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The Three Techniques for Improving Analytics ROI in the Cloud

Dataversity

In an industry as competitive as eCommerce retail, the ability to turn data into actionable insights presents the opportunity to make business decisions that drive more revenue and control costs. The post The Three Techniques for Improving Analytics ROI in the Cloud appeared first on DATAVERSITY.

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

Sisense

While salaries for data analysts are often reasonably high, salaries for data scientists may be higher still. This may reflect the requirement on data scientists to create models to improve the future, compared to the role of data analysts to use data to describe the past and the present instead.

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How to: Focus on three areas for a holistic data governance approach for self-service analytics

Tableau

While not exhaustive, here are additional capabilities to consider as part of your data management and governance solution: Data preparation. Data modeling. Data migration . Data architecture. You may be familiar with our mission at Tableau: to help people see and understand data.

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How to: Focus on three areas for a holistic data governance approach for self-service analytics

Tableau

While not exhaustive, here are additional capabilities to consider as part of your data management and governance solution: Data preparation. Data modeling. Data migration . Data architecture. You may be familiar with our mission at Tableau: to help people see and understand data.

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Data Vault 101: Your Guide to Adaptable and Scalable Data Warehousing

Astera

Only 5% of businesses feel they have data management under control, while 77% of industry leaders consider growing volume of data one of the biggest challenges. It has some key differences in terms of data loading, data modeling, and data agility.

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Data Science vs Data Analytics: Key Differences

Astera

Two key disciplines have emerged at the forefront of this approach: data science vs data analytics. While both fields help you extract insights from data, data analytics focuses more on analyzing historical data to guide decisions in the present. It allows you to retrieve and manipulate data efficiently.

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What Is Embedded Analytics?

Insight Software

Discuss, don’t present. Present your business case. To support your case, present findings from the State of Embedded Analytics study. Information Delivery The main reason software providers take on an embedded analytics project is to improve how data is presented. It is now most definitely a need-to-have.