Top Internet of Things Daily & Weekly

5 Factors Impacting Your Big Data Project’s Performance

5 Factors Impacting Your Big Data Project's Performance | #BigData #ROI #rvl

Big data analytics projects frequently fail to return ROI due to these five factors. Learn how to make your big data cloud project succeed.

@Ronald_vanLoon: 5 Factors Impacting Your Big Data Project’s Performance | #BigData #ROI #rvl

Big data projects are complex with numerous moving parts that impact whether a big data project is successful or not. If your big data project currently isn’t up to par, consider these 5 factors.

Transferring data to a new database, new cloud platform, or new subscription within the cloud creates an extra step in an already complex process. 1 STOP MOVING YOUR DATA

Poorly constructed internal networks are quickly overwhelmed by rapid data growth. 2 OVERLOADED NETWORKS

Data sets grow quickly and unexpectedly, and the infrastructure behind it needs to be able to grow with it. 3 SCALABILITY (OR LACK OF IT)

Even with every other factor fully optimized, focusing on the wrong data leads to dead ends and a team that is swamped with irrelevant information. 4 WRONG DATA FOCUS

Big data insights need to be acted upon quickly. 5 SLUGGISH DATA CULTURE

5 Factors Impacting Your Big Data Project’s Performance