Using Big Data Analytics to Increase Profits

Overview: 

Today, big data analytics is an invaluable tool to collect massive volumes of high-quality data in real time and organize it into an easy-to-use form so managers can make better decisions. Financial professionals who are knowledgeable in this area can gain a huge competitive advantage. In this seminar, you’ll learn how to:

  • Identify your company’s big data
  • Tap into diverse types of information, make connections and create actionable results
  • Optimize decision-making by providing real-time information and insights based on analytics
  • Provide useful data from historic reporting to real-time analysis
  • Utilize big data analytics to improve operations, reduce costs and increase profits
     
Objective: 

To show financial professionals how to use the latest big data analytics to track the performance of the various components of a business and gain valuable insights to increase efficiency, lower expenses and boost profits. This seminar will also provide an update on the latest cutting-edge technology in the marketplace.

Emphasis: 
  • What is big data analytics and why is it important?
  • Building a culture of analytics
  • Moving beyond standard financial analytics to answer the question “why?”
  • Determining the right analytics for each area of business
  • Operational analytics and coverage ratios
  • Website and e-commerce analytics
  • Ensuring data quality and controlling access to data
  • Data warehouses, OLAP Cubes and customer dynamics
  • Utilizing Pivot Tables, Charts and Slicers in analyzing data
  • Taking advantage of Excel add-in called Power Pivot and Excel Data Model capability
  • Accessing and organizing actionable data
  • Leveraging big data to gain customer insights, cut costs and increase profits
  • Selling the benefits of big data analytics to end-users
     
Bottom
Prerequisite: 

None.

Preparation: 

No advanced preparation required.

Level of Knowledge: 

Overview.

CPE Credit: 
8.00
NASBA Field of Study: 
Finance