Workforce transformation: The four operating models of business intelligence
Conclusion: One of the misconceptions in business intelligence (BI) is that the goal is to capture and report upon all available data. This misses an essential business maxim: data is only useful when it is applied deliberately and with a clear goal in mind.
Too often, an organisation’s focus on BI quickly moves from aspirational principles of ‘being a data-driven business’ to discussions of technology architecture and data governance. However, it is dangerous to focus on simply hoarding data in the hope it will be useful in the future. What extracts value from data are steps taken after collection. And to define those steps, an organisation must first define the purpose to which the data will be applied.
IBRS has identified four increasingly sophisticated business models for how data can be applied: business reporting, data visualisation, key performance dashboard and predictive decision support.
About The Advisor
Joseph Sweeney
Dr. Joseph Sweeney is an IBRS advisor specialising in the areas of workforce transformation and the future of work, including; workplace strategies, end-user computing, collaboration, workflow and low code development, data-driven strategies, policy, and organisational cultural change. He is the author of IBRS’s Digital Workspaces methodology. Dr Sweeney has a particular focus on Microsoft, Google, AWS, VMWare, and Citrix. He often assists organisations in rationalising their licensing spend while increasing workforce engagement. He is also deeply engaged in the education sector. Joseph was awarded the University of Newcastle Medal in 2007 for his studies in Education, and his doctorate, granted in 2015, was based on research into Australia’s educational ICT policies for student device deployments.