Inside the Data Fortress
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Data quality issues at Essent were causing problems for strategic reporting and team productivity. To address this, they implemented data cleansing both upstream and downstream of operational and reporting databases. They also built data quality checks into their new Dynamo database to help ensure clean, accurate customer installation and address data from tools that validate addresses and allow for human inference. This fortified their "data fortress" with data quality measures.
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Inside the Data Fortress
- 1. Data Quality @ EssentInside the Data Fortress
- 2. The pain of poor data quality2directordepartmentalmanagersDQproblemssupervisorstrategicreportingteam productivity reportreporting databaseoperational databaseDQ problemsdata cleansingupstreamdata cleansingdownstream
- 3. The deregulatedmarket:contracts, energy & money3We buy wholesale energy
- 4. We sell energy to customers
- 5. Selling price – purchase price gross profit
- 6. We collect transport, distribution and taxes
- 7. That´s all we doThe information we need4
- 8. The information we need5
- 9. We are a data company6
- 10. Cleansingfor Dynamo7manualcleansingAxaptaBack OfficeDQ & MigrationMecomsDynamodata pumpscriptscorrectupdateinsertexportextractCustomerInstallationToolsAddressValidationHuman InferenceDataWDMDun & BradstreetAccess RegisterDNB Snapshots
- 11. Dynamo : DQ built inThe Data Fortress8