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Analytics and Big Data for Accountants (DAAN16)
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 Export to Your Calendar 9/28/2016
When: 9/28/2016
8:30 AM until 4:30 PM
Where: Crowne Plaza Hotel & Resorts
4728 Constitution Ave
Baton Rouge, Louisiana 
United States
Presenter: John Cox


Online registration is available until: 9/28/2016
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Acronym DAAN
CPE 8 hours
Vendor AICPA
Category
Management
Level Basic
Prerequisite None
Adv Prep None
Who should attend

CFOs, controllers, treasurers, and other financial managers

Registration Early Bird
(through 9/13)
Standard
(after 9/13)
Member $289 $339
CPA Non-Member $389 $439

The Member rate applies to LCPA members, reciprocal state society members, and non-CPA staff of LCPA members. To register online, use the ‘Register’ button above. To register by phone, call the LCPA Member Service Center at 800.288.5272 or 504.464.1040, Monday through Friday, 8am to 5pm.

AICPA members receive an additional $30 off the registration fee for this course.

Discount made at the time of checkout. Qualifying members should have received a promo code via email – if you are unsure whether you qualify, or you lost/never received your code, please call the LCPA Member Service Center at 504.464.1040 or 800.288.5272.

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.

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.

Topics

  • 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.

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