The Data Catalog is Dead, Long Live the Data Marketplace!
Luc Legardeur | Co-founder & CEO, Zeenea
Overview
Data Quality usually refers to a companyโs 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:
๐ธ Completeness
๐ธ Accuracy
๐ธ Validity
๐ธ Uniqueness
๐ธ Consistency
๐ธ Timeliness
๐ธ Traceability
๐ธ Clarity
๐ธ 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).
Overview
The data management landscape is rapidly evolving, with a market trend towards decentralization. Traditional data catalogs can no longer meet companies' growing needs in data discovery, governance, and utilization.
In this ebook, Luc explores the limitations of traditional approaches and introduces the innovative concept of the Enterprise Data Marketplace (EDM) as a solution to modern challenges. You will discover:
โ The main reasons why traditional data catalogs fail to meet organizational needs and why they will disappear.
โ The innovative concept of an internal data marketplace for a company and how the EDM offers advanced search, discovery, and governance capabilities.
โ Ten tips for successfully implementing your data marketplace, inspired by the experiences of pioneers in the field to deploy an EDM.
Overview
Data Quality usually refers to a companyโs 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:
๐ธ Completeness
๐ธ Accuracy
๐ธ Validity
๐ธ Uniqueness
๐ธ Consistency
๐ธ Timeliness
๐ธ Traceability
๐ธ Clarity
๐ธ 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).
ยซ As the CEO and co-founder of Zeenea, a data catalog provider, it may seem paradoxical to announce the imminent demise of our market. In this ebook, I will attempt to enlighten you on the reasons for this seemingly pessimistic analysis and offer perspectives on the evolution of the data catalog market. In our view, it must evolve towards internal data marketplaces within organizations. This concept is the Enterprise Data Marketplace at Zeenea, which builds on the main strengths of modern data catalogs.
However, I am convinced that only a few vendors will manage to make this transition. Many current data catalogs are based on monolithic and inadequate technological choices, making this essential evolution difficult. ยป
![Luc Legardeur Luc Legardeur](https://info.zeenea.com/hs-fs/hubfs/luc%20photo%202023.png?width=400&height=365&name=luc%20photo%202023.png)
Luc Legardeur
Co-founder & CEO
Zeenea