Department of Management

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Author: search.filters.author.Tikoria, JyotiSubject: search.filters.subject.Business Intelligence

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    Dimensions influencing business intelligence and analytics maturity: a critical analysis
    (Inder Science, 2021-05) Tikoria, Jyoti
    The importance of business intelligence and analytics (BI&A) as a capability in an organisation has grown over the years. In order to assess the state of BI&A, managers today need to identify the critical dimensions which influence the maturity of BI&A capability. A wide range of maturity models (MMs) have been developed, for the purpose of assessment of BI&A capability maturity. Managers may find it difficult to select the appropriate MM to use especially with the changing characteristics of data over time and advent of big data. Each of these models has multiple dimensions which are not necessarily exhaustive and distinct. This study consolidates the large number of dimensions found across 29 BI&A MMs in extant literature. With help of an expert panel, a set of six distinct and critical dimensions needed for assessing BI&A capability in organisations have been identified. Qualitative research tool NVIVO is used for analysis of the research articles.
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    Emerging trends and impact of business intelligence & analytics in organizations: Case studies from India
    (Sage, 2020-11) Tikoria, Jyoti
    Business Intelligence & Analytics (BI&A) has an increasing impact on decision making and business performance within most organizations today. These organizations regularly invest in resources required for BI&A. What is the impact of this investment? Which functions of the business does BI&A impact? Are there any trends seen in the usage and effectiveness of BI&A? Are these trends different across organizations with different levels of BI&A capability maturity? The purpose of this study was to discover patterns in the usage and effectiveness of BI&A across organizations which are at different levels of BI&A maturity. In the first phase of the study, the data sample was taken from 145 organizations in India. It was analyzed using the data mining technique – k-means clustering. The organizations were grouped into six clusters based on factors influencing BI&A capability maturity. In the second phase of the study, one case organization is taken from each cluster to gain deeper insights. In-depth interviews were conducted with a respondent from each case organization to understand the state of BI&A, the usage and effectiveness of BI&A. The interviews were analyzed using thematic analysis method in NVIVO 12 plus. The study identified the key characteristics which represented the state of BI&A capability maturity in the organization cluster. Findings show that groups of organization which had higher maturity of BI&A capability were using BI&A across larger number of functional areas and also experiencing the effectiveness of BI&A in more areas than the organizations which had lower maturity of BI&A capability.
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    Measuring Business Intelligence & Analytics capability maturity: A study of organizations in India
    (Inder Science, 2021) Tikoria, Jyoti
    While there have been studies for development and evaluation of maturity models for measuring business intelligence and analytics (BI&A) capability maturity of organisations, there has been no empirical study done solely for assessing the BI&A capability maturity of organisations. The purpose of this paper is to measure the BI&A capability maturity in organisations. This has been done through an empirical study with a sample of 145 organisations from different industry sectors in India. BI&A capability maturity has been assessed using six influencing factors. Analysis has been done based on industry sectors and segments, where findings have indicated some distinct industry segments with varying BI&A capability maturity. Organisations have also been grouped based on the maturity of six factors using K-means clustering technique. Each cluster was found to be representing a different level of maturity. The clusters have been reorganised to bring out interesting insights about BI&A capability maturity. The study presents important managerial implications.