Product LogoIBM Planning Analytics as a Service

IBM Planning Analytics is an AI-infused Integrated Modern Business Planning Solution.

Planning Analytics' in-memory database (TM1) helps you analyze profitability and fine-grain what-if scenarios. Use powerful, yet friendly web and Excel interfaces. Ease adoption with our gen AI assistant. Automate routine tasks, uncover insights and empower all users so they can contribute to planning and decision-making. Deploy on-premises or on cloud, including on AWS and now on Azure.

Product highlights

Flexible integrated planning

Customizable, easy to deploy, and scalable for your needs with IBM

Ease of use for quick adoption

Ensure easy adoption with friendly user interfaces and a generative AI assistant.

Accurate AI forecasting

Boost forecast speed and precision with built-in AI. Run unlimited what-if scenarios.

Transparent pricing

Bring enterprise-level capabilities to your organization at an affordable price.

Finance teams and CFOs

Use it for budgeting, forecasting and real-time analysis, and achieve consensus between income statements, balance sheets and cash flow.

Supply chain and operations managers

Use it for demand planning, inventory optimization, and distribution analysis. Get unlimited "what-if" scenario analyses and turn disruptions into opportunities.

Sustainability-focused teams

Use it for sustainability planning, simulation and optimization at any granularity level—even calculate the Product Carbon Footprint (PCF).

Sales and territory managers

Use it to track and analyze sales rep performance and sales capacity data in real-time. Automate resource allocation and territory planning, and increase market share.

HR and talent managers

Use it to automate and streamline HR management processes—including employment, salary, bonuses, headcounts, and benefits planning—all on one platform.

IT managers and CIOs

Use it to drive alignment between the IT department and other organizational goals with real-time visibility into resource allocation, spending, life cycles, owners and asset utilization data.

Categories

Analytics
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