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Top 10 challenges of big data analytics / |
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ISBN/ISSN:
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9781536191332 价格： CNY1117.12 |
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科图分类法:
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TP274 |
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题名:
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Top 10 challenges of big data analytics / |
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其它题名:
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Top ten challenges of big data analytics |
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出版发行:
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New York : Nova Science Publishers, [2021] |
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载体形态:
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viii, 206 pages : illustrations ; 23 cm. |
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内容提要:
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"The application of big data analytics in all fields of research is a critical driver for the competitiveness of all countries in the modern world. Currently, governments and industry generate large amounts of data driven by record keeping, compliance, regulations, data privacy, and dynamic requirements, and thus there is a need to create better mechanisms to analyse data, and hence support organizational development, as well as providing aid to policymakers' decision-making processes. In this context, there are emerging disruptive opportunities because of Big Data: new business models, and vertical industry segments will emerge through shared relationships with all the stakeholders, and big data analytics is a major asset to support these dynamic relationships. This book was developed with the objective of analysing some of those challenges while at the same time providing a perspective of the potential of big data analytics, and the importance that analytics have for managers and for policymakers, to help define new strategies and new public policies, respectively. The book is focused on different sectors of activity (i.e. the Health sector, Public Administration, the Education sector, among others), and on different economic dimensions (i.e. Entrepreneurship, and Innovation) and links big data analytics to different fields of research, such as artificial intelligence and other emergent technologies; which are challenging organisations, governments, and societies, with the need to face the new imperative of being prepared for the very uncertain and tremendously complex future - in which big data analytics will play a very decisive and active role"-- |
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主题词:
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Big data. |
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主题词:
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Electronic records. |
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主题词:
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Business records. |
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主要责任者:
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Sousa, Maria José, |
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主要责任者:
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Oliveira, Manuel Au-Yong, |
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HEA| |02971cam a2200337 450 001| |022021007827 008| |210121s2021 nyua b 001 0 eng 010| |▼a 2021002050 020| |▼a9781536191332▼qhardcover :▼cCNY1117.12 020| |▼z9781536191899▼q(adobe pdf) 040| |▼aDLC▼beng▼cDLC▼erda▼dBJZK 042| |▼apcc 050|00|▼aQA76.9.B45▼bT67 2021 082|00|▼a005.7▼223 090| |▼aTP274▼b223133 245|00|▼aTop 10 challenges of big dat- | |a analytics /▼cMaria José Sous- | |a and Manuel Au-Yong Oliveira, editor. 246|3 |▼aTop ten challenges of big da- | |ta analytics 260| |▼aNew York :▼bNova Science Pub- | |lishers,▼c[2021] 300| |▼aviii, 206 pages :▼billustrat- | |ions ;▼c23 cm. 336| |▼atext▼btxt▼2rdacontent 337| |▼aunmediated▼bn▼2rdamedia 338| |▼avolume▼bnc▼2rdacarrier 490|0 |▼aResearch methodology and data analysis 504| |▼aIncludes bibliographical ref- | |erences and index. 520| |▼a"The application of big data- | | analytics in all fields of re- | |search is a critical driver fo- | |r the competitiveness of all c- | |ountries in the modern world. - | |Currently, governments and ind- | |ustry generate large amounts o- | |f data driven by record keepin- | |g, compliance, regulations, da- | |ta privacy, and dynamic requir- | |ements, and thus there is a ne- | |ed to create better mechanisms- | | to analyse data, and hence su- | |pport organizational developme- | |nt, as well as providing aid t- | |o policymakers\' decision-makin- | |g processes. In this context, - | |there are emerging disruptive - | |opportunities because of Big D- | |ata: new business models, and - | |vertical industry segments wil- | |l emerge through shared relati- | |onships with all the stakehold- | |ers, and big data analytics is- | | a major asset to support thes- | |e dynamic relationships. This - | |book was developed with the ob- | |jective of analysing some of t- | |hose challenges while at the s- | |ame time providing a perspecti- | |ve of the potential of big dat- | |a analytics, and the importanc- | |e that analytics have for mana- | |gers and for policymakers, to - | |help define new strategies and- | | new public policies, respecti- | |vely. The book is focused on d- | |ifferent sectors of activity (- | |i.e. the Health sector, Public- | | Administration, the Education- | | sector, among others), and on- | | different economic dimensions- | | (i.e. Entrepreneurship, and I- | |nnovation) and links big data - | |analytics to different fields - | |of research, such as artificia- | |l intelligence and other emerg- | |ent technologies; which are ch- | |allenging organisations, gover- | |nments, and societies, with th- | |e need to face the new imperat- | |ive of being prepared for the - | |very uncertain and tremendousl- | |y complex future - in which bi- | |g data analytics will play a v- | |ery decisive and active role"－－ | |-▼cProvided by publisher. 650| 0|▼aBig data. 650| 0|▼aElectronic records. 650| 0|▼aBusiness records. 700|1 |▼aSousa, Maria José,▼eeditor. 700|1 |▼aOliveira, Manuel Au-Yong,▼eeditor. 776|08|▼iOnline version:▼tTop 10 chal- | |lenges of big data analytics▼d- | |New York : Nova Science Publis- | |hers, [2021]▼z9781536191899▼w(- | |DLC) 2021002051