Data Quality Management

Make your data work for you

Turning Data into Information

You are responsible for the business processes in your department. You need to know what’s going on, but you have more data than you can handle.

Until the data is clean and available, critical facts and figures stay unknown. Turning this data into information takes special care and know-how.

The road to insight starts with managing the quality of your data. Don’t let low-quality data stop you from getting ahead.

T2S data analysts help you each step of the way toward crystal clarity. This clarity, in turn, will show in your results.

Read our article with five tips for optimizing data quality and meet our data specialists.

  • Make Your Data Visible
  • Find The Truth Hidden In Your Data
  • Manage your Data
  • Track Its Quality
  • Boost Your Results

5 Steps to Optimal Data Quality

Data quality management is one of those concepts that is hard to define and hard to put into practice. Reason enough for us to put together a simple and practical 5-step guide 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 keep the results.

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

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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).

Optimize your article data

If you would like to exchange your article data with your customers your master data should be in order. Online retailers like Amazon,, Ahold, Intergamma require that you exchange your data according to the GS1 standards. T2S Data Analyst Stefanie Polfliet wrote a blog about ‘GS1 code management – know how’ and the importance of data quality.

“For GS1 codes to be properly managed you need to view them as an important part of your master data. If that doesn’t help because your master data is a tad, well, messy, then I honestly recommend cleaning that up. It can be a bit like paperwork at home, you kept all the important stuff like you should, but it ended up on one big pile that still needs filing et cetera. Trust me, the sooner you clean up that pile the better, it’ll only keep getting messier after all.”

Read the full article on GS1 code management and the importance of data quality.

Data Quality

Data Quality Monitor

The T2S Data Quality Monitor helps you to tackle data quality issues. It provides that kind of insight that makes it possible to improve and maintain data quality.

Start using the Data Quality Dashboard today to see for yourself how it can help you.

Client Results

“ We are most certainly pleased by the display of expertise and know-how by Type 2 Solutions. While many IT projects tend to be tedious, the data management project here was really painless. The data quality dashboard was set up in very little time and enables us to analyze the situation at a moment’s notice. Thanks to the involvement and proactivity of Type 2 Solutions, 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
“ Type 2 Solutions has handled this job to our fullest satisfaction. Their approach has been utterly professional and thoroughly organized. Another important fact is that they really got into our business processes. ”
Patrick Dankaart Technical and Maintenance Manager at N.V. Westerscheldetunnel
“ Type 2 Solutions’ proven methodology, unambiguous risk analysis, and hands-on approach have helped us achieve our goals in this project. The data specialists at Type 2 Solutions 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

Let’s talk data business

Feel free to contact us to discover the possibilities for your company. Please leave your details and we will contact you as soon as possible.

    Frequently asked Questions (FAQs) about data quality management

    Data quality is the extent to which data is suitable for its intended use and purpose. Depending on your business operations and the purpose, you set requirements for the data.

    Complete, accurate, actionable, and current data are invaluable to your organization. Only then will you be able to act decisively and successfully. Nevertheless, there is a lot of uncertainty about managing data quality, let alone how best to approach optimizing data quality. A one-time fix for a specific customer or vendor, implementing a new IT system or setting up a data warehouse is not enough. Invest as an organization in a long-term solution.

    Data quality management is an administrative task that incorporates policies, responsibilities, and processes with regard to the acquisition, maintenance, disposition, and distribution of data. Agreements have also been made in this process about the deletion of data.

    The optimization and above all the preservation of data quality requires discipline and planning. Short data quality optimization stints are like bad diets: they do yield short-term results but end up in a yo-yo effect in the long term. View data management as a strategic advantage for your organization. Make data quality an integral part of your business operations and deploy data quality monitoring software. This means that the quality of huge amounts of data can be continuously monitored, and the data manager immediately receives a signal if there are exceptions. By using this process, the data quality and the data quality optimization process are continuously improved.

    If you optimize once, you will be back at the same level as before or worse in no time! Data is constantly changing, and it is important to always check the quality and make corrections if necessary. In that sense, it’s like keeping up with woodwork outside. Regular inspections and periodic maintenance give the facade a more attractive appearance. In addition, you increase its lifespan. While at the same time preventing unpleasant consequences, such as wood rot and raining in, which can arise due to poor maintenance.

    It is not easy to put a price tag on ‘poor’ maintenance. This is strongly influenced by its consequences. The costs can vary from a few euros per customer, when mail is returned, to thousands or hundreds of thousands of euros in damage as a result of incorrect data on an invoice, customs document, or label. Therefore, do not focus on a specific amount, but invest in a long-term solution. Continuously safeguard your data quality to gain a strategic advantage in retaining customers or bringing in new customers.