Analytics & Big Data

Big data analytics helps organizations harness their data and use it to identify new opportunities. That, in turn, leads to smarter business moves, more efficient operations, higher profits and happier customers.

Cost reduction. Big data technologies such as Hadoop and cloud-based analytics bring significant cost advantages when it comes to storing large amounts of data – plus they can identify more efficient ways of doing business.

Faster, better decision making. With the speed of Hadoop and in-memory analytics, combined with the ability to analyze new sources of data, businesses are able to analyze information immediately – and make decisions based on what they’ve learned.

New products and services. With the ability to gauge customer needs and satisfaction through analytics comes the power to give customers what they want. With big data analytics, more companies are creating new products to meet customers’ needs.

CNE Systems leverages its domain expertise to deliver analytics and insights to clients. Our services allow our clients to devise productive marketing strategies, improve their Return on Investment (ROI), measure and mitigate risks, and make informed financial decisions. We help businesses to take efficient business decisions with our domain-specific services.


End User Analytics

Through this service, we help our customers understand their customer buying behavior, consumption trends, and improve customer loyalty. We help them devise strategies to improve the value of their customer lifecycle. We can provide:

  • Campaign Analytics
  • Pre-Campaign Services
  • Planning and Budgeting
  • Campaign Set Up and Execution
  • Monitoring and Reporting
  • Response Capture

Financial Risk Analytics

We allow businesses to manage their investments, cash flow, and expenditure efficiently. Our risk analysis services are designed to help organizations identify potential risks. Also it help them avoid chances of fraudulent practices, and devise contingency planning, and improve their forecasting.

We provide advanced financial analytics services such as:

  • Research and Analysis
  • Financial Modelling and Valuation
  • Editorial and Graphical Presentations
  • Integrating Big Data and Analytics in Your Existing Environment

Supply Chain Analytics

Today, businesses are trying to improve their ROIs by optimizing their supply chains. We empower businesses to improve their supply chains by providing enhanced business analytics. We provide the following types of supply chain analytics services:

  • Demand Forecasting
  • Spend Analytics
  • Inventory Optimization

Sales and Marketing Analytics

Business enterprises are challenged to retain customers and meet the demand for customized services. They always look for a framework that will help them understand customers’ buying preferences and behavior, build engagement plans, and help maximize their ROIs.

Operational Analysis

Our data experts can conduct real-time analysis of operational processes to help clients optimize their business processes, identify inefficiencies, and potential risks, and eliminate them. We aggregate data from different sources such as social media platforms, or internal database to help our clients.

CNE Platforms

Data Science & BI

Data management is becoming a big challenge for many business organizations. Our data science services and solutions allow businesses take effective data-driven decisions, optimize their business operations, and identify market opportunities.

Machine Learning Solutions

Businesses have known for the longest time that selling more products to an existing customer is generally easier than converting a new customer. CNE offers smart solutions to enable businesses to seek out more revenue from their existing customers using Data Analytics. To know more about CNE Machine Learning, please click here.

Big Data Management

Driven by specialized analytics systems and software, big data analytics can point the way to various business benefits, including new revenue opportunities, more effective marketing, better customer service, improved operational efficiency and competitive advantages.

Big data analytics applications enable data scientists, predictive modelers, statisticians and other analytics professionals to analyze growing volumes of structured transaction data, plus other forms of data that are often left untapped by conventional business intelligence (BI) and analytics programs. This encompasses a mix of semi-structured and unstructured data such as internet clickstream data, web server logs, social media content, text from customer emails and survey responses, mobile-phone call-detail records and machine data captured by sensors connected to the internet of things.

On a broad scale, data analytics technologies and techniques provide a means of analyzing data sets and drawing conclusions about them to help organizations make informed business decisions. BI queries answer basic questions about business operations and performance. Big data analytics is a form of advanced analytics, which involves complex applications with elements such as predictive models, statistical algorithms and what-if analyses powered by high-performance analytics systems.

We have extensive expertise in using the Hadoop platform and its associated ecosystem technologies such YARN, Hive, Ambari, Sqoop, etc.