Process Mining: The Missing Link between Data Science and Process Science
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Process Mining: The Missing Link between Data Science and Process Science

We live in a hyper-connected world; a society where access to information and data is easier than ever before in history. Terms like “Big Data “ and “Data Science” have entered the common language so quickly that few people understand the profound changes they imply.

We live in a hyper-connected world; a society where access to information and data is easier than ever before in history.

Terms like “Big Data “ and “Data Science” have entered the common language so quickly that few people understand the profound changes they imply. Changes that affect the daily lives of all of us, and obviously drive companies to evolve.

Those that do not evolve fast enough are inevitably doomed to disappear.

Consulting companies like neosight have the mission to understand and grasp these evolutions, to help our customers appropriate them and transform: transform their information systems, transform their processes, transform their organization. So, in this blog post I’d like to share some thoughts on a couple of those key topics.

Big Data, a reality that goes beyond fiction

Big Data refers to data sets that have become so large that they exceed intuition and human analytical capabilities, even those of traditional database or information management computer tools.

Big Data is the direct consequence of an explosion of information generated through the Internet of People (social networks) and the Internet of Things, which leads to a drastic change of scale. To give you an idea: the volume of digital data created worldwide was estimated to 1.2 zetabytes per year in 2010. According to the IDC (Digital Universe Study of 2014), it will be 44 zetabytes (a zetabyte is 1021 or 1,000,000,000,000,000,000,000,000,000,000,000 bytes) in 2020.

In other words, more data has been created in the last 2 years alone than since the beginning of humanity! In 2020, 1.7 Mb of data will be created every second and for every human being.

Big Data in Enterprise

Of course, with the exception of a few giants who are shaping today’s Web and make their business with the proliferation of data (Facebook: more than 500 terabytes of new data every day; YouTube: 400 hours of videos posted online every minute etc.), Big Data in most companies has a more modest dimension.

Read more about the release written by our Director Process Mining, Sébastien Duprez

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