How Analysis of Machine Data will Improve my Black Friday

If you’re anything like me then a) you haven’t started your Christmas shopping and b) Black Friday and Cyber Monday tend to be a chaotic hour or two in the evening when all the good stuff has gone. This year I’m going to try and do better, and as this post will help demonstrate, organizations using machine data and Splunk are going to help me. So here’s how I’m hoping this year’s Black Friday shopping will go...

Firstly, I'll see what I can save money on (not that I’m a cheapskate) by checking what GroupOn vouchers there are. GroupOn is using machine data for a wide range of use cases.

It will turn out that Travis Perkins has 20% off lawnmowers with a GroupOn voucher, so I'll buy a Bosch lawnmower - safe in the knowledge that my data is secure as Travis Perkins has moved its SOC to the cloud with Splunk.

The lawnmower will be a Bosch connected lawnmower. Bosch used Splunk to collect data from the lawnmowers and run remote diagnostics of its fleet. I'll pay with my UniCredit credit card - a company that uses Splunk for monitoring transactions and banking services.

Then I'll order an Alpaca pet house for my German friend, Matthias (he really does keep Alpacas), from Otto is one of Germany's largest retailers and has done some amazing things with its machine data, including Augmented Reality and IT operations anomaly detection.

When choosing the delivery slot for Matthias’ (very large) Alpaca house, I'll realise it is being transported by DB Cargo. Did you know that DB Cargo uses Splunk for predictive maintenance & IoT analytics for its trains?

I'll probably take a quick TV break from all the shopping, see the Bombay Sapphire TV advert and Shazam it. Shazam uses Splunk for business analytics, its mobile app and a new AR offering.

I'll end up buying the bottle of Bombay Sapphire on Tesco uses Splunk for IT Operations to reduce its Mean Time To Resolve (MTTR) issues by 95%, and in doing so gain 30% of its development cycles back.

Thinking of gin will make me think about coffee (for the morning after), so I'll visit the Starbucks website next to order some strong espresso and new coffee cups for my brother. Starbucks use Splunk Phantom to automate security response.

Next on my list are my US-based friends. I'll treat Tom (who lives in San Francisco) to some new gaming headphones from Nordstrom as he's a big gamer. Nordstrom uses Splunk for multiple use cases including POS monitoring, application delivery and security and compliance. Ubisoft (maker of Assassin’s Creed) uses Splunk to support and underpin gaming infrastructures. I'll pay for the headphones via Worldpay. Worldpay uses Splunk to underpin payment services across the world.

Realising I need a new Dell gaming laptop to play video games against Tom, I'll head to who used Splunk for the last BlackFriday/Cyber Monday to ensure zero downtime, record sales, record high customer satisfaction and improved brand reputation.

At this point I'll have a mass panic as I realise I’m out of wrapping paper and tape so head to Staples. Staples is using Splunk to detect and resolve IT issues, and use that same data to get improved insights into customers.

Stuck for present ideas for my wife I'll browse John Lewis for ideas. John Lewis is using Splunk for IT operations to get a service level view of its IT operations, using the insight to improve customer experience.

My wife always asks for ideas of what I’d like for Christmas, so will take a look at what's on Mr Porter, Net-a-Porter and a lot of the high-end retail brands’ websites are actually run by Yoox - a Splunk customer who rely on the platform for real-time security analytics.

I know I'll find a pair of Kurt Geiger shoes I'll like, so head to teh brand's own website for more options. Kurt Geiger uses Splunk to monitor its AWS cloud, improve customer experiences, and make sure everything continues to work on a crazy busy Black Friday.

Finally - I'm thinking of getting a bike for Christmas. It would need to be a Trek bike though…

As always, thanks for reading. Good luck with your online shopping…


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