Major International Retailer                                           Finds Insight in Their Own Data                    ...
CASE STUDYFurthermore, accessing data in real time is not     Big Data Benefitsoften available, as systems hit scaling iss...
CASE STUDYManaging Big Data at scale                          Integrated. Infochimps’ experience and toolWith traditional ...
About Infochimps                                    Our mission is to make the world’s data more accessible.              ...
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Case Study: Major International Retailer Finds Insight in Their Own Data

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Seemingly simple questions like “how many basic tees did we sell today?”, “what time of year do we sell the most leggings?”, or “what else has customer X bought and what kind of coupons can we send her?” are easy to answer when you have a single retail location and a small customer base. However, expand your operation to 200 worldwide brick and mortar retail stores, a robust e-commerce site, and a wholesale business, and connecting the dots can suddenly become a daunting, nearly impossible task.

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Case Study: Major International Retailer Finds Insight in Their Own Data

  1. 1. Major International Retailer Finds Insight in Their Own Data CASE STUDY Seemingly simple questions like “how many basic tees did we sell today?”, “what time of year do we sell the most leggings?”, or “what else has customer X bought and what kind of coupons can we send her?” are easy to answer when you have a single retail location and a small customer base. However, expand your operation to 200 worldwide brick and mortar retail stores, a robust e-commerce site, and a wholesale business, and connecting the dots can suddenly become a daunting, nearly impossible task.We had all the With millions of transactions daily, spread across multiple disconnecteddata there, but legacy systems and IT teams, it feels impossible to see the full picture ofwe didn’t the data. Finding the link in the total company sales, between in store and online sales, can lead to deep insights into customer behavior anddiscover its full overall company health, but often this information is so hard to pullpotential until together that the issue goes unaddressed. With the Infochimps Platform, this retailer is able to bring together multiple streams of dataInfochimps! into one interface that allow people from around the organization, from retail analysts to marketing managers to digital media analysts, to- CEO, Retail Company answer a variety of valuable and formerly unfathomable questions. Challenges Retail stores typically run on legacy POS systems that batch update on a daily basis and often do not communicate with each other, let alone with a slick e-commerce site. For a marketing analyst trying to understand the strength and health of their product or campaign, reconciling these systems and their different data can be an impossible task. While omni-channel retailing solutions do exist, they require both store managers and web developers to learn entirely new systems, racking up huge costs in time and money for company-wide training and systems deployment. Teams become familiar with their different technologies and ways of accessing data and re-skilling can be a daunting task.© 2012 Infochimps, Inc. All rights reserved. 1
  2. 2. CASE STUDYFurthermore, accessing data in real time is not Big Data Benefitsoften available, as systems hit scaling issues. Custom segmentation & micro-targetingWant to know if a particular item is in stock in Customer groups vary from industry to industryanother nearby store? This information is often and there is no “one size fits all” solution. Ournot readily available and requires phone calls or client had a number of specialized questions toother communication that add further time to a ask of their data and the power of thetransaction and potentially prevent an Infochimps Platform allowed them to make thisimmediate sale from being made. a reality. Some of the questions that the Platform enabled our retail client to answer:If access to the data is even possible, theremay not be anything particularly rich or useful • How do we figure out which of our custom-about it. Transaction data in its raw form only ers are more conservative and modify ourhelps a company understand their sales, but display ads accordingly to meet their tastes?not necessarily the connection between their With improved targeting of offers, oursales and the weather, the demographics of the retail client was able to drive deepershoppers, the relationship of that shopper to loyalty in their customer base, puttingother purchases, the golden path to purchase, the right offers in front of the rightor other useful bits of information. people. • How do we map in-store check-ins withSolution Foursquare to in-store sales? Understand-We implemented the Infochimps Platform in just ing the connection between social influenceone month and with minimal training because and purchase behavior can be a dauntingwe did not have to rebuild the the retailer’s task. By using the Infochimps Platform tosystems from scratch. We brought together augment their sales data with Foursquaremultiple streams of data into one place, check-in data, our client was able to betterallowing the company’s marketing analysts, correlate in-store visits to sales andstore managers, C-level executives and other better understand and leverage insightskey stakeholders to ask the questions they in purchase behavior and social sharing.wanted and easily return true answers to their • How can we tie web visits to our shoppers’queries. The company’s internal teams got a locations? By augmenting the client’sunified platform where they could ask questions weblogs with demographic and geographicacross the multiple sources, empowering them data from Infochimps Geo APIs, we werewith better analytics and insights to understand able to provide enhanced web segmenta-their business. Furthermore, we helped give tion, enabling the retailer to get a clearertheir internal data context with augmenting picture of where their online shoppersdetails from our data catalog. and purchasers physically reside.© 2012 Infochimps, Inc. All rights reserved. 6
  3. 3. CASE STUDYManaging Big Data at scale Integrated. Infochimps’ experience and toolWith traditional legacy systems, the amount of development in all the other aspects of Bigdata collected can quickly become overwhelm- Data, from ingestion and conditioning to low-ing and impossible to make useful. The friction delivery (in the form of our APIInfochimps Platform, with its Data Delivery platform), means that the team understandsService (DDS) and Dashpot tools helps retailers and is equipped with the tools to successfullyaugment their point of sale and online purchase navigate and troubleshoot the entire Big Datadata though a highly scalable system, perfected ecosystem of an organization.tuned to handle the Big Data requirements ofretailers. Flexible Cost. The Infochimps, as well as a number of other early-stage companies relyThe Infochimps Platform augments the retailer’s exclusively on IaaS (infrastructure as a service)sales data on the fly, and enables the user to providers such as Amazon Web Services. Thisvisualize the results as they happen in a allows for all infrastructure costs to be operatingsimple, easily configurable interface. The expenses (use what you need) and not capitalinsights gained from these visualizations can expenditures (pay for infrastructure whether youhelp retailers to more quickly iterate on target need it or not). Switching from CapEx to OpExoffers that ultimately boost customer lifetime can dramatically lower the funding barrier tovalue and deliver a more consistent customer adopting Big Data internally in an enterprise.experience across channels. Context. Perhaps best of all, the InfochimpsInfochimps is a powerful data system that Platform can be used to provide context toingests and delivers massive amounts of data enterprise’s internal data, whether throughwhile performing complex, resource-intensive public opinion mining (via social networks),analytics along the way. Our unique technology geo-located information of many varieties, wordsuite and best practices helps our retail clients corpus training for machine learning, and otherunlock the potential of the Big Data they already commonly useful (but difficult to accumulate)have and of the even bigger data available data. All those capabilities combine to make usonline. a great choice for providing Big Data services to the budget and process-conscious enterpriseWhy Infochimps? customer.Experienced. With years of experience institching together multiple data streams intocohesive, queryable APIs, Infochimps hasexpertise to help organizations get value out oftheir data faster.© 2012 Infochimps, Inc. All rights reserved. 6
  4. 4. About Infochimps Our mission is to make the world’s data more accessible. Infochimps helps companies understand their data. We provide tools and services that connect their internal data, leverage the power of cloud computing and new technologies such as Hadoop, and provide a wealth of external datasets, which organizations can connect to their own data. Contact Us Infochimps, Inc. 1214 W 6th St. Suite 202 Austin, TX 78703 1-855-DATA-FUN (1-855-328-2386) www.infochimps.com info@infochimps.com Twitter: @infochimps Get a free Big Data consultation Let’s talk Big Data in the enterprise! Get a free conference with the leading big data experts regarding your enterprise big data project. Meet with leading data scientists Flip Kromer and/or Dhruv Bansal to talk shop about your project objectives, design, infrastructure, tools, etc. Find out how other compa- nies are solving similar problems. Learn best practices and get recommendations — free.© 2012 Infochimps, Inc. All rights reserved. 8

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