Business Analytics
We provide analytics solution of multidisciplinary blend of data inference, algorithm development, and technology in order to solve analytically complex problems for our client. Our solution and services help enterprises to integrate and bring together huge volumes of data from different data sources, transforming raw data into valuable information for faster and accurate analytics, decision-making and automation. Our big data analytics solutions assist businesses to drive customer and improve the operations and provide outcomes through predictive, prescriptive, diagnostic and cognitive analytics.
We are building a transparent marketplace of companies offering B2B products & services. Our service helps enterprises to extract value from these massive amounts of data to drive business growth and efficiency.
- Project Management
- Data Analytics
- Implementation and Integration
- 3.1 Data Preparation
- 3.2 Model Generation
- 3.3 Performance Tuning
- 3.4 Migration
- 3.5 Training
We spent time on understanding the exact business problem and then converting this business problem into an analytics problem that can be solved with data. We believe in iterative model building, a crucial stage of the analytics project. Considering the uncertainty of the typical analytics project compare to IT project, we assure to deliver the best project management practices to deliver the project to our client.
We analyze the client data to identity underlying hidden patterns to increase competitive advantage, e.g., customer loyalty analyses, product cross-sell modeling, and sales forecasting. Data analytics help businesses increase revenues, improve operational efficiency, optimize marketing campaigns and customer service efforts, respond more quickly to emerging market trends and gain a competitive edge over rivals -- all with the goal of boosting business performance.
We helped our clients to implement the analytics project successfully and integrate the same with their business. We helped our client for the implementation in the following ways:
Enriching the data set by missing value replacement, outlier analysis, categorical variable definition.
Generating the model, testing and refining on basis of validity of output.
Enhancing model and scripts on ongoing basis, over and above model self-learning.
Migration of algorithms, models from one platform to the other, e.g., R to Python.
Training of business users as well as technical teams on Python and R.
We democratize strategy, engineering, portfolio, and organization services to support your big data efforts. These services include implementing and providing ongoing maintenance, enhancement and support of big data, analytics and cognitive solutions and capabilities.
Programming
- R
- Python
Tools
- Alteryx
- KNIME Analytics Program
- RapidMiner
Today, enterprises are applying data science to unlock the value of Big Data with actionable insights to allow for data-driven decisions for products and services that reduce customer churn, improve customer satisfaction, optimize operations, re-define business strategies and increase revenue.
- About Client
- Problem Statement
- Our Solution
- Benefit to Client
- Improve customer retention rate by 85%
- Set KPI’s and better understand customer preferences
- Delivering accurate insights to both the operational and executive teams
- Developing new programs aimed at minimizing customer churn
Our Client is Indian new generation bank offers commercial, transactional and electronic banking products and services. It is a large retail bank that provides a range of simple and convenient personal banking and insurance products designed to specifically meet the needs of its customers. By putting the customer first and rewarding loyalty, the bank makes life easier for customers with all products and services offered online, mobile and over the phone.
For our client, the number of customers switching over to other financial service providers has increased significantly over the past few years. The high customer churn rates have resulted in huge loses for the client. Though systematic recovery is still in its infancy in the banking world, client can use creditworthiness and customer data to retain and recover former customers rather than acquiring new ones.
We perform the predictive churn analysis for our client which provides the business insights on what are the different reasons churn analysis and helps to identify the cause (and timing) of this churn opening opportunities to implement effective retention strategies.
Our Solution has helped the client to: