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What is a data scientist? A key data analytics role and a lucrative career

CIO Business Intelligence

Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Data scientist job description.

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Keynote Takeaways From Gartner Data & Analytics Summit

Sisense

Gartner chose to group the rest of the keynote into three main messages according to the following categories: Here are some of the highlights as presented for each of them: Data Driven – “Adopt an Experimental Mindset”. At Sisense we’ve been preaching for BI prototyping and experimentation for quite a while now.

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Bridging the Gap Between Analytics Expectations and Reality

Sisense

Companies surveyed by Harvard Business Review Analytic Services (HBR) report that two of the most important strategic benefits of using data analytics are (1) identifying new revenue and business models and (2) becoming more innovative. 39% of companies want to identify new revenue and business opportunities with data analytics.

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CIOs sharpen cloud cost strategies — just as gen AI spikes loom

CIO Business Intelligence

Enterprises that try to migrate to the cloud on their own often run into cost and time overruns because of their inexperience, says Junaid Saiyed, CTO of data analytics firm Alation, adding that organizations that adopt self-hosted cloud solutions often do not know how to optimize the cloud’s computing, automation, and financial strategies.

Strategy 140
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Digital listening reveals 3 leading innovation drivers

CIO Business Intelligence

It surpasses blockchain and metaverse projects, which are viewed as experimental or in the pilot stage, especially by established enterprises. Top Technologies Mentioned in Innovation Conversations Tweets from Verified Accounts, January 2021 – December 2022 Opportunities abound for innovating with AI.

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What is a DataOps Engineer?

DataKitchen

Too many data organizations run data operations like a hundred-year-old car factory. While car companies lowered costs using mass production, companies in 2021 put data engineers and data scientists on the assembly line. That’s the state of data analytics today. . What is DataOps. Low error rates.

Testing 152
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The DataOps Vendor Landscape, 2021

DataKitchen

Download the 2021 DataOps Vendor Landscape here. DataOps is a hot topic in 2021. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers.

Testing 300