Imagine a scenario, where sales teams are often hard-pressed for the time; busy calling, chatting, and emailing prospects who show the slightest interest in their products and services.
All that effort goes down the drain if they have been chasing wrong or unbaked leads, which will never convert! A customized predictive analytics solution can now help this sales team to target sales-ready leads!
In this scenario, our predictive analytics solution understands, that, not all sales leads are equal, and clearly differentiates a hot, sales-ready lead from a lead just entering the sales funnel. Online and offline buying signals, engagement patterns, job titles, industry type, number of opens, etc. are few factors considered to rank and score leads. A lead with the highest score is likely to convert, and getting these insights make the job of the sales team a lot easier.
Predictive Analytics is the use of data, statistical algorithms and machine learning techniques to identify the likelihood of future outcomes based on historical data. The goal is to go beyond knowing what has happened to provide the best assessment of what will happen in the future.
We have designed, developed and deployed predictive analytic solutions in solving several real-world business challenges such as (but not limited to):
- Sales analytics & recommendations
- Cross-sell probability estimation for individual customers
- Retention prediction & data-centric interventions in HR
- Automotive insurance renewal prediction
- Customer lifetime value prediction
- Delinquency prediction – loans, credit cards, etc.
- Fraud detection
- And many others...
Our 5-step Predictive Analytics process
We follow a streamlined process to provide the best possible analytics solutions. This involves
01. Scope Understanding
This step involves understanding client requirements, collecting sample data, and analyzing visualization needs Data Analysis
02. Data Analysis
This is the preparation stage for providing the solution and also acts as the configuration stage in case of repeat deployment Model Configuration
03. Model Configuration
Similar to the development stage, the solution comprising big data and data science model building is initiated with the provided data sets Quality Analysis
04. Quality Analysis
Here we test our solution with unseen data and verify the accuracy and model's confidence in the output generated. A few cycles of improvement may be necessitated based on the outcome Solution Deployment
05. Solution Deployment
The production ready solution is deployed along with the handover activities and contracted period of support
Software we leverage
Our predictive analytics solution is built by a team of experts in Big Data Technologies, Data Sciences, Statistical Analytics and Software Engineering. This is an industry agnostic solution which can be hosted in the cloud and can be accessed via the internet, and greatly benefits B2C and B2B customers. Following are some of the tools we leverage to provide top-quality predictive analytics solutions
