We offer advanced analytics solutions that drive customer loyalty and value to companies across the globe including Fortune 500 companies
Banking, Financial Services & Insurance
• Leading global payments network
• Major life & non-life insurance companies
• Leading asset management company
• Leading brokerage investment management company
• Major small business lending company
Retail & CPG
• Major consumer health products MNC
• Global sports products company
• Leading retail and real estate company in the Middle East
• Major cross-category online classifieds platform
Telecom, Technology & Media
• Top mobile service providers
• Emerging mobile technology and software
• US based healthcare provider
• Major diagnostic chain
Travel, Aviation & Hospitality
• High profile Airlines
• Major players in the travel & tourism sector
We appreciate your highly professional approach. Your team has solid understanding of analytics tools and techniques used for customer and marketing analytics. Your continuous follow-ups help us maintain the project timelines. Customer analytics is going to be very helpful for our targeted campaigns
TransOrg has a very capable team in the field of data analytics. They actively participated in business discussion and were quick to understand our business priorities and challenges, and accordingly offered appropriate analytics solutions. Their quality of service and turnaround times exceeded our expectations. Senior leaders from TransOrg are actively involved and leverage their business experience during the project. Thank you very much for your support.
Your team has shown commitment and dedication in execution and built an in-depth understanding of our complex data structures and tables which is impressive. Tight timelines were duly adhered and key analytic requirements were delivered on time. Quality of work has been good and your senior management’s active engagement in project has been extremely helpful.
Your knowledge sharing session on advanced analytics was appreciated by both marketing and IT teams. We would like to thank you for making the complex topic of predictive analytics, relatively easy to understand. We request you to hold similar sessions in the future for our business teams.