Datarails
Transform Excel into a high-performance AI financial planning and analysis engine.
AI-infused extended planning and analysis (xP&A) to break down silos and automate enterprise forecasting.
IBM Planning Analytics, powered by the legendary TM1 engine, represents the pinnacle of multi-dimensional modeling for the 2026 enterprise landscape. It transcends traditional FP&A by integrating Watson AI and watsonx capabilities, allowing organizations to perform 'Extended Planning and Analysis' (xP&A) across finance, HR, sales, and supply chain within a single source of truth. Its technical architecture relies on an in-memory OLAP database that provides sub-second calculation speeds even with massive, sparse datasets. In 2026, the platform distinguishes itself through generative AI-driven narrative reporting and automated anomaly detection in forecasting. Users can interact with data through the web-based Planning Analytics Workspace (PAW) or the deeply integrated Planning Analytics for Excel (PAx), maintaining the familiarity of spreadsheets while enforcing centralized governance. The tool's ability to handle 'what-if' scenarios at scale—simulating thousands of variables simultaneously—makes it an essential component for resilient organizations navigating volatile global markets. It supports hybrid cloud deployments, ensuring data sovereignty while leveraging the elasticity of IBM Cloud or AWS.
A cell-oriented database that stores data in RAM, allowing for real-time recalculation of complex hierarchies without disk I/O bottlenecks.
Transform Excel into a high-performance AI financial planning and analysis engine.
The industry-standard for complex, multi-dimensional financial modeling and enterprise performance management.
Eliminate spreadsheet errors with automated financial modeling and real-time runway tracking.
Advanced 3-statement financial forecasting and budgeting for data-driven strategic decisions.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Built-in statistical algorithms that automatically select the best model (Exponential Smoothing, ARIMA, etc.) for time-series data.
State-driven workflow management that tracks submission status, approvals, and deadlines across departments.
Uses LLMs to analyze plan variances and automatically generate written explanations for executive reports.
Allows for virtual hierarchies based on element attributes without restructuring the underlying cube.
A WAN-optimized Excel add-in that allows users to interact with the OLAP engine directly within a spreadsheet.
Configurable paths that allow users to click on a summary cell and view the underlying transactional data from an ERP.
Eliminating manual data entry and currency conversion errors across 50+ international subsidiaries.
Registry Updated:2/7/2026
Generate consolidated financial statements.
Mismatch between sales forecasts and manufacturing capacity leading to stockouts.
Inability to accurately model the impact of merit increases and benefit changes across 10,000 employees.