Analytics/Big Data

Five Steps to a Data Driven Organization

Big Data is all the rage, but how should we use it, and how does it relate to process improvement and BPM?

Big Data is really just a new category of data, but one that has gotten a lot of buzz because it

  • is a catchy term
  • casts a wider net – out to external customers, potential buyers, suppliers, other networks in the general market place
  • requires more sophisticated methods of gathering, modeling, and analyzing the data

So add Big Data to your organizational tools, but make it an integral part of a data-driven organization.

Foundational Principles
The two critical underlying questions before any organization starts gathering Big Data or data of any kind is: 

BPM and Big Data - Why it Makes Sense

A lot has been written about Big Data in the last few months.  Most companies are trying to make sense of the large amount of data they have to serve as an input to both strategic and operational decisions. In this article, I’ll discuss a couple of reasons for the obvious link between BPM and Big Data and how they can co-exist with BPM implementations helping drive adoption of Big Data.

Most BPM platforms have built-in capabilities to collect process parameters and key process related data during process execution. Most also provide some form of rudimentary to sophisticated analysis of the data, perhaps not run time, (yet), but on a post facto basis.

Process owners use this data to gain insight into the process, for example:

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