How Vertica and Unified Analytics Help Telcos Predict and Manage Churn

Presented by

Eric Rousseau, Director - EMEA, Communications Service Providers, Vertica & Badr Ouali, Data Science Lead, Vertica

About this talk

Please tune in to hear Eric Rousseau’s and Badr Ouali’s presentation as they describe how the Vertica Unified Analytics Warehouse overcomes data siloes, so Telco teams can better access critical customer data. You will learn: •How to build a churn prediction model using the VerticaPy Python library along with random forest and logistic regression algorithms, •How Communication Services Providers can leverage 5G to obtain near real-time analytics from IoT devices, •How Vertica allows access to data where it resides, without data movement or excessive ELT activity.

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The Vertica Unified Analytics Platform is built to handle the most demanding analytic use cases and is trusted by thousands of leading data-driven enterprises around the world, including Etsy, Bank of America, Uber, and more. Based on a massively scalable architecture with a broad set of analytical functions spanning event and time series, pattern matching, geospatial, and built-in machine learning capability, Vertica enables data analytics teams to easily apply these powerful functions to large and demanding analytical workloads. Vertica unites the major public clouds and on-premises data centers, as needed, and integrates data in cloud object storage and HDFS without forcing any data movement. Available as a SaaS option, or as a customer-managed system, Vertica helps teams combine growing data siloes for a more complete view of available data. Vertica features separation of compute and storage, so teams can spin up storage and compute resources as needed, then spin down afterwards to reduce costs.