• Get your CIMP in Data Governance

    Data governance is a relatively young discipline that is in many respects still developing. The Data Governance Institute defines data governance as "a system of decision rights and accountabilities for information-related processes." This is a big step beyond the predecessor known as data administration. Moving from administration to governance broadens the scope and has implications for many aspects of data management including cost, value, quality, security, privacy, regulatory compliance, and maturity of data management practices.

    Our Data Governance curriculum includes 11 online courses and can lead  to a Certified Information Management Professional (CIMP) accreditation

    Read more
  • Download free ebook to learn how data governance gives you a competitive edge

    Organizations that use data governance as a vitamin – not an aspirin – win in the age of data.

    Read this e-book to learn:

    • Why data governance is more than a solution to specific pain point
    • How to start – or restart – your data governance program
    • Why everyone in your organization needs the data governance vitamin
    Read more
  • How mature is your data governance practise?

    Data governance is gaining traction, yet, wven within the same organisation levels of maturity can differ grealy from business area to business area.

    Our data governance maturity assessment looks at you the maturity of your data governance program across multiple ares, and helps you to define your roadmap to improve.

     

    Read more
  • Forrester names Collibra a leader in data governance and data stewardship

    The Forrester Wave™ identifies the 12 most significant providers, and shows how each provider measures up.

    Findings from the report include:

    • Data governance stewardship and discovery are converging to serve data scientists
    • Support for data governance stewardship, data discovery, and a data catalog – along with a reputation in the data governance market – are among the inclusion criteria of the evaluated DGSD providers
    • Collibra is among the leaders in data governance stewardship and discovery and received the highest score in the strategy category
    Read more
  • ebook: 6 GDPR compliance pitfalls and how to avoid them

    The GDPR deadline is May 2018.

    If you deal with European customers or partners then you are affected

    get this eBook to learn more about managing common GDPR implementation problems

    Read more
  • TDWI Checklist Report | From Self-Service to Data-Driven

    6 ways a data catalog can help

    This TDWI checklist report considers how a data catalog helps to enable the data driven enterprise and provides 6 tactics for driving value from this important investment.

    As the importance of self-service solutions for BI, analytics, and data preparation continues to grow, the emphasis is no longer only on centralized, full-time data professionals and their institutional knowledge. We also must find a way to support the business’ needs with better-documented data assets. For many organizations, this is a data catalog.

    Organizations today need not only full-time architects, analysts, and developers to collect and maintain the wide variety of information that needs to exist in the catalog—they need business data stewards to be the primary driving force in creating and maintaining it. That’s why ensuring the data catalog is user-friendly is key to driving broad adoption. Clearly, developing BI and analytics is no longer a one-way street from IT to the business; it goes both ways and everyone must manage the information about data.

    These six tactics will demonstrate why it is critical that every organization implement a data catalog and how your enterprise can create value with this important investment.

    Read more

Lean Data Governance

data governance iconData Governance provides context for using the correct data, defines policies and standards for the appropriate use of data, and ensures that data management is aligned to business strategy.

By definition, data governance must therefore be business driven.

Active data governance shifts the focus of data governance from remediation - fixing data problems once they have occurred - to prevention - putting the appropriate policies and checks in place to stop poor quality data from entering your systems.

Our approach to data governance combines education, consulting and the world’s leading data governance centre.

Automation ensures data governance processes are followed, saves time, and provides a repository to store and govern critical data assets.

Our lean approach to Active Data Governance drives allignment between business and IT while reducing waste

DATA GOVERNANCE EDUCATION  

DATA GOVERNANCE CONSULTING 

DATA GOVERNANCE CENTRE

The goal of data governance is to ensure that the organisation eliminates waste, reduces risk, and maximises the value that is derived from data.

Yet, in most cases, data governance initiatives struggle to get traction. This may be because the "command and control" approach of typical governance approaches is counterproductive - rather than enabling the business it creates additional layers of bureaucracy and effort for no perceived reward.

lean-data-governance-approach

Power your business with Lean Data Governance!

Of course, organisational structure, policies and processes are important, but too much focus on these components can result in significant unnecessary costs and overheads. A lean approach to data governance focuses on enabling collaboration between data management teams and their business stakeholders while eliminating wasteful processes and elements.

A lean data governance approach follows a balanced, bottom-up strategy to identify and prioritise key governance elements that will add value for individual project teams and business stakeholders. Value and return on investment (ROI) are the key drivers that will create buy in from senior stakeholders, other project teams and additional business areas. They will also generate support for the incremental addition of appropriate additional governance elements as the organisation's understanding of governance matures.

A mature organisational culture will, in turn, lead to the establishment of an appropriate data governance structure to coordinate data management at the enterprise level. 

 

get the lean data governance whitepaper   get the Collibra Data Governance Centre datasheet  get the whitepaper organising for enterprise data quality get the big data governance datasheet 
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