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Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

List of SPS Analytics Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Kate Spade New York Retail 5000 $1.3B United States SPS Commerce SPS Analytics Analytics and BI 2003 n/a
In 2003, Kate Spade New York implemented SPS Analytics. The SPS Analytics deployment provided Analytics and BI capabilities to analyze cross channel sales and inventory across retail stores and e commerce in the United States and internationally. Implementation focused on sell through reporting, inventory visibility, and assortment analytics to accelerate merchandising and assortment decisions. Configurations included cadence based reporting and seasonal planning dashboards to surface timely sell through and inventory insight for planners and merchants. Data flows consolidated store point of sale records, e commerce order and inventory feeds, and centralized inventory snapshots to create a single cross channel view for planning and replenishment. The solution supported operational coverage across merchandising, inventory planning, and commercial strategy teams. SPS records the customer relationship with Kate Spade New York dating to 2003, reflecting a long standing analytics engagement. The SPS Analytics implementation provided the timely sell through and inventory insight described in vendor materials to speed strategic decisions and season planning across US and international operations.
Leatherman Tool Group Manufacturing 600 $130M United States SPS Commerce SPS Analytics Analytics and BI 2015 n/a
Leatherman Tool Group implemented SPS Analytics in 2015 to provide retailer level sell through and point of sale visibility for its sales organization. SPS Analytics is an Analytics and BI application that Leatherman used to secure retailer POS data, normalize transactional and inventory measures, and surface operational dashboards for commercial teams. The implementation emphasized data ingestion and normalization pipelines operated by SPS Commerce, with dashboards deployed for sell through reporting, retailer performance analysis, identification of low inventory, and support for distribution expansion proposals. Functional modules included data normalization, dashboarding and reporting, and distribution opportunity analysis aligned to sales and inventory planning workflows. Operational coverage focused on North America and the sales function, enabling account managers and buyer relationship teams to see retailer level point of sale trends and inventory status. Integrations were confined to secured retailer POS data feeds that SPS Commerce normalized and ingested, then delivered through SPS Analytics to Leatherman users. Governance centered on centralized analytics delivery from SPS Commerce and adoption by sales teams to substantiate proposals to expand distribution and manage retailer inventory. Leatherman has been an SPS Analytics customer since 2015, using SPS Analytics to improve buyer relationships and manage inventory across retail partners.
SABRE Security Equipment Corporation Manufacturing 150 $20M United States SPS Commerce SPS Analytics Analytics and BI 2022 n/a
In 2022 SABRE Security Equipment Corporation implemented SPS Analytics as a core Analytics and BI capability to centralize point of sale data for operational reporting. SPS Analytics was integrated into SABRE's Azure data estate to provide a feed for enterprise reporting and dataset creation, supporting Sales and Finance workflows across the business. The implementation architecture ingested SPS Analytics point of sale data via SFTP into Azure Blob Storage, then processed files through Azure Data Factory pipelines into Azure SQL Database. That Azure-based pipeline was executed alongside other Azure integrations including an Azure Data Factory and custom D365 Business Central API solution used to update D365 BC Sales Orders with shipment and invoice information from a third party logistics vendor. Functionally the SPS Analytics deployment focused on POS data capture and staging for downstream Analytics and BI consumption, feeding Power BI production datasets. Power BI Platform work established dataset and report page navigation standards, and over 25 Power BI production datasets were designed to support reporting across Sales, Production, Shipping, Customer Service, S and OP, Procurement and Financials, replacing prior reporting processes and consolidating reports into more than 100 reports and hundreds of pages. Operational scope included the IS organization and cross functional business users in Sales, Production, Shipping and Finance, with governance driven by in house solution architecture and systems leadership. Training and mentorship were part of rollout, with staff coached on Power BI report building, DAX measures, API integration development using Postman, and Azure technologies including Azure Data Factory, Azure Key Vault and Azure SQL Database. The deployment was managed as part of broader ERP and integration initiatives, including development of more than 70 D365 Business Central AL objects to support Power BI reporting and integrations. Vendor and operational changes achieved explicit cost outcomes in related IT management, including a 48 percent reduction in managed service provider costs through internal resourcing and vendor management improvements.
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FAQ - APPS RUN THE WORLD SPS Analytics Coverage

SPS Analytics is a Analytics and BI solution from SPS Commerce.

Companies worldwide use SPS Analytics, from small firms to large enterprises across 21+ industries.

Organizations such as Kate Spade New York, Leatherman Tool Group and SABRE Security Equipment Corporation are recorded users of SPS Analytics for Analytics and BI.

Companies using SPS Analytics are most concentrated in Retail and Manufacturing, with adoption spanning over 21 industries.

Companies using SPS Analytics are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of SPS Analytics across Americas, EMEA, and APAC.

Companies using SPS Analytics range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 66.67%, large organizations with 1,001-10,000 employees - 33.33%, and global enterprises with 10,000+ employees - 0%.

Customers of SPS Analytics include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified SPS Analytics customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Analytics and BI.