What’s the quality of your data? Do you really know? Can you prove it? These are easy questions to ask but expensive to answer. Quality is often assumed based on end-user feedback. If nobody’s complaining, the quality must be good, right? The need for high-quality trusted data continues to grow with increased scrutiny around AI and Analytical projects, consumer privacy regulations, regulator attestation requirements, and more. Purchasing a tool is often seen as the solution, yet they are regularly deployed with little adoption and with marginal, if any impact on the Data Community.

A successfully deployed and adopted Data Quality program starts with understanding and addressing the key barriers to adoption from technology, business, and organizational lenses.

How did we achieve this?

• Thinking of Data Quality as an integrated end-to-end self-service program covering (1) Data Quality Standards, guidance, and expectations, (2) DQ Tooling, (3) Data Catalogs, (4) Governance Platforms, (5) Defect Management, (6) Real-time Transparent Communication, (7) Technology AND Business Consumer Dynamics, and (8) Existing Daily Routines and Time Constraints
• Simplification, automation, and re-use of capabilities (removing any non-effective activities)
• Partnering with Executive Leadership, Data Producers, and Data Consumers on solutions and capabilities that save time and add value to their daily routines
• Establishing shared KPIs that allowed Data Producers and Consumers to share in the success of the program while providing accountability and ownership
• Establishing KPIs that measure the value of your program to Executive Leadership for continued support

Speaker: Kevin Hunter

An Information Technology Data and Analytics Leader with more than 28 years of experience enabling IT innovation, Data Governance, Business Intelligence, and Analytics solutions, I have in-depth experience across business and technology disciplines combined with a passion for User Experience driven design that results in positive business outcomes with clear actionable insights. With expertise in enabling a data-driven culture through thought leadership, automation, and business-focused solutions that reduce cost and make self-service data and analytics a reality, I believe that trusted, easy-to-find, and properly governed data is the cornerstone to enabling a data-driven culture of insights and innovation that bring competitive advantage to an Organization and its Customers. By connecting Associates to the information they need, when they need it, we can accelerate their ability to consume data for business-driven initiatives while protecting the interests of our customers and the firm.

Speaker: Amritraj Naik

I am a Technology Leader with 20 years of experience in the IT industry. I have worked in various MNCs in Finance, Telecom, Retail, and Web Analytics domains. I have extensive experience and expertise in building scalable applications and data platforms to support business functions and solve critical business problems. I believe data is key to the success of any organization. An organization that can effectively gather, store, analyze, and put data to use to generate actionable insights is bound to succeed against competition. Whether it is simple metrics on dashboards or responses from sophisticated LLMs, they are only as good as the quality of your data. My current area of focus is building Data Governance and Data Quality solutions. I am also passionate about people management and believe in helping associates achieve their fullest potential at work and have successful careers.