List of Deep.BI Customers
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Since 2010, our global team of researchers has been studying Deep.BI 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 Deep.BI for Analytics and BI, Data Warehouse 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 Deep.BI for Analytics and BI, Data Warehouse include: Rieber Foods Polska, a Poland based Consumer Packaged Goods organisation with 918 employees and revenues of $240.0 million, Rappler, a Philippines based Media organisation with 200 employees and revenues of $20.0 million, Titania Compania Editorial, a Spain based Media organisation with 40 employees and revenues of $4.0 million, Inc42, a India based Media organisation with 95 employees and revenues of $3.0 million, Deep BI, a United States based Professional Services organisation with 20 employees and revenues of $2.0 million and many others.
Contact us if you need a completed and verified list of companies using Deep.BI, 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 Deep.BI 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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Deep BI | Professional Services | 20 | $2M | United States | Deep.BI | Deep.BI | Analytics and BI,Data Warehouse | 2016 | n/a |
In 2016, Deep BI implemented Deep.BI, deploying an Analytics and BI,Data Warehouse solution embedded on its public website. The Deep.BI application is used to deliver web-embedded analytics and reporting, combining dashboarding and data warehousing capabilities aligned with Analytics and BI,Data Warehouse functional patterns, and the deployment is managed internally by the company.
Core capabilities configured in Deep.BI include visualization and dashboard modules, scheduled data ingestion and transformation workflows consistent with data warehouse operations, and site-facing reporting for visitors and clients. Operational scope is concentrated on website analytics and client engagement reporting, affecting marketing and client services functions, while governance and content publishing remain centralized and lightweight during the rollout.
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Inc42 | Media | 95 | $3M | India | Deep.BI | Deep.BI | Analytics and BI,Data Warehouse | 2020 | n/a |
In 2020, Inc42 implemented Deep.BI. Deep.BI is deployed on their website as an Analytics and BI,Data Warehouse solution to surface content and audience metrics and to provide embedded dashboards and self-serve reporting within the digital property.
The implementation centers on web-facing data capture and a hosted analytics stack, with a data warehouse layer supporting historical content performance and audience segmentation. Functional modules in place include event and content ingestion pipelines, data modeling and transformation, interactive dashboards for editors and commercial teams, and scheduled reporting for audience development workflows. Governance emphasis is on a standardized event taxonomy, role based access controls and curated data models to support editorial analytics and marketing measurement, with usage concentrated in editorial and audience growth functions.
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Rappler | Media | 200 | $20M | Philippines | Deep.BI | Deep.BI | Analytics and BI,Data Warehouse | 2019 | n/a |
In 2019, Rappler implemented Deep.BI on its website. Deep.BI delivers Analytics and BI,Data Warehouse capabilities to capture audience behavior and content performance for the Philippines based media publisher, aligning the application with content analytics and audience measurement business functions.
The deployment focused on web instrumentation and centralized event collection, with Deep.BI ingesting site event streams into a structured data model to support reporting, dashboarding, and ad hoc analysis. Configuration and operational scope emphasized tagging standards, sessionization, and ETL pipelines to produce reusable datasets consumed by editorial, product, and commercial teams, and governance centered on data access controls and analytics workflow ownership.
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Rieber Foods Polska | Consumer Packaged Goods | 918 | $240M | Poland | Deep.BI | Deep.BI | Analytics and BI,Data Warehouse | 2017 | n/a |
In 2017 Rieber Foods Polska deployed Deep.BI. Deep.BI is implemented as a website-facing solution and is cataloged under Analytics and BI,Data Warehouse to support digital analytics and structured reporting on web engagement.
The implementation centered on embedding Deep.BI analytics instrumentation on the corporate website to capture event-level and session-level data, and on provisioning role-based dashboards and scheduled reports for internal stakeholders. Configuration work emphasized tagging, event schema design, dashboard development, and data consolidation workflows consistent with Analytics and BI,Data Warehouse capabilities.
Operational coverage focused on web analytics and downstream reporting workflows for marketing and e-commerce related functions, with extracted site telemetry routed into Deep.BI reporting layers and a consolidated analytics store. The deployment was used to surface customer engagement metrics and to populate internal analytics views that feed routine decision processes across digital and commercial teams.
Governance and rollout followed a staged approach on the website, with centralized ownership by the analytics function and formalized reporting handoffs to business users. Rollout activities included dashboard access provisioning, scheduled report publication, and the establishment of analytics consumption workflows to embed Deep.BI outputs into regular business operations.
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Titania Compania Editorial | Media | 40 | $4M | Spain | Deep.BI | Deep.BI | Analytics and BI,Data Warehouse | 2020 | n/a |
In 2020 Titania Compania Editorial implemented Deep.BI on its public website, deploying analytics functionality consistent with the Analytics and BI,Data Warehouse category. Titania Compania Editorial used Deep.BI to centralize audience and content analytics for its Spanish news site.
Deep.BI was configured to capture event level web signals from article pages, to populate a consolidated reporting layer, and to provide dashboarding and scheduled reports for editorial and commercial teams. The implementation included data modeling and audience segmentation capabilities typical of Analytics and BI,Data Warehouse deployments, oriented to content performance and ad inventory analytics.
Integrations focused on website instrumentation and operational handoff into publishing workflows, with data flows ingested into Deep.BI to support editorial, audience development, advertising sales, and subscription functions across Spain. Dashboards and reports were surfaced through embedded views and scheduled distribution to stakeholders.
Governance was handled by a small central analytics team that enforced tagging standards, data quality checks, and role based access to Deep.BI reports, rollout proceeded iteratively across site sections to stabilize instrumentation. Deep.BI serves as the primary analytics and reporting layer for Titania Compania Editorial, aligning the application with editorial decision making and commercial operations.
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