What is Data Governance?

What is Data Governance?

Data governance is a principled approach to managing data during its life cycle, from acquisition to use to disposal.?

Every organization needs data governance. As businesses throughout all industries proceed on their digital-transformation journeys, data has quickly become the most valuable asset they possess.

Senior managers need accurate and timely data to make strategic business decisions. Marketing and sales professionals need trustworthy data to understand what customers want. Procurement and supply-chain-management personnel need accurate data to keep inventories stocked and to minimize manufacturing costs. Compliance officers need to prove that data is being handled according to both internal and external mandates.

Data governance defined

Data governance is everything you do to ensure data is secure, private, accurate, available, and usable. It includes the actions people must take, the processes they must follow, and the technology that supports them throughout the data life cycle.

Data governance means setting internal standards—data policies—that apply to how data is gathered, stored, processed, and disposed of. It governs who can access what kinds of data and what kinds of data are under governance. Data governance also involves complying with external standards set by industry associations, government agencies, and other stakeholders.?

What are the benefits of data governance?

Make better, more timely decisions

Users throughout your organization get the data they need to reach and service customers, design and improve products and services, and seize opportunities for new revenues.

Improve cost controls

Data helps you manage resources more effectively. Because you can eliminate data duplication caused by information silos, you don’t overbuy—and have to maintain—expensive hardware.

Enhance regulatory compliance

An increasingly complex regulatory climate has made it even more important for organizations to establish robust data governance practices. You avoid risks associated with noncompliance while proactively anticipating new regulations.

要查看或添加评论,请登录

Vanshika Munshi的更多文章

  • Key Data Engineer Skills and Responsibilities

    Key Data Engineer Skills and Responsibilities

    Over time, there has been a significant transformation in the realm of data and its associated domains. Initially, the…

  • What Is Financial Planning? Definition, Meaning and Purpose

    What Is Financial Planning? Definition, Meaning and Purpose

    Financial planning is the process of taking a comprehensive look at your financial situation and building a specific…

  • What is Power BI?

    What is Power BI?

    The parts of Power BI Power BI consists of several elements that all work together, starting with these three basics: A…

  • Abinitio Graphs

    Abinitio Graphs

    Graph Concept Graph : A graph is a data flow diagram that defines the various processing stages of a task and the…

  • Abinitio Interview Questions

    Abinitio Interview Questions

    1. What is Ab Initio? Ab Initio is a robust data processing and analysis tool used for ETL (Extract, Transform, Load)…

  • Big Query

    Big Query

    BigQuery is a managed, serverless data warehouse product by Google, offering scalable analysis over large quantities of…

  • Responsibilities of Abinitio Developer

    Responsibilities of Abinitio Developer

    Job Description Project Role : Application Developer Project Role Description : Design, build and configure…

  • Abinitio Developer

    Abinitio Developer

    Responsibilities Monitor and Support existing production data pipelines developed in AB Initio Analysis of highly…

  • Data Engineer

    Data Engineer

    Data engineering is the practice of designing and building systems for collecting, storing, and analysing data at…

  • Pyspark

    Pyspark

    What is PySpark? Apache Spark is written in Scala programming language. PySpark has been released in order to support…

社区洞察

其他会员也浏览了