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AzureML and CRISP-DM – a Framework to help the Business Intelligence professional move to AI

Jen Stirrup

If you’ve previously done work in SQL Server Analysis Services, you will know that Analysis Services had data mining functionality. Excel specialists may know that Excel also has a series of Data Mining Add-ins. This may also involve the generation of a preliminary plan designed to deliver the business objectives.

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IT Budgeting Practices for Data-Driven Companies

Smart Data Collective

While there are many benefits of big data technology, the steep price tag can’t be ignored. Companies need to appreciate the reality that they can drain their bank accounts on data analytics and data mining tools if they don’t budget properly. What is the Information Technology Budgeting Process?

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10 Best Big Data Analytics Tools You Need To Know in 2023

FineReport

To choose the right big data analytics tools, it is important to consider various factors specific to the business. Here are some key factors to keep in mind: Understanding business objectives : It is important to identify and understand the business objectives before selecting a big data tool.

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Variance and significance in large-scale online services

The Unofficial Google Data Science Blog

Indeed, understanding and facilitating user choices through improvements in the service offering is much of what LSOS data science teams do. As with any enterprise, the goal of the service provider is to better satisfy its users and further its business objectives. To understand this better we need a few definitions.

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What Is Data Intelligence?

Alation

And types of metadata — or data about data — abound. Some high-level metadata categories in a data catalog include: Behavioral : Records who is using data, and how they are using it. Technical: Shows schema or table definitions. Business: Policies on how to handle different kinds of data appropriately.