Billie
CharlottenstraAŸe 4,
Berlin, 10969,
Germany
Berlin, 10969,
Germany
49 30 31199251
Professional Services
Billie Technographics
Billie Software Purchases and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Billie and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 40 Billie employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Billie has purchased the following applications: Appcues for Digital Adoption in 2020, Google Cloud Machine Learning Engine for ML and Data Science Platforms in 2016, Snowflake Data Warehouse for Data Warehouse in 2020 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Billie is running and its propensity to invest more and deepen its relationship with Appcues , Google , Snowflake or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Billie revenues, which have grown to $4.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Billie intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
Billie Data, Technology Stack, and Enterprise Applications
HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Appcues | Legacy | Appcues | Digital Adoption | HCM | n/a | 2020 | 2020 |
In 2020 Billie implemented Appcues on its public website to deliver Digital Adoption capabilities for customer onboarding and activation. The deployment is a client-side implementation embedded in the site, using Appcues to surface in-product tours, step-by-step onboarding flows, tooltips, and contextual messaging aimed at new and returning visitors.
Configuration centered on authoring and targeting, leveraging Appcues features for visitor segmentation, event-driven flows, and built-in analytics to monitor engagement. Operational ownership sits with product and growth functions, which govern content lifecycle, rollout cadence, and iterative refinement of onboarding experiences to improve user activation on the Billie website.
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Cloud Machine Learning Engine | ML and Data Science Platforms | AI Development | n/a | 2016 | 2017 |
In 2016, Billie implemented Google Cloud Machine Learning Engine on Google Cloud Platform to scale its model training and production scoring capabilities. Billie is a Germany based fintech with roughly 40 employees, and this implementation is part of its ML and Data Science Platforms strategy to support customer targeting and acquisition workflows.
The deployment used Google Cloud Machine Learning Engine to run managed model training jobs and to serve models for production inference, with pipelines designed around feature extraction and batch scoring. Google BigQuery served as the central data repository and feature store, feeding cleaned and aggregated datasets into training and prediction pipelines managed through the machine learning platform.
Operational scope included the data science and engineering teams, with model outputs integrated into commercial workflows to identify the best clients to target. Integrations explicitly include Google BigQuery and the Google Cloud Machine Learning Engine, and the overall architecture emphasized managed GCP services to reduce infrastructure operations.
Governance centered on centralizing data access in BigQuery and standardizing training and deployment pipelines under the data team, enabling operationalization of models into sales and marketing processes. The configuration allowed Billie to scale complex infrastructure quickly and efficiently using managed services on Google Cloud Platform, and to use Google BigQuery to identify the best clients to target.
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Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Snowflake | Legacy | Snowflake Data Warehouse | Data Warehouse | Analytics and BI | n/a | 2020 | 2020 |
In 2020, Billie implemented Snowflake Data Warehouse to consolidate disparate analytics and operational feeds into a unified Data Warehouse. The Snowflake Data Warehouse deployment integrated roughly 20 external data flows, including Google Analytics and Facebook, and consolidated a single source of truth in under three months.
The implementation emphasized Snowflake-native capabilities to support data engineering and data science workloads. Billie used Snowflake Streams and Tasks to build incremental rules and alerts for proactive fraud detection, and adopted Zero-Copy Cloning and Time Travel to enable rapid environment cloning and historical data access for analytics and model development. The platform became the primary store for machine learning features and analytic data, reducing reliance on separate feature store tooling.
Operational coverage spans senior executives, BI analysts, data engineers, and data scientists, with concurrent query access and reporting across those user groups. Integrations centered on the roughly 20 external feeds, and Billie planned to expand processing inside Snowflake using Snowpipe and Snowpark, including experimentation with reverse linking to third party systems such as its CRM.
Governance and data security remained central to the rollout, delivering auditable, governed data for finance and fraud operations. Explicit outcomes reported include $3.3 million saved from prevented fraud and Snowflake playing a role in securing a $100 million investment, while stakeholders cited improved concurrency, faster query response, and a low learning curve for users.
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Collaboration | Collaboration |
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2017 | 2017 |
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Online Meeting Scheduling | Collaboration |
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2019 | 2019 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Content Management | Content Management |
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2020 | 2020 |
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Web Content Management | Content Management |
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2019 | 2019 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Account Based Marketing | CRM |
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2020 | 2020 |
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Customer Data Platform | CRM |
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2017 | 2017 |
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Customer Experience | CRM |
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2018 | 2018 |
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Customer Experience | CRM |
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2018 | 2018 |
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Customer Experience | CRM |
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2020 | 2020 |
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Customer Support | CRM |
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2018 | 2018 |
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Marketing Analytics | CRM |
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2018 | 2018 |
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Marketing Automation | CRM |
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2017 | 2017 |
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Marketing Automation | CRM |
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2021 | 2021 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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IT Service Management | ITSM |
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2019 | 2019 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Transactional Email | PaaS |
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2019 | 2019 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Hosting and Computing Services | IaaS |
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2017 | 2017 |
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Application Hosting and Computing Services | IaaS |
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2017 | 2017 |
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Application Hosting and Computing Services | IaaS |
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2019 | 2019 |
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Content Delivery Network | IaaS |
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2019 | 2019 |
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IT Decision Makers and Key Stakeholders at Billie
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Apps Being Evaluated by Billie Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||
FAQ - APPS RUN THE WORLD Billie Technographics
Billie is a Professional Services organization based in Germany,
with around 40 employees and annual revenues of $4.0 million.
Billie operates a diverse technology stack with applications such as
Appcues, Google Cloud Machine Learning Engine and Snowflake Data Warehouse,
covering areas like Digital Adoption, ML and Data Science Platforms and Data Warehouse.
Billie has invested in cloud applications and AI-driven platforms to optimize efficiency and growth,
collaborating with vendors such as Appcues, Google and Snowflake.
Billie recently adopted applications including
Salesforce Pardot in 2021, Appcues in 2020 and Snowflake Data Warehouse in 2020,
highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Billie’s key decision makers and IT executives,
available to Premium subscribers.
Our research team continuously updates Billie’s profile with verified software purchases,
vendor relationships, and digital initiatives identified from public and proprietary sources.
Subscribe to APPS RUN THE WORLD to access the complete Billie technographics profile,
including detailed breakdowns by category, vendor, and IT decision makers.