How Openreach uses data to improve operational efficiency

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Openreach connects virtually all UK business and homes through its access network. This access network is made up of around 29 million lines linked to 6,000 exchanges and has been in continuous use for decades.

The access network is maintained by thousands of Openreach field engineers working throughout the UK every day and automated test equipment routinely tests access network lines generating millions of test results daily. These test results are used to make decisions about assigning engineers to faults and guiding them where to go. If the test result data is not accurate engineer time can be wasted.

With the help of Cloudera and Datameer, Openreach was able to improve the quality of test result data by joining test results with inventory to present the tests in context. This revealed where test equipment was misconfigured or failing, allowing the business to focus on fixing the root cause issues. The result is a programme of proactive maintenance that has reduced wasted field engineer time and improved repair performance.

Hear from Phill Radley and Tim Midwinter as they discuss:

  • How Cloudera and Datameer provided the ideal end-to-end big data analytics platform
  • How data is given context to identify test network issues for the benefit of operational effectiveness and customer experience
  • Where Cloudera and Datameer will be used next
  • What are the key points for any organisation wanting to gain insight from their data

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Openreach connects virtually all UK business and homes through its access network. This access network is made up of around 29 million lines linked to 6,000 exchanges and has been in continuous use for decades.







Featured speakers

Wim Stoop

Senior Product Marketing - Cloudera

Cloudera

Wim Stoop is the senior product marketing manager for Cloudera. In this role, he leads the marketing direction and strategic vision for Cloudera?s mission to let organisations turn data into business value at scale. Prior to Cloudera, Wim spent more than 17 years helping blue-chip companies such as IBM, BP, and HSBC solve their most data-intensive challenges in the context of their business objectives and usage scenarios. Wim is a regular speaker at industry events where organisations are deciding and defining their big data strategy and direction. Wim holds a degree in Chemical Process Technology from the Eindhoven University of Technology in The Netherlands.

Kaz Jasnikowski

Technology advisor - Datameer

Kaz Jasnikowski has over 5 years experience in enterprise software, including leading sales, professional services and field operations at Datameer, Talend and Stibo Systems. With a wealth of knowledge of the Retail, Finance, Media, Telco and CPG markets, Kaz is successful at working with data and insight driven businesses to leverage their data assets for commercial gain. His focus around building data-driven business models and transforming existing and new business through analytics and data monetisation plays a key role at Datameer.

Tim Midwinter

Openreach data architect - BT Group

Phill Radley

Chief data architect - BT Group