Three Key Misconceptions of Data Quality
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Speaker : DR. PRASHANTH H SOUTHEKAL
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When : Thursday, August 01, 2024
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Time : 12 : 00 PM EST
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Dr. Prashanth H Southekal is the Founder of DBP Institute a Data and Analytics Consulting, Research, and Education firm based in Calgary, Canada. He is a consultant. author, keynote speaker, and professor of Data and Analytics. Dr. Southekal has advised over 80 organizations including P&G, GE, Shell, and Apple. He is the author of three books — “Data for Business Performance”, "Analytics Best Practices”, and “Data Quality” and writes regularly on data, analytics, and machine learning in Forbes, SAP Insider, DataVersity and CFO University. Apart from his consulting and advisory pursuits, he has trained over 4,000 professionals worldwide in Data and Analytics. He has also developed an on-demand data analytics course for DataVersity “BUSINESS ANALYTICS IN ACTION LEARNING PLAN” and “DATA ENGINEERING FOR MACHINE LEARNING AND DATA SCIENCE” which is taken by hundreds of data and business professionals. Dr. Southekal is also an Adjunct Professor of Data and Analytics at IE Business School (Madrid, Spain) and CDO Magazine included him in the top 75 global academic data leaders of 2022. In addition, CIOLook listed Dr. Southekal as the “Ten Most influential leaders in Tech to Follow in 2023”. Dr. Southekal holds a Ph.D. from ESC Lille (FR), an MBA from Kellogg School of Management (US), and has an ICD.D designation from the Rotman School of Management (CA). He lives between Calgary (CA) and Madrid (ES) with his wife, two children, and a high-energy Goldendoodle dog. Outside work, he loves juggling and cricket.
Today many corporate boards and executives understand the importance of data for improved business performance. However, most of the data in enterprises is of poor quality. According to a report in Harvard Business Review, just 3% of the data in a business enterprise meets quality standards. However, there are many myths associated with realizing data quality and this is creating misconceptions on data quality. Against the backdrop, this webinar looks at three important data quality myths and their corresponding realities. It also offers prescriptive recommendations for business enterprises to improve the data quality.
Areas Covered
- Introduction to Data Quality
- Data Quality Dimensions
- Myth 1 and its corresponding reality
- Myth 2 and its corresponding reality
- Myth 3 and its corresponding reality
- Strategies and Best Practices for Overcoming Misconceptions
- Interactive Q&A Session
- Conclusion and Next Steps
Who Should Attend
This webinar is for
- Data Analysts
- Data Governance Analysts
- Data Governance Managers and Directors
- Data Scientists
- Data Engineers
Why Should You Attend
There are many myths associated with realizing data quality and this is creating misconceptions on data quality. Improving data quality is not just a technical necessity but a strategic imperative that influences every aspect of an organization. It underpins effective decision-making, operational efficiency, customer satisfaction, compliance, and financial performance. Investing in data quality leads to better business outcomes, competitive advantage, and sustained growth. Against the backdrop, this article looks at three important data quality myths and their corresponding realities.
Topic Background
Increasingly more corporate boards and executives understand the importance of data for improved business performance. However, most of the data in enterprises is of poor quality. According to a report in Harvard Business Review, just 3% of the data in a business enterprise meets quality standards. Joint research by IBM and Carnegie Mellon University found that 90% of data in an organization is never successfully used for any strategic purpose. But what is the impact of improved data quality for business? At the core, quality data results in improved business performance. Research found that digitally mature firms are 26% more profitable than their peers. Mckinsey Consulting found that companies that are insight-driven report above-market growth and EBITDA (earnings before interest, taxes, depreciation and amortization) increases of up to 25%.
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$160.00
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