
supervisor
reporting database
DQproblems
departmentalmanagers
data cleansingdownstream
director
team productivity report strategic reporting
DQ problems
data cleansingupstream
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The deregulated market:contracts, energy & money
• We buy wholesale energy
• We sell energy to customers
• Selling price – purchase price
gross profit
• We collect transport, distribution and
taxes
• That´s all we do
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The information we needCustomer
Identification Name, title, date of birthName, legal form, enterprise number, VAT number
Address Official address, plus other communication details
Contract
Validity Start date, end date
Product Inclusive price
Billing conditions Billing address, payment terms, etc.
Installation
Identification EAN
DGO
Address Delivery address
Energy Gas or electricity
Metering frequency Incl. metered timeframes
Estimated consumption
Profile
Network tariffs For calculating distribution & transport costs
GOS For gas only
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The information we need
Balance Responsible
Identification Essent trading, Gaz de France, Distrigaz
Product Fixed, variable, back to back
Price Per 15’ or per hour
Metered consumption
Installation EAN
Validitity From, to
Consumption In kWh
Meter index In kWh or m3
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Process
Application
Data
We are a data company
We collect this information
We update this information when it changes
We process this information correctly
Data Quality : “getting the data right”
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Cleansing for Dynamo
AxaptaBack Office
DQ & MigrationMecomsDynamo
WDMDun &
BradstreetAccess
RegisterDNB
Snapshots
Customer Installation
Tools
Data
Address Validation
extract
data pump
correctupdate insertscriptsexport
manual cleansing
Human Inference
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Dynamo : DQ built inThe Data Fortress
Address Address Validation
CustomerIdentify existing
customer
Eliminate duplicate
s
Known credit scores
Installation Access Register
Mystery Switch
MIG Controls Early fallout