Paper Info
Title
Operationalizing Analytics - A Composite Application Model
Abstract
Research on actionable data analytics has garnered considerable attention in recent times. Organizations are emphasizing on analytics as a competitive advantage enabler. Significant business and information systems research has been done to assess the value associated with analytics and to further its scope. Outcome of such research shows a need for organizations to effectively use analytics to generate, develop and use new insights in their operations. An active research area is reducing knowledge gap and bridging the action distance to realize an immediate value. To address this research gap, my focus is on operationalizing analytics to minimize action distance and bridge knowledge gap in the context of strategy and operations. Using design science research approach, this research aims to model how analytics can be used pervasively within an organization. This model is referred to as Composite Application Model for operationalizing analytics. The Composite Application Model for analytics will be helpful in minimizing the knowledge gap and action distance between the strategy and operations in organizations. This research contributes to expand the current practice of enterprise performance management and establishes a novel and intelligence based control within organizations.
Year
DOI
Venue
2018
10.1007/978-3-319-91716-0_59
HCI IN BUSINESS, GOVERNMENT, AND ORGANIZATIONS
Keywords
Field
DocType
Actionable, Analytics, Action distance, Composite application, Data governance, Decision management, Knowledge gap, Organizational learning theory
Data science,Composite application,Computer science,Data governance,Competitive advantage,Decision management,Human–computer interaction,Design science research,Organizational learning,Performance management,Analytics
Conference
Volume
ISSN
Citations 
10923
0302-9743
0
PageRank 
References 
Authors
0.34
8
1
Name
Order
Citations
PageRank
Neetu Singh1109.56