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What is Variability

Disruptive Technology and Digital Transformation for Business and Government
Variation in the meaning when processing natural language data.
Published in Chapter:
Big Data for Digital Transformation of Public Services
Deepak Saxena (Birla Institute of Technology and Science, Pilani, India)
DOI: 10.4018/978-1-7998-8583-2.ch013
Abstract
Big data is presently considered integral to the management and strategies for digital enterprise transformation. Beyond being ‘a lot of data', big data can be characterized in terms of seven Vs: volume, velocity, variety, variability, veracity, visualization, and value. Already being applied in private businesses, big data has immense potential for the digital transformation of public services in advancing the e-governance agenda. This chapter explores the nature of big data in public service and discusses its application in areas such as tax administration, transportation, energy, public health, and disaster management. Challenges and concerns are noted in terms of data quality, infrastructure cost, availability of suitable human resources, privacy, and security. Possible solutions such as shared services, cloud computing, open source software, open data framework, and regulatory compliance are noted. The chapter ends by noting future research directions to realize the full potential of Big data application in digital transformation of public services.
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Trimming Safety Stock: Empirically, Realizing Working Capital Gains
Variability is basically the difference between what we expect from something and what actually happens. It is the statistical distribution of outcomes one can expect from a process.
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BIG Data: An Enabler in Developing Business Models in Cloud Computing Environments
Along with the velocity the data flows can be highly inconsistent with periodic peaks.
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Detecting Inconsistency in the Domain-Engineering
Different software products can be configured based on customization of the software assets. In order to implement the configuration of software products, all the software assets related to a specific business area are collected in domain engineering. These software assets are categorized into two groups: common assets and variant assets. The common assets are included in all software products, i.e., they must be selected in each configuration. For instance, a save option is a common software asset in all word processing software. The variant assets are options which change from product to product. For instance, send as email is a variant asset because it is not included in all word processing software.
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The Effects of Mistreating Management Variability on Work Attitudes and Behaviors
Refers to the extent to which these data points differ from each other. There are four commonly used measures of variability: range, mean, variance and standard deviation. The risk perception of an asset class is directly proportional to the variability of its returns.
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Process Mapping and RFID: Complementarities
Variability is inherent in health care and is a result of many complex interactions between patients and providers and among providers.
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Designing Resource-Constrained Embedded Heterogeneous Systems to Cope with Variability
The observation that features in fabricated silicon devices that were designed as identical will not be identical after manufacture. A wide range of effects contribute to variation in the features’ power consumption, maximum clock frequency, and lifespan.
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