On Firehoses, Windows, and Business Rules: Towards a Successful Fast Data Organisation

C.L.V. Bartels; M.G.A. Plomp

On Firehoses, Windows, and Business Rules: Towards a Successful Fast Data Organisation

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Professional

Abstract

Due to the enormous growth of data and the increasing speed at which organisations are required to respond to it, Fast data is the latest trend in data science. In this study, we set out to answer the question what Fast data is and how organisations can deal with it in a successful way. We define Fast data as: the ability to gain insights from (near) real-time data streams and derive value from these insights. We argue that successful Fast data organisations are built on four pillars: (i) technology, (ii) strategy, (iii) culture, and (iv) skills & experience. We conclude with a critical discussion of our results, for instance touching upon whether Fast data is really ‘new’.

Original language	English
Title of host publication	Proceedings of the 29th Bled eConference “Digital Economy”
Place of Publication	Bled, Slovenia
Pages	242-253
Publication status	Published - 2016

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http://aisel.aisnet.org/bled2016/31

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title = "On Firehoses, Windows, and Business Rules: Towards a Successful Fast Data Organisation",

abstract = "Due to the enormous growth of data and the increasing speed at which organisations are required to respond to it, Fast data is the latest trend in data science. In this study, we set out to answer the question what Fast data is and how organisations can deal with it in a successful way. We define Fast data as: the ability to gain insights from (near) real-time data streams and derive value from these insights. We argue that successful Fast data organisations are built on four pillars: (i) technology, (ii) strategy, (iii) culture, and (iv) skills & experience. We conclude with a critical discussion of our results, for instance touching upon whether Fast data is really {\textquoteleft}new{\textquoteright}.",

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AU - Plomp, M.G.A.

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N2 - Due to the enormous growth of data and the increasing speed at which organisations are required to respond to it, Fast data is the latest trend in data science. In this study, we set out to answer the question what Fast data is and how organisations can deal with it in a successful way. We define Fast data as: the ability to gain insights from (near) real-time data streams and derive value from these insights. We argue that successful Fast data organisations are built on four pillars: (i) technology, (ii) strategy, (iii) culture, and (iv) skills & experience. We conclude with a critical discussion of our results, for instance touching upon whether Fast data is really ‘new’.

AB - Due to the enormous growth of data and the increasing speed at which organisations are required to respond to it, Fast data is the latest trend in data science. In this study, we set out to answer the question what Fast data is and how organisations can deal with it in a successful way. We define Fast data as: the ability to gain insights from (near) real-time data streams and derive value from these insights. We argue that successful Fast data organisations are built on four pillars: (i) technology, (ii) strategy, (iii) culture, and (iv) skills & experience. We conclude with a critical discussion of our results, for instance touching upon whether Fast data is really ‘new’.

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BT - Proceedings of the 29th Bled eConference “Digital Economy”

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