Business Process Management
As your business grows, with it grows the processes of handling it. BPM is an effective methodology to ascertain that your processes are efficient and not just effective, resulting in a better and more cost-efficient organization.
At BizSynch, we understand that spending more time managing issues instead of focusing on core business can hamper your growth. Hence, we provide prolific expertise across various Industries analyzing business process challenges. We assist customers to refine the same by deploying solutions that can eliminate human error and process gaps while ensuring successful adaptation.
Strategies and Methodologies
Business Process Analysis
Examining the health of different operations within a business to find opportunities for improving efficiency.
Redesigning business processes to achieve improvements in critical areas like enterprise costs and process redundancies.
Meeting Use Cases and Budgets
Serving software solutions having the architectural scope ensuring that products will meet their requirements, without time or budget overruns.
Solutions on Tools or Applications
Implementing automation and optimization of internal processes, leading to increased efficiency in routine tasks.
User and Admin Training
Grounding employees with the need to leverage modern technologies to accommodate changing conditions.
Extending the right kind of Customer support offers companies a competitive advantage that’s difficult to copy.
Client Success Stories
A global commerce leader that connects millions of buyers and sellers in more than 190 markets around the world
Using Amazon AWS and Amazon Redshift as tools for the transformation. With Google Analytics, we helped the client develop a forecasting model for perishable products that promises to improve product availability for customers while cutting down write-offs.
A Travel company that offers savings on vacations, hotels, cruises, rental cars, exclusively for members
We enabled better real time and batch ingestion of data from multiple sources into the data lake and were able to transform monolithic implementation of APIs to microservices-based implementation without breaking the front-end analytics integrations.