- Analytics & Modeling - Machine Learning
- Platform as a Service (PaaS) - Application Development Platforms
- Equipment & Machinery
- Quality Assurance
- Sales & Marketing
- Predictive Maintenance
- Real-Time Location System (RTLS)
- Data Science Services
- Testing & Certification
In the data-driven world, marketing technology companies like Numberly are increasingly dependent on their ability to deliver valuable insights from diverse, large datasets to maintain a competitive edge. The greatest return on marketing and advertising spend is achieved by delivering precisely targeted, relevant, and timely messages. To maintain its position as a global leader, Numberly faced the challenge of including, processing, and reconciling large and diverse datasets, such as static data from CRMs and streaming sensor data. They needed to make this data accessible for data science and analytics in near real-time.
About The Customer
Numberly is an international data-marketing technology company that generates true incremental value for both consumers and its clients. They work with many different types of sectors such as retailers, banks, and insurance providers, all of which are very concerned about security. Numberly's clients directly benefit from the additional quality that Cloudera brings to its machine learning platform. Examples of their clients include a large international entertainment company, Stade de France, and a global bank/insurance company.
Numberly adopted the Cloudera machine learning platform to optimize data collection and activation strategies. This platform fuels real-time marketing analytics, ad bidding, and recommendation engines at scale, becoming a core asset for Numberly. The Cloudera tool also supports critical security and governance needs, which is crucial for Numberly as they work with sectors like retailers, banks, and insurance providers who are very concerned about data security. Cloudera Enterprise provides Numberly with intuitive, direct access to worldwide platform experts, visibility into ecosystem tooling, data governance, privacy and lineage, and access to the Cloudera Data Science Workbench. This allows Numberly to focus on innovation without worrying about integrating and supporting every detail of a complex technology stack.
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