List of SQream Panoply Platform Customers
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Since 2010, our global team of researchers has been studying SQream Panoply Platform 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 SQream Panoply Platform for Data Management Platform 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 SQream Panoply Platform for Data Management Platform include: GreenThumb, a United Kingdom based Professional Services organisation with 250 employees and revenues of $20.0 million, Innplay Labs Israel, a Israel based Media organisation with 35 employees and revenues of $17.0 million, Saucey, a United States based Retail organisation with 90 employees and revenues of $8.0 million and many others.
Contact us if you need a completed and verified list of companies using SQream Panoply Platform, 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 SQream Panoply Platform 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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GreenThumb | Professional Services | 250 | $20M | United Kingdom | SQream | SQream Panoply Platform | Data Management Platform | 2023 | n/a |
In 2023, GreenThumb consolidated Salesforce, CRM exports and API data into the SQream Panoply Platform to support CRM, operations and forecasting analytics across the United Kingdom. GreenThumb implemented SQream Panoply Platform as a Data Management Platform to centralize analytical workloads for CRM and operations teams.
The deployment used Panoply Snap Connectors and the Panoply managed data warehouse to ingest Salesforce and API based sources, establishing extract, load and transformation pipelines to normalize CRM and operational records. The managed data warehouse hosted reporting datasets optimized for downstream BI consumption and delivered prepared data to Power BI for analytics and forecasting use cases.
Integrations explicitly consolidated Salesforce and API feeds while ingesting CRM export files into a unified data model, enabling faster BI query execution across CRM, operations and forecasting functions. Governance emphasized centralized ingestion pipelines, shared schema definitions and role based access for CRM, operations and finance stakeholders. The implementation reduced Power BI object load times that previously could take up to five hours, improving report availability for UK operations.
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Innplay Labs Israel | Media | 35 | $17M | Israel | SQream | SQream Panoply Platform | Data Management Platform | 2023 | n/a |
In 2023 Innplay Labs Israel implemented SQream Panoply Platform, using the SQream Panoply Platform as a Data Management Platform to centralize in-app event and player data for product and marketing analytics across the business in Israel. The deployment focused on a centralized data store to support analytics workflows and to provide a single source of truth for product and marketing teams.
Configuration centered on Panoply's managed data warehouse and the Tableau connector, with Panoply ingesting app event streams and player telemetry to populate event tables and analytical schemas. The implementation used standard data management patterns for ingestion, schema mapping, and dashboard-ready datasets, with the SQream Panoply Platform delivering the managed warehouse and connector capabilities that power downstream visualization.
Integrations implemented are explicitly app event stream ingestion and the Tableau connector to provision data for analytics, enabling two data analysts to operate the environment and maintain the BI layer. Operational coverage is focused on product analytics and marketing analytics in Israel, with data flows designed to support 30 Tableau dashboards used across those functions.
Governance and operational model assign ownership to the analytics team, with two data analysts maintaining dashboards and data pipelines and delivering faster actionable insights as described. The implementation narrative centers on supplying consistent event and player data to Tableau via the SQream Panoply Platform to support ongoing product and marketing decision making.
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Saucey | Retail | 90 | $8M | United States | SQream | SQream Panoply Platform | Data Management Platform | 2022 | n/a |
In 2022, Saucey implemented SQream Panoply Platform to centralize MongoDB, Stripe, Twilio, Typeform and Google Sheets for operations, finance and marketing analytics in the United States. The deployment established a central Data Management Platform to consolidate event, transactional and form data to support business intelligence and operational reporting.
SQream Panoply Platform's ELT connectors and managed data warehouse were used to bring these disparate sources together, standardize schemas and stage data for downstream consumption. The configuration focused on extract load and transform pipelines, managed storage and query optimization to power the company's BI and operational dashboards and to enable self service reporting capabilities for business users.
Integrations explicitly include MongoDB, Stripe, Twilio, Typeform and Google Sheets, with operational coverage across operations, finance and marketing teams in the United States. The implementation produced automated daily and weekly reports and established a data backbone for BI, operational dashboards and self service analytics workflows.
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