FINOPS-X’s Financial Operations Optimization Solution provides clients with a comprehensive assessment of their existing environment as well as detailed recommendations and a detailed roadmap for driving efficiencies, enhancing controls, and establishing transparency in reporting.
Our team has deep experience optimizing financial operations environments for clients of varying sizes, complexities and industry groups. Our team provides our clients with the following deliverables:
• Lean Six Sigma Approach to Optimization
• Current & Future State Process Maps
• Financial & Operational Data Models
• Functional & Technological Heat Maps
• Application Integration Assessments
• Short-Term, Mid-Term and Long-Term Recommendations
• Development of Detailed Implementation Road Maps
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FinOps-X sees the value of reducing or eliminating routine tasks that can be completed by leveraging RPA. In its simplest form, RPA is machine learning that captures and stores repetitive tasks completed by the staff. Once completed, RPA has the ability to complete these tasks in a fraction of the time and cost. Our team has the ability to identify RPA opportunities, develop a strategic design, and implement the final solution.
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FinOps-X leverages a controlled approach to software selection & implementation services. We truly embrace the old adage of "measure twice, cut once." We develop a comprehensive list of requirements for each functional area impacted by the selection. We require each of the vendors reviewed to clearly annotate in their detailed response what is Out of the Box vs. Configurable vs. Custom Code. In addition we insist that the software vendor use client data to model their solution to ensure that it meets our clients needs.
Our experience is that a solid Project Management Office (PMO) is required to successfully implement software solutions. Our team will break down the project plan into detailed tasks, resource assignments, levels of effort, and cross functional contingencies. In addition, we leverage the detailed requirements developed during the software selection process as the basis for our user acceptance testing.
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