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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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