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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. Click to learn more about author Maurice Lacroix.

Logistics 239
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Data Vault 2.0: What You Need to Know

Astera

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, What is Data Vault 2.0? Data Vault 2.0

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Data Science vs Data Analytics: Key Differences

Astera

It involves visualizing the data using plots and charts to identify patterns, trends, and relationships between variables. Summary statistics are also calculated to provide a quantitative description of the data. Model Building: This step uses machine learning algorithms to create predictive models.

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Information Marts: Enabling Agile, Scalable, and Accurate BI

Astera

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. The combination of data vault and information marts solves this problem.

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What Is Embedded Analytics?

Insight Software

Retail and Wholesale are the next that are best represented. Amazon also provides data and analytics – in the form of product ratings, reviews, and suggestions – to ensure customers are choosing the right products at the point of transaction. Look for those that do not require data replication or advanced data modeling.