Whitepaper: Thriving in the Big Data era Manage Data before Data Manages you

Whitepaper: Thriving in the Big Data era Manage Data before Data Manages you

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  Thriving in theBig Data era Manage Data before Data Manages you
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  Every day, wecreate 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone. Data comes from everywhere and we are generating data more than ever before. This white paper will explain what Big Data is and provide practical examples, concluding with a message how to put data your data to work. PAPER OVERVIEW
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  This white paperis sponsored and presented by Intellectyx
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  What is BigData? Well, what is Big Data? Is it something big regarding data size? The term seems to be a bit of misnomer given the word "Big" seems to simply that the challenge is primarily in terms of data size. In short, Big Data applies to information that cannot be processed or analyzed using traditional processes or tools.
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  Let's review ona high level, the four Vs of Big Data - Velocity, Volume, Variety and Variability
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  Volume We are producingmore that Twitter users average over 100,000 tweets per minute, 2 million searches are performed in Google per minute, online shoppers spend an average of $272,070 every minute of slowing, the data keeps growing. The data is real and wherever they go – whether a hospital visit for pick up, shopping via an online ecommerce site for a loved one's birthday or broadcasting your mood via a social site.
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  Velocity In a realtime world, where everything is needed and actions happen in micro seconds, businesses are challenged more than ever before to consume, process streams of data and turn them into meaningful actions in a fraction of seconds.
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  Variety Companies are notonly generating high volumes of data faster but also storing in different types of format – such as images, text, and numbers.
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  Big Data isa big deal or big hype?
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  Big Data abig hype Before we further deep dive into Big Data, let's try to clarify one common question that revolves lately in the technology space around "Is Big Data a big hype?” Below is a Gartner's 2012 hype cycle, which purports to "highlight the common pattern of over enthusiasm, disillusionment and eventual realism that accompany each new technology and innovation".
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  Practical applications Fraud detectionin any sort of claim Social media analytics using twitter feeds, Facebook / blog posts etc Monitor efficiency and optimizes processes in Call centers Derive insights from a variety of healthcare data Drug manufacturers targets pharmaceutical testing for patients with specific genetic markers Improving marketing and sales performance through analytics Exploitation and fusion of geospatial, temporal and sensor data Customer experience optimization
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  Big Data solution? BigData solutions are ideal for analyzing not only raw unstructured data but also semi structured and unstructured from a wide variety of sources Big Data solutions are ideal when all or majority of data needs to be analyzed Big Data solutions are ideal for iterative and exploratory analysis when business measures are not determined Big Data solutions are not a replacement for a traditional data warehouse solutions Big Data is well suited for solving challenges that doesn't naturally fit within a traditional relational database approach
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  Conclusion
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  Conclusion Today a successfulcompany is not measured by the data that is produced or stored. Gone are the days where companies boast how much data is being stored or generated in terabytes or zettabytes. Today, really successful companies are determined by their ability to put data to work - meaning analyze data and generate valuable insights and optimize their actions based on those insights.
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  Download Whitepaper 600 17thStreet 2800 South, Denver, CO 80202, U.S.A. (720) 295 3513 [email protected] | www.Intellectyx.com