Custom Financial Modeling Software: Features, Integrations, Success Factors, Benefits
ScienceSoft combines 16 years of experience in financial software development with 34 years in AI and 18 years in BI to help businesses implement robust financial modeling solutions powered with cutting-edge data analytics techs.
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Financial Modeling Software: The Essence
Financial modeling software enables multi-dimensional modeling, automates model updating with new financial data, and helps facilitate collaboration between internal teams and strategic partners on financial modeling processes. Custom financial modeling software is used to create and manage unique financial models, automate specific calculations, simulate, analyze and forecast financial scenarios of any complexity.
When powered with advanced big data analytics and data visualization techs, such solutions enable businesses to embrace a highly efficient approach to the aggregation, analysis, and interpretation of financial data. They help drive the extraordinary level of accuracy across operational, investment, and financing decisions and ensure informed, data-driven planning of strategic corporate transactions, such as mergers and acquisitions.
Integrations
ERP, CRM, an accounting system, treasury software, and more.
Implementation time
6–10 months for a custom financial modeling solution.
Implementation costs
$200,000–$400,000, depending on the solution complexity.
Key Features of Financial Modeling Software
At ScienceSoft, we design functionality of financial modeling solutions for our customers based on their unique business needs. Here, we share a sample feature set that forms the core of the described software.
Essential Integrations for Financial Modeling Software
To streamline and speed up financial data aggregation from relevant sources, ScienceSoft recommends integrating the financial modeling solution with the following systems:
- ERP – to build budgeting and forecasting models for various types of expenses; for data-driven operational and strategic planning.
- Accounting software – for accurate modeling of company’s financial performance.
- CRM – for accurate sales revenue modeling.
- Treasury software – to model and forecast financial results of various investment and financing projects; for data-driven planning of investment, financing, risk management activities.
- Financial data marketplace – to model investment, financing, hedging strategies based on relevant financial market data.
How to Achieve High ROI for Financial Modeling Software
To maximize value and cost-efficiency of the financial modeling solution, ScienceSoft always seeks to cover the following important factors:
High-quality input data
To ensure financial model reliability and financial forecasting accuracy.
User-friendly financial model visualization
To provide intuitive and well-structured representation of financial data for facilitated financial risk and opportunity identification.
AI-enabled financial performance forecasting
To accurately model predictions on a business’s financial performance and financial results of strategic investment and financing activities.
On-the-fly scenario modeling
To enable real-time what-if analysis and visualization even of complicated financial scenarios for facilitated collaborative scenario testing, e.g., during meetings or presentations.
Data-level user permissions
To limit access to particular financial models or model parts containing sensitive financial data.
ScienceSoft’s Head of Data Analytics Department Alex Bekker shares his expertise
"Financial modeling software development may require creation and training of complex machine learning models for financial analysis and forecasting. I recommend involving professional data scientists to design the finance models and tune them at the model training stage. It helps employ proper models for various types of business transactions and accurately identify main factors affecting the company’s financial performance."
Financial Modeling Software Development: Key Steps
Financial modeling software development involves a range of important processes aimed to ensure risk-free project implementation, top-flight solution quality and its seamless operation in the long run. Below, ScienceSoft lists the main steps of the financial modeling software implementation flow.
1
Business needs analysis and eliciting requirements for the financial modeling solution.
2
Designing the functionality, architecture, UX and UI for the solution.
3
Tech stack selection.
4
Project planning: scope, deliverables, team composition, timelines, budget, etc.
5
Financial modeling software development.
6
(for ML-powered solutions) Financial model design, training, and tuning.
7
Quality assurance.
8
Integration with the required corporate systems and third-party financial data sources.
9
User training.
10
Continuous support and evolution of the financial modeling solution (optional).
Financial Modeling Software Development Costs and Financial Outcomes
The costs of building the financial modeling system vary greatly depending on:
- The number and complexity of a solution’s functional modules, including the number of AI-enabled features.
- The volume of data to be migrated from spreadsheets and/or existing financial modeling software.
- The number and complexity of integrations.
Custom financial modeling software of average complexity requires $200,000–$400,000 in investments.
Don’t miss out on the amazing benefits you can get with financial modeling software:
Off-the-Shelf Financial Modeling Software ScienceSoft Recommends
IBM Cognos Analytics
Best for: advanced financial model analysis and visualization
Description
Key strengths:
- Financial modeling dashboards with customizable charts, graphs, tables, scorecards, interactive maps, and more.
- AI-powered financial performance forecasting.
- Intelligent recommendations on relevant financial data and parameters to include in a financial model.
Cautions: Substantial product costs for large teams. An additional license is required for app administration, security, user onboarding.
Features
- Scenario modeling and what-if analysis.
- Time series financial modeling.
- Real-time monitoring of financial model variance.
- Built-in chart templates, including comparison charts, trend charts, correlations charts, map charts, and more.
- Scheduled/ad-hoc generation and sending of personalized financial reports.
- A native mobile app to access financial models on the go.
Pricing
- On Demand plan: $10 user/month for a standard pack, $40 user/month for a premium pack.
- On Cloud Hosted plan: $80 user/month, $40 user/month for viewing only, $5 user/month for mobile access only.
- Client Hosted plan: $450 user/month for an administration license, $40 user/month for a standard pack, $75 user/month for an advanced pack, $12 user/month for viewing only, $5 user/month for mobile access only.
- A free 30-day trial.
Quantrix
Best for: collaborative financial modeling
Description
Key strengths:
- Real-time multi-user viewing and editing of financial models.
- Configurable user roles and data-level permissions.
- Automated model version control.
- A built-in instant messaging tool.
Features
- Multi-dimensional financial calculations.
- Automated model adjustment based on real-time financial data.
- AI-powered forecasting based on the analysis of historical and current financial data.
- Time-framed financial modeling.
- Scenario modeling and what-if analysis.
- Comprehensive audit trail to track the finance model changes.
- Interactive dashboards with customizable tables, widgets, branding fields, and more.
Pricing
Upon request to the vendor.
Visyond
Best for: scenario modeling and risk analysis
Description
Key strengths:
- Monte Carlo simulations and risk analysis.
- On-the-fly scenario modeling and comparison during meetings or presentations.
- Self-service financial model stress testing and what-if analysis without model changing for authorized stakeholders.
Cautions: Limitations on the number of users, financial models, what-if scenarios per financial model based on the subscription plan.
Features
- Multi-dimensional financial model sensitivity analysis.
- Automated calculation of user-defined financial and business ratios.
- Creating custom natural language formulas.
- Real-time financial model scanning for errors, root cause analysis.
- Collaborative financial modeling.
- Configurable model access permissions at the worksheet, report and dashboard level.
Pricing
- Basic plan: Free.
- Dashboards plan: $9 – 18 user/month.
- Dashboards + Auto-analysis plan: $47 – 97 user/month.
- A free 7-day trial.
When to Opt for Custom Financial Modeling Software
Custom financial modeling software is aimed to introduce specific capabilities that off-the-shelf solutions cannot provide to digitally transform complex and unique model management, analytics, and forecasting workflows.
ScienceSoft recommends choosing custom development in the following cases:
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You need to build complex, non-standard financial models, e.g., for multi-entity financial performance modeling or forecasting financial outcomes of large-scale financing and investment projects in the long run. |
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You want to avoid costly, effort-consuming integration of financial model software with your legacy systems (ERP, CRM, accounting software, etc.). |
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You have large teams involved in financial modeling and want to avoid a considerable subscription amount for platform-based financial modeling software, which scales with the number of users. |
Implementation of Financial Modeling Software with ScienceSoft
In corporate finance software development since 2007, ScienceSoft helps companies build effective financial modeling software.
Financial modeling software consulting
- Analysis of your financial modeling needs.
- Assessment of the existing financial modeling processes, tools and their integration points (if any).
- Suggesting optimal features, architecture, tech stack for financial modeling software.
- Preparing an integration plan (with ERP, CRM, accounting software, treasury software, etc.).
- Implementation cost & time estimates, expected ROI calculation.
Financial modeling software implementation
- Financial modeling needs analysis.
- Financial modeling solution conceptualization.
- Architecture design for a financial modeling solution.
- Financial modeling software development.
- Integrating the solution with the relevant systems.
- Quality assurance.
- User training.
- Continuous support and evolution (if required).
About ScienceSoft
ScienceSoft is a global IT consulting and software development company headquartered in McKinney, Texas. We provide consultancy and development services to help businesses build effective financial modeling software. Being ISO 9001 and ISO 27001 certified, we apply a mature quality management system and guarantee that cooperation with us does not pose any risks to our customers’ data security. If you are interested in getting a reliable financial modeling solution, feel free to turn to ScienceSoft’s team.