Business Intelligence (BI) analytics play a pivotal role in empowering finance professionals with the tools and insights necessary to make informed and strategic financial decisions. In the dynamic landscape of finance, where data is abundant but must be sifted through effectively, BI analytics offer a transformative solution.
These tools enable finance professionals to collect, process, and analyse vast amounts of financial data, uncovering valuable patterns, trends, and correlations. They provide a comprehensive view of a company's financial health, performance, and potential risks.
Through BI analytics, finance professionals can generate accurate forecasts, identify cost-saving opportunities, optimise resource allocation, and assess the impact of various financial strategies. The role of these analytics is to enhance the accuracy of financial data and information and also empower finance professionals to make strategic decisions to drive business success based on accurate metrics.
These data-driven decisions can increase the competitiveness of an organisation in an already saturated market and allow business owners and professionals to make greater forward-thinking changes or continuous improvements which shape the future of the industry.
During this course, you’ll learn:
This course is designed for anyone responsible for analysing data analytics or making financial decisions based on accurate data to drive a company forward. It would be most beneficial for:
This course uses a variety of adult learning styles to aid full understanding and comprehension. Participants will view presentations and videos to understand the key data required to make business decisions in various scenarios and take part in a group discussion regarding the importance of data analytics in making changes for the future.
They will work in groups to review several analytical systems and understand how technology could enhance the data collection and reporting within their own business. Finally, they will discuss their learnings with the group and talk through the types of analytics they intend to use going forward to make strategic business decisions and explain how they feel this change will allow their organisation to be a trendsetter in their industry.
Section 1: Understanding Your Business Model
Section 2: How Data Can Change Your Business Direction
Section 3: The Purpose & Principles of Data Collection
Section 4: Statistical Vs Predictive Analytics
Section 5: Visualising Data for Stakeholders
Section 6: Technology & Data
Section 7: Managing Change in a Data-Fuelled Environment