What is Big Data?

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


Big Data Dimensions !!

Big Data and Search!

Database Big Data tools Search!


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

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

DATA TOOLS VALUE

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.

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

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.

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.

June 15, 2012

What is Big Data?

Technology

Transcript of What is Big Data?