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Business Intelligence (BI) and Business Analytics (BA)

Before starting this self study program, please go through the instructional document.

Overview

  • Wedding Expenses versus Divorce Time Rates
    5 mins
  • Confusion and Lack of Consensus about Business intelligence
    11 mins
  • Predictive Analytics - Which X is most likely to Y?
    21 mins
  • Balanced Scoreboard KPI Validation
    39 mins
  • Continuously Refreshing the Rolling Financial Forecast
    48 mins
  • Benefits from applying Business Analytics
    59 mins
  • Integration of Data, Data Science, and Technology
    70 mins

Course Description

Organizations are capturing more data than ever before due to the rise of multimedia, social media, and the growing popularity of internet-enabled devices.Volatility and complexity are the new normal. This exponential growth leaves many organizational leaders wondering how to manage big data and enable data-driven business decisions.  The shortage of qualified and experienced professionals is also creating a unique opportunity for accounting and finance professionals, who are at a distinct advantage to play a leading role in creating a strategic competitive advantage and driving business value.

Most organizations are drowning in data, but starving for information. The finance and accounting function has the opportunity to leverage Big Data and the continuum of analytics – descriptive, diagnostic, predictive, and prescriptive. All are useful for better decision making. Collecting, validating, and reporting data is not the same thing as analyzing information where we can glean valuable, actionable insights. In some ways, the finance function is many years behind other disciplines such as marketing, sales, and supply chain managers, in applying analytics. How can the CFO’s function catch up?

The demand for CPA professionals to be able to apply these tools is increasing every day. Don’t be left behind! This webinar will bring you up to speed on the concepts, nomenclature, applications and tools associated with data analytics and business intelligence. You owe it to yourself as a CPA professional to attend this course.

Learning Objectives

  • To recognize why there is an increased the interest in BI and BA?
  • To identify the analytics continuum
  • To explore how BA can provide a competitive advantage
  • To recognize the difference between BI and BA
  • To differentiate between forecasting and predictive analytics

Who Should Attend?

  • Accountant
  • Accounting Managers
  • Accounting Practice Owners
  • Accounts Director
  • Cloud Accountants
  • CPA (Industry)
  • CPA - Mid Size Firm
  • CPA - Small Firm
  • CPA in Business
  • Entrepreneurial Accountant
  • Entrepreneurial CPA
  • Finance Director
  • Finance Pros
  • VP Finance
  • Young CPA

Testimonial

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BH

Excellent info on the value that analytics can offer