Data Governance Statistics

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Steve Goldstein
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Data Governance Statistics 2023: Facts about Data Governance outlines the context of what’s happening in the tech world.

LLCBuddy editorial team did hours of research, collected all important statistics on Data Governance, and shared those on this page. Our editorial team proofread these to make the data as accurate as possible. We believe you don’t need to check any other resources on the web for the same. You should get everything here only 🙂

Are you planning to form an LLC? Maybe for educational purposes, business research, or personal curiosity, whatever the reason is – it’s always a good idea to gather more information about tech topics like this.

How much of an impact will Data Governance Statistics have on your day-to-day? or the day-to-day of your LLC Business? How much does it matter directly or indirectly? You should get answers to all your questions here.

Please read the page carefully and don’t miss any words.

Top Data Governance Statistics 2023

☰ Use “CTRL+F” to quickly find statistics. There are total 25 Data Governance Statistics on this page 🙂

Data Governance “Latest” Statistics

  • An average user spends 2 hours each day searching for relevant information (Mckinsey).[1]
  • Only 3% of data in a company firm is of high quality (Harvard Business Review).[1]
  • Bad data costs the firm 12% of its revenue (Experian Data Quality).[1]
  • 27% of data in the world’s largest corporations is erroneous (Gartner).[1]
  • In a company, 60-73% of data is never successfully used for any strategic purpose (Forrester).[1]
  • 84% of commercial enterprise digital transformation attempts fail (Forbes).[1]
  • 77% of worldwide customers would cease doing business with a company that lost or misused their data, and 32% had opted out of tailored advertising in the last year.[2]
  • The Data Governance Market was worth USD 1.81 billion in 2020 and is expected to be worth USD 5.28 billion by 2026, growing at a CAGR of more than 20.83% over the forecast period.[2]
  • Over the following five years, the Data Governance Market is expected to develop at a CAGR of 20.83%.[2]
  • On average, 65% of contact information supplied by online web forms is incorrect.[2]
  • By 2025, the quantity of data created, gathered, or copied in China will have increased from 7.8 zettabytes to 48.6 zettabytes, accounting for 27.8% of total world data generation.[2]
  • Data quality and completeness are cited as the most difficult marketing data management challenges by 54% of firms.[2]
  • 57% of marketers are experiencing poor outcomes as a result of data misinterpretation.[2]
  • Business spending on first-party data management, procedures, and integration increased 9.8% to $5.5 billion in 2019, whereas third-party data management investments increased just 6.1% to $11.9 billion during the same year. (IAB)[3]
  • Data maintenance issues cost firms more than $600 billion every year. (TDWI)[3]
  • Data quality concerns are predicted to cost the US economy $3.1 trillion each year. (IBM)[3]
  • Within the next two years, internal data management utilizing a combination of commercial and homemade systems is expected to expand by 40%. (Digital Deloitte)[3]
  • Within two years, the cost of fully outsourced data management will decline by 48%. (Digital Deloitte)[3]
  • The average company now has 17 distinct technological apps that house client data. (Digital Deloitte)[3]
  • By 2025, the quantity of data created, gathered, or copied in China will have risen from 7.8 zettabytes in 2018 to 48.6 zettabytes, accounting for 27.8% of global data generation. (IDC)[3]
  • Regarding how company executives deal with data, 70% of their time is spent finding data and just 30% of their time is spent evaluating it. (IBM)[3]
  • Data quality and completeness are cited as the most difficult marketing data management challenges by 54% of firms. (Invespcro)[3]
  • 57% of marketers are experiencing poor outcomes as a result of data misinterpretation. (Wharton)[3]
  • 47% of new data gathered by firms have one or more major mistakes. (HBR)[3]
  • According to the 2019 Global Data Transformation Survey, respondents spent an average of 30% of their total enterprise time on non-value-added tasks due to poor data quality and availability.[4]

Also Read

How Useful is Data Governance

One of the key benefits of implementing data governance is the increased quality and consistency of data. A well-defined data governance framework helps organizations establish standards for data collection, storage, and usage, thus ensuring that the data is accurate, reliable, and of high quality. This is crucial as organizations rely on data for making informed decisions and driving business growth. By ensuring data quality and consistency, data governance helps organizations to minimize errors, reduce the risk of data corruption, and improve the overall reliability of the information they use.

Moreover, data governance plays a crucial role in ensuring compliance with regulations and industry standards. In an increasingly regulated environment, organizations must adhere to various data privacy, security, and compliance laws to avoid potential fines and legal consequences. By implementing data governance, organizations can establish policies and controls that help them comply with regulations such as the General Data Protection Regulation (GDPR), HIPAA, or the Sarbanes-Oxley Act. This not only helps organizations avoid legal pitfalls but also builds trust among customers, partners, and stakeholders who entrust their data with the organization.

Data governance also enhances data security by safeguarding sensitive information from unauthorized access and data breaches. As organizations collect and store vast amounts of data, protecting this information from cyber threats and internal vulnerabilities is paramount. A robust data governance framework includes measures such as data encryption, access controls, and regular security audits to ensure that data is protected from potential threats. By actively managing data security through data governance, organizations can minimize the risk of data breaches and uphold the confidentiality, integrity, and availability of their data assets.

Furthermore, data governance facilitates better decision-making and strategic planning within organizations. With a structured approach to managing data, organizations can leverage data insights to gain a deeper understanding of their operations, customers, and market trends. By establishing data governance practices that promote data transparency, accessibility, and relevance, organizations can make data-informed decisions that drive innovation, efficiency, and competitive advantage. This ultimately helps organizations to stay agile, proactive, and responsive to evolving market dynamics and customer demands.

Overall, data governance is an invaluable framework that enables organizations to effectively manage their data assets and leverage them as a strategic resource for driving business success. By establishing standards, policies, and controls to govern data quality, compliance, security, and usability, organizations can maximize the value of their data assets and gain a competitive edge in today’s data-driven landscape. As organizations continue to navigate the complexities of data management, data governance remains a vital tool for ensuring data integrity, trust, and value across all aspects of the organization.


  1. tdan –
  2. webinarcare –
  3. dataservicesinc –
  4. mckinsey –

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