16 Patterns Seen in Companies Struggling to Evolve into Data-Driven Cultures
Data is one of a company’s most valuable assets, but tapping into the full potential requires a shift to a data-driven culture. A shift from ‘Selective Data Empowerment’ to ‘Collective Data Empowerment’.
Step back and think about a challenge your company faces. Who among your colleagues knows the most about it? Who has the most experience with it? Who feels its weight every day? The fact is, they probably aren’t all analysts and data scientists.
So, what makes data-driven cultures different?
- Less-technical employees work with and benefit from data.
- Anyone can contribute domain knowledge to an analysis.
- The output of one data project benefits many other projects.
- More human talent and brainpower is available for any data objective.
- People discover, reuse, and adapt prior data work.
- Exposure to data improves data literacy.
- Network effects compound data’s impact.
Ian Greenleigh, Director of Marketing at data.world explores in a three-part series, collective data empowerment – how companies can activate a hidden data workforce and navigate the shift to a data driven culture.
- Find the intersection between the narrative and the actual numbers. Companies need to embrace data-driven storytelling, but they need to separate lanes for data, analysis, and context. Getting the full accurate picture and understanding of the data, often requires context held by only those closest to the data.
- 56 percent of CEOs worry about the integrity of the data they use for decision-making. Trust of data is the single most integral component to data driven decision making. If you’re willing to accept bad data you have to accept that your data will fail you.