New MACPA.org Launching 4/1! Stay tuned for a brand new online experience.

Analytics and Big Data for Accountants

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.

Learning Objectives
  1. Deal with major trends in predictive analytics, optimization, correlation of metrics, and big data
  2. Interpret and manage new trends in analytics techniques affecting your organization
  3. Utilize new tools for data analytics
  4. Critically interpret analytic reports and advise decision makers.
Major Topics
  1. Evidence-based techniques for finding or generating data, selecting key performance indicators, isolating program effects
  2. Relating data to return on investment, financial values, and executive decision making
  3. Data sources including surveys, interviews, customer satisfaction, engagement, and operational data
  4. Visualizing and presenting complex results.
Provider
AICPA
Course Level
Basic
Professional Area of Focus
Business & Industry
CPE Field of Study
Finance
8
Who Should Attend

CFOs, controllers, treasurers, and other financial managers

Instructor(s)
George Scheeler
Prerequisites
None
Advanced Preparation
  1. None
Location
 
MACPA Columbia Center
10280 Old Columbia Rd
Columbia, MD 21046 US
View in Google Maps
Event Information
When
Oct 31, 2017
8:00 am - 3:30 pm EST
Location
MACPA Columbia Center
10280 Old Columbia Rd
Columbia, MD 21046 US
Total CPE Credits
8
Format
In-Person

MEMBER


$ (% off)
$295.00

NON-MEMBER


$ (% off)
$395.00
Become A Member

Register for this Event

Analytics and Big Data for Accountants


Loading
Your browser is out-of-date!

Update your browser to view this website correctly.

Update my browser now

×