Skip to main content

Democratizing Data in Large Enterprises

Meenal Iyer shares her thorough, effective, and clear strategy for democratizing data successfully and how that helps create a successful data culture in large enterprises

Jun 2022
View Transcript

Key Takeaways


Data democratization is not just about data access, but about providing the end user a comfortable layer for which they can interact with data easily.


Alignment on a single definition for metrics for your organization is one of the single biggest low hanging fruits organizations can tackle when it comes to galvanizining a data culture.


Data leaders can continually accelerate data culture by communicating regularly with stakeholders, sharing the impact of their work, and creating internal evangelists by equipping them with the data skills to make their lives easier.

Key Quotes

How do we make data essentially a priority in every conversation with every initiative that takes place? Start by determining the success metrics for the initiative and for that initiative and how they will be measured. You can’t manage what you can’t measure. It is important for data leaders to have a seat at the table so they can be a part of conversations with key stakeholders about upcoming initiatives. Once they identify what those initiatives will impact across the organization, they encourage stakeholders to cascade that information down the chain so that is reaches all parts of the enterprise.

Inconsistency in metrics is when metrics are defined differently across different business units and are used in different forms. It can be hard to identify when this is happening, but it's vital that organizations align on a single metrics definition so they know exactly where they are starting from and what they are driving toward. Unfortunately, this is something that is rampant across organizations. Finance, Marketing, Sales, and more end up with their own definitions of each metric. Bring all those stakeholders together to align on one definition so the separate business units can all speak as one, rather than speaking as several different business units with different languages.

About Meenal Iyer

Photo of Meenal Iyer
Meenal Iyer

Meenal Iyer is the Sr. Director for Data Science and Experimentation at Tailored Brands, Inc. She has over 20 years of experience as a Data and Analytics strategist and she has built several data and analytics platforms, driving the enterprises she works with to be insights-driven. She’s also led data teams at various retail organizations, and has a wide variety of specialties in Data Science, including data literacy programs, data monetization, machine learning, enterprise data governance, and more.

Photo of Adel Nehme
Adel Nehme

Adel is a Data Science educator, speaker, and Evangelist at DataCamp where he has released various courses and live training on data analysis, machine learning, and data engineering. He is passionate about spreading data skills and data literacy throughout organizations and the intersection of technology and society. He has an MSc in Data Science and Business Analytics. In his free time, you can find him hanging out with his cat Louis.


How to Become a Data Scientist in 8 Steps

Find out everything you need to know about becoming a data scientist, and find out whether it’s the right career for you!

Jose Jorge Rodriguez Salgado

12 min

How to Become a Data Analyst in 2023: 5 Steps to Start Your Career

Learn how to become a data analyst and discover everything you need to know about launching your career, including the skills you need and how to learn them.
Elena Kosourova 's photo

Elena Kosourova

18 min

How Data Science is Changing Soccer

With the Fifa 2022 World Cup upon us, learn about the most widely used data science use-cases in soccer.
Richie Cotton's photo

Richie Cotton

How Chelsea FC Uses Analytics to Drive Matchday Success

Get behind the scenes at Chelsea FC with Federico Bettuzzi to see how data analytics informs tactical decision making.
Richie Cotton's photo

Richie Cotton

47 min

Sports Analytics: How Different Sports Use Data Analytics

Discover how sports analytics works and how different sports use data to provide meaningful insights. Plus, discover what it takes to become a sports data analyst.
Kurtis Pykes 's photo

Kurtis Pykes

13 min

Inside the Generative AI Revolution

Martin Musiol talks about the state of generative AI today, privacy and intellectual property concerns, the strongest use cases for generative AI, and what the future holds.

Adel Nehme's photo

Adel Nehme

32 min

See MoreSee More