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DataOps For Business Analytics Teams

DataKitchen

Their business unit colleagues ask an endless stream of urgent questions that require analytic insights. Business analysts must rapidly deliver value and simultaneously manage fragile and error-prone analytics production pipelines. In business analytics, fire-fighting and stress are common.

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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. What does a business intelligence analyst do? The role is becoming increasingly important as organizations move to capitalize on the volumes of data they collect through business intelligence strategies.

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Don’t Blink: You’ll Miss Something Amazing!

Cloudera

Flexible use of compute resources on analytics — which is even more important as we start performing multiple different types of analytics, some critical to daily operations and some more exploratory and experimental in nature, and we don’t want to have resource demands collide. Kudu has this covered.

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

Jet Global

But data has become increasingly complex, with high volumes from different sources spanning across multiple geographic regions. While we’ve seen a rise in technology investment that manages business processes and gathers data, it has greatly exceeded the time and resources put towards data management and governance.

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How Macmillan Publishers authored success using IBM Cognos Analytics

IBM Big Data Hub

For more than 10 years, the publisher has used IBM Cognos Analytics to wrangle its internal and external operational reporting needs. This encompasses their finance, sales, supply chain, inventory management and production areas. As business processes grew more complex, the data transparency and visibility suffered.