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Data Modeling: Techniques, Best Practices, & Why It Matters?

Astera

Data modeling is the process of structuring and organizing data so that it’s readable by machines and actionable for organizations. In this article, we’ll explore the concept of data modeling, including its importance, types , and best practices. What is a Data Model?

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The Difference Between Business Intelligence and Business Analyst Roles

Bridging the Gap

If you are interested in enhancing your data modeling skills, download our free data modeling training! Now to understand the difference between business intelligence roles and the more traditional business analyst roles you really need to understand the difference between data analysis and data modeling.

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Deep Dive into Predictive Analytics Models and Algorithms

Marutitech

You must be wondering what the different predictive models are? What is predictive data modeling? This blog will help you answer these questions and understand the predictive analytics models and algorithms in detail. What is Predictive Data Modeling? Applying the learning to different cases.

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What’s the Difference Between Business Intelligence and Business Analytics?

Sisense

So, BI deals with historical data leading right up to the present, and what you do with that information is up to you. Not only that, a good BI platform describes this to you in real-time in as much granular, forensic detail you need. Are you more interested in understanding how you got here or getting an idea of where you’ll go next?

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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 Requirements to Specify for COTS and SaaS Projects

Bridging the Gap

Whether you are working with SAP, Microsoft SharePoint, Salesforce.com, Archer, Service Now, or another tool, these requirements will help you leverage these powerful tools to lead a successful project. I’ll be sharing specific techniques for business process analysis , use cases , and data modeling , as well as success stories from ACBAs.

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Data Migration Challenges: Strategies for a Smooth Transition

Astera

Lack of Planning Lack of planning around data migration can cost organizations time, resources, and, most importantly, competitive advantage. This can lead to the organization losing a lot of valuable data after migration. Without a proper data migration plan in place, organizations can lose track of the data points they’re using.