Data Quality Dashboard

Improve and maintain data quality

Empower Yourself

Data is a crucial production factor, and high-quality data will boost your daily operations. T2S gives you the tool to make data work: the Data Quality Monitor. The fast and easy tool that tracks the quality of your data.

You will get the peace of mind that comes with being in control.

  • Guard the quality standards for newly-entered data
  • Keep exceptions to these standards in plain view
  • Track the level of data quality over time
  • Organize your monitored data by topic for easy access
  • Boost results with up-to-date, complete and correct data

Real Data Insight

The Data Quality Monitor gives you clarity. It empowers you to steer by the realities in your data. Say goodbye to vague estimates and guesswork. From now on you can deal in facts.

The clarity is not just there for a week or a month; using the data quality dashboard leads to continuous improvement of your data. Over time, the facts keep adding up, and you get progressive insight.

The video shows you how it works.

Start today: 5 Steps to Optimal Data Quality

Optimize your data quality with this simple and practical 5-step guide we put together to help you to get a grip on data quality.

Step 1. Define the kind of data to be collected and the elements within that data which should be optimized.

Step 2. Define rules for each data element and automate the control mechanisms.

Step 3. Assign the responsibility for the optimization of a data entity to a single person.

Step 4. Automate data validation according to their definition, and store results automatically with the Data Quality Monitor.

Step 5. Correct exceptions and adjust their definition if necessary.

How does it work?

Data is extracted from the data source of an application (step 1). This data is automatically evaluated by the Data Quality Monitor (step 4), according to the business rules resulting from the data definitions (step 2). Exceptions to those business rules are detected, collected, and presented to the data owner (step 3), who can now take appropriate corrective action, either by correcting the data, or by fine-tuning the data definitions.

By repeatedly going through this process, a continuous improvement of the quality of the data, and of the optimization process leading to it, is achieved (step 5).

Client Results

“ The Type2Solutions framework, with the Migration Platform and the Data Quality Dashboard, turned out to be the ideal combination to get a grip on our article master data. The Data Quality Dashboard continuously monitors data quality and gives us a deeper understanding of the issues. Thanks to the involvement and proactivity of Type2Solutions, we have gained back the control and understanding of our business. The data makes sense again, which provides clarity, relief and structure. ”
Roel Frissen Operations Manager at NedZink
“ Type2Solutions’ proven methodology, unambiguous risk analysis, and hands-on approach have helped us achieve our goals in this project. The data specialists at Type2Solutions are experts in their domain and extremely efficient. By proficiently managing activities and deliverables, they have succeeded in making crucial advances in a very short time. I have thoroughly enjoyed working with them on this project. ”
Ruben Alebregtse Finance Director at Veenman

Would you like to try out the Data Quality Monitor?

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