How do you manage big data and the technologies you use?

Hi Pushkar,

At Nokia we pay a lot of attention to data - we go through a large amount & various types of it daily. Data gives us insights into various patterns that occur as a result of our internal processes and serves as a basis for decisions that we make on improvements, mitigation actions, cost saving initiatives, productivity gains and so on.

In IT we use different practices to record, structure and analyze data. Those will depend on the purpose of the analysis, as well as the type and background of data. Generally, on a large scale we'll use our Enterprise Resource Planning (ERP) system where the data from around the world is recorded, categorized and stored in a network of databases. From there teams across all organization are able to use reports and analytics tools to access & display it, perform analyses, calculate KPIs, etc.

In some cases when the data is not sensitive and/or the dataset is not big we might even use third party tools like PowerBI or even Excel for quick calculations, trend analyses, testing hypotheses and patters. However, for such purposes the actual tool doesn't really matter - it's more the logic and overall approach to data analysis and decision making what counts.

Bell Labs is leading this effort and developing advanced AI models for deployment across Nokia. Bell Labs has also led the Data Science Big Data effort by conducting regular webinars highlighting best practices in Data Science. This aligns with the overall Nokia initiatives to become a Data-Driven Organization.