As the new year rolls around, many Data leaders are thinking about (or have already created) 2019 road maps for their team and function. Since Data often works cross functionally with other teams, it’s key that you consider other team’s priorities and objectives in developing your road map. Below is a blueprint you can use to get started.

Data warehouses are not just for business intelligence (BI) anymore. You can maximize the value of your data engineering, data science, and analytics work by investing in building out a multi-use data-platform that serves business users, Analysts, Statisticians, and intelligent applications. In my last post, data-dies-in-darkness, I described how you can improve your organization’s data quality by exposing more data to more people. You can stretch this idea even farther by expanding the stakeholders of your data warehouse to include intelligent applications.