Industry Agnostic

We practice an iterative, methodical exploration of an organization's data, with an emphasis on statistical analysis and advanced analytical tools which can help business to take data driven decisions.

Business Research

Business research is a way to acquire detailed information about the different areas of business. The findings of the research help drive actions to increase sales and profit of the business. Which region/product can fetch maximum returns, is the product catering to all dimensions of the market, who are the potential competitors are few of the questions that can be answered through research. We do Qualitative researches such as case study research, Content analysis, focus groups, etc.; and Quantitative researches using statistical techniques, surveys, etc.
  • Market Research
  • Customer Research
  • Industry Research
  • Sector Research
  • Geography Research

How can you make your data to tell the story?

Reports and visualization can be called effective if they can convey the correct story. Business intelligence tools help extract information from various systems of the organization and then clean, extract, transform data and load the data to an in-house or cloud repository so as to obtain a centralized and global access of the data. This data can then be queried to build reports and visualizations using intelligent and agile tools. We use Agile Business Intelligence tools such as Tableau which can rapidly adapt to changing business needs. We can provide trustworthy analysis solutions in the form of on-demand and scheduled reports that can help simply the business process and also help the business take informed decisions quickly.
  • Digital Dashboard
  • Basic Reporting
  • Real Time Reporting
  • Data Mining

Sales Analytics

It is very important to understand the big picture in a sales organization so as to build the competitive advantage. In order to achieve that we need a few KPIs such as sales performance, cost to revenue ratios and quota attainment. By using our powerful analytics and visualization tools, we can help sales organisations to come up with actionable insights from their sales data. Sales analytics can help answer questions like, which geography we need to sell at, should we sell direct or through a channel, what channel should be chosen, will online channel prove beneficial, how many sales personals are needed, what are the promotions to run and so on.
  • Competitor Analysis
  • Trend Analytics
  • Product Performance Analytics
  • Pricing Analytics
  • Demand Forecasting
  • Order Management

Marketing Analytics

Using marketing analytics, we can understand the customer segments or the market, the chances that a lead will transform into a business, whether an account will generate revenue for the business and the chances of a customer to stay or leave the business. We take multiple data sources, combine them to a common data set and apply mathematical and statistical algorithms whose result can tell the organization how to go forward. Few of the questions that can be answered using our marketing analytics are how big is the market, who is the customer, what are the customer needs, what do they really value, how to reach the customers, where to spend my advertising budget, and which channel to advertise, how to decide the price point of the product, who are the most valuable customers, how can I repeat the customer purchases and so on.
  • Customer Segmentation
  • Customer Loyalty
  • Market Basket
  • Behavioral
  • Market Trends
  • Customer Satisfaction
  • Churn Analytics
  • Customer Lifetime value
  • Sales Channel Analysis
  • Competitor Analysis
  • Consumer Trends

Customer Analytics

Customer analytics has a significant impact on corporate performance. Data about customer browsing and buying patterns are everywhere. From online shopping to credit card transactions, to customer discount or coupons or loyalty programs and user-generated ratings/reviews, there is a astounding amount of data available. This data can be used to describe the customer’s past buying behaviors, predict future ones, and prescribe new ways to influence future purchasing decisions. Companies that use customer analytics are more likely to outperform their competitors on key performance metrics. Few of the customer analytics that we offer includes customer segmentation, customer satisfaction, churn analytics and so on.
  • Customer Segmentation Analytics
  • Customer Loyalty Analysis
  • Behavioral Analytics
  • Customer Acquisition Analytics
  • Customer Satisfaction Analytics
  • Churn Analytics
  • Customer Lifetime Value Analytics
  • Sales Channel Analytics
  • Customer Engagement Analytics