Why Use Data Analytics to Improve Sales

Dec 22, 2017

healthcare retail

Sales can be considered to be one of the most important channels for profit in an organization. Some of the organizations exhibit such a high level of dependence on sales that a majority of their revenues are generated from sales itself. Traditionally, sales organizations used to look out for the best salesman and motivate them with the best incentive programs to boost sales. However, once organizations reach the saturation point, there’s not much they can do. But that is no longer the case now, as organizations are using data analytics to generate in-depth insights that can help them improve sales. Sales analytics provides a segregated view into sales figures, which allows the sales team to examine what initiatives work and point out areas of improvement. Using a sales analytics software can assist the sales team in the following ways:

Ease of Access

Today, many ERP providers offer cloud solutions to their clients, which can be accessed through any devices. It enables the sales team to attend a meeting with their tablet with accessibility to all sales reports at any time of the day. It allows sales professionals to quickly glance at a data and communicate recent updates to subordinates. With such ease of access, it hastens the communication process and allows for quick decisions to be taken.

We provide best-in-class data analytics frameworks to facilitate a better understanding of new business opportunities and complex challenges. Contact our analytics experts for insights.

Automatic Updates

Since ERP vendors are providing data analytics solutions over the cloud, every information and data points are constantly updated. This enables the sales team to view the reports and insights with real-time data. Recent sales analytics software can automatically update and incorporate new features. It allows the sales organization to gather an accurate picture of the current scenario at the time of reporting. It is very common for businessmen to waste long hours in preparing reports a day in advance. Data analytics software eliminates all such problems with automatic data updates without any errors in a presentable format.

Improved Visibility

ERP systems can be set up to provide various levels of authority to different persons. For instance, it can give full access to CEOs and CPOs, whereas limit only specific client figures to the individual salesman. Additionally, the software will provide data and insights on a dashboard with a visual representation of the company’s sales performance. Such visual representation tools allow stakeholders to make quick and accurate business decisions.

For more information on how data analytics can help the sales team to improve sales, ERP systems, and sales analytics software, request for more information.

Sales force Transparency

Data analytics and ERP systems give sales professionals a competitive edge in achieving their targets. Sales analytics software can put information on individual customers in hand, so they can be adaptive to identify cross-selling and upselling opportunities. Also, it gives information on the performance of each salesperson to identify their strengths and weaknesses to help them develop their abilities. 

Related Articles:

Ready to Harness Game-Changing Insights?

Request a free solution pilot to know how we can help you derive intelligent, actionable insights from complex, unstructured data with minimum effort to drive competitive readiness, market excellence, and success.

Recent Blogs

Supply Chain Analytics and its Importance for Businesses

Supply Chain Analytics and its Importance for Businesses

Supply chains generate massive amounts of structured and unstructured data, which, when used efficiently, can enable organizations to gain intelligent, actionable insights. Traditional supply chains, that do not make use of data analytics are siloed and slow-moving,...

read more
Four Metrics in the Telecom Industry to Make Smart Decisions

Four Metrics in the Telecom Industry to Make Smart Decisions

What you can expect from the Telecom Analytics Metrics Article IntroductionTelecom Analytics Metrics Highlights of the Telecom Analytics Metrics Article S NoTelecom Analytics Metrics1.Average Revenue Per User (ARPU)2.Minutes of Usage (MOU)3.Churn Rate4.Subscriber...

read more

Industries

Our advanced analytics expertise spans across industries, sectors, and functions, which enables us to deliver robust, agile solutions to all our clients. These are our core competencies, formed through years of experience.

Insights

Our free resources shed light on our extensive expertise and equip you with information to accelerate decision-making, growth, and innovation.

Share This
Talk to us
Talk to us