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Showing posts with the label data analytics business model

Changing a Business Model Using Data Analytics for Increased Profitability and Growth

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OVERVIEW A real life case study serves as the background for this lesson in analysis and data gathering. Based on a situation where a business has been stable and profitable for several years a group of auditors completed an engagement that aligned with new managements ideas of growing the company. Through their work and analysis the audit team provided management with recommendations that changed the business model and resulted in increased profitability and growth. WHY SHOULD YOU ATTEND There are several value points found in this webinar, focussed on data analysis and business modeling . First of all participants will learn how to use big data analytics, and how to gather and aggregate data so that analysis can be more complete and comprehensive. Then, using that data, discover big data analytics solutions that provide alternative observations questioning the status quo and looking for different answers than found in typical audit and risk processes. Finally, through aggr...

Using Data Analytics to change a Business Model: How to add value to your clients

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OVERVIEW This webinar uses a case study of the Red Fern Trust Company to demonstrate how data analytics in business can become a valuable part of the audit process. More than just detective data or ad hoc review of existing data elements, this webinar will take the attendee past the common and the basic to new levels of effectiveness and contribution. Utilizing common internal audit processes with slight modification of analysis and ensuring compliance with IIA standards, this webinar will show all auditors, risk managers, and compliance or quality assurance staff how to provide more value for each assignment. Using Data Analytics to change a Business Model WHY SHOULD YOU ATTEND This webinar is a must for any auditor that wants to set themselves apart as an expert analyst and achieve trusted advisor status.  The review of data, inherent in many audits today, is not enough to be successful. Internal Audit requires more from itself and more is expected of audit by its ...