IBM Cognos Analytics vs SPS Analytics

IBM Cognos Analytics is a paid business-intelligence platform for reporting, business analytics and AI-assisted insights. It supports hybrid deployment, real-time refresh, scheduled reports and natural-language queries across Android, iOS, Linux, Windows, web, API and self-hosted environments. Users can build multipage reports and share them as HTML, CSV, PDF or Excel files. Interactive dashboards provide visualizations, drill-downs and email or Slack sharing. Time-series modeling supports trend prediction, while the AI Assistant answers natural-language questions about selected data sources and can create dynamic dashboards. Standard costs $10.60 a month per authorized user and includes dashboards, data modules, mobile access, basic administration and AI capabilities, but users receive reports only. Premium costs $42.40 a month per authorized user and adds report creation, execution and scheduling, data explorations, custom visualizations, advanced administration and reporting agents. A free 30-day On-Demand trial supports up to five users.

SPS Analytics is a cloud, web-based Decision Intelligence platform from SPS Analytics in Minneapolis, Minnesota. It connects retail sales, inventory, and item-performance data for supplier decisions. SKU- and location-level sales across retailers and channels are linked with sell-through and inventory information to support forecasting, replenishment, and allocation. Users can monitor days of supply, distribution gaps, and performance changes while working to rebalance inventory, reduce excess stock, prevent stockouts, and avoid markdowns. SPS retrieves, validates, and standardizes data from trading partners, then matches enriched performance data to a supplier’s catalog. Results can appear in dashboards, scheduled reports, files, or cloud integrations with business-intelligence and planning systems. Customers using Snowflake or Databricks can receive validated retail data in those environments. Refreshes are daily where retailers provide daily data and weekly for many others; store-level and margin visibility depend on available data. Implementation varies by data sources and scope, with structured onboarding. Pricing is on request.