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Exploring Strategies To Transition To Big Data Technologies From Dw Technologies, Mbah Johnas Fortem
Exploring Strategies To Transition To Big Data Technologies From Dw Technologies, Mbah Johnas Fortem
Walden Dissertations and Doctoral Studies
As a result of innovation and technological improvements, organizations are now capable of capturing and storing massive amounts of data from various sources and domains. This increase in the volume of data resulted in traditional tools used for processing, storing, and analyzing large amounts of data becoming increasingly inefficient. Grounded in the extended technology acceptance model, the purpose of this qualitative multiple case study was to explore the strategies data managers use to transition from traditional data warehousing technologies to big data technologies. The participants included data managers from 6 organizations (medium and large size) based in Munich, Germany, who …
Analytic Extensions To The Data Model For Management Analytics And Decision Support In The Big Data Environment, Nsikak Etim Akpakpan
Analytic Extensions To The Data Model For Management Analytics And Decision Support In The Big Data Environment, Nsikak Etim Akpakpan
Walden Dissertations and Doctoral Studies
From 2006 to 2016, an estimated average of 50% of big data analytics and decision support projects failed to deliver acceptable and actionable outputs to business users. The resulting management inefficiency came with high cost, and wasted investments estimated at $2.7 trillion in 2016 for companies in the United States. The purpose of this quantitative descriptive study was to examine the data model of a typical data analytics project in a big data environment for opportunities to improve the information created for management problem-solving. The research questions focused on finding artifacts within enterprise data to model key business scenarios for …
Proactive It Incident Prevention: Using Data Analytics To Reduce Service Interruptions, Mark G. Malley
Proactive It Incident Prevention: Using Data Analytics To Reduce Service Interruptions, Mark G. Malley
Walden Dissertations and Doctoral Studies
The cost of resolving user requests for IT assistance rises annually. Researchers have demonstrated that data warehouse analytic techniques can improve service, but they have not established the benefit of using global organizational data to reduce reported IT incidents. The purpose of this quantitative, quasi-experimental study was to examine the extent to which IT staff use of organizational knowledge generated from data warehouse analytical measures reduces the number of IT incidents over a 30-day period, as reported by global users of IT within an international pharmaceutical company headquartered in Germany. Organizational learning theory was used to approach the theorized relationship …