Enterprise Data Management

Data Quality and Governance

Data is hot. More and more organizations are turning to data to support their business or are using it as a guide to develop new products and services. For this to actually succeed, it is important that the continuous inflow of data is well managed. A Positive Digital Flow is achieved, among other things, by the extent to which you can efficiently and effectively align and exploit the data within your organization.

The purpose of data management is to manage data flows end-to-end so that the right quality data is available, accessible and secure. Below we explain which components are important in our vision to achieve good data quality and governance. Depending on the specific needs, we can help to set up, improve or integrate these elements into a broadly supported data strategy and culture.

Our Solutions

Data Quality

Data Quality

Data quality is an important prerequisite for good data analysis, because it is the principle of "garbage in, garbage out" that applies. Many companies today are still wrestling with quality problems, such as duplicate, inconsistent or incomplete data. Audits, data quality monitoring, the establishment up of a data quality policy or automatic standardization and cleaning of data can provide a solution here.
Master Data Management

Master Data Management

Master data management (MDM) centralizes and manages data that plays a key role in a company's operations, such as customers, suppliers or products. This gives you a reliable and, above all, uniform view of data.
Data Governance

Data Governance

Data governance is the proactive management of data to support the organization in achieving objectives and strategies. It is not an end in itself, but an instrument to extract as much value as possible from data.
GDPR

GDPR

The new European privacy legislation, GDPR, requires new procedures, for example, for the collection and storage of personally identifiable information (PII). The right to be forgotten is also included in the new legislation.
Datamigratie

Datamigratie

Whenever you move to a new IT system, for whatever reason, there is a need for data migration. Maintaining data quality is one of the priorities here.
Meta Data Management

Meta Data Management

Metadata management means managing "data about data". This makes it possible to interpret the data on a uniform basis.
Data Lineage

Data Lineage

Data lineage is about managing and monitoring data throughout the entire data lifecycle. It is a key tool in managing data quality over the entire lifecycle.
Connect Everything

Connect Everything

Many things need to be integrated into a modern data landscape, from a wide range of sources.
Related solutions
Data & AI

To become a data-driven company, you need to move from creating reports to generating new business value through data by making new correlations, predictions, or automations.
Artificial Intelligence

AI can help you make better decisions faster.
Microsoft Power BI

Go for the latest advanced visualization techniques, allowing you to deliver data to your team, and to take optimum business decisions based on accurate information.
Data Driven Manufacturing

Manufacturing companies are constantly seeking ways to improve their production processes.
Data Driven Marketing & Sales

Use various customer data sources to generate insights and trends and turn these into targeted and automated marketing and sales actions. 

Sign up for our newsletter

Would you like to receive our newsletter and stay informed about your preferred topics? 

Sign up here