Data analytics is a priority for organizations of all sizes.
Businesses successfully using big data for intelligence report an 8% average increase in revenue and a 10% reduction in operating cost yearly. But there are some reasons for the failure of data analytics projects.
Failures can come from many factors, including:
- Low-quality, inconsistent data.
- Siloed data.
- Lack of expertise.
- Unengaged or absent stakeholders.
- Not setting realistic goals.
Ensure your data project is part of the 13% that succeed, rather than the 87% that fail.
Download the E-book to learn how BryteFlow can help your business implement and manage successful data projects.