Data and Analytics Consulting
Modernize your business processes through hybrid data architectures, Big Data and Analytical solutions to increase revenue and drive meaningful engagement. Identify emerging trends and future outcomes to become the leader in your segment.
Grow your Business with Data Analytics and AI Services
We transform your business data into insights and actionable goals to improve productivity. Our full stack of data analysis and AI solutions like data visualisation, data warehousing and data advisory solutions will easily breakdown your complex business problem into a solution through insights from your data.
Book a discovery call to help us understand your data requirements and formulate the best solution
Our Services
- Business Consulting
- Hire-Train-Deploy
- Staffing Manpower Consulting
- Contract To Hire
D2PR Data Analytics
How we can help your organisation
Understand target audience
You can gain insights into your audiences and campaigns that help you improve your targeting criteria.
Automate processes
By eliminating the repetitive manual tasks, you can focus more on actual business growth
Boost business performance
Identify bottlenecks in your business and new business opportunities through analysing data
Personalised customer service
Identify what customers want and respond to and accordingly tweak your marketing strategies
Predicting trends
Using predictive analysis, be aware of future trends and events to be ahead of the competition.
Increase revenue and growth
Increase productivity through tangible goals based on targets and improve your recruitment and management processes to increase profit for your organisation
Industries
Retail
Retail is a sector which has a large volume of data to analyse trends and opportunities. Data Analytics and Big Data can help in analysing customer preferences, supply chain movement and improve customer loyalty based on personalised marketing solutions
Banking & Financial Services
Data Analysis in Banking provides insights into the unsaid needs of the customer. Based on customer segmentation, sales process can be improved by suggesting the right financial products to the customer, thus reducing credit risk and frauds in financial systems.
Insurance
Insurance companies use Big Data in a number of ways. Predictive Analytics in Insurance can help identify claims and predict fraudulent activities by studying customer behaviour. On the other hand, it can also help customers select the right insurance product based on a comparative Insurance Pricing Model.
Manufacturing
Manufacturing analytics is the use of operations and events data to ensure quality, increase performance, detect equipment malfunctioning and thus reduce operational costs in the supply chain.
Health
Data analytics in clinical settings helps to reduce patient waiting time, thus increasing patient retention. Predictive analysis techniques are also used for helping with clinical decisions at the point of care and to curb the spread of infectious diseases.
Logistics
With the growth of eCommerce and digital businesses, the need for efficient logistics operations has become a necessity. Big Data Analytics provides companies with accurate supply and demand forecasting to co-ordinate the inventory and shipment planning
