use case

"Zone Architecture" model explains how big data fits into IT strategy

Length: 15:06
May 26, 2014

Conceptually, big data can be difficult for people to understand. If they can't fully understand it, then it's difficult for them to see how it fits into their strategic IT plans. To help explain the concepts behind big data and its place in IT infrastructure, IBM has developed a "Zone Architecture" built around five zones that relate to how organizations manage data and run analytics. Rick Clements, director of product marketing for IBM Big Data, described the Zone Architecture, as well as the use cases  and types of products typically used within each zone.

You can explore the big data zone architecture in an interactive infographic the lists use cases, provides product information, and shows videos of how clients are operating in each zone. 

For more podcasts, blogs, videos, infographics and other resources, visit www.IBMBigDataHub.com.

Follow @IBMbigdata on Twitter and also follow podcast host David Pittman @TheSocialPitt.

Real-world Use of Big Data in Retail

Length: 19:02
September 12, 2013

Swanie Tolentino, retail big data solutions & marketing leader at IBM, discusses key points from a research study titled, "The Real-world use of Big Data in Retail: How Innovative Retailers Extract Value from Uncertain Data." She also relates examples of how retailers are using big data and analytics to execute their strategies to acquire more customers and retain the ones they have.

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

How to Get an Enhanced 360 View of the Customer

Length: 25:52
June 3, 2013

A big data platform, because of its ability to consume and process more data from both static and streaming sources, enables organizations to get an "enhanced 360-degree view of the customer" that has not been possible previously. Mark Myers, IBM big data product manager, describes this key use case and gives several examples of how today's new big data technology differs from and complements CRM and other existing products.

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

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.

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.

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

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.

Getting a 360-degree View of a Corporation

Length: 8:00
April 1, 2013

When thinking about the big data use case of "getting a 360-degree view of the customer," remember this: "corporations are people too." That's the advice of Tom Deutsch, IBM big data program director. Getting a complete view of the entities within a corporation is far more complex than it is for an individual person, but the benefits are also far greater with potential profits and reduced risk exposure. Tom explains in this brief podcast.

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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