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This was a project we delivered for the Customer Care department of a utility company.
The output was documentation of over 100 processes used within the organization for delivery of various customer care functions, including customer contact, billing, payments, credit and collections. This documentation set the foundation to identify and design various refinements to improve customer service and reduce inefficiencies.
As part of the project, we facilitated sessions with a wide range of people, including in-house teams and external service providers.
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This was a project we delivered for the Sales, Marketing and IT departments of one of our customer organizations.
The output was a documented set of business and technology requirements for a new CRM system.
This involved working with business users and IT staff to capture and prioritize system requirements at a level of detail that can be effectively used by the technology team for solution selection, planning and implementation.
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This was a project we delivered for the Finance and IT departments of one of our customer organizations.
The output was a set of re-designed business processes and accompanying requirements for a new system to manage the lifecycle of capital expenditures.
The requirements spanned across several interconnected business processes and required input from a wide variety of business users from almost every department within the organization.
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This was a project we delivered for the Asset Management department within a gas utility company.
The output of the project was a detailed specification of the utility's asset information model, including asset hierarchies, data requirements per asset class, data relationships, and recommendations on how the data should be organized and stored.
The project involved working with internal engineering and operations teams, and leveraging available industry models where available.
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This was a project that we delivered for the Customer Care department of our utility client.
Using data analysis and cause-effect modeling techniques, this project diagnosed the key causes that were contributing to unsettled billing account balances and bad debt. This analysis helped shine the light on real versus perceived issues, and to plug various process gaps.
The project involved extracting and manipulating large volumes of data, applying analytic algorithms, and interpreting the results of the data analysis to develop various business process recommendations that addressed the issues.