6 don’ts when leading big data projects

Most organizations have a set of big data best practices they have formulated from their successful project work. An equally important list is the pitfalls that organizations should stay away from when it comes to big data and analytics. Here are six don’ts to keep in mind during your big data projects.

Swing for the fences The most successful big data initiatives build a strong foundation for big data and analytics and use them. The best way to do this is by creating a constant path of new big data deliverables that incrementally and continuously improve the organization’s ability to tackle strategies and operational issues with richer and better data.

Author: Mary Shacklett


Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )


Connecting to %s