After two decades of effort on the part of companies to better collect, analyze and understand data, we can only conclude that many professions still have only limited access to data, and that the democratization of its use is still wishful thinking. Yet we know that data is an essential element in improving performance. Companies…
Read article
A “data swamp” occurs when data is stored in a disorganized and unstructured way, making it difficult to use and understand. The data becomes unusable, without any value, so there’s poor data management. To avoid a data swamp, it’s important to implement effective data governance processes. Here are a few tips on how to achieve…
Read article
Data traceability has become a major issue. By implementing effective data traceability systems, organizations can protect the privacy of individuals, guarantee the security of their systems, comply with data protection regulations, assume their social responsibilities and optimize their processes. Let’s take a closer look at these famous processes: Data traceability is a key element of…
Read article
Orkestra is a business data orchestration platform that enables businesses to increase the quality and traceability of the data they produce and share. At the heart of the system, Orkestra has developed a data labeling technology. Data tagging involves assigning labels (or tags) to data to facilitate its search, organization and classification. Tags can be…
Read article
DICS Pyramid, Data Governance, Traceability, Tags and Actions, or how to access Wisdom? “True strength begins with wisdom.” The DICS pyramid (for Data, Information, Knowledge and Wisdom) represents the entire data value chain. More than just a data classification method, it could be presented as an objective for all corporate data governance. Apart from the…
Read article
Business data governance is a complementary and more operational approach than enterprise data governance and is the starting point towards a data organization oriented towards Domains and Data Mesh. Although complex to implement, business data governance is nonetheless essential to support the proper use of data at business level. This approach’s success can only be…
Read article
Data monitoring is an essential step in data governance. It involves continuously monitoring the quality of data and ensuring that it is used in accordance with the organization’s policies and procedures. Data monitoring can be carried out in several ways, such as: Data quality monitoring This step involves monitoring data quality to ensure that it…
Read article
Imagine that, despite all the efforts made by organizations to centralize, organize, catalog and exploit data, a significant proportion escapes any form of “governance”. We call this Shadow Data. So where does it come from? Well, mainly from the business units, who, far from wanting to make a mess of this organized data management, find…
Read article
