Top 5 Data Management Platforms for Data Science and Analytics Tasks

Posted by sairaj tamse on July 28th, 2022

Introduction to Data Management Platforms

Data Management Platforms (DMPs) are a collection of tools used by enterprises to more efficiently collect and manage their data. More businesses are adopting them since they are now essential to customer analytics, sales, and marketing initiatives.

By evaluating the data from many sources and then presenting it in a simple way, DMP assists these businesses in getting the most out of their use of the data. They have the capacity to extract data from numerous sources, including analytics software, customer relationship management (CRM), and more.

DMPs, as you might expect, are primarily meant to help engineers and data scientists. However, marketing teams have heavily embraced it to assist them in understanding their expenditures.

• Lotame Audience Management: 

 As a market-leading data management platform, Lotame Audience Management offers a range of information via emails, blogs, CRM tools, and more. It is renowned for assisting in data unification, providing data solutions, and enhancing overall performance. One of their primary objectives is to monitor marketing effectiveness in light of privacy and cookie usage issues.

• SAS Data Management: 

    SAS offers a data management solution that is intended to interact with a wide range of data sources seamlessly. SAS Data Management has several managing procedures and is simple to use using a point-and-click interface. Programming is not necessary thanks to the drag-and-drop feature, which saves a lot of time and money. Integrated process designer, connectivity & data access, metadata management, and other capabilities are also included.

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• Permutive: 

   Permutive is the DMP for you if you want excellent performance with strong privacy because it was created using cutting-edge technology. Permutive offers a privacy-safe architecture that enables publishers and advertisers to reach their target audience while maintaining data management safely. Publishers give advertisers who can compile the data they need to track performance first-party information in a way that protects their privacy.

• Oracle Data Cloud: 

   The initial goal of Oracle Data Cloud was to increase advertising effectiveness through data, metrics, and other tools. Since then, it has made it possible for advertisers to quickly establish a connection with the ideal client and tailor every encounter to raise engagement individually. It gives you details on your customer, like what they purchased, their travel plans, etc.

• Cloudera: 

   DataFlow, DataEngineers, DataWarehouse, and more companies all have solutions available through Cloudera Data Platforms. Their DataFlow, in particular, enables you to create streaming applications by letting you handle your data from the edge to the cloud without writing a single line of code. With a range of capabilities like cluster management, diagnostics, etc., it also offers high performance, quality, and scalability.

Conclusion : 

Hope this article was helpful for your data science journey. It is reasonable to conclude that knowing about the client journey enables businesses to utilize their data more effectively, boost productivity, and increase sales and profit! Understanding how each point relates to the others and how to connect them becomes crucial for a business. When you need to firmly establish your data and its purposes so that businesses may offer more individualized services, DMPs are undoubtedly your best buddy. 

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