Skip to main content

Democratizing Data in Large Enterprises

June 20, 2022

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

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.

← Back to podcasts