Big Data Analytics Use Cases | Business Analytics 3.0
E-tailing – E-Commerce – Online Retailing Use Cases
e-tailers are constantly creating target offers to boost customer lifetime value (CLV); deliver consistent cross-channel customer experiences; harvest customer leads from sales, marketing, and other sources; and continuously optimize back-end process orchestrations.

Recommendation engines — increase average order size by recommending complementary products based on predictive analysis for cross-selling.
Cross-channel analytics — sales attribution, average order value, lifetime value (e.g., how many in-store purchases resulted from a particular recommendation, advertisement or promotion).
Event analytics — what series of steps (golden path) led to a desired outcome (e.g., purchase, registration).
Right offer at the right time
Next best offer  - deploying predictive models in combination with recommendation engines that drive automated next best offers and tailored interactions across multiple interaction channels.
Interesting Use Case – Amazon Will Pay Shoppers $5 to Walk Out of Stores Empty-Handed
Interesting use of consumer data entry to power next generation retail price competition…. Amazon is offering consumers up to $5 off on purchases if they compare prices using their mobile phone application in a store.  The promotion will serve as a way for Amazon to increase usage of its bar-code-scanning application, while also collecting intelligence on prices in the stores.

Amazon’s Price Check app, which is available for iPhone and Android, allows shoppers to scan a bar code, take a picture of an item or conduct a text search to find the lowest prices. Amazon is also asking consumers to submit the prices of items with the app, so Amazon knows if it is still offering the best prices.  A great way to feed data into its learning engine from brick-and-mortar retailers.

This is an interesting trend that should terrify brick-and-mortar retailers. While the real-time “Everyday Low Price” information empowers consumers, it terrifies retailers, who increasingly are feeling like showrooms — shoppers come to to check out the merchandise but ultimately decide to walk out and buy online instead.  See Multi-channel to Omni-channel Retail Analytics: A Big Data Use Case

Retail/Consumer Use Cases
Merchandizing and market basket analysis.
Campaign management and customer loyalty programs.
Supply-chain management and analytics.
Event- and behavior-based targeting.
Market and consumer segmentations.
Big Data Analytics History: In the 1980’s, the CPG / Retail industry transition from bi-monthly audit data to scanner data changed the dynamics of the industry.  RFID is transforming the supply chain.  Combining data from a diverse set of data resources—  adding customer sentiment data, geolocation data, customer preference analysis, and market trending information based on contextual text analytics, all add up to provide a level of sophistication previously unavailable to the industry.
Predictive analytics is well understood by the retail industry.  Retailers want to predict factors that might be important for a buyer to make a purchasing decision before that product ever was stocked on shelves.  What if retailers could know exactly what market dynamics were modifying demand curves before they occurred? Imagine the impact on operational efficiencies in terms of inventory cost control, intelligent distribution and routing, and demand projection.  The retail Use Cases are quite varied.
use-cases  bigdata 
june 2012
« earlier      
adtech advertising agile ai algorithm algorithms analytics android angels apache api app application apps arc architecture asdf assembly atom aws bayeux benchmark bigdata bittorrent blog book books browser c c# camera canvas chart cheng-man-ching chrome classes clipboard clojure clojurescript cloud cloud-paging clustering cmdline code cofounder collection collections collective colombia comet compression concentration conference continuations cookies cool couchdb crowdsourcing cryptography css css3 culture d3 data data-exchange database db debugging design designers development diagram discussion documentation dreamhost dslr editor education emacs email engine epoll equity erlang esignature event event-driven examples expertise extensions fabric facebook fibers flash flight flights focus food foreman founder framework friends fundraising game gantt genetic-algorithms genetic-programming genetics gevent git google great guide hacker hacker-news hadoop hardware hardware-evolution hash hdr heroku high-performance hosting html html5 http http-streaming icon id3 ide image image-2-txt infographic inspiration install internet ipad iphone iran iranian java javascript jquery jsdoc jslint json kanban kmeans language lean learn learning learning-theory lesson libraries library linux lisp logging lucene mac mac-osx machine-learning map-reduce maps marketing mathematics memory menus messaging methodology mind mit mobile monitoring mono mysql networking nginx node.js non-blocking nosql nyc open-source options outsourcing parser patterns paul-graham performance perl persian photography php planet player pr presentation pretty-print pricing privacy product-management programming project-management protocol psgi publishing pubsub python queue r rack radio rails raspberry-pi real-time realestate realtime redis reference remote restaurants riak ror rss ruby s3 scaling scheme screen screencast scrum search sem seo server shell showcase sicp silicon-valley simpledb sinatra sites slime software software-tools solar space spanish specification spreadsheet ssh ssl standards startup startups static statistics steve-morin streaming success tai-chi technique teepeedee2 template template-engine templates term-sheet terminal testing textmate time tip tips tool tools travel tutorial tutorials twitter txt typography ui unix use-cases user-testing utilities v8 vc venture-capital vert.x vi video vim visualization web web-apps web-frameworks web-server webkit websocket websockets wireframes writing wsgi xss yahoo ycombinator ycombinator-company zeromq

Copy this bookmark:



description:


tags: