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Qlik Sense vs. Tableau: Self-service analytics tools compared

CIO Business Intelligence

Business intelligence (BI) and analytics platforms have long been a staple for business, but thanks to the rise of self-service BI tools, responsibility for analytics has shifted from IT to business analysts, with support from data scientists and database administrators.

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Domo vs. Tableau: Self-service analytics tools compared

CIO Business Intelligence

Business intelligence (BI) and analytics platforms have long been a staple for business, but thanks to the rise of self-service BI tools, responsibility for analytics has shifted from IT to business analysts, with support from data scientists and database administrators.

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What is a data architect? Skills, salaries, and how to become a data framework master

CIO Business Intelligence

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architects are frequently part of a data science team and tasked with leading data system projects.

Data 132
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Power BI vs. Tableau: Self-service analytics tools compared

CIO Business Intelligence

Business intelligence (BI) and analytics platforms have long been a staple for business, but thanks to the rise of self-service BI tools, responsibility for analytics has shifted from IT to business analysts, with support from data scientists and database administrators.

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11 dark secrets of data management

CIO Business Intelligence

Some call data the new oil. Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key.

Data 138
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The 5 best self-service BI tools compared

CIO Business Intelligence

Visual-based data discovery has been a key component of BI since about 2004; this trend has moved the responsibility for analytics from IT to self-service by business analysts and managers, with support from data scientists and database administrators. To read this article in full, please click here (Insider Story)

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Back to basics: Keys to taking a pragmatic approach to observability

CIO Business Intelligence

Don’t collect more data, collect the right data Today, large enterprises are awash in massive volumes of data points being collected by various monitoring systems. In time, enormous databases have emerged. Invariably, when issues arise, operators don’t know where to start; no one has time to look at all the data captured.