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You must first start with analyzing the business in it’s existing state and find any scenarios that are repairable. Then you move onto the future and what you are looking to achieve long term.
Developing operational efficiencies comes first, repairing what can be repaired and looking into must-haves is next. After you have your processes and business requirements documented, you explore a centralized location to store and leverage the analytics (i.e. ERP, or a Database).
Digital transformation brings the plan to fruition, and you now start reporting on the basics. Remember, analytics is a hierarchy; you cannot have prescriptive or cognitive analytics without descriptive analytics, or predictive modelling is done first.
Establishing consistency of data company-wide is crucial to the success of analytics as you should not be faced with several boardroom attendees, all having different data sets.
As a Chartered Accountant, business owner and IT specialist, Murray’s insight into financial software is unparalleled. You’ll also love his business-first approach in every technology discussion.
Business Solutions Specialist
With experience deploying hundreds of ERP implementations and enhancements, Samantha brings a wealth of technical expertise to find the right solution.
With extensive experience in various industries, including professional services, distribution and manufacturing, Steve brings a well-rounded knowledge of requirements and areas of efficiency.
Queen’s University Professor
Dean has been working at Queen’s University for 28 years. During this time, he has reached out to the business community to understand their needs and then convert those needs into academic programs – from computer science to environmental studies to management analytics. He enjoys working with students because they bring so much creativity, energy and optimism to the classroom. He has always enjoyed technology and using it to make life better.