Robert Frost on Big Data

frostThere is a time to be adventurous and take the path less travelled as Frost points out in the often quoted, “Road Not Taken” –but not with big data. I wonder what Frost would have to say about big data, a concept difficult to comprehend in the early 1900’s.  In reviewing the poem (poetry being an arm chair interest of mine), it becomes clear that there is some ambiguity about whether Frost intended to promote taking the “Road Less Travelled.”  In fact, it is thought that the poem was written in jest to his friend Lawrence Thomas to convey that the true regret is in not making a decision at all.

This ambiguity and indecisiveness is very present in the big data ecosystem.  Most organizations are cognizant of the disruptive force of big data — it’s impact on the competitive business landscape and the way consumers live their daily lives.  Fortunately, they also know there is little, if no room for regret at taking the Big Data Road Less Travelled or not choosing a path at all.

To that end Pentaho has collected and shared four paths that many of our customers have successfully travelled to achieve business value from big data.  They are four common big data use cases that reduce costs, optimize and begin to transform businesses.  We have laid out four roads that have been well traveled and ended in big data success. I highly encourage you to explore our top four big data use cases and the roads most often travelled. No regrets.

Donna Prlich
Sr. Director, Product Marketing

 

Leave a Reply

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

WordPress.com Logo

You are commenting using your WordPress.com 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 )

Google+ photo

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

Connecting to %s

Follow

Get every new post delivered to your Inbox.

Join 102 other followers

%d bloggers like this: