Big Data – Drive science into actions through actionable insight
Data analytics refers to qualitative and quantitative techniques and processes used to enhance productivity and business gain. Data is extracted and categorized to identify and analyse behavioral data and patterns, and techniques vary according to organizational requirements.
The big data revolution is taking the world by storm and some studies have shown that when a company’s operations are informed by data analytics, profits rise by 5%-10%. Leveraging predictive data analytics is no longer a competitive advantage but rather a competitive necessity. Our big data is turned into meaningful and insightful reporting.
By deploying analytics, we not only reduce costs and improve efficiency for our clients but also help them swiftly achieve the strategic market breakthroughs essential for gaining—and sustaining—advantages over their competitors.
Our use of analytics generates valuable business outcomes for clients in three ways. All businesses should aim for the same results with their outsourcing providers:
Most importantly we understand that as business process outsourcing (BPO) matures, so does the industry’s ability to improve outcomes for clients. Our research shows an industry moving toward a “cost-plus” value proposition that focuses on business impact, not just operational cost reduction.
-Analytical Customer Relationship Management (CRM)
- Dynamic Services
We build BI warehouses of the data to gain real time insight into the data and business. Machine learning software is used to develop predictive models, where they increase turnover or reduce costs.
The predictive tools are automated via software.
Technologies used : R , Python, Power Bi, .net.