Big data refers to large volumes of data that are too large and complex for traditional data processing systems. This type of data is being generated from various sources like mobile devices, social media, the internet of things, and more. Big data is important because analyzing it allows companies to gain valuable insights that can help them improve their products and services, make better decisions, and transform how they interact with customers. While big data technologies and tools are evolving, the core goal is still about using data to help solve problems in an objective way.

1. #DataTalkWhy Does Big Data Matter
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3. What is big data?
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“Big data is simply data that breaks
traditional architectures due to its sheer
volume, speed and variety.”
Jorge A. Lopez, Head of Big Data Product Marketing @zanilli
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5. Mobile devices, social media, the #IoT, smart devices
the digitalization of the world are all fueling big data.
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Tweet by Jorge Lopez @Zanilli
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We all leave footprints when we interact online
and leveraging these insights is what big data is all about.
Tweet by Kevin Busby @Experian_DA
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Big data is also about making better connections
and improving not only relations, but every aspect of life.
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Tweet by Jorge Lopez @Zanilli
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95% of companies feel driven to
turn data into insights.
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10. Why does big data matter?
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“Big data matters because it’s an
imperative not only to succeed, but
even just to compete.”
Jorge A. Lopez, Head of Big Data Product Marketing @zanilli
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“Big data transforms how
people and businesses interact.”
Kevin Busby, Vice President of Analytics & Product Management @Experian_DA
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Data alone is not enough. You need analytics,
you need algorithms and processing frameworks.
Tweet by Jorge Lopez @Zanilli
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Information is the oil of the 21st century
and analytics is the combustion engine.
Peter Sondergaard, SVP, Gartner Research

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It’s not really about big data. It’s about relevant data.
There are new tools & technology, but it’s still about problem solving.
Tweet by Kevin Busby @Experian_DA
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16. What do you wish more people
knew about big data?
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17. “Big data isn’t just for nerds
It’s about solving real problems using
data to guide objective decision-making.”
Mike Gross @MyGrossLife
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18. Not all big data is Hadoop.
There are also NoSQL, streaming, and
large MPP appliances.
Jorge A. Lopez, Head of Big Data Product Marketing @zanilli
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19. How can companies do a better
job of analyzing data faster?
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20. “Don’t let Hadoop become another
data silo within your organization.”
Kevin Busby, Vice President of Analytics & Product Management
@Experian_DA
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21. “Speed is important - but so is accuracy.
In other words, make sure you know what
problem you’re trying to solve with big
data.”
Kevin Busby, Vice President of Analytics & Product Management @Experian_DA
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22. After companies have made
investments to analyze data,
what are next steps?
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23. “Analyzing data is one thing - leveraging
it to drive transformational changes to
your business is really what’s critical.”
Kevin Busby, Vice President of Analytics & Product Management @Experian_DA
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