Thursday, July 9, 2020
Splunk Use Case Dominos Success Story
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Splunk Developer and Admin (11 Blogs) Become a Certified Professional AWS Global Infrastructure Splunk Introduction What Is Splunk? A Beginners Guide To Understanding Splunk Splunk Fundamentals Splunk vs. ELK vs. Sumo Logic: Which Works Best For You?Splunk Tutorial For Beginners: Explore Machine Data With SplunkSplunk Use Case: Domino's Success StorySplunk Architecture: Tutorial On Forwarder, Indexer And Search Head Splunk Knowledge Objects: Splunk Timechart, Data Models And Alert Splunk Knowledge Objects: Splunk Events, Event Types And TagsSplunk Lookup and Fields: Splunk Knowledge Objects Interview Questions Top 30 Splunk Interview Questions To Prepare In 2020Splunk Careers â" Your Pathway To Hot Big Data JobsBig Data Topics CoveredBig Data and Hadoop (144 Blogs)Hadoop Administration (7 Blogs)Apache Storm (4 Blogs)Apache Spark and Scala (29 Blogs)SEE MORE Splunk Use Case: Dominos Success Story Last updated on May 22,2019 17.7K Views Vardhan Vardhan is a technology enthusiast working a s a Sr. Research Analyst at... Vardhan is a technology enthusiast working as a Sr. Research Analyst at Edureka. He has expertise in domains like Big data, Cloud computing and... Bookmark 3 / 4 Blog from Splunk Fundamentals Become a Certified Professional While many companies and organizations have used Splunk for operational efficiency, in this blog post I will talk about how Dominos Pizza used Splunk to analyze consumer behaviour to build data driven business strategies. This Splunk use case shows how Splunk can be used extensively in any domain.The demand for Splunk Certification as a skill in the industry is soaring high with companies of all sizes actively using Splunk and seeking certified professionals for the same.Splunk Use Case: Dominos PizzaYou might be aware that Dominos Pizza is an e-commerce cum fast food giant, but you might be unaware of the big data challenge they were facing. They wanted to understand their customers needs and cater to them more effectively by us ing Big Data. This is where Splunk came to the rescue.Look at the image below which depicts the circumstances that were building up to cause big data problems at Dominos.Lot of unstructured data was generated because:They had an omni-channel presence for driving salesThey had a huge customer baseThey had several touch points for customer serviceThey provided multiple systems for delivery: Order food in-store, order via telephone, via their website and through cross-platform mobile applicationsThey upgraded their mobile apps with a new tool to support voice ordering and enable tracking of their ordersThe excess data generated gave rise to the following problems:Manual searches being tedious and error proneLess visibility into how customer need/preference variesUnpreparedness and thus working in reactive mode to fix any problemDominos felt that the solution to these problems would lie in a tool which can easily process data. That was when they implemented Splunk. Up until implementing Splunk, managing the companys application and platform data was a headache, with much of its log files in a giant mess according to their Site Reliability Engineering Manager, Russell Turner Turner mentioned that using Splunk for Operational Intelligence in place of a traditional APM tool helped him to lower the cost, search the data faster, monitor performance and get better insights into how customers were interacting with Dominos. If you look at the below image, you will find the different applications that were set up by implementing Splunk.Interactive Maps, for showing orders in real time coming from all across US. This brought employee satisfaction and motivationReal time feedback, for employees to constantly see what customers are saying and understand their expectationsDashboard, used to keep scores and set targets, compare their performance with previous weeks/ months and against other storesPayment Process, for analyzing the speeds of different payment modes and identif ying error free payment modesPromotional Support, for identifying how various promotional offers are impacting in real-time. Before implementing Splunk, the same task used to take an entire dayPerformance Monitoring, to monitor the performance of Dominos in-house developed point of sales systemsSplunk proved to be so beneficial to Dominos that teams outside the IT department started exploring the possibility to use Splunk for gaining insights from their data.Splunk For Promotional Data InsightsI am going to present a hypothetical Splunk use case scenario which will help you understand how Splunk works. This scenario demonstrates how Dominos Pizza used Promotional data to get better clarity as to which offer/coupon works best with respect to different regions, order revenue sizes and other variables.*Note: The example of Promotional data used is representative in nature and data present might not be accurate.Dominos had no clear visibility into which offer works best in terms of:Off er type (Whether their customers preferred a 10% discount or a flat $2 discount?)Cultural differences at a regional level (Do cultural differences play a role in offer choice?)Device used for buying products (Do devices used for ordering play a role in offer choices?)Time of Purchase (What is the best time for the order to be live?)Order revenue (Will offer response change wrt to order revenue size?)As you can see from the below image, promotional data was collected from mobile devices, websites and various outlets of Dominos Pizza(using Splunk Forwarders) and sent to a central location(Splunk Indexers).Splunk forwarders, would send the promotional data generated in real time. This data contained information about how customers responded when they were given offers, along with other variables like demographics, timestamp, order revenue size and device used.Customers were divided into two sets for A/B Testing. Each set was given a different offer: 10% discount offer and flat $2 offer . Their response was analyzed to determine which offer was preferred by the customers.The data also contained the time when customers responded and if they would prefer to buy in-store or do they prefer to order online. If they did it online, then the device they used to make the purchase was also included. Most importantly, it contained Order revenue data to understand if offer response changes with the order revenue size.Once the raw data was forwarded, Splunk Indexer was configured to extract the relevant information and store it locally. Relevant information being the customers who responded to offers, time at which they responded and the device used for redeeming the coupons/offers.Typically, the below information was stored:Order revenue based on customer responseTime of purchase of productsDevice preferred by customers for placing the orderCoupons / Offers usedSales numbers based on GeographyFor performing various operations on the Indexed data, Search head was used. It is t he component which gives a graphical interface for searching, analyzing and visualizing the data stored in the Indexers. Dominos Pizza gained the below insights by using the visualization dashboards provided by the Search head:In USA and Europe, customers preferred a 10% discount instead of a $2 offer. Whereas in India, customers were more inclined to a flat $2 offer10% discount coupons were used more when the order revenue size was large, whereas flat $2 coupons were used more when order revenue size was small.Mobile apps were the preferred device for ordering during the evening and orders coming in from the website was most during the noon. Whereas ordering-in-store was highest during the morningDominos Pizza collated these results to customize the offers/coupons with respect to order revenue sizes for customers from a particular geography. They also determined which was the best time to give offers/coupons and targeted the customers based on the device they were using.There are s everal other Splunk use case stories which show how various companies have benefited and grown their business, increased their productivity and security. You can read more such stories here.Do you want to learn Splunk and implement it in your business? Check out our Splunk certification training here, that comes with instructor-led live training and real-life project experience.This Splunk use case blog would have given you a fair idea of how Splunk works. Read my next blog on Splunk architecture to learn what are the different Splunk components and how they interact with one another.Recommended videos for you Apache Spark Redefining Big Data Processing Watch Now Boost Your Data Career with Predictive Analytics! Learn How ? 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