Companies need to know what to do data-wise before hiring a title. Figure out the responsibilities you need covered is key to making the right hire.

Data standardization is a fundamental aspect of effective data management and governance, enabling organizations to harness the full potential of their data assets.

Data stewardship is essential for organizations to derive value from their data assets while minimizing risks associated with data misuse, security breaches, or non-compliance. It requires collaboration across various stakeholders within the organization, including data owners, data users, IT professionals, and compliance officers.

Gartner has a model for the stages of growth of a company’s data capabilities. There are many articles on the web about it, but I wanted to share my experience and thoughts on each stage. I have worked with several companies starting their data journey, and I hope my insights are helpful!

Getting your data teams to engage with each other is essential to building your data culture. Here are my suggestions on useful meeting schedules and interaction methods to keep everyone informed and engaged.

Data wrangling is a complex task that can either jump-start your company on its data journey, or leave you trailing after a significant investment

Isolating your data analysts in a department can slow analysis and create mixed messaging to the CEO

Investing in your data capabilities is not a cost center, but more a genuine profit center for a company