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The Big Datastillery

O The Big Datastillery Results from Aberdeen's Big Data Research Best-in-Class Strategies to Accelerate the Return on Digital Data Presenting the Big Datastillery, a revolutionary new appliance to condense terabyte scale torrents of customer, transactional, campaign, clickstream and social media data down to meaningful and actionable insights that boost response rates, conversions, and customer value. We've included Best-in-Class (BIC) practices in modern marketing data distillation and analytics from Aberdeen's Big Data for Marketing research“ for your thoughtful consumption. CUSTOMER SENTIΜΕNT . CLICKSTREAM DATA SEO DATA SOCIAL o MEDIA SMS Improve targeting of marketing offers to deliver the right offer to the right person at the right time via the right channel is the top strategy by Best-in-Class CAMPAIGN METRICS O o o o Jo o 48% Addressing shifting buyer behavior is the top pressure driving adoption of data analytics for marketing 2.8x companies cited in Aberdeen Group's Big Data research Best-in-Class companies are 2.8 times more likely than Laggards to incorporate unstructured data into analytical models 00101111101010100 11100010101110000 00101111101010100 11100010101110000 Process to model| cross-channel media acrOSS paid, earned, and owned channels (BIC 22% vs. All Others 10%) 00101111101010100 11100010101110000 38% 00101111101010100 11100010101110000 Ability to optimize marketing offers/web experience based on buyer's social profile (BIC 42% vs. 00 00 Ability to apply behavior Best in Class 22% Industry Average Scoring to customer data (BIC 38% vs. All Others 34%) 42% 14% Best in Class Laggards Laggards 22%) 3% 30% Ability to generate customer behavioral profile based on real-time click-stream analysis (BIC 37% vs Al Others 19%) 39% of BIC merge customer data from CRM with online behavioral data to optimize digital experience (vs. 15% of All Others) Ability to use A/B testing in marketing campaigns of Best-in-ClasS companies say gaining insight about effectiveness of specific campaigns and channels is a top data analytics strategy 137% 37% Best in Class Best in Class 39% Higher average marketing response rate for Best-in-Class (6.2%) vs. All Others (2.6%) ndustry Average 48% 26% Laggards 16% CUSTOMER INTERACTION ΟΡTΙIΖΑΤION MARKETING of BIC can deliver outbound offers OPTIMIZATION O o o o o O customized to individuals SUML CRIETHI LGHHJGH ΟPI FJ DK JAKLHF' .. KHADKFt.. LAKLJURPOIQUR, FGJKLJKOROTUYIOP VEJAKL HETYTESCY. (vs. 26% of All Others) o o o 0 0 O • DATAST </head> <body>Data alch huge potential There is valuab content to be 1 52% 13% Higher uplift rate from targeted marketing campaigns for Best-in-Class (3.1%) vs. All Others (2.0%) Year-over-year increase in return on marketing invest- ment (ROMI) for Best-in-Class vs. 0% for All Others Right Person Right Offer Right Time Right Channel As Marketing embraces dynamic, real-time targeting, and incorporates new sources of data both from within the enterprise and externally, volumes, variety, and velocity are expected to grow rapidly. Sixty-seven percent (67%) of companies say Big Data is on their radar and they understand its value, compared with 10% who say it's just "buzz," and 98% of companies in Aberdeen's research say they plan to increase their use of data analytics for marketing over the next 12 months. Build your own big datastillery, discover the value beyond the buzz, and learn how accelerating digital analytics can transform your marketing and your business at IBM.com/AnalyticsAccelerator. Aberdeen Group *Source: Aberdeen Group, Big Data for Marketing: Targeting Success, January 2013 IBM A Harte-Hanks Company TRANSACTIONAL DATA AD IMPRESSIONS MARKETING HISTORY PPC о о оо CRM EMAIL METRICS O O The Big Datastillery Results from Aberdeen's Big Data Research Best-in-Class Strategies to Accelerate the Return on Digital Data Presenting the Big Datastillery, a revolutionary new appliance to condense terabyte scale torrents of customer, transactional, campaign, clickstream and social media data down to meaningful and actionable insights that boost response rates, conversions, and customer value. We've included Best-in-Class (BIC) practices in modern marketing data distillation and analytics from Aberdeen's Big Data for Marketing research“ for your thoughtful consumption. CUSTOMER SENTIΜΕNT . CLICKSTREAM DATA SEO DATA SOCIAL o MEDIA SMS Improve targeting of marketing offers to deliver the right offer to the right person at the right time via the right channel is the top strategy by Best-in-Class CAMPAIGN METRICS O o o o Jo o 48% Addressing shifting buyer behavior is the top pressure driving adoption of data analytics for marketing 2.8x companies cited in Aberdeen Group's Big Data research Best-in-Class companies are 2.8 times more likely than Laggards to incorporate unstructured data into analytical models 00101111101010100 11100010101110000 00101111101010100 11100010101110000 Process to model| cross-channel media acrOSS paid, earned, and owned channels (BIC 22% vs. All Others 10%) 00101111101010100 11100010101110000 38% 00101111101010100 11100010101110000 Ability to optimize marketing offers/web experience based on buyer's social profile (BIC 42% vs. 00 00 Ability to apply behavior Best in Class 22% Industry Average Scoring to customer data (BIC 38% vs. All Others 34%) 42% 14% Best in Class Laggards Laggards 22%) 3% 30% Ability to generate customer behavioral profile based on real-time click-stream analysis (BIC 37% vs Al Others 19%) 39% of BIC merge customer data from CRM with online behavioral data to optimize digital experience (vs. 15% of All Others) Ability to use A/B testing in marketing campaigns of Best-in-ClasS companies say gaining insight about effectiveness of specific campaigns and channels is a top data analytics strategy 137% 37% Best in Class Best in Class 39% Higher average marketing response rate for Best-in-Class (6.2%) vs. All Others (2.6%) ndustry Average 48% 26% Laggards 16% CUSTOMER INTERACTION ΟΡTΙIΖΑΤION MARKETING of BIC can deliver outbound offers OPTIMIZATION O o o o o O customized to individuals SUML CRIETHI LGHHJGH ΟPI FJ DK JAKLHF' .. KHADKFt.. LAKLJURPOIQUR, FGJKLJKOROTUYIOP VEJAKL HETYTESCY. (vs. 26% of All Others) o o o 0 0 O •<html> <head> <title>DATAST </head> <body>Data alch huge potential There is valuab content to be 1 52% 13% Higher uplift rate from targeted marketing campaigns for Best-in-Class (3.1%) vs. All Others (2.0%) Year-over-year increase in return on marketing invest- ment (ROMI) for Best-in-Class vs. 0% for All Others Right Person Right Offer Right Time Right Channel As Marketing embraces dynamic, real-time targeting, and incorporates new sources of data both from within the enterprise and externally, volumes, variety, and velocity are expected to grow rapidly. Sixty-seven percent (67%) of companies say Big Data is on their radar and they understand its value, compared with 10% who say it's just "buzz," and 98% of companies in Aberdeen's research say they plan to increase their use of data analytics for marketing over the next 12 months. Build your own big datastillery, discover the value beyond the buzz, and learn how accelerating digital analytics can transform your marketing and your business at IBM.com/AnalyticsAccelerator. Aberdeen Group *Source: Aberdeen Group, Big Data for Marketing: Targeting Success, January 2013 IBM A Harte-Hanks Company TRANSACTIONAL DATA AD IMPRESSIONS MARKETING HISTORY PPC о о оо CRM EMAIL METRICS O </p> </div> </div> </div> </div> </div> <div class="col-4 col-offset-1 details-section"> <div class="info"> <div class="breadcrumb"> <div class="path"> <a href="/">visual.ly</a> </div> <div class="path type"> <a href="/"> Infographic </a> </div> <div class="path"> <a href='https://visual.ly/business-infographics'>Business</a> </div> </div> <h1>The Big Datastillery</h1> <div class="data">shared by <span rel="sioc:has_creator"><a href="/users/graemeknows" title="View user profile." class="username" xml:lang="" about="/users/graemeknows" typeof="sioc:UserAccount" property="foaf:name" datatype="">graemeknows</a></span> on Mar 19</div> <div class="stats"> <div class="views"> <span class="icon"></span> <span class="count">486</span> <span class="metric">views</span> </div> <div class="likes"> <span class="icon"></span> <span class="count">1</span> <span class="metric">fave</span> </div> <div class="shares"> <span class="icon"></span> <span class="count">1</span> <span class="metric">shares</span> </div> <div class="comments"> <span class="icon"></span> <span class="count">0</span> <span class="metric">comments</span> </div> </div> <div class="description"> <span class='short-description'> IBM & Aberdeen present The Big Datastillery: a revolutionary new “appliance” to condense terabyte scale torrents of customer, transactional, campaign, clickstream and social media data down to mea... </span> <span class='hidden description-more'> ningful and actionable insights that boost response rates, conversions, and customer value. </span> </div> <div class="node-credits"> <div class="credit"> <h4>Publisher</h4> <span class="publisher-name"> IBM </span> <br> </div> <div class="credit"> <h4>Designer</h4> <a target="_blank" href="http://www.aberdeen.com/"> <span class="publisher-name"> Aberdeen </span> </a> <br> </div> </div> <div class="tags"> <p>Tags</p> <a class='tag-label' href='https://visual.ly/tag/big-data'>big data</a> <a class='tag-label' href='https://visual.ly/tag/ibm'>ibm</a> <a class='tag-label' href='https://visual.ly/tag/analytics'>analytics</a> <a class='tag-label' href='https://visual.ly/tag/marketing'>marketing</a> </div> <div class="source"> <p>Source</p> <a class='source-label' href='http://www.ibmbigdatahub.com/blog/big-datastillery-strategies-accelerate-return-digital-data' rel='nofollow' target='_blank' >http://www.i...gital-data</a> </div> <div class="category"> <p>Category</p> <a class='category-label' href='https://visual.ly/business-infographics'>Business</a> </div> <div class="infographic-admin-menu infographic-edit-menu"></div> <a href="https://visual.ly/contact-us" class="suggest">Did you work on this visual? 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