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1.8.1 the information technology act, 2000 india

            The Information Technology Act, 2000 (also known as ITA-2000, or the IT Act) is an Act of the Indian Parliament (No
            21 of 2000) notified on 17 October 2000.

            The data privacy rules introduced in the Act in 2011 have been described as too harsh by a few Indian and US firms.
            As per these rules, firms need to obtain written consent from customers before collecting and using their personal
            data. This has affected US firms which outsource to Indian companies.But some companies have even embraced these
            harsh rules, saying it will remove the fear of outsourcing to Indian companies.


            1.9 What is Data govErnancE FramEWork?

            Before we know what is data governance framework, let us know the two terms associated with it:
               • Governance: It is defined as the decisions and actions of the people who run a school, nation, city or business. An
              example of governance is, the Chief Minister’s decision to increase the police force in response to the increased
              cases of thefts in the state.  According to the United Nations, Good Governance is measured by the eight factors of
              Participation, Rule of Law, Transparency, Responsiveness, Consensus Oriented, Equity and Inclusiveness, Effectiveness
              and Efficiency, and Accountability.
               • Data Governance: It is the process or procedure that organisations uses to manage, utilise, and protect  their data.
              In this context, data can mean either all or a subset of a company's digital and/or hard copy assets. In fact, defining
              what data means to an organisation is one of the data governance best practices.
            Well,  now  we  can  define  Data  governance  framework  as  a  collection  of  practices  and  processes  that  ensure  the
            authorised management of data in an organisation. It is the process of constructing a model for managing enterprise
            data. A well-defined data governance framework authorises an organisation to define guidelines and directives on
            data management.

            1.9.1 Why Data governance Framework?

            An  organisation  implements  data  governance  framework  so  as  to  achieve  better  command  over  its  data  assets,
            including the methods, technologies, and behaviours  around the proper management of data. It also deals with the
            security, privacy, integrity, and management of data flowing in and out of the organisation.

            Following are the four major pillars to keep in mind for good data management:
               • Strategy and Governance
               • Standards
               • Integration, and
               • Quality

            To be data-driven, an organisation must embrace data as a corporate asset.

            1.9.2 applying Data governance Framework
            A data governance framework supports the implementation of data governance by defining the essential process
            components of a data governance program. These essential process components of a data governance program
            includes implementing process changes to refine and manage data quality, solve data issues, identify data owners,
            construct a data catalog, generate reference data, meta data, etc.
            The following steps should be normally implemented:
               • Make business decisions that are consistent and confident, based on reliable data aligned with all the numerous
              objectives for the utilisation of the data assets within the enterprise.



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