These 3 Data Management Platforms Stand Out

Recent years have seen a lot of attention paid to the immense inherent value of data. Companies have ignored the value of data in the past.

They often didn’t collect customer information, even if they did. The data sat in piles of dark, unanalyzed, and not attended to on forgotten hard drives or cloud storage sites. Sometimes, businesses made an effort to correct incorrect data. A 2016 report stated that the U.S. was losing $3.1 trillion annually due to bad data.


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These difficulties have resulted in an increase in the number of data management platforms available. Each tool can perform the same tasks: identity, collect and organize data. Analysts can then use this information to create meaningful statistics and make actionable recommendations.

These 3 Data Management Platforms Stand Out

With so many data management platforms available, it can be difficult to decipher which ones have an edge. With that in mind, here are three of the best DMPs available, as well as the unique selling points (USPs) that help each one stand out from the crowd.

1. Acceldata

Acceldata, a DMP in development that focuses on data observation, is growing. To manage all layers of data, including the infrastructure layer, data layer and data pipeline layer, the platform uses AI/ML. According to the website, data pipelines can be compared to modern supply chains for digital information.

Acceldata’s primary goal is to ensure that a company’s data supply chain is reliable and optimized. The data observability
platform detects and corrects any errors before they occur. This allows you to keep everything running smoothly. The platform can provide a quick overview of all data in a business regardless of its source, technology or scale.

Data reliability is an important aspect of data management tools. DMP Monte Carlo, a fellow DMP, focuses heavily on the reliability of its data management software. Acceldata does more than just ensure that data is reliable. It also makes sure that the data is easy to understand.

This means that humans can understand the program and reduce risk. It also speeds up execution. This allows a company to align its data strategy with its larger activities and goals.
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2. Unravel

simplicity, the key to Unravel’s DMP platform, is essential. This data management tool functions like other DMP software. It can track, analyze and maintain data from all of an organization’s APIs and touchpoints.

Unravel simplifies complex concepts even further. Unravel takes the complex components of modern tech stacks and simplifies them to an easy-to-understand level.

Unravel values factors such as comprehensive analysis and full-stack transparency. Unravel also offers specific insights tailored to each customer’s situation. The company also offers Artificial Intelligence-powered suggestions on how to resolve each issue.

Unravel’s aim is to guide customers through the data observation process, from beginning to end. Although AI can do some of the work, simple and easy-to-understand results remain the key.
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3. Pepperdata

Pepperdata is another data management platform that takes observability very seriously. Pepperdata aims to increase visibility, offer operational insights, and make recommendations for solutions.

Pepperdata also uses machine-learning automation in addition to these data observation activities. The software’s Machine Learning components follow the sequential aspects and trace them through your system.

This can help you not only identify and solve problems but also over time. This can help you understand the back-end of your system.

Although not all users will require this information, the ability to understand and expand their knowledge can make a significant difference for many customers. This is especially true for people who feel overwhelmed by modern technology’s ephemeral nature.

Numerous data management platforms are already available, and more are being developed every day. A DMP alone is not a reliable solution. It’s crucial to identify the unique characteristics that make each platform stand out.

Data observation creates a seamless, reliable, and comprehensible experience. Your DMP adventures can also be affected by other factors such as reliability, simplicity, or additional insights.

Consider what type of tool you are looking for. Which tool will be most beneficial to your business? Once you have identified the X factor, it is possible to search for that capability on any DMP platform you choose.

This will ensure that you don’t just collect and analyze data in the correct way. It will also allow you to creatively utilize it to your advantage.