Data Governance that works
Data governance is a term that is often used but seldom interpreted in the same way by all parties. At element61 we integrate some form of data governance in all our service offerings (data modelling, data architecture, data warehousing & business intelligence…).
But some topics are so specific that for element61, our specialized data governance offering focuses on three main areas:
Data Profiling & Data Quality
Trust in data is important if you want your organization to become data-driven. But is your data worthy of trust? And even if it is, can you convince others to put aside their skepticism and use your data to make important business decisions? Data profiling provides insight and statistics into your data to discover and quantify quality issues or to provide assurance that your perceived data quality is indeed a reality.
Metadata & Business Glossary
Just like your data gives you insight into your business, metadata will grant you insight into your data. Data without context is tricky to understand and navigate. By cataloging your data and adding valuable business context in a Business Glossary, you enable your organization to really make use of your data.
Reference & Master Data
Some data is just so important, that it deserves some special attention. Reference data and master data are the building blocks of your operations, as well as your business analytics.
To ensure that you can analyze data from all over the organization in a robust manner, often master data management is a key requirement to obtain your golden records across departements, functions and operational systems.
At element61 we believe that data governance is crucial and unfortunately often overlooked. But as you progress with your data initiatives, it often becomes more apparent that data governance is key to truly maximizing the value of your efforts in Analytics.
Good data governance is not just a theoretical framework which lacks tangible outcomes.
It can address the following problems that occur in most organizations:
- You are modeling your data warehouse but notice that your master data is not aligned between sources.
- Your data contains duplicate records or is missing information that was supposed to be mandatory.
- Your data platform is in production, but you see that adoption is not as intended, because users do not trust its content or do not fully understand business definitions and calculations.
- You need to report on what personal data exists in your organization -for GDPR purposes- but have no idea how to compose a complete overview.
This is truly what Data Governance is all about, and you will experience concrete business benefits, be it better adoption, less rework, accurate and faster decision-making, avoiding regulatory fines…
If you have a specific use case in mind or want to know where to get started, contact us for more information on our recommended solutions, Data Governance maturity scans or Data Governance roadmaps.