Ventana Research reports that companies using predictive analytics spend 40 percent of their time on data preparation and 22 percent accessing the data — the least gratifying parts of the analytic process. Similarly, Blue Hill Research reports that most analysts spend 40 to 60 percent of their time on data prep, and whatever time is left over on analysis.
Data preparation tasks are not as essential to decision making as building and deploying models; therefore, it’s no wonder that companies see them as bottlenecks. This webcast will cover the four most common roadblocks posed by data preparation and ways to overcome them, so that business analysts can spend more time on data analysis.
Roadblocks include:
- A wide variety of data sources
- Too many tools
- Data governance and compliance
- Too many manual processes