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From Chaos to Clarity:



                               Harnessing The Power of Data


                                      Quality and Governance


                                                                     The interdependence between the two is
                                                                     evident: robust data governance frameworks
                                                                     support high data quality by defining
                                                                     standards and accountability. Conversely,
                                                                     data governance loses effectiveness if the
                                                                     data  lacks  quality,  as  poor-quality  data
                                                                     weakens trust and undermines decision-
                                                                     making.

                                                                     Why They Matter



            CA Dharmendra Kapoor                                     Organisations excelling in both domains
                                                                     are better equipped for strategic decision-
            Partner, Saraf & Chandra                                 making, innovation, and gaining a
            kapoor@sarafchandra.com                                  competitive edge. On the other hand,
                                                                     neglecting these areas leads to “data chaos,”
           Laying the Foundation - Understanding                     hindering data-driven processes and
           Data Quality and Governance                               eroding trust in information.


           In today’s data-centric world, organisations are          Distinguishing the Essentials - Data
           inundated with vast volumes of information. While         Quality vs. Data Governance
           data is invaluable, it presents challenges in ensuring
           accuracy, consistency, and reliability. As companies      While data quality and governance are
           recognise data as a strategic asset, the focus on data    interconnected, each plays a unique role in
           quality and governance becomes essential.                 organisational data management.


                                                                     Understanding Data Quality


                                                                     Data  quality  refers  to  characteristics  that
                                                                     render data suitable for its intended use.
                                                                     High-quality data allows organisations
                                                                     to make informed, accurate decisions,
                                                                     while  poor-quality  data  results  in  errors,
                                                                     inefficiencies, and mistrust.

                                                                     Key Attributes of High-Quality Data:
           Defining Data Quality and Data Govenance
                                                                     1. Accuracy: Reflects accurate
           • Data Quality ensures that data is accurate, complete,   representations of real-world entities.
           consistent, reliable, and timely—fundamental for          2. Completeness: Encompasses all
           trusted decision-making.                                  necessary information.
                                                                     3. Timeliness: Remains up-to-date for
           • Data Governance involves the policies, roles, and       relevance.
           processes that ensure data is managed consistently        4. Consistency: Aligns across systems
           and securely across the organisation.                     without contradictions.
        INTERNAL AUDIT TODAY                                                        INSIGHT EXCHANGE  | 43
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