Business Analytics Business Intelligence 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
JULY 11, 2019
Although it’s been around for decades, predictive analytics is becoming more and more mainstream, with growing volumes of data and readily accessible software ripe for transforming. We’ll explain what it is, how it works, and ways to start using demand forecasting with business intelligence software. Data Consolidation.
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Peter James Thomas
AUGUST 18, 2018
That was the Science, here comes the Technology… A Brief Hydrology of Data Lakes. This is where the observant reader will see the concept of Convergent Evolution playing out in the data arena as well as the Natural World. This is the essence of Convergent Evolution. In Closing.
Jet Global
OCTOBER 1, 2019
Although it’s been around for decades, predictive analytics is becoming more and more mainstream, with growing volumes of data and readily accessible software ripe for transforming. We’ll explain what it is, how it works, and ways to start using demand forecasting with business intelligence software. Data Consolidation.
Jet Global
JANUARY 17, 2019
In today’s data-driven world, business intelligence (BI) and analytics play a huge role in better understanding your customers, improving your operations, and making actionable business decisions. Take a look at the data you need to use in order to get any value from business intelligence and analytics.
IBM Big Data Hub
OCTOBER 27, 2022
When Newcomp Analytics started working with chocolatier Lindt Canada more than 15 years ago to support their supply chain, Lindt had no full-time IT personnel for analytics. Lindt now has a team of 10, including a business intelligence (BI) manager and BI developer analysts.
CIO Business Intelligence
MARCH 9, 2022
But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI. Traditional data warehouses, for example, support datasets from multiple sources but require a consistent data structure.
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