Compare the United Kingdom's Best Data Management Platforms

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Software guide

Which data management platform should I choose?

Are you struggling to succeed with online advertising? Are you failing to reach the right target audiences with your ads? It’s 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, thus achieving new successes with your online advertising.

The market offers several data management platforms, and it’s 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 starting 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 differ.

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’s 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’s 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 working with your data management platform. Thanks to cloud storage services, your DMP becomes more powerful, as the systems can effectively work together.

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 specializes 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 aforementioned 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?

Quick Guide

Quick Guide

Why is analysis such an important factor for a DMP?

Analysis can be one of the most crucial 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.

As mentioned, a DMP collects data from various sources and then uses that data to build a picture of users in 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. 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.