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Unlocking Data Storage: The Traditional Data Warehouse vs. Cloud Data Warehouse

Sisense

Data warehouse vs. databases Traditional vs. Cloud Explained Cloud data warehouses in your data stack A data-driven future powered by the cloud. We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Data warehouse vs. databases.

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What is a business intelligence analyst? A key role for data-driven decisions

CIO Business Intelligence

Business intelligence (BI) analysts transform data into insights that drive business value. This is done by mining complex data using BI software and tools , comparing data to competitors and industry trends, and creating visualizations that communicate findings to others in the organization.

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Understanding Structured and Unstructured Data

Sisense

Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Structured vs unstructured data. However, both types of data play an important role in data analysis.

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How Macmillan Publishers authored success using IBM Cognos Analytics

IBM Big Data Hub

Data analytics in the publishing industry With such a widespread global operation, Macmillan Publishers has a long history of investing in technology that can source deep analytical information about sales, inventory and transportation of their titles in the market.

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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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5 Signs You’re Using Bad Data to Make Business Decisions

Jet Global

We live in a world where the more data you collect, the better. But data has become increasingly complex, with high volumes from different sources spanning across multiple geographic regions. There are multiple versions of reports are located on your servers, local machines, and networks that create silos of information .

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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.