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Sales Data Analytics

Sales Teams are probably the most data-driven teams within an organization. Every little effort must be tracked, recorded, understood, and analysed for an effective marketing plan and strategic pricing models.

Conventionally, sales agents and their managers have been using simple tools from diaries to spreadsheets to track and analyse data critical to business.

Here is an example – Sam is a field agent who has to visit 10 stores in a day, in a particular beat. He carries a diary with him that he uses to record numbers and make important notes of the day related to SKUs, which store is doing well etc. Imagine the power of data in his diary. His manager records data provided by him and several other field agents in a spreadsheet. But there are a myriad of challenges and gaps in the whole process –

  1. Everyone is recording data in silo. Therefore, there is a massive lag in information sharing and information processing. That in-turn leads to delayed decision making, including high stake decisions.
  2. Data is coming from varied sources in unstructured formats. Therefore, a lot of times crucial data is lost in transit. That causes inability to form a complete picture from the available data.
    That also leads to sales professionals sometimes focusing on less relevant or irrelevant data that does more harm than good.
  3. Sales force including leaders are supposed to be great sales professionals. Being data-savvy is not necessarily their strength. Conventional ways of data sharing and analysing lacks in providing these professionals tools and techniques to connect the dots and find patters from the available data.

Many organizations confuse and compromise the strengths of sales professionals by distributing their focus between product selling and data tracking. Most of the times, people take intuitive decisions to avoid digging into data until there is a visible blip in the trend line that raises eyebrows. And then they have nothing to do than return to data stores.

Ergo, progressive organisations are leveraging the potential of sales data analytics to derive maximum value from their data.

Sales data analytics simply refers to the act of leveraging technologies to discover, diagnose, process, manage and analyse sales data for identifying sales trends and patterns.

With the help of sales data analytics tools, stakeholders get a single customer view that enables them to understand their customer’s priorities and preferences.

Forward thinking organizations are using advancement in AI and ML to gain insights and decode the why’s’ of the data that they collect. They are investing in AI enabled predictive data analytics tools that can help their teams maximize value from data. These sales data analytics tools help them forecast sales patterns, strategize and devise sales plans and pricing models, assess performance, innovate and create newer sales techniques.

Beagle is an AI enabled personal virtual analyst that address all aforesaid challenges and delivers much more than just that.

Beagle enables automated sales data analytics by –

  1. Aggregating data from varied sources – structured and unstructured.
  2. Integrating with workplace collaboration tools like MS Teams and Slack, so that data extraction is simple and quick.
  3. Offering a guided interface where the user can get data insights just by choosing some filters.

Apart from that, Beagle functions on the philosophy of data democratization. It serves everyone equally including and especially non data-savvy audience. So, sales professionals do not need to be trained on this tool. They need to do selling and Beagle will ensure that they get data insights in just the format they understand.

Decision Point Pvt. Ltd.
7th Floor, Veritas Tower, Sector 53
Gurgaon – 122003

Email: beagle@decisionpoint.in
Phone: +17182134453, +91-9109297799

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