Podcasts

Extending the Value of Your Data Warehouse: Big Data Use Case

Length: 13:13
May 22, 2013

"Data warehouse augmentation" is one of the top five business use cases for big data. Its purpose is to extend the value of existing data warehouses. Christy Maver, IBM big data product marketing manager, explains how data warehouse augmentation can help lower costs, provide the ability to perform analysis on more and new types of data, and she also describes three primary scenarios where data warehouse augmentation makes sense.

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

Security Intelligence with Big Data: A Top Use Case

Length: 17:30
May 20, 2013

Security intelligence with big data is the ability to lower risk, detect fraud and monitor cyber security in real time. Organizations can augment and enhance cyber security and intelligence analysis platforms with big data technologies to process and analyze new types (e.g. social media, emails, sensors, Telco) and sources of under-leveraged data to significantly improve intelligence, security and law enforcement insight. Sandy Bird, chief technology officer of IBM’s security systems division, gave an overview of security intelligence, which is one of the top five use cases for big data. He discussed some key questions an organization should consider, how the threat landscape has changed in recent years, and how organizations are using big data to address cyber security challenges.

BNSF Says that DB2 with BLU is the Future

Length: 9:00
May 15, 2013

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.

What Big Data Means to an Analytics Geek

Length: 18:30
May 13, 2013

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

Amazing Tomorrow's Customers

Length: 24:02
May 6, 2013

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

For more podcasts, blogs and videos, visit www.ibmbigdatahub.com

Key Benefits and Uses of Operations Analysis: Top Big Data Use Case

Length: 18:37
May 1, 2013

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.

Succeeding Or Struggling: Your Experience with Big Data Analytics

Length: 14:36
April 25, 2013

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. They will also look at the leadership and culture of organizations, striving to determine the attributes that lead some companies to succeed while others may flounder.

Listen to the podcast to learn how you can participate and what benefits you will get from being a part of the 2013 survey on big data and analytics, then register to take the survey: ibm.com/2013bigdatasurvey

Download the 2012 study, "Analytics: The real-world use of big data." Follow the IBM Institute for Business Value on Twitter: @IBMIBV

To learn more about IBM big data, visit ibm.com/bigdata. For more podcasts, blogs and videos, visit www.ibmbigdatahub.com

Can Big Data Stem Churn?

Length: 15:10
April 22, 2013

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.

To learn more about IBM big data, visit ibm.com/bigdata

For more podcasts, blogs and videos, visit www.ibmbigdatahub.com

Capitalize on the Power of Big Data to Transform Marketing

Length: 16:27
April 18, 2013

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. 

4 Key Steps to Exploring Big Data

Length: 19:12
April 16, 2013

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.

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