Achieving Equilibrium Between Business and IT

October 16, 2014

Last week, Pentaho unveiled a Big Data Orchestration Platform instrumental to a data-driven future– one where analytics and data are embedded into the fabric of the organization to drive real time business decisions. Fundamental to Pentaho’s strategy is the concept of governed data delivery – the ability to blend trusted and timely data to power analytics at scale for all users and in all environments.

Today, at Strata + Hadoop World, Pentaho announced new automated data modeling and publishing capabilities to help organizations establish a Streamlined Data Refinery solution architecture – empowering business users while still meeting IT requirements.

Pentaho is putting governed, blended data from across the enterprise at business users’ fingertips. You can watch the video demo here:

Achieving the end result of empowering business users with the ability to blend and refine data for business and regulatory purposes, while supporting IT with governed orchestration processes and data delivery methods.is the basis of a Streamlined Data Refinery Here are two of our customers achieving the business and IT balance.

Tim Garnto, SVP of Product Engineering at edo Interactive explains, “Having lightning fast data analytics is a matter of survival for our team. In early 2013, we hit a wall due in part to the sheer amount of data we could access. We just couldn’t process the data fast enough with our existing SQL database, as a result, we couldn’t get the right offers to the right people quickly enough. Leveraging the Streamlined Data Refinery architecture with Pentaho we were able to extract, integrate and analyze 25 million transactions a day consisting of over 50TB of data. As a result, we cut the processing window from 29 hours to under four all while growing the amount of data processed by 974 percent.”

Robert Clark, VP of Development, 4SightBI shares, “In order for our customer base of agents, brokers, actuaries and managers to deliver quality reports that result in faster sales closings, they require quick turnaround and mobile visibility into the data, without having to wait on IT. With the automation of a Streamlined Data Refinery, our customers planning to use Hadoop will soon be able to see a further reduction in the time it takes for us to produce actionable insights by minimizing time spent on preparing data, all while still delivering relevant data sets with governance.”

Donna Prlich
VP, Product Marketing
Pentaho


Robert Frost on Big Data

March 27, 2014

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

 


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