M-reporter Analytics shared real time report of transactions. It also provided analytics of category causing losses, merchant wise losses/ revenue, It also provided analytics for cross sell opportunities from existing merchant base and also suggested cross sell product based upon multiple criteria.This tool also helped in understanding portfolio at micro level and business expansion planning.
Why to Have Mreporter Analytics
1.Focused employee performance level
2.Identify cross sell opportunities
3. To enable business decisions to be tied back to trends
4.Alert business/ Merchant to potential problems
5.Provide reasoning and justification for budget, planning and expansion
Data Analytics for Merchant Acquiring Company
Data analytics of acquiring business revolves around these four key parameters that drives the overall profitability of the organization.
Businesses should focus on these key parameters when they try to analyze their data
Case Study 1
OVERVIEW - Payment Aggregator/ ISO (Client) manages its POS business portfolio either through Excel or different dashboards provided by partners. One consolidated dashboard which presents MDR losses MCC wise & merchant-wise
PROBLEM - It was very challenging for client to measure portfolio profitability and make decision accordingly. Client had employed few resources to access and arrange data from multiple sheets & MIS. Even one mistake from data formatting would create adverse effect on business. Also the process would need lot of time which lead them loosing funds in case of fraudulent transactions. Further, the client had to invest heavily in business analytics tool which would be specific to certain products making it unavailable solution. The tool needed was to understand losses/revenue in specific category, state, manager wise, card product.
SOLUTION - Develop KPI system which has capabilities to present business dynamic card type wise, state wise, city wise, manager wise. along with optimising resources.
RESULTS - M-reporter Analytics shared real time report of transactions. It also provided analytics of category causing losses, merchant wise losses/ revenue, card product wise revenue/ losses in MDR. M-reporter Analytics helped in tracking merchant commitment of volume basis based on which client has given special pricing/ offers to the merchant in case of any deviation to the commitment from the merchant, client can easily find out and reprise the merchant. This tool also helped in understanding portfolio at micro level and business expansion planning.
Case Study 2
OVERVIEW - Payment Aggregator/ ISO (client) wanted to build sustainable model by inculcating cross sell revenue with core business. To understand opportunity of cross sell client needs reports and analytics.
PROBLEM - Due to lock down new acquiring was challenging for the client, so the need was to understand & grab opportunities by cross sell within existing base. So client wanted a tool which can penetrate into clients own base for cross sell revenue opportunity. client was able to pull data by MCC code but if it needs further bifurcation, it was time consuming activity as it was challenging to analyse data in multiple sheets. All this was a manual activity and purely depends on data filtration.
SOLUTION - Develop a system which has capabilities to present cross sell opportunities on one single platform validating multiple dynamics and present the same.
RESULTS - M-reporter Analytics shared real time/near real time report of transactions. It also provided analytics for cross sell opportunities from existing merchant base and also suggested cross sell product based upon multiple criteria. As the entire data was available on a single platform it also helped in bringing strategic tie up in line with the existing base