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Re-engineering is the fundamental rethinking and radical redesign of business processes to achieve dramatic improvements in organizational performance.

Business Process Re-engineering combines aspects of re-engineering and business process outsourcing, and rationalizes them to return value in a short span of time. This, of course, maximizes long-term prospects for your business. Maasys Infotech provides Business Process Reengineering solutions that assist you to fundamentally rethink and redesign how your organization will meet its strategic objectives. We emphasize on innovation, flexibility, quality service delivery, and cost control by re-engineering business methods and supporting processes using state-of-the-art Business Process Re-engineering tools and methodologies

At Maasys Infotech we understand the criticality of legacy applications and the significant investment that has been made in them. Our approach to Application Re-engineering comes from having the capacity to understand the business requirements that shape your technical architecture. Our aim is to assist customers in leveraging both the data and business processes that exist in such systems and transform them to meet new functionality.

The main drivers of Application Re-engineering as we see are:

New services or business opportunities
Business Process Reengineering
Gaining and maintaining competitive edge
Aligning inflexible, monolithic legacy systems with contemporary business needs
Difficulty in maintaining old systems on account of lack of vendor support
Improvement of Systems throughput

Our re-engineering methodology ensures smooth transition involving data migration, system testing using tool-based reverse engineering and forward engineering.

We re-vision your application taking into consideration the following:

The-business problems with the present mode of operation.
Business goals.
The processes that will be served by the re-engineered applications
Stakeholders who will benefit from the effort.
“End-user" profiles that show the characteristics of the various user communities.

E.g. decision support versus operational support users, novices versus "power users"

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