Qlik Sense vs SPS Analytics

Qlik Sense is an analytics product Qlik describes as the foundation for Qlik Cloud Analytics. The cloud offering provides interactive dashboards and visualizations for exploring data, alongside automated insights, forecasting and trend detection. Qlik Answers lets users ask questions about their data and find connections. Teams can automate and share reports, and connect third-party apps; Qlik says its Connector Factory provides access to hundreds of applications and data sources. Listed capabilities include hourly refresh, row-level security, scheduled reports, embedded analytics and natural-language queries. Deployment is hybrid, with custom plans available for customers hosting on their own IT infrastructure. Qlik Cloud Analytics region options include North America, Germany, Ireland, the United Kingdom, Australia, Japan and Singapore. Qlik Sense Desktop is available for Windows 10 and Windows 11, with 4 GB minimum memory and 5 GB installation space listed. Starter costs $300 a month, billed annually for 10 users. Standard costs $825 a month, billed annually; Premium costs $2,750 a month, billed annually. Enterprise pricing is available by quote.

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.