what is big data?
TRANSCRIPT
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WHAT IS BIG DATA ? Findability Day 2012, Stockholm 14th of June, by Daniel Ling and Magnus Ebbesson
© FINDWISE 2012
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BIG DATA by Findwise!!!• VOLUME
• Sift through the noise to identify the right data to improve business insight
• VELOCITY • Analyse more data in less time to facilitate faster more
responsive business decision making • VARIETY
• Identify, mine and capitalize on new data sources and integrate them with existing data for deeper insights
• VISUALIZATION • Present data in a meaningful and user friendly way to drive
better business decision across your organization
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Big Data Dimensions !!
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Big Data and Search!
Database Big Data tools Search!
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Findability Usage!
• Findability within Enterprise Content.
• Generic search, Intranets etc.
• Search within specific applica=ons.
• Applica=on may be desktop client, nische portal etc.
• Indexing and processing of internal and external data.
• Search and aggregate.
• Informa=on hubs.
• Big Data
Enterprise Search Application or Nische Info Hub and Big Data
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Why Big Data – because of growth?"""• An estimated 90% of the world’s data (from the WWW and
machine generated data from network nodes and applications)
has been created over the past two year
• The data is doubling every two years and global annual data
creation is set to leap from 1.2 zettabytes in 2012 to 35 zettabytes in 2020 (IDC’s2011 Digital Universe Report)
• Walmart handles more than 1 million customer transactions
every hour
• Every day, we create 2.5 quintillion bytes of data
• Unstructured information is growing 15 times the rate of
structured information
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DATA TOOLS VALUE
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Big Data strategy – extract business value"
• Data as an asset - evaluate how the right data strategy will make your business more agile, competitive and profitable
• Identify the business drivers in your data assets
• Start with a plan – understand the importance of devising a viable and workable roadmap for your big datajourney
• Clarify your priorities – determine where big data analysis is
most needed now in your organisation
• Planning future success – using insights from big data to increase the value of predictive analytics.
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Big Data strategy – choose the right tools"
• Define which technology strategy will enable scalable, accurate, and powerful analysis of the data
• Find out how to select the best big data solutions for your
specific business needs
• Discuss the key questions you need to be asking when evaluating technology partners
• Determine what you want to get out of your big data
investments and how to communicate this to potential vendors
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Use case: Insurance Industry"
• Analyzing both internal information in claims and databases, combining it with external data from social media and third
parties etc.
• Processing both structured and semi-structured data in large
scale to find patterns.
• Example 1: A prospective policyholder with numerous speeding
tickets is more likely than a safer driver to end up with a sports
injury.
• Example 2: Publicly available social data will be increasingly useful in helping insurers distinguish clients.
• Example 3: Mining Facebook and Twitter for promising sales leads, example: a woman proud of her pregnancy might want to
buy life insurance.
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Use case: Banking"• Analyzing the customers
transaction data,
enabling visualizing and
search on the big data
sets.
• Enriching the information: with geo
coordinates, transaction
category and other
metadata.
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June 15, 2012