AI & Analytics

In industries with long timelines for benchmarks and measurement outcomes, turnover is the killer of analytics and decision making culture.

Reddit r/datascience

Summary

Long industrial processes undermine decision-making in analytics, leading to valuable insights being lost.

Process Losses Due to Turnover

In industries where benchmarks and measurement outcomes take a long time to materialize, turnover often undermines the analytics culture. When leaders responsible for outcomes move on before results are in, those insights lose intrinsic value. This issue cannot be solved simply by investing in advanced technologies or AI; it requires a broader strategy.

A Challenge for BI Professionals

For BI professionals, this signals the need to expand focus from merely building analytics skills and structures towards ensuring team and leadership stability. Competitors that succeed in this area, such as companies with strong culture and retention programs, can more swiftly capitalize on their analytics investments. The trend towards data-driven decision-making is disrupted when analytical results become undervalued.

Takeaway for the Future

BI professionals should proactively address this by paying attention to both personnel and processes within their organizations. This means developing strategies to retain key decision-makers and minimize the impact of turnover on analytical processes.

Read the full article