Sales Analytics: Reve align the Power of Data in Sales for B2B & B2C Businesses 
                     Sales Analytics: Reve aling the Power 
of Data in Sales for B2B & B2C 
Businesses 
Overview
• The data also highlights the high and low margin in the 
respective months and years. 
• Therefore, if you are a B2B or B2C company, knowing the 
power of data in sales is unbelievably important for your 
business. 
• data analytics and business intelligence in the 
organizational world. Also, the top-most benefits of using 
sales analytics for better productivity.
What is Sales Analytics and 
its Top Benefits?
•Sales analytics is a method for extracting useful and 
comprehensive insights from your company's sales data. 
•Which data analytics strategy has proven to be the most 
successful?
•Which part of your sales funnel do you think your customers are 
most likely to leave?
•Which member of the sales team has repeatedly performed below 
expectations?
•By analyzing data analytics and business intelligence, you 
can discover what client demands are yet to be addressed. You'll 
be able to maximize cross- and up-selling opportunities while also 
laying the groundwork for long-term customer loyalty.
The Fundamentals of Sales 
Analysis
• Data Incorporation Layer: In order to conduct a full 
data analysis, this layer assists in the gathering of vital 
data from both internal and external sources.
• Data Management Layer – This layer is responsible for 
ensuring data security and quality.
• Data Evaluation Layer - This layer brings together the 
numerous types of sales analytics that are relevant to 
your business.
• Reports, dashboards, and presentations are all part of the 
Analytics Results Layer, which gives detailed insights in a 
visual format.
Conclusion
• There are many top data analytics companies that can 
start with the basic functionality put into the cloud to 
decrease launch time and equipment expenses.
• Once you've evaluated the worth of your present sales 
data analytics and the need to fulfil the upcoming 
requirements, you can move forward with upgrading the 
solutions.
• For example, you could use data science, a solid DWH, 
and predictive sales analytics.
Thank You