Data Governance

SCENARIO

Organizations often face challenges in unlocking the value of data due to internal conflicts or data issues , which have multiple causes.​ Data proliferation has caused big volumes of data on one hand and created data silos on the other.​ Data issues are often due to the lack of streamlined data-related processes in your organization, adoption of the right evaluation metrics and tools, which prevent you from correctly using data to make informed decisions or actions.


WHAT DATA GOVERNANCE IS ABOUT?

Data governance is a defined process an organization follows for assessing, managing, using, improving, monitoring, maintaining and protecting organizational data to drive business outcomes. Data Governance is about deciding what the data means, where it should be used, how accurate it needs to be, and what rules it needs to follow. It is the ability to find the data, resolve any data issues, and create associations across the data.

DATA MASTERING

KEY PROCESSES AND TOOLS TO ACHIEVE THE TARGET

Data Lineage: reveals how data transforms and flows from origin to destination and across interactions with systems, applications, processes, reports and more. It shows how data are built, aggregated, sourced and used, providing complete, end-to-end lineage visualization.

Data Catalog: allows business owners to leverage on the data they care about and have full confidence in using that data to drive business decisions.​

Starting a Data Governance Program

  • Create the Operating Model

    • Define roles and responsabilities

    • Identify stakeholders

    • Set up the organizational framework

    • Form a Data Governance Committee with representatives from each business function who can take ownership of the data

  • Identify

    Data Domains

    • Understand business problems

    • Mange key information assets

    • Align definitions across the organization

    • Map domains to business problems, enabling a betetr understanding of data sources, reports, and their impact on various business functions

  • Identify Critical Data Elements

    • Focus on what is essential for your business

    • Narrow down your data governance program to mange key elements effectively, such as crucial reports or data definitions

  • Define Control Measurements

    • Set up automated workflow processes to your data governance structure

    • Apply these processes to your data governance structure

    • Develop reports to measure progress

    • Implement a feedback process to continuously improve and adapt to changes in your organization

CONCLUSION

Our expertise consists of data intelligence, agile feedback refinement and seamless cloud/on-premise integration in different environments.

Live Reply is Collibra partner, covering several customer needs with a cross-skilled and certified pool of professionals, able to implement

the Big Data Funnel.

The company consists of a team having Collibra-certified experts: Data Analysts, Data Stewards, Data Architects, Workflow Engineers.


Let's start working together right now. Drop us a line at to know more.