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8 data strategy mistakes to avoid

CIO Business Intelligence

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

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What companies get wrong about data transformation

CIO Business Intelligence

For years, IT and data leaders have been striving to help their companies become more data driven. But technology investment alone is not enough to make your organization data driven. I think that speaks volumes to the type of commitment that organizations have to make around data in order to actually move the needle.”.

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Building Better Data Models to Unlock Next-Level Intelligence

Sisense

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. Building the right data model is an important part of your data strategy.

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How Alation’s Data Team Uses the Modern Data Stack to Power Insights

Alation

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. Bindu Chandramohan, Lead, Data Analytics, Alation : Thanks, Jason!

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Watch the Fifth Video in Our Snowflake Tutorial Series

CDW Research Hub

Get hands-on experience with the data cloud. Gain experience and understanding of how to drive better business decisions with your data. Our fifth video will demonstrate data transformation and orchestration with Matillion into Snowflake. Learn about current trends.

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Why The Public Sector Needs Data Governance

Alation

It’s not uncommon for analysts to struggle to access mission-critical data – even if they need it for urgent projects. This is why public agencies are increasingly turning to an active governance model, which promotes data visibility alongside in-workflow guidance to ensure secure, compliant usage. Standardizing data formats.

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Tackling AI’s data challenges with IBM databases on AWS

IBM Big Data Hub

Whether it’s for ad hoc analytics, data transformation, data sharing, data lake modernization or ML and gen AI, you have the flexibility to choose. Ultimate flexibility across hybrid cloud environments : IBM offers unmatched flexibility in deployment models, including SaaS on AWS. This