7 lies of Data Catalog Providers

Things you should know before buying a solution

Guillaume Bodet - CEO - Zeenea



Data Quality usually refers to a company’s ability to ensure the longevity of its data. At Zeenea (a data catalog provider), we believe Data Quality is ensured through the 9 following dimensions - all essential to extract value to your company:

🔸 Completeness

🔸 Accuracy

🔸 Validity 

🔸 Uniqueness

🔸 Consistency

🔸 Timeliness

🔸 Traceability

🔸 Clarity

🔸 Availability

We will detail these dimensions with the help of a simple example in part one. We will then elaborate on how Data Quality management is an important challenge for organizations seeking to extract maximum value from their data.

We will also draw parallels between these different Data Quality dimensions and the different risk management phases to overcome - identification, analysis, evaluation, and processing. This will enable you to hone your risk management reflexes by tying in Data Quality improvement processing to a company objective (and evaluating the ROI on each quality dimension).

Once we have established the main features of an enterprise Data Quality management tool, we will detail how a Data Catalog - though not a Data Quality tool - can contribute towards Data Quality improvement (through the clarity, availability, and traceability dimensions mentioned above).


The Data Catalog market has developed rapidly, and it is now deemed essential when deploying a data-driven strategy. Victim of its own success, this market has attracted a number of players from adjacent markets.

These players have rejigged their marketing positioning in order to present themselves as Data Catalog solutions.

The reality is that, while relatively weak on the data catalog functionalities themselves, these companies attempt to convince, with degrees of success proportional to their marketing budgets, that a Data Catalog is not merely a high-performance search tool for data teams, but an integrated solution likely to address a host of other topics.

The purpose of this paper is to deconstruct the pitch of these eleventh-hour Data Catalog vendors.

Here are, in my opinion, the 7 lies of the Data Catalog vendors:

🚫  A Data Catalog is a Data Governance platform,

🚫  A Data Catalog can measure and manage data quality,

🚫  A Data Catalog can manage regulatory compliance (GDPR for instance),

🚫  A Data Catalog can query data directly,

🚫  A Data Catalog can model logical architecture and business processes around data,

🚫  A Data Catalog is a collaborative cartography and metadata management tool that cannot be automated,

Discover the 7th lie by downloading our White Paper!

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