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Leading the way towards better business insights
Abstract
Purpose
This paper seeks to present a best practice guide to using analytics as a tool for leaders at every organizational level to drive their companies towards better decision making.
Design/methodology/approach
The piece is based on the book Analytics at Work by Thomas Davenport, Jeanne Harris and Robert Morison, which was published in 2010.
Findings
Accenture research shows conclusively that high‐performing businesses have a much more developed analytical orientation than other organizations. In fact they are five times more likely than their competitors to view analytical capabilities as being core to the business.
Practical implications
Senior executives are playing a crucial role in moving their organizations towards analytical decision making. Experience shows that, if leaders support analytical initiatives, they are much more likely to succeed. This is partly because of the powerful influence they exert over business culture, and partly because they can deploy the people, money and time needed to develop effective analytics capabilities. That said, senior executives are not the only people needed to build an analytical business. Almost any employee can play a vital role as an analytical leader.
Originality/value
Accenture uses case studies based on in‐depth interviews and thought leadership to demonstrate how individuals at different organizational levels have succeeded in driving their business towards analytical decision making – with impressive results.
... Ultimately, this study empowers organizations to concentrate on key areas for successful BI implementation and future adoption. XII [7], [17] - [20] 18. Developing skill 19. Data talents 20. ...
... Data talents 20. Information level (information symmetry) [8], [17] 21. Had doubt about the value of analytics 22. Organization size 23. ...
... Financial support and readiness 27. Cost of adoption [8], [17] , [19] 28. The conflict between IT custodian and business functions within the organization [21] to realize the goal and discovery of siloeddata. ...
In today's dynamic and challenging business landscape,
organizations encounter numerous obstacles that impede efficient
operations. To surmount these challenges, organizations must adopt
novel strategies, with Business Intelligence (BI) emerging as a
favored approach. However, BI implementation is underpinned by
diverse frameworks, causing uncertainty in identifying the driving
forces behind organizational adoption. This research addresses this
gap by proposing enhanced Technology-Organization-Environment
(TOE) framework called “(OCKTUEES) framework” by looking at
more factors such as Organization, Complex, Knowledge,
Technology, User Experience, Economical, Environment, and
Social. This framework encompasses eight pivotal factors that
influence the adoption of BI within organizations. The proposed
framework was validated through extensive literature review in
identifying influencing factors and independent variables. This
paper not only furnishes organizations with a fresh framework
replete with invaluable drivers but also furnishes a focal point as
they embark on their BI or even any technology adoption journey
... Dessa maneira, observase a relevância do mapeamento do que vem a constituir a capabilidade analítica necessária para conduzir esforços na organização em direção à prática analítica, o que por sua vez, implicará por impactar em maior ou menor grau as diversas variáveis que compõem a realidade organizacional. Assim, a partir da possibilidade de mensuração da capabilidade analítica dos indivíduos, seria possível analisar o impacto desta variação no desempenho dos processos, e por conseguinte, no desempenho organizacional, o que propiciaria a estas organizações a se tornarem competidores analíticos (Davenport & Harris, 2010). ...
... O Quadro 3, por sua vez, vem para corroborar com as demais análises explanadas ao longo deste trabalho, que repousa nos interresses afins estabelecidos pelos autores ao se estudar a BusinessAnalytics nos estudos organizacionais. Comumente, observa-se que a aplicação de BAestá intrinsecamente ligada, dentre outros objetivos,à otimização dos processos de negócio, à alavancagem de desempenho, à melhoria da tomada de decisão, à avaliação de desempenho da mão-se-obra; e bem como à avaliação da sua própria efetividade (Oliveira, McCormack & Trkman, 2012;Davenport & Harris, 2010;Harris, Craig & Light, 2011;KmWorld, 2013;Chae, Yang, Olson & Sheu, 2014). ...
... This approach aims to provide valuable insights that can guide BI stakeholders in implementing remedial actions and enhancements to improve overall implementation success. Data availability and quality of data to present insight [19] 8 Skill and skill redevelopment expected in IT and non-IT stakeholders [19] 9 High cost and tangible return [24] 10 The complexity involved in handling technically [25], [26] [27] stands out as one of the most prominent and extensively employed models. TOE frameworks have been expanded, incorporating elements from the innovation diffusion theory (IDT). ...
Business intelligence (BI) is a vital component for businesses of all scales, offering actionable insights crucial for timely decision-making. This technology has become integral across diverse enterprises. Recognizing the factors influencing BI adoption is imperative, and this article employs the organization, complexity, knowledge, technology, user perception and experience, economic, environmental, and social (OCKTUEES) framework to identify key aspects. Building upon the TOE framework, it pinpoints significant variables, emphasizing the importance of factors like user perception and experience, technology, social, economical, and environmental. Employing structural equation modelling on primary data yields actionable insights to address BI adoption challenges. Analysis reveals the user perception and experience, technology, social, economic, and environmental as the top factors. However, the organization appears vulnerable, necessitating a mitigation strategy for successful BI adoption. The study predicts insignificant variables requiring mitigation, such as high costs, inadequate resources, organizational size, security and privacy concerns, risk of open-source adoption, and perception of analytics impacting jobs. This research aids those navigating the BI implementation journey. This is an open access article under the CC BY-SA license.
... Analytics is one of the most significant sources of competitiveness in the modern world (Kamensky, 2015). Successful enterprises are at a significantly higher level in their orientation toward analytics (Davenport and Harris, 2010). AI systems can process unstructured data (e.g., text, audio, and video) into structured data that is schematically standardized and organized. ...
Artificial intelligence (AI) in sustainable businesses has attracted interest in various industries. However,research on the sustainable adoption of AI is scarce. The present research contributes to this gap by investigating the benefits of AI for sustainable businesses. Qualitative content analysis was used to investigate twenty-five of the largest Finnish enterprises. In the years 2017–2021, AI was employed in twenty of these enterprises, sixteen of which relied on AI to obtain benefits associated with sustainable business practices. Based on the sample, AI can be perceived as a generalizing technology in Finland. Additionally, the strategic significance of AI for enterprises has been discovered to be increasing. The research results indicate that AI deployment was driven primarily by two interlinked aims: 1) optimization and 2) the pursuit of benefits in various dimensions of sustainable business.
... Modern technology has made it probable for HR personnel and line managers to have virtual, nonface-to-face conferences and communications (Kapoor & Sherif, 2012). Davenport and Harris (2010) state that there has never been a better time to develop the analytical leaders in businesses. From an African perspective, Schultz and Van der Walt (2015) mentioned different approaches, such as business simulations and games, behavioural tools for assessment and intervention and job rotation. ...
A theoretical review of business acumen and social capital was conducted that would apply to human resource management practice to identify the desired behaviour of high-performing human resource professionals. The links of intellectual capital to human capital and organisation capital are necessary to contextualise social capital and its link with human capital resources and business acumen. A conceptual framework was proposed, consisting of business aspects, personal attributes and relationships to enhance human resource professionals’ business acumen. HR business acumen consists mainly of business aspects, personal attributes and relationships to enhance social capital. Specific business aspects involve thinking, knowledge, orientation and skills. An HR professional needs to possess executive-level thinking and systems thinking. They also must have business knowledge, a strategic orientation and skills such as financial literacy and being able to do metrics. Personal attributes such as agility, attitude, innovation, creativity, leadership, trustworthiness and responsiveness are of the essence. Lastly, relationships entail shared norms and values, trust, engagement and collaboration.
Apparel products are essential for any society, and its business operations are extensively competitive. The ability to optimize serving business processes while satisfying customer expectations has never been more critical than in today's globalized business world. Therefore, managing and channeling business operational data to work towards customer delight and generate healthy profits is essential to survive prosperously. Practitioners are highlighting the benefits of retail data analytics that are now being applied at every stage of the business process - tracking emerging popular products, forecasting sales, and future demand through predictive intelligence by using intelligent techniques. The chapter focuses on big data analytics software systems, their testing, and quality assurance-related issues in Hadoop, an open-source framework. It discusses challenges concerning massively parallel data generation from multiple sources, data characterization, software application quality factors, and some software testing mechanisms.
In today's dynamic and challenging business landscape, organizations encounter numerous obstacles that impede efficient operations. To surmount these challenges, organizations must adopt novel strategies, with Business Intelligence (BI) emerging as a favored approach. However, BI implementation is underpinned by diverse frameworks, causing uncertainty in identifying the driving forces behind organizational adoption. This research addresses this gap by introducing the Organizational, Complex, Knowledge-based Technological, User Experience, Economic, Environmental, and Social (OCKTUEES) framework. This framework encompasses eight pivotal factors that influence the adoption of BI within organizations. The proposed framework was validated through data analysis utilizing Structural Equation Modeling. The findings underscore the prominence of Perception and User Experience, Technology, Social Dynamics, Economic Viability, and Environmental Considerations as the top five influential drivers among the eight factors investigated. Diverging from existing frameworks like Technology-Organization-Environment (TOE), Model of Adoption (MOA), Diffusion of Innovation (DOI), and Resource-Based View (RBV), the OCKTUEES framework offers a more comprehensive array of constructs and meticulously reorganized variables. This paper not only furnishes organizations with a fresh framework replete with invaluable drivers but also furnishes a focal point as they embark on their business intelligence or any technology adoption journey.
Esta pesquisa tem como objetivo analisar a produção acadêmica internacional sobre business analytics (abordagem analítica) obtida em periódicos internacionais disponíveis em sete base de dados. A pesquisa pretende contribuir auxiliando pesquisadores e profissionais interessados no tema com um panorama dos estudos já realizados. A pesquisa avaliou publicações no período entre 2004 e 2016, utilizando-se de técnicas bibliométricas para investigar 47 artigos. Dentre os achados da pesquisa, está que empresas atualmente veem na orientação analítica a oportunidade para obter resultados superiores de desempenho.
New Growth from Enterprise Systems
- J.G Harris
- T.H. Davenport
Weak analytics capabilities hindering companies' and Governments' decision-making abilities
- Accenture