Introduced teams with team leaders for each sector to take over the process on AS-IS basis.
Mynd Solutions achieved the target of stabilization of the processes within 6 months from the date of commencement and has consolidated the process at one location through continuous improvement model
and using automation techniques
Mynd handled various audits, merger of divisions, scaling up and down of teams as per requirement from time to time, process improvement, control of the processes during client attrition, value addition,
knowledge retention, cross-training of the teams, on-site/off-site compositions etc.
New Business division- Mobile Devices: Mynd set up their processes from scratch
On-going Steady State Services now, hence client managers are free from day to day management of process with the help of team leaders.
Mynd has climbed up the ladder in value chain –moved higher from transaction processing to analytical activities over a period of time leveraging upon its trained manpower on the processes.In the 2nd
stage we have picked up the following reports related with management reporting, budgeting :-
FORECAST/OUTLOOK WORKINGS: It is presentation of Sales, Margin and AR - projected vs actual figures.
MANAGEMENT BUDGET REPORTING (MBR) VARIANCE ANALYSIS REPORT: It is a report about Direct and Indirect Labour expenses, comparing actual with budgeted.
OCA & ML (FORECAST) REPORT: To show forecasted figures for the month for A/cs included in the category of other current Assets and miscellaneous liabilities.
GM ANALYSIS: This is gross margin projected vs actual report
Increased control and Reduced Cost- Mynd set up a model of process wise accounting which helped in 100% centralization of accounting functions at Back Office. Hence, no accounts related manpower at Restaurant
Mynd Solution achieved the target of stabilization of the processes within 6 months from the date of commencement through continuous improvement model and using automation techniques.
Since then Mynd Solutions has been able to demonstrate increase in scale every month without much increase in team size and increased knowledge leverage for automation of processes.