Blog

"Dirty Data" - No Longer A Dirty Secret

Published on 15/08/2019

Operators need access to usable data to successfully adopt and drive value from new activities such as advanced analytics, AI and automation. Mobile Europe recently released an interesting article discussing how siloed, inconsistent, or otherwise "dirty" data can be a huge barrier to digital transformation. In fact, a recent TM Forum report noted that 57% of the respondents they contacted cited this "dirty data" as the biggest obstacle to leveraging AI in their operations.

So what can be done?

In the vast majority of network intelligence projects we've delivered for our customers, the lack of a centralised source of information is often a key drive behind the project. As noted in the article, there's not only the technical challenge of aggregating, filtering and using disparate data sets, but also the problem of people needing to know who to go to in order to get the information they need. This can have massive implications for operational efficiency, as each inter-departmental requests for information takes significant time to fulfil, preventing people from using real-time data whilst it’s relevant.

While this has always been a problem, the need for a clean, centralised source of data is set to become more pressing as initiatives involving 5G, automation and virtualisation become increasingly crucial to service delivery. As an example, 60% of Vodafone's European interactions with customers are now supported by AI, with predictive care being pushed to affected subscribers via their mobile app. This is within a similar context to what we have provided to our network operator customers, where live network status checkers deliver fast, localised information, simultaneously reducing the operational strain on their contact centre resources.  

Our solution leverages a flexible, cloud-based platform for integration which allows operators to automatically ingest, process and standardise a wide range of data sources into a single pool. AI can then be used to help within use cases such as the identification of common RAN issues, automated updates to customers, and the prediction of emerging network faults from end-user reported data. This is helping to drive fast improvements for operations and customer experience, as well as centralising and processing an increasing variety and volume of data sets for greater information governance and access.  Would you like to learn more? Visit our new Network Operators page and book a demo today!

Would you like to learn more? Visit our new Network Operators page and book a demo today!