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Predictive Analytics: 4 Primary Aspects of Predictive Analytics

Smart Data Collective

This stems, largely, from the fact that there are certain data regulations in place when it comes to marketing tech and predictive analytics software. Business users need to determine whether or not their predictive analytics are meeting key needs or if the raw data, customer responses, and analytics methods are providing false positives.

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Data Warehousing: Stepping into the Future

Astera

No-code solutions are feasible for business users defining the scope of a data warehouse project and technical users, including data warehouse architects and developers, who appreciate the point-and-click interface compared to writing thousands of lines of code.

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Why Microsoft Power Platform is a Must Skill in 2021?

Whizlabs

This year is a digital age, and your business needs to implement strategies to make use of available data and reports for further productivity planning. At times you will need to manage a complete data warehouse or leverage a tabular data model for adapting the right business solutions.

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The Complete Guide to Reverse ETL

Astera

Reverse ETL combined with data warehouse helps data analysts save time allowing them to focus on more complex tasks such as making sure their data is high quality, keeping it secure and private, and identifying the most important metrics to track. Data Models: These define the specific sets of data that need to be moved.

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Here’s Why Automation For Data Lakes Could Be Important

Smart Data Collective

Because of the types of databases that made their way into adoption during the nascent days of Big Data, we now have the problem of streamlining databases running on Hive or NoSQL that were never meant to process data sets as large as what our data lake holds. The Third Problem – Preparation of Data.

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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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Streamline Your Financial Reporting with Jet

Insight Software

Your on-prem or cloud-hosted Jet Analytics implementation enables you to pull data from different systems, transform them as needed, and build a data warehouse and cubes or data models.