List of Tango Predictive Analytics Customers
Dallas, 75019, TX,
United States
Since 2010, our global team of researchers has been studying Tango Predictive Analytics customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Tango Predictive Analytics for Analytics and BI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Tango Predictive Analytics for Analytics and BI include: Dunkin, a United States based Leisure and Hospitality organisation with 250000 employees and revenues of $14.10 billion, Big Lots Stores, a United States based Retail organisation with 10000 employees and revenues of $4.72 billion, Captain Ds, a United States based Leisure and Hospitality organisation with 6000 employees and revenues of $550.0 million, Wienerschnitzel, a United States based Leisure and Hospitality organisation with 2600 employees and revenues of $350.0 million and many others.
Contact us if you need a completed and verified list of companies using Tango Predictive Analytics, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Tango Predictive Analytics customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Big Lots Stores | Retail | 10000 | $4.7B | United States | Tango | Tango Predictive Analytics | Analytics and BI | 2021 | n/a |
In 2021 Big Lots Stores expanded its engagement with Tango and implemented Tango Predictive Analytics to support real estate, store development and facilities decisions. Tango Predictive Analytics is classified in the Analytics and BI category and was adopted as part of a full lifecycle rollout across the retailer's U.S. property and development functions.
The implementation extended Tango Real Estate, Projects, Lease and Maintenance modules alongside Tango Predictive Analytics to provide unified functional coverage for site selection, development planning, lease administration and maintenance execution. Configuration emphasis focused on predictive modeling and reporting workflows, aligning analytics outputs with project and lease operational modules to enable planning and execution handoffs.
Operational scope centered on United States real estate, store development and facilities teams, improving visibility across location strategy, capital projects and ongoing maintenance operations. Business functions impacted included real estate strategy, store development, project management, lease management and facilities maintenance, with analytics outputs feeding planning and execution decisioning.
Governance and rollout were delivered as an extended partnership with Tango and executed as a coordinated full lifecycle program, linking predictive analytics to project and maintenance workflows for end to end visibility. The extension helped Big Lots Stores adapt post COVID location and development strategies by surfacing predictive insights within the established Real Estate, Projects, Lease and Maintenance modules.
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Captain Ds | Leisure and Hospitality | 6000 | $550M | United States | Tango | Tango Predictive Analytics | Analytics and BI | 2020 | n/a |
In 2020, Captain Ds began working with Tango to apply Tango Predictive Analytics for site selection, market optimization and prototype sizing across its U.S. restaurant portfolio. The engagement used Analytics and BI capabilities to support real estate and franchise development decisions and to align format design with projected market demand.
The implementation deployed functional capabilities for site selection, market optimization and prototype sizing, driven by predictive forecasting models and mobility analytics. Tango Predictive Analytics ingested mobile movement data feeds and applied forecasting models to estimate trade area demand profiles and identify potential cannibalization risk, enabling demand-driven prototype sizing and market prioritization.
Operationally the project targeted Captain Ds U.S. restaurant portfolio and was adopted by real estate and franchise development teams for site prioritization and portfolio planning. Outputs included refined store formats and ranked high opportunity markets, with analysis designed to be incorporated into site approval and rollout workflows.
The stated outcomes from the engagement included improved site selection and reduced cannibalization risk, and delivery of prioritized markets and prototype recommendations to guide development decisions. The work emphasized predictive analytics and mobility data as the core information architecture for recurring market optimization and real estate decisioning.
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Dunkin | Leisure and Hospitality | 250000 | $14.1B | United States | Tango | Tango Predictive Analytics | Analytics and BI | 2014 | n/a |
In 2014 Dunkin deployed Tango Predictive Analytics to centralize forecasting and site reporting across its United States franchise network. The implementation start year is estimated from Tango case materials referencing 2014 performance metrics.
Tango Predictive Analytics was configured to run predictive forecasting models and to generate automated site reports, consolidating site level metrics into a centralized reporting layer. As an Analytics and BI application it supported scheduled model execution and rapid report generation, which reduced forecast runtimes from an hour to seconds.
The deployment covered franchise operations and site reporting workflows, enabling franchise development teams to evaluate relocations and openings with standardized forecasts. Case materials highlight faster site reports, streamlined franchise development, and concrete lift from relocations as operational outcomes tied to the system.
Reporting governance was centralized to standardize forecasting inputs and reporting cadence across the network, aligning site reporting, development, and operational planning processes. According to Tango, the implementation produced thousands of hours in annual time savings by accelerating forecast runtimes and report production, and delivered faster site reports for franchise stakeholders.
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Leisure and Hospitality | 2600 | $350M | United States | Tango | Tango Predictive Analytics | Analytics and BI | 2022 | n/a |
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Buyer Intent: Companies Evaluating Tango Predictive Analytics
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