Data Management Maturity Scan

The Data Management Maturity Scan allows you to assess the readiness of your company to get in control of the data you manage. It means providing required data to whoever needs it at the necessary time and place and of expected quality.

The scan is designed to be used by data management professionals and means to provide you with the following:

  • A high-level estimation of the current status of Data Management in your company
  • A recommendation for actions that will promote growth and improvement of your Data Management framework in the next 3 months
  • Estimation of required resources.

Latest articles

1603, 2025

Reshaping Data Governance: Integrated Implementation

By |March 16th, 2025|

This article discusses the integrated implementation approach for data governance. The first article in this series discussed why organizations may need to reassess their existing frameworks and highlighted what should be done. The second article [...]

1103, 2025

Reshaping Data Governance: A Roadmap

By |March 11th, 2025|

This article is about a roadmap for reshaping data governance. The previous article of this series discussed why organizations may need to reassess their existing frameworks and outlined what should be done. However, the most [...]

403, 2025

Reshaping Data Governance: Challenges

By |March 4th, 2025|

Let's talk about challenges in reshaping data governance. This first article of the series examines the most significant challenges organizations encounter when implementing or reshaping governance frameworks. The analysis of these challenges has identified actionable [...]

E-books

MAKE YOUR DATA WORK FOR YOU

A quick guide to data management for financial executives

This book will show you what you can do with your data in order to enhance the efficiency and success of your company.

Find out what data management is and what it means for you and your business.

Discover how data management will help you increase efficiency and reduce the cost of your daily operations.

Learn how to set up data management in your company in 5 steps.

DATA QUALITY NAVIGATION

For finance professionals

Learn how the quality of data influences your daily tasks and how optimizing it can help you save time and money.

Calculate financial implications of poor data quality.

Create an action plan for improving the quality of your data.

Follow 7 steps that will lead you to results.

Whitepapers

DM Maturity review 2023

DATA MANAGEMENT MATURITY ASSESSMENT REVIEW 2023

If your company has already started a data-related initiative, you may find it interesting to compare your results with the achievements of peers in the industry.
 
The Data Management Maturity Review will:
 

Show you how other companies worldwide do in data management.

Help you get a clear view on the results of data management activities in your company and provide you with tips for future development.

 Discuss general developments in data management maturity worldwide between 2019 and 2023.

DATA MANAGEMENT MATURITY ASSESSMENT REVIEW 2022

If your company has already started a data-related initiative, you may find it interesting to compare your results with the achievements of peers in the industry.
 
The Data Management Maturity Review will:
 

Show you how other companies worldwide do in data management.

Help you get a clear view on the results of data management activities in your company and provide you with tips for future development.

 Discuss general developments in data management maturity worldwide between 2019 and 2022.

data management maturity assessment review 2021 data crossroads

DATA MANAGEMENT MATURITY ASSESSMENT REVIEW 2021

If your company has already started a data-related initiative, you may find it interesting to compare your results with the achievements of peers in the industry.
 
The Data Management Maturity Review will:
 

Show you how other companies worldwide do in data management.

Help you get a clear view on the results of data management activities in your company and provide you with tips for future development.

 Discuss general developments in data management maturity worldwide between 2019 and 2021.

DATA MANAGEMENT MATURITY ASSESSMENT REVIEW 2020

If your company has already started a data-related initiative, you may find it interesting to compare your results with the achievements of peers in the industry.
 
The Data Management Maturity Review will:
 

Show you how other companies worldwide do in data management.

Help you get a clear view on the results of data management activities in your company and provide you with tips for future development.

 Discuss general developments in data management maturity worldwide from 2019 to 2020..

DATA MANAGEMENT MATURITY ASSESSMENT REVIEW 2019

If your company has already started a data-related initiative, you may find it interesting to compare your results with the achievements of peers in the industry.
 
The Data Management Maturity Review will:
 

Show you how other medium-sized companies do in data management.

Help you get a clear view on the results of data management activities in your company.

Provide you with insights and tips for future development.

GDPR MEETS DATA MANAGEMENT

Read this book and learn how to use Data Management to make sure your business is compliant with the General Data Protection Regulation (GDPR)
 

ind out how GDPR effects your business and what data management has to do with all of it.

Learn about different short-term and long-term strategies and how to choose which one is right for your company.

Get to know what actions you need to undertake on short term. We will guide you through this step-by-step and help you make an effective action plan.

Presentations

VIDEO

DATA MANAGEMENT MATURITY TRENDS
2020 VS 2019

MAPPING AND COMPARING METAMODELS:
DAMA-DMBOK2, DCAM 2.2, TOGAF 9.2

DATA LINEAGE FROM BUSINESS PERSPECTIVE

SERIES:

PRACTICAL APPLICATION OF THE “ORANGE” MODEL OF DATA MANAGEMENT

1. A PRACTICAL APPROACH TO DEVELOPMENT AND OPTIMIZATION OF DATA MANAGEMENT

2. DEVELOPING A DATA STRATEGY

3. DEVELOPING AND PERFORMING A DATA MANAGEMENT MATURITY ASSESSMENT

4. IMPLEMENTATION / OPTIMIZATION OF THE DATA MANAGEMENT FUNCTION

5. OPTIMIZATION OF A DATA MANAGEMENT CAPABILITY

6. DESIGNING DATA MANAGEMENT / DATA GOVERNANCE ROLES

7. SETTING UP PERFORMANCE MANAGEMENT FOR THE DATA MANAGEMENT FUNCTION

OTHER

A COMPARATIVE STUDY OF DATA MANAGEMENT MATURITY MODELS