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Our clients are continually faced with the challenges of
improving core business processes to differentiate themselves,
reduce costs and streamline operations. Compliance with new
regulatory requirements, such as Sarbanes-Oxley, has also
become a driver for critically assessing business processes
and controls. Our professionals are experts in business process
analysis and engineering, which enables significant improvements
in process efficiency (e.g. reducing cost, cycle time and
time to market) and effectiveness (e.g., improving quality,
satisfaction, compliance and controls). We help identify opportunities
for improvement, design optimal business processes, and deploy
newly engineered or refined processes to achieve performance
targets. To ensure the impact of these activities is realized,
we apply performance management techniques (metrics, dashboards,
etc.) on our engagements.
The key components of our Business Process Engineering offering
are:
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Process Analysis - Analytic activities to understand
the key components of a business process and their Interdependencies. |
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Business Area Analysis - Analyzing all relevant
aspects of a business area's processes, inputs, outputs
and throughput in the context of their alignment to
functional and corporate goals / strategy. |
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Activity Analysis - Analyzing and measuring
key dimensions for each activity within a critical business
process, including resource assignment, time, cost,
and throughput. |
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Process Design - Modeling activities to show
the relationships between components and predict how
changes will impact outcomes. |
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Financial & Value Modeling - Associating quantitative
financial and performance data with activities, processes,
and process models. |
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Workflow Modeling - Documenting business processes
and activities in such a way as to show relationships,
sequence, iteration and control. Workflow modeling can
be used to depict both the current and desired future
state of the operational aspects of a work procedure,
including how tasks are structured, who performs them,
what their relative order is, how they are synchronized,
how information flows to support the tasks, how tasks
are tracked, and throughput. |
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Data Modeling - Analyzing information and identifying
its logical internal relationships. Data and information
modeling concentrates on the logical entities and the
logical relationships between these entities with particular
emphasis on the structure and format of the data/information
in order to identify a data structure that will be robust,
internally consistent, non-redundant and easily accessed,
to maximize ease of use and performance. Data and information
modeling may also include analyzing and designing the
ownership, alignment and relationships of data and information
especially as it relates to a business process and/or
application in order to identify opportunities for optimization. |
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Process Implement & Refine - Detailed design,
development and deployment activities needed to optimize
new or refined sourcing and service relationships or
business processes. |
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Sourcing & Service Optimization - Reviewing
and assessing the processes within the business and
their relationships to business services and organizational
requirements. Sourcing and service optimization is used
to identify opportunities for improved performance,
cost reduction or quality improvement through consolidation
and sharing of services by different units within an
organization, or by making adjustments to outsourcing
and third party/vendor relationships. |
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Business Process Optimization - Designing or
redesigning business processes to improve business performance
and quality through: elimination or streamlining of
process steps, bottlenecks, lags and overlaps; realignment
or reassignment of process ownership; addition or revision
of process metrics; the addition of new supporting technologies,
or elimination of outdated technologies. |
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Please contact us at info@satoriconsulting.com
to learn more about our services. |
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