COVER STORY
John Lewis department store, Liverpool
©John Lewis
BIG DATA DRIVES ONLINE REVENUE AT JOHN LEWIS
Retail Technology recently spoke excusively to Aleem Cummins of successful omnichannel, department store retailer, John Lewis about mining machine data to drive greater profits and ultimately, better customer experiences
M
achine data, one of the fastest growing segments of ‘big data,’ is generated by websites, applications, servers, networks, mobile devices, sensors, radio
frequency identification (RFID) assets or any device that produces data at any moment of the day. It is an often untapped resource that can bring great benefits to retailers. Splunk is one of the software technologies that is making machine data accessible,
usable and valuable to retailers such as John Lewis. By monitoring and analysing a multitude of events, from customer clickstreams and transactions to network activity and call records and more, Splunk turns machine data into business insights. Those insights are being used by John Lewis to achieve operational and customer
insight across its website,
johnlewis.com, which generates a billion GBP of annual revenue in addition to the 41 stores it operates across the UK as part of the John Lewis Partnership. Previously, in order to troubleshoot downtime or latency issues, the John
10 Autumn 2014
www.retailtechnology.co.uk
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52 |
Page 53 |
Page 54 |
Page 55 |
Page 56 |
Page 57 |
Page 58 |
Page 59 |
Page 60