Reshaping Telecommunications with AI and Dataiku

Sales & Marketing

Customers use Dataiku to tackle a myriad of use cases across sales and marketing (like marketing attribution, customer segmentation, hyper-personalized messaging, and more), but perhaps none more important or impactful than addressing churn. 

Dataiku facilitates the creation of machine-learning based churn prediction models by seamlessly combining structured data (like CRM records) with unstructured data (such as social media data). Then take it one step further to leverage the platform for uplift modeling — a more sophisticated technique aimed at determining which of the potential churners will be most likely to react to marketing and thus most logical to target with additional messaging.

Delivering Seamless Services

With Dataiku, analyze network quality data to learn which types of problems are most likely to lead to unwarranted service calls and put measures in place to prevent it. Given the number of calls, the depth of analysis required, and the type of data (largely unstructured), this necessarily dictates a machine learning or deep learning approach, which AI platforms like Dataiku can streamline. 

But don’t stop at reducing unwanted service calls — Dataiku can be leveraged for any use case (present or future), giving telecommunications organizations the chance to incorporate AI across all roles, including streamlined network log analysis by support engineers to better solve service requests, connection data analysis by field service teams to check for cross-feeder issues at a new site, or network demand monitoring.

Predictive Maintenance

Reinvent network and IT operations with Dataiku by leveraging the platform for machine learning-based predictive maintenance. Customers leveraging Dataiku for predictive maintenance are able to not only detect potential network faults earlier but also optimize for (and automate) the immediate next steps, whether this automatically triggers a work order, notifies a technician or certain team, places an order for a replacement part, etc.

Supply Chain

At Dataiku we work with telecommunications organizations to help them forecast sales of hundreds of products across tens of global or local/regional markets. Dataiku’s integrated REST API allows analysts to create robust supply chain analytics on both structured and unstructured data in the supply chain. Practically, this means supply teams can use Dataiku to better forecast lead times, estimating when a customer order might be issued and fulfilled.