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Ganes, talks about scaling data maturity, building an effective data science roadmap, navigating the skills and people components of data maturity and more. Key Takeaways 1-The way you communicate with data can be the biggest inhibitor to shifting mindsets. When talking about data, speak as plainly as possible and refrain from using too much technical jargon. 2-When choosing projects, select two to three projects in adjacent areas of high impact to deliver a strong ROI as a combination of all of them. The more split your efforts are, the less ROI you will be able to deliver. 3-When everyone within an organization understands how data and analytics will help, where the organization can go with data, and the business benefits are communicated clearly, then there will be much less resistance to utilizing data in decision-making |
