Making Data Simple

Master data management has been around for many years. Now, with the emergence of big data technologies, MDM is seeing a resurgence in popularity and importance. Rick Clements, program director of Master Data Management Product Marketing, explains why MDM is a foundational aspect of a big data platform and how the two technologies work together to solve business challenges. For more information about the IBM big data platform and products, visit www.ibm.com/bigdata

Brett King, CEO/Founder of Moven, author of Bank 3.0, host of “Breaking Banks” podcast radio show on Voice America, and recipient of the Innovator of the Year award from American Banker magazine, joined us to talk about “smarter digital banking and big data.” 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

Brett King, CEO/Founder of Moven, author of Bank 3.0, host of “Breaking Banks” podcast radio show on Voice America, and recipient of the Innovator of the Year award from American Banker magazine, joined us to talk about “smarter digital banking and big data.” 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

"Data scientist" has been called the "sexiest job of the 21st century," but what exactly is a data scientist and what does one do? Big Data Evangelist James Kobielus explains by way of shooting down 10 myths about the role. 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

"Data scientist" has been called the "sexiest job of the 21st century," but what exactly is a data scientist and what does one do? Big Data Evangelist James Kobielus explains by way of shooting down 10 myths about the role. 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

Brian Vellmure is an analyst, consultant and frequent Keynote Speaker on the alignment of emerging technology, strategy, innovation and the customer experience. He was also the featured guest on a recent Twitter chat where the topic was “the impact of digital innovation on customer experience.” 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

Brian Vellmure is an analyst, consultant and frequent Keynote Speaker on the alignment of emerging technology, strategy, innovation and the customer experience. He was also the featured guest on a recent Twitter chat where the topic was “the impact of digital innovation on customer experience.” 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

When organizations don't have trust in their data, they don't act upon it. With more companies looking to use big data to get richer insights, the question of "Can I trust these data?" arises more frequently. David Corrigan, director of product marketing for IBM InfoSphere, talks about how good information governance and security can build trust in data. For more information about the IBM big data platform and products, visit www.ibm.com/bigdata

When organizations don't have trust in their data, they don't act upon it. With more companies looking to use big data to get richer insights, the question of "Can I trust these data?" arises more frequently. David Corrigan, director of product marketing for IBM InfoSphere, talks about how good information governance and security can build trust in data. For more information about the IBM big data platform and products, visit www.ibm.com/bigdata

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

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

"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.

"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.

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.

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.