Jehan Divecha - How can financial analytics enhance decision-making
                     
What is Financial Analytics? 
According to Jehan Divecha, Financial analytics is the 
process of using data and analytics to make financial 
decisions. This can include anything from investment 
decisions to budgeting and forecasting. Financial analytics 
can give organizations a better understanding of their 
financial situation and help them make more informed 
decisions. 
 
There are many different types of financial analytics, but 
some common methods include: 
 
1. Data mining: This is the process of extracting data from 
sources like financial reports and transaction records. This 
data can then be used to identify trends and patterns. 
2. Statistical analysis: This involves using statistical techniques to 
analyze data. This can help identify relationships between 
different variables and help predict future behavior. 
 
3. Machine learning: This is a type of artificial intelligence that can 
be used to automatically detect patterns in data. Machine 
learning can be used for things like fraud detection or identifying 
market trends. 
 
4. Optimization: This is the process of finding the best possible 
solution to a problem. Optimization can be used to find the most 
efficient way to use resources or to minimize risk. 
 
5. Visualization: This is the process of creating visual 
representations of data, which can make it easier to understand 
complex information. Visualization can be used to create charts, 
graphs, and other types of visuals. 
Why is financial analytics important?
Jehan Divecha says, Financial analytics is important because it can 
provide insights that help organizations make better decisions. For 
example, financial analytics can help organizations understand where 
they are spending money and whether or not they are getting value for 
their investment. Additionally, financial analytics can help identify 
trends and patterns that may be indicative of future problems or 
opportunities. By understanding these things, organizations can make 
more informed decisions about how to allocate their resources. 
Organizations face a variety of challenges when 
trying to make effective decisions. Financial 
analytics can help them overcome these challenges 
by providing insights that would otherwise be 
unavailable. For example, financial analytics can 
help organizations understand the impact of their 
decisions on their bottom line. Additionally, 
financial analytics can help organizations assess risk 
and identify potential areas of improvement. By 
leveraging financial analytics, organizations can 
make better-informed decisions that lead to 
improved outcomes. 
How can financial analytics be used to make better 
decisions?
Jehan Divecha says, Financial analytics can be used to make better 
decisions in a number of ways. First, it can help to identify trends and 
patterns in data that might otherwise be overlooked. This can be 
especially useful in detecting early warning signs of financial 
difficulties.  
Second, financial analytics can be used to develop and test 
different scenarios for how a business might respond to different 
economic conditions. This can help managers make more 
informed decisions about how to allocate resources and plan for 
the future. Finally, financial analytics can be used to track and 
monitor the performance of different parts of the business. This 
information can be used to make decisions about where to invest 
resources or make changes in operations. 
 
The benefits of financial analytics are clear. By understanding 
historical data and trends, businesses can make more informed 
decisions that lead to better outcomes. According to Jehan 
Divecha, Financial analytics can help businesses save money, 
increase revenue, and improve efficiency. When used correctly, 
financial analytics is a powerful tool that can give businesses the 
edge they need to succeed.