When does the myth that “more data leads to better decisions” fail?

Businesses often believe that collecting more data automatically improves decisions, but without context, analysis, and clarity, more data = more confusion.

Problems with Data Overload:

• Analysis Paralysis: Too much data delays decision-making.

• Low Quality: Quantity doesn’t compensate for inaccurate or outdated data.

• No Action: Data without action is useless.

What’s Needed Instead:

• Relevant, Real-Time, Reliable Data

• Focused KPIs and visual dashboards

• Data-driven culture that emphasizes interpretation over accumulation

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