Mudanças entre as edições de "The State of Big Data Infrastructure: Benchmarking global Big Data users to drive future performance"

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(Criou página com ' Contents Key findings 3 Big Data projects have arrived 4 Level of adoption 4 Complexity of current adoption 4 Drivers and benefits 5 Swimming in data 7 Volume of data is inc...')
 
 
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Contents
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Big data projects are being widely adopted
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Key findings 3
 
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Big Data projects have arrived 4
 
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Level of adoption 4
 
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Complexity of current adoption 4
 
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Drivers and benefits 5
 
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Swimming in data 7
 
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Volume of data is increasing 7
 
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Data sources 8
 
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Infrastructure and Big Data environment 9
 
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Infrastructure 9
 
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Environment 10
 
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Overcoming infrastructure and environment problems 12
 
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Conclusion 13
 
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Appendix 14
 
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Aims of the research 14
 
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Research Scope
 
  
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Paper  [[Arquivo:The State of Big Data Infrastructure]]
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 Over half (55%) of respondents’ organizations have already implemented Big Data projects
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 A further 29% are planning to implement within the next year
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 Organizations that have fully implemented Big Data projects have implemented an average of four different ones
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The main drivers for Big Data projects are customer related
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 Three in five (60%) respondents say that improving customer experience is driving their organizations’ need for Big Data projects
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 Over half (54%) say that it is the desire to get new customers
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Benefits of Big Data projects are already being experienced or are anticipated
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 Nine in ten (90%) respondents’ organizations are either already experiencing or anticipate seeing more effective targeted marketing and selling campaigns due to Big Data projects
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 88% are seeing or anticipate seeing an increase in revenue Obstacles to achieving success for Big Data projects
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 92% admit that there are major obstacles to implementing Big Data projects in their organization, for example:
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 their organization’s existing infrastructure is not sufficient
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 or there is organizational complexity
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 Nine in ten (91%) respondents’ organizations are prevented from including data from both mainframe and non-mainframe sources in
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their Big Data solutions

Edição atual tal como às 01h44min de 5 de janeiro de 2019

Big data projects are being widely adopted

 Over half (55%) of respondents’ organizations have already implemented Big Data projects  A further 29% are planning to implement within the next year  Organizations that have fully implemented Big Data projects have implemented an average of four different ones


The main drivers for Big Data projects are customer related

 Three in five (60%) respondents say that improving customer experience is driving their organizations’ need for Big Data projects  Over half (54%) say that it is the desire to get new customers


Benefits of Big Data projects are already being experienced or are anticipated

 Nine in ten (90%) respondents’ organizations are either already experiencing or anticipate seeing more effective targeted marketing and selling campaigns due to Big Data projects  88% are seeing or anticipate seeing an increase in revenue Obstacles to achieving success for Big Data projects  92% admit that there are major obstacles to implementing Big Data projects in their organization, for example:  their organization’s existing infrastructure is not sufficient  or there is organizational complexity  Nine in ten (91%) respondents’ organizations are prevented from including data from both mainframe and non-mainframe sources in their Big Data solutions

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