10 Data Strategy Mistakes
And how to avoid them – even on small analytics projects
When they’re done right, analytics projects – even the smallest ones – can lead to huge strategic improvements for your business. But with low-scale projects, it can be tempting to rush the strategy and jump straight into the execution.
That’s a path to analytics disasters – not to mention a significant waste of time, effort and money. So we’ve compiled some of the most common mistakes we see companies making.
Download our POV to discover:
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10 data strategy mistakes
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The negative consequences they can lead to
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How to avoid them, and maximize your chances of analytics success