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

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    Website http://bit.ly/2WiZgLb | Want to Edit it Edit Freely

    Category Data analytics business model; Advanced business analytics; Introduction to data analytics

    Deadline: April 16, 2020 | Date: April 16, 2020

    Venue/Country: Training Doyens 26468 E Walker Dr, Aurora, Colorad, U.S.A

    Updated: 2020-03-17 16:34:43 (GMT+9)

    Call For Papers - CFP

    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 aggregation and linking solutions become more comprehensive and easier to communicate to senior level executives, making impact more resounding and successful.

    AREAS COVERED

    Through this complete look at a business model and the strategic approach of that model attendees will spend time better understanding alternative ways to look to processes and data. Then, through several discussions, the path to aggregation of data elements and analysis of that data will provide a pathway to more complete issues that can be aligned to meaningful recommendations. Throughout the entire exercise the webinar stays true to the strategic goals of the organization allowing internal audit to contribute a value added solution to the business’ goals.

    LEARNING OBJECTIVES

    With the proper use of data and the appropriate analysis of that data decisions can be made that could change processes, procedures or strategic initiatives. This webinar shows you how data analytics is transforming business and how easy it is to change a business model through the use of data analysis.

    WHO WILL BENEFIT

    • Analysts

    • Internal Auditors

    • External Auditors

    • Business Managers

    • Operations Managers and Staff

    • Sales Managers and Staff

    • Members of the Board of Directors

    • Consultants

    • Risk Managers and Staff

    SPEAKER

    Dan has over 30 years in financial service industry. Beginning his career in 1982 and spending over 25 years within Citibank, he was exposed to national and international banking, primarily focusing in consumer, small business and retirement services. During his last 12 years at Citibank, he was an active leader in the Audit and Risk Review department. His audit and risk career at Citibank culminated when he resided in Miami and Mexico City and was responsible for auditing all $400B consumer banking activities located in Latin America, including the largest bank in Mexico, Banamex.

    Use Promo Code TDES20 and get flat 20% discount on all purchases.

    To Register (or) for more details please click on this below link:

    http://bit.ly/2WiZgLb

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    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.