Compare The Best Data Management Platforms

Which data management platform should I choose?

Are you struggling to succeed with online advertising? Are you not reaching the right target audiences with your ads? It is definitely time to invest in a data management platform, commonly known as a DMP. With a data management platform, you can better understand and target your marketing campaigns towards the right audiences, thereby achieving new successes with your online advertising.

The market offers several data management platforms, and it is essential to choose the right platform for your specific needs. Exactly what you need can be difficult to determine at the initial stage. We at BusinessWith recommend that you start by developing a strategy for your online advertising, with goals and clear budgets. Depending on whether you run a small business or represent a larger company, your circumstances will obviously look quite different.

Data management platforms can be cloud-based, although not all of them are. Do you want everything in the cloud, or do you prefer a server-based solution? It is important to evaluate and consider before you decide which type of DMP is best for you.

Once you have assessed your needs and resources, it is time to search for the right data management platform. We at BusinessWith offer a comparison service where you can find the best DMP on the market – just for you. Feel free to choose and compare today!

How does the cloud integrate with my data management platform?

The much-discussed cloud, with solutions such as AWS Cloud from Amazon, Azure from Microsoft, and Snowflake, can play a significant role when you work with your data management platform. Thanks to cloud storage services, your DMP becomes more powerful, as the systems can be effectively used in conjunction.

In cloud-based services, large amounts of user and customer data can be stored – information that helps you become more precise with your online marketing. This includes data from websites, apps, and CRM systems.

Without going into too many details, a DMP is specialized in marketing processes. For it to work as efficiently as possible, the data underlying your advertising campaigns needs to be prepared. Cloud services like the mentioned Snowflake offer services to prepare this data for your data management platform.

Your DMP then uses information about your potential customers, including demographic info and behavioral data, to deliver targeted and relevant marketing to the right customers in the right channels.

Why is analysis such an important factor for a DMP?

List of 15 different Data Management Software

Qlik Sense is a complete cloud-based data analytics platform that offers modern features such as associative AI tools and automated analyses to facilitate data-based decisions in businesses.

Learn more about Qlik Sense

AWS Cloud Services aims to offer powerful end-to-end solutions that cover all aspects of an organisation's IT infrastructure. AWS primarily offers cloud-based and customised services that are designed to flexibly integrate different aspects of the applications and be quickly scalable at the customer's request. AI and machine learning as well as security and data management are a few of the service...

Learn more about AWS Cloud

Azure is a low-code programme developed by Microsoft and is a comprehensive system that is scalable with a range of different types of modules. The system is designed for programme development with limited code and can deliver solutions at a lower cost than systems developed with complex code, while offering many autonomous functions. The system can be easily expanded and the goal of the implement...

Learn more about Azure

Cloudera is a web-based data management platform that enables data integration, data warehousing and powerful analyses, including machine learning.

Learn more about Cloudera

Integrate data from different sources in real time using this data management platform from Denodo. Create a unified view of data within the organisation by collecting and providing data to the people who need to provide it.

Learn more about Denodo

This data management solution from Exasol enables companies to easily collect and analyse large amounts of data on a single platform. By using this data management platform, companies can save both time and money through more efficient data management.

Learn more about Exasol

IBM InfoSphere Information Server is a customisable and user-friendly data management platform designed to manage, clean and store data securely. The solution also allows data integration and ensures that the data is of high quality.

Learn more about IBM InfoSphere Information Server

Integrate and combine data from different data sources securely using Informatica PowerCenter. The data management platform is web-based and allows the user to easily manage large amounts of data with its complex functionalities.

Learn more about Informatica PowerCenter

Oracle Bluekai is a data management tool with extensive functionalities to manage and store data. Make data useful by integrating and combining data sources with the help of Oracle Bluekai and streamline work within the organisation.

Learn more about Oracle BlueKai

This data management platform enables companies to easily manage their data in an efficient way. The solution includes several different features to maintain good quality data, integrate data and analyse data, making it a multifunctional tool.

Learn more about SAS Data management

A cloud-based data management platform that provides users with a secure and scalable platform to integrate, store and manage data. The solution enables companies to collect and consolidate data from multiple data sources.

Learn more about Snowflake

A BI system available both in the cloud and as software. With Tableau, you can get automated insights using AI and easily share reports with other users. Tableau is part of Salesforce.

Learn more about Tableau

Manage data and link different data sources with this user-friendly, web-based data management tool from Qlik. The platform allows both analyses and segmentation of data, making it easy to find the information required by the business.

Learn more about Talend Data Fabric

This multi-cloud data management platform from Teradata is a complex solution that is customisable to your business needs while offering AI functionalities, data management and data analytics.

Learn more about Teradata

Tibco EBX is a master data management platform designed to manage your organisation's most critical data in one secure place. Here you can get a good overview of the data while it can be managed and analysed in an efficient way.

Learn more about Tibco EBX

Why is analysis such an important factor for a DMP?

Analysis can be one of the most important words for a marketer. For many years, marketers took chances and hoped that their ads would reach the right person. Today, it doesn’t work that way at all, thanks to the vast opportunities for analysis and follow-ups that come with today’s online-based marketing.

A DMP collects data from various sources, and then uses that data to build a picture of users in the target groups and their online behavior. One of the primary functions of a DMP is to segment the target groups based on user profiles, to which the ads are directed.

By using analysis, you can optimize your campaigns over time with your DMP, and thus improve conversion and sales.

Are you looking to invest in a data management platform? Use our comparison service to find the best solution for you and your team. Contact us at BusinessWith if you have any questions.

Description of product features

Data analysis

Analyze data and find important discoveries that can contribute to improvements.

Data integration

Integrate and combine different data sources with each other.

Data migration

Move data from one platform to another.

Data monitoring

Provides a good overview of the data that is in the system or the cloud.

Data quality management

Clear unnecessary data by limiting attributes that should be included and not in the data source.

Data security and compliance

Enables control of who has access to data as well as encryption of data sources to keep information secure.

Data segmentation

Divide the data into different segments to create a good structure and overview.

Data transformation

Provides a tool to clean, enhance, filter and restructure data to make it suitable for analysis or reporting.