Analytics

Then and now: A five-year look at analytics studies

Length: 17:07
July 27, 2014

The internationally renowned IBM Institute for Business Value (IBV) is beginning its 2014 survey on analytics. Rebecca Shockley, the global research leader for analytics at IBM Institute for Business Value, recapped some of the key findings from studies conducted over the last five years and how the use of analytics has evolved during that time. Rebecca also described what the research team will be watching for in this year’s study.

You can download all the prior studies at ibm.com/iibv and participate in the 2014 survey at Ibm.co/AnalyticsStudy

Follow the IBM Institute for Business Value on Twitter @IBMIBV  and Rebecca at @rashockley. We also recommend you follow IBM Big Data @IBMbigdata, IBM Analytics @IBManalytics, and podcast host David Pittman @TheSocialPitt

How SMBs are approaching big data analytics

Length: 17:54
July 7, 2014

Cloud, mobile, security, analytics and big data are all significant issues for IT organizations, and the landscape of each issue is rapidly evolving. While it’s difficult for organizations of all sizes to keep up with the changes, it’s especially challenging for small and midsize companies. Brian Beals and Steve Cavolick join us from Sirius Computer Solutions, an IT solutions integrator that provides infrastructure and software consulting and services. Brian and Steve shared some of their knowledge about how SMBs are approaching and solving these IT challenges.

Learn more about how Brian and Steve can help you at their company website, www.mysiriuszone.com and connect with them on LinkedIn.

Follow abreast of a wide range of issues affecting midsize companies at the MidsizeInsider.com

And for more information about IBM’s big data and analytics solutions, visit ibmbigdatahub.com.

"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.

It must be big data's fault

Length: 11:14
May 16, 2014

Some people mistakenly blame big data for failures in their results. If the outcome is bad, it must be big data’s fault, right? Wrong!

You can have the right data and get the analytics wrong. You also need to know how to apply results and take action on them. You can have all of the right data and run the right analytics, but if you don’t feed the results back into your operational processes, you won’t be fully leveraging the data to drive positive change. That’s not a big data failure, that’s an operational issue. This is where major opportunities lie in the near future: going beyond implementing big data for big data’s sake and focusing on driving desired business outcomes.

Follow Tom on Twitter @thomasdeutsch and talk with him on LinkedIn, where he’s a frequent contributor. You can also read his posts on ibmbigdatahub.com and ibmdatamag.com. Also follow podcast host David Pittman @TheSocialPitt.

For more information about the IBM big data platform and products, visit www.ibm.com/bigdata. For more podcasts, blogs, videos, infographics and other resources, visit www.IBMBigDataHub.com.

Real-time analytics in the cloud

Length: 17:31
May 12, 2014

Cloud computing is gaining momentum, and for good reason. Some people consider it for overall IT cost savings, others are drawn to the promise of reduced capital expense and other people are looking to solve pressing IT issues. Kimberly Madia, product marketing manager for IBM big data, joined us to explain how cloud computing is enabling real-time analytics as a service, and what she sees developing in the area of “analytics everywhere.”

You can test out a free version of IBM InfoSphere Streams from ibm.co/streamqs and experiment with real-time analytics.

Follow Kimberly on Twitter @madiakc and follow our host, David Pittman, @TheSocialPitt.

For more information about the IBM big data platform and products, visit www.ibm.com/bigdataFor more podcasts, blogs, videos, infographics and other resources, visit www.IBMBigDataHub.com.

Big data in the Middle East and Africa

Length: 19:10
March 12, 2014

Ali Rebaie is an Independent Big Data Consultant, President at Data Aurora of Rebaie Analytics Group and one of the Top 100 Big Data Influencers. He aims at growing a community of data enthusiasts, spreading data skills and educating on the use of big data for public good in MEA region. Ali is a frequent speaker at international conferences and regularly trains on data journalism and visualization. He is also a member of the internationally renowned Boulder BI Brain Trust (BBBT).

In giving us a look at the big data market and use cases within the Middle East and Africa region, Ali reminds us of the 5000-year history behind big data, which effectively was born in Mesopotamia. In more present day scenarios, he describes “an exploratory curiosity sandbox,” which is a method he encourages data scientists and organizations adopt for approaching their data-related business problems.

Follow Ali on Twitter @AliRebaie, and the host David Pittman @TheSocialPitt

For more information about the IBM big data platform and products, visit www.ibm.com/bigdata.

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

How in-Hadoop analytics are changing the game

Length: 7:28
February 24, 2014

Big Data without analytics is just data, but how do you perform the analytics? Christy Maver, product marketing manager for InfoSphere BigInsights, answers that question and gives examples of how in-Hadoop analytics are changing the game.

For more information about the IBM big data platform and products, visit www.ibm.com/bigdata.

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

Data scientists: Hire an individual or team?

Length: 14:05
February 13, 2014

Most data science positions require a combination of technical and business skils. Gregory Piatetsky-Shapiro, the editor and publisher of KDnuggets.com, and a well-known expert in business analytics, data mining and data science, joined David Pittman to talk about that mix and the elusive “data scientist unicorn.” He also shared interesting findings from a poll he conducted on KDnuggets about what people look for when hiring data scientists. As his photo illustrates, he also demonstrated the evolution from data miners to data scientists.

For more information about the IBM big data platform and products, visit www.ibm.com/bigdata.

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

6 trends in big data and analytics

Length: 12:54
February 3, 2014

Through talking with some 3000 clients, prospects and industry leaders, Inhi Cho, the vice president and general manager of Big Data, Integration, & Governance at IBM, and her team have identified 6 important trends that are driving big data forward. Inhi joined us to talk about those market and technology forces:

  • “More analytics, fewer gut feelings.”
  • Data privacy and security
  • The rise of the Chief Data Officer
  • The ecosystem
  • Adding more external data to increase value of internal data
  • Where investments in big data are headed

Follow Inhi on Twitter: @inhicho

Follow podcast host David Pittman: @TheSocialPitt

For more information about the IBM big data platform and products, visit www.ibm.com/bigdata.

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

Foretelling 2014 trends in big data, Hadoop, data science & more

Length: 18:05
January 5, 2014

What's in store for big data, analytics and data science in 2014? Big data evangelist James Kobielus walks us through what he sees shaping up in those areas, plus cognitive computing, machine learning, Hadoop, NoSQL and more.

Listen here or read the blog post that spurred this podcast.

For more information about the IBM big data platform and products, visit www.ibm.com/bigdata.

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

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