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Analytics and Big Data for Accountants (142-17)
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Analytics is the new force driving business. Tools have been created to measure program impacts and ROI, visualize data and business processes, and uncover the relationship between key performance indicators, many utilizing the unprecedented amount of data now flowing into organizations. In this course you will discuss leading-edge topics in analytics and finance in a session that is packed with useful tips and practical guidance that you can apply immediately.

 Export to Your Calendar 12/12/2017
When: 7:30 AM - 3:45 PM
Where: UACPA Training Room
136 South Main Street, Suite 510
Salt Lake City, Utah  84101
United States
Presenter: John Cox
Contact: April Deneault
801-466-8022


Online registration is available until: 12/11/2017
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Acronym DAAN
CPE 8 hours
Category
Finance
Level Basic
Vendor AICPA
Who should attend

CFOs, controllers, treasurers,  and other financial managers

Prerequisite
None
Fees: Early Bird
(through 11/28)
Standard
(after 11/28)
Member $257 $285
Non-Member: N/A
$340

AICPA Members receive an additional $30 off the price of this course. Use promo code AICPA8 at checkout to receive the discount.

The Member rate applies to UACPA members and reciprocal state society members. To register online, use the ‘Register’ button above. To register by phone, call the UACPA at 801.466.8022, Monday through Friday, 8am to 4pm.

Description 
Analytics is the new force driving business. Tools have been created to measure program impacts and ROI, visualize data and business processes, and uncover the relationship between key performance indicators, many utilizing the unprecedented amount of data now flowing into organizations. In this course you will discuss leading-edge topics in analytics and finance in a session that is packed with useful tips and practical guidance that you can apply immediately.


Major Subjects

  • Evidence-based techniques for finding or generating data, selecting  key performance indicators, isolating program effects
  • Relating data to return on investment, financial values, and executive decision making
  • Data sources including surveys, interviews, customer satisfaction, engagement, and operational data
  • Visualizing and presenting complex results

Objectives

  • Deal with major trends in predictive analytics, optimization, correlation  of metrics, and big data.
  • Interpret and manage new trends in analytics techniques affecting your organization.
  • Utilize new tools for data analytics.
  • Critically interpret analytic reports and advise decision makers.

 

 

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