Business Analytics Dashboards Data Quality Data Warehouse 
Jet Global
FEBRUARY 5, 2019
It’s hard to answer that question because, truth be told, you don’t know you’re using bad data until it’s too late. . states that about 40 percent of enterprise data is either inaccurate, incomplete, or unavailable. Because bad data is the reason behind poor analytics. . Top 5 Warning Signs of Bad Data.
Jet Global
MAY 1, 2020
Risk to the business. The mechanical solution is to build a data warehouse. The non-mechanical way to do it is to put a business sponsor on the team who believes in a transparent, fact-based approach to management. Data quality issues. Here’s the ugly truth: Everybody has a data quality problem.
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Jet Global
JULY 11, 2019
Data Consolidation. A data warehouse can help you collect business data from multiple sources and use it for accurate reporting and analytics. BI powered by data warehouses can better correlate data from disparate systems and provide greater insight into the supply chain, sales, financials, etc.
Jet Global
OCTOBER 1, 2019
Data Consolidation. A data warehouse can help you collect business data from multiple sources and use it for accurate reporting and analytics. BI powered by data warehouses can better correlate data from disparate systems and provide greater insight into the supply chain, sales, financials, etc.
Peter James Thomas
AUGUST 18, 2018
From 2000 to 2015, I had some success [5] with designing and implementing Data Warehouse architectures much like the following: As a lot of my work then was in Insurance or related fields, the Analytical Repositories tended to be Actuarial Databases and / or Exposure Management Databases, developed in collaboration with such teams.
Peter James Thomas
MAY 3, 2019
Collation of Data to provide Information. This area includes what is often described as “traditional” reporting [3] , Dashboards and analysis facilities. Control of Data to ensure it is Fit-for-Purpose. Data Architecture / Infrastructure. I will start at the top left and work across and then down.
Andrew White
MARCH 22, 2019
This ties into the failure of data governance and MDM (see first item in this list). A data hub strategy should be economical, not perfected; and a data hub does not collect data like a data warehouses or data lake does – they are very different things. Age maybe against us.
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