Big Data

Big Data will give you a clear understanding, blueprint, and step-by-step approach to building your own big data strategy. This is a well-needed practical introduction to actually putting the topic into practice.

Big Data

Big Data

Convert the promise of big data into real world results There is so much buzz around big data. We all need to know what it is and how it works - that much is obvious. But is a basic understanding of the theory enough to hold your own in strategy meetings? Probably. But what will set you apart from the rest is actually knowing how to USE big data to get solid, real-world business results - and putting that in place to improve performance. Big Data will give you a clear understanding, blueprint, and step-by-step approach to building your own big data strategy. This is a well-needed practical introduction to actually putting the topic into practice. Illustrated with numerous real-world examples from a cross section of companies and organisations, Big Data will take you through the five steps of the SMART model: Start with Strategy, Measure Metrics and Data, Apply Analytics, Report Results, Transform. Discusses how companies need to clearly define what it is they need to know Outlines how companies can collect relevant data and measure the metrics that will help them answer their most important business questions Addresses how the results of big data analytics can be visualised and communicated to ensure key decisions-makers understand them Includes many high-profile case studies from the author's work with some of the world's best known brands

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Big Data
Language: un
Pages: 256
Authors: Bernard Marr
Categories: Business & Economics
Type: BOOK - Published: 2015-03-09 - Publisher: John Wiley & Sons

Convert the promise of big data into real world results There is so much buzz around big data. We all need to know what it is and how it works - that much is obvious. But is a basic understanding of the theory enough to hold your own in strategy
Applied Machine Learning for Smart Data Analysis
Language: en
Pages: 225
Authors: Nilanjan Dey, Sanjeev Wagh, Parikshit N. Mahalle, Mohd. Shafi Pathan
Categories: Computers
Type: BOOK - Published: 2019-05-20 - Publisher: CRC Press

The book focuses on how machine learning and the Internet of Things (IoT) has empowered the advancement of information driven arrangements including key concepts and advancements. Ontologies that are used in heterogeneous IoT environments have been discussed including interpretation, context awareness, analyzing various data sources, machine learning algorithms and intelligent
From Big to Smart Data. How can Data Analytics support Strategic Decisions to gain Competitive Advantage?
Language: en
Pages: 23
Authors: Alexej Eichmann
Categories: Business & Economics
Type: BOOK - Published: 2015-10-26 - Publisher: GRIN Verlag

Research Paper (postgraduate) from the year 2015 in the subject Business economics - Operations Research, grade: 1, University of Applied Sciences Essen, language: English, abstract: One of the biggest challenges currently and in the upcoming years is the amount of data generated worldwide, which will increase exponentially by factor 10.
Data Smart
Language: un
Pages: 432
Authors: John W. Foreman
Categories: Business & Economics
Type: BOOK - Published: 2013-10-31 - Publisher: John Wiley & Sons

Data Science gets thrown around in the press like it'smagic. Major retailers are predicting everything from when theircustomers are pregnant to when they want a new pair of ChuckTaylors. It's a brave new world where seemingly meaningless datacan be transformed into valuable insight to drive smart businessdecisions. But how does
Smart Data
Language: en
Pages: 410
Authors: Kuan-Ching Li, Beniamino Di Martino, Laurence T. Yang, Qingchen Zhang
Categories: Business & Economics
Type: BOOK - Published: 2019-03-19 - Publisher: CRC Press

Smart Data: State-of-the-Art Perspectives in Computing and Applications explores smart data computing techniques to provide intelligent decision making and prediction services support for business, science, and engineering. It also examines the latest research trends in fields related to smart data computing and applications, including new computing theories, data mining and

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