How to use dataflow to improve analytics and alleviate the 5 latencies
Many businesses have become familiar with the benefits of data analytics and either have or are considering a solution. But here’s the thing, many businesses forget to look beyond the statistical capabilities of the software and neglect to consider the necessity of speed—especially when the data volumes are large.
On top of that, there are actually 5 pain points that can substantially reduce the processing time of analytics—as such, where can you turn to figure out how to handle the speed challenge?
Consult the following white paper to uncover the top 5 latencies in the analytics process and what you can do to overcome them. Also included are technology recommendations, tips, and, strategies that can make your analytics solution as efficient as it needs to be.