Making Data Simple

On a conference call hosted by IBM Information Management General Manager Bob Picciano, over 1000 participants listened to a Q and A led by IBM Vice President Martin J. Wildberger with Kent Collins, database solutions architect, of BNSF Railway. An early tester of DB2 BLU, Kent calls the BLU Acceleration technology a “game changer” that solves some of his big data challenges and will bring value to their business.

On a conference call hosted by IBM Information Management General Manager Bob Picciano, over 1000 participants listened to a Q and A led by IBM Vice President Martin J. Wildberger with Kent Collins, database solutions architect, of BNSF Railway. An early tester of DB2 BLU, Kent calls the BLU Acceleration technology a “game changer” that solves some of his big data challenges and will bring value to their business.

Marcus Hearne, predictive and business intelligence marketing manager, talks about changes to his daily coffee order, "bleeding data," and what those pieces of data means to a predictive analytics geek. For more information about the IBM big data platform and products, visit www.ibm.com/bigdata For more podcasts, blogs and videos, visit www.ibmbigdatahub.com

Marcus Hearne, predictive and business intelligence marketing manager, talks about changes to his daily coffee order, "bleeding data," and what those pieces of data means to a predictive analytics geek. For more information about the IBM big data platform and products, visit www.ibm.com/bigdata For more podcasts, blogs and videos, visit www.ibmbigdatahub.com

Shep Hyken is a customer experience expert and the Chief Amazement Officer of Shepard Presentations. He is a New York Times and Wall Street Journal bestselling author and has been inducted into the National Speakers Association Hall of Fame for lifetime achievement in the speaking profession. Shep joined us to talk about how companies can go about “Amazing Tomorrow’s Customers.”  Follow Shep on Twitter @hyken To learn more about IBM big data, visit ibm.com/bigdata

Shep Hyken is a customer experience expert and the Chief Amazement Officer of Shepard Presentations. He is a New York Times and Wall Street Journal bestselling author and has been inducted into the National Speakers Association Hall of Fame for lifetime achievement in the speaking profession. Shep joined us to talk about how companies can go about “Amazing Tomorrow’s Customers.”  Follow Shep on Twitter @hyken To learn more about IBM big data, visit ibm.com/bigdata

Operations analysis, one of the top five use cases for big data, is about analyzing a variety of machine data to get improved business results. The key is combining machine and business data, which allows you to put insight right into the hands of the operational decision maker. In this podcast, Christy Maver, IBM big data product marketing manager, describes what operations analysis entails and the primary benefits of employing it. She also relates several examples and gives advice on how to get started with operations analysis.

Operations analysis, one of the top five use cases for big data, is about analyzing a variety of machine data to get improved business results. The key is combining machine and business data, which allows you to put insight right into the hands of the operational decision maker. In this podcast, Christy Maver, IBM big data product marketing manager, describes what operations analysis entails and the primary benefits of employing it. She also relates several examples and gives advice on how to get started with operations analysis.

The IBM Institute for Business Value (IBV) is embarking on its fourth annual survey on analytics and big data. Rebecca Shockley, Global Research Lead at IBV, gave a preview of the objectives for the 2013 survey. She explained they will be looking into how organizations are executing and what it takes to execute on big data analytics within an organization, be it a small company or a large, multinational corporation. IBV will also examine how data are brought together and what skills are involved in deriving value from it.

The IBM Institute for Business Value (IBV) is embarking on its fourth annual survey on analytics and big data. Rebecca Shockley, Global Research Lead at IBV, gave a preview of the objectives for the 2013 survey. She explained they will be looking into how organizations are executing and what it takes to execute on big data analytics within an organization, be it a small company or a large, multinational corporation. IBV will also examine how data are brought together and what skills are involved in deriving value from it.

Diego Saenz, the founder of Data Driven CEO, has over 20 years of experience as a management consultant, corporate executive and entrepreneur. In his current role, he provides Big Data Analytics consulting, speaking and training. He talked with us on the topic “Can Big Data Stem Churn?” You can follow Diego on Twitter @diego_s and visit his website www.DataDrivenCEO.com.

Diego Saenz, the founder of Data Driven CEO, has over 20 years of experience as a management consultant, corporate executive and entrepreneur. In his current role, he provides Big Data Analytics consulting, speaking and training. He talked with us on the topic “Can Big Data Stem Churn?” You can follow Diego on Twitter @diego_s and visit his website www.DataDrivenCEO.com.

Chief marketing officers are evolving to bring creative- and data-driven marketing and advertising together in order to deliver relevance to consumers and discover deeper insight into audiences. In this podcast, Graeme Noseworthy explains the top issues that CMOs reported in a research study they are facing. He also describes “The Data of Desire,” and why is it relevant to CMOs and their ranks of digital marketers and advertisers. 

Chief marketing officers are evolving to bring creative- and data-driven marketing and advertising together in order to deliver relevance to consumers and discover deeper insight into audiences. In this podcast, Graeme Noseworthy explains the top issues that CMOs reported in a research study they are facing. He also describes “The Data of Desire,” and why is it relevant to CMOs and their ranks of digital marketers and advertisers. 

Data Exploration is one of the top five business use cases for big data. Stacy Leidwinger, product marketing manager for IBM Data Explorer, describes the challenges that many organizations face, and the four key steps they should take when beginning a data exploration project. To learn more about IBM big data, visit ibm.com/bigdata For more podcasts, blogs and videos, visit www.ibmbigdatahub.com.