Remove Business Analytics Remove Data Quality Remove Data Warehouse Remove Reporting
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5 Signs You’re Using Bad Data to Make Business Decisions

Jet Global

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.

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9 Distinct Threats to Your BI Implementation

Jet Global

Recently released is a report by Gartner about all the things that can go wrong in your BI implementation. Of course, these threats can easily be overcome, but it’s a sure bet that they will try to creep their way into your business plans. Risk to the business. The mechanical solution is to build a data warehouse.

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Convergent Evolution

Peter James Thomas

That was the Science, here comes the Technology… A Brief Hydrology of Data Lakes. Once the output of Data Science began to be used to support business decisions, a need arose to consider how it could be audited and both data privacy and information security considerations also came to the fore. In Closing.

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Building a Beautiful Data Lakehouse

CIO Business Intelligence

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.

Data Lake 118
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How Newcomp Analytics partners with IBM to advance clients’ supply chain insights

IBM Big Data Hub

Yet Newcomp continues to be an essential and trusted partner, helping the company keep up with the high volume of analytics solutions it needs to address. Helping clients close the business analytics skills gap. The company’s up-to-date expertise with IBM Cognos Analytics and their close relationship with IBM are key factors.

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Using Business Intelligence in Demand Forecasting

Jet Global

In order to understand demand and accurately predict supply, most companies adopt a business intelligence solution to assist with data preparation, data consolidation, analysis, and reporting. BI software is built to collect, unify, sort, tag, analyze, and report on vast amounts of data. Data Consolidation.

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Data Science, Past & Future

Domino Data Lab

The data governance, however, is still pretty much over on the data warehouse. Toward the end of the 2000s is when you first started getting teams and industry, as Josh Willis was showing really brilliantly last night, you first started getting some teams identified as “data science” teams. You know what?