TSSA, today, is heavily reliant on Excel and manual processes to manage the organization's budgeting, forecasting and financial analysis, and to produce consolidated financial reports. Individuals are responsible for manually compiling budgets, making budget adjustments, and constructing the consolidated financial statements from a number of trial balances.
TSSAs goal is to procure a cloud-based SaaS application for a comprehensive solution to automate budgeting, forecasting, analysis and financial reporting and related implementation services. The following components of software and services are required:
- Cloud Based SaaS – Financial Budget and Planning Software Solution (for 25 Users of the software with edit capabilities; please provide additional rate card for other User profiles options that can be acquired by TSSA (e.g. read only, non-edit or reporting only)
- Initial Implementation Services to configure the solution to TSSA’s needs including integration with TSSA’s existing CRM, Epicor and Human Capital Management (UKG Solution) solutions as well as high-level milestones and deliverables.
- Associated warranty period for fixing any defects that are encountered with the production system; please also include expected response times for fixing critical and non-critical defects
- Post go-live software subscription costs i.e. monthly or annual rate
- Post go-live support services that are covered as part of the above subscription and what will be excluded
- Provide rate card for acquiring any future services based on a time and material basis per TSSA’s needs
The ideal solution will be capable of integrating data from a variety of existing databases and software applications; into budget planning and forecasting models; automated process for consolidation, allow budget owners and management self-service access to real-time comprehensive financial information and forecasting tools; increase accuracy and reliability of financial forecasts, provide scenario planning capability to review impacts of budget inputs and assumptions; improve timeliness, transparency and quality of decision-making; reduce potential overspending and replace manual processes.
