More and more companies are adopting a data governance plan that ensures the quality of information and guarantees privacy and confidentiality.
As the need for deep customer knowledge to meet their needs and protect the data they provide to businesses increases, adopting strategies to manage information quality becomes critical.
Without a doubt, data has become the raw material of the information economy and data governance is a strategic imperative. What are the key factors to achieving this?
Effective Data Governance: The Guide to employment database Errors and Achieving Data Governance Goals
Around 74% of data professionals believe that data quality is the main driver for governance implementation in their organizations.
Source: Zaloni and Dataversity
What is data governance?
Data governance aims to increase the quality of information received and managed by the company and to obtain the right data from the right people at the right time. With this, organizations seek to take advantage of new opportunities and not simply operate by reacting to events.
Having real-time access to information is crucial: knowing where the data resides, which is the most valuable, and calculating the probability of risk and the cost to the organization if it is breached is very important.
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Creating a roadmap, key to the success of Data Governance
Beyond new methods for protecting data, effective data governance can play a critical role in driving new opportunities and retaining existing customers by improving data quality and business intelligence.
According to a survey by McKinsey, 17% of data professionals said their companies have a dedicated data governance committee that includes legal and risk professionals.
Source: McKinsey
6 Simple Steps to Successful Data Governance
Designate a data governance officer: Identifying an individual within the organization to whom the CEO can delegate authority is critical. Once established, this officer can create a “governance council” comprised of stakeholders within the organization to formulate stewardship standards and report back to management.
Study the situation: Examining current practices across domains requires a data governance business assessment methodology. This seeks to determine where the organization's data governance program stands today and provide a roadmap for the future.
Achieve Data Governance that ensures the quality of information
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