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Misled by metrics: 7 KPI mistakes IT leaders make

CIO Business Intelligence

“If your company has data, you’re definitely leveraging it and trying to use insights from analytics to drive positive business outcomes,” says John Loury, president and CEO of Cause + Effect Strategy, a business intelligence consulting firm. It’s 2022, we’re past the age of DRIP — data rich, insight poor.”.

Metrics 133
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What Stands Between IT and Business Success? Data Complexity

CIO Business Intelligence

Most organizations (81%) don’t have an enterprise data strategy that enables them to fully capitalize on their data assets, according to Accenture. IT funding might be on the rise, but the ROI for the business from technology investments isn’t as high as it should be.

IT 134
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Analyst, Scientist, or Specialist? Choosing Your Data Job Title

Sisense

Database design is often an important part of the business analyst role. This includes database modeling, metrics definition, dashboard design , and creating and publishing executive reports. See an example: Explore Dashboard.

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How to Pinpoint Where Your Organization Wins (and Loses) with Data

CIO Business Intelligence

By George Trujillo, Principal Data Strategist, DataStax Innovation is driven by the ease and agility of working with data. Increasing ROI for the business requires a strategic understanding of — and the ability to clearly identify — where and how organizations win with data.

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SAP Datasphere review: turning data from a technical problem to a business data product.

Jen Stirrup

It can give business-oriented data strategy for business leaders to help drive better business decisions and ROI. It can also increase productivity by enabling the business to find the data they need when the business teams need it. Business Intelligence is often a search problem in disguise.

Metadata 121
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Amazon Redshift announcements at AWS re:Invent 2023 to enable analytics on all your data

AWS Big Data

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

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Data democratization: How data architecture can drive business decisions and AI initiatives

IBM Big Data Hub

When effectively implemented, a data democracy simplifies the data stack, eliminates data gatekeepers, and makes the company’s comprehensive data platform easily accessible by different teams via a user-friendly dashboard. MLOps creates a process where it’s easier to cull insights from business data.