Embed Size (px)
Citation preview
Thriving in the Big Data era Manage Data before Data Manages you
Every day, we create 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
This white paper is sponsored and presented by Intellectyx
What is Big Data?
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.
Let's review on a high level, the four Vs of Big Data - Velocity,
Volume, Variety and Variability
Volume
We are producing more 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.
Velocity
In a real time 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.
Variety
Companies are not only generating high volumes of data faster but also storing in different types of format – such as images, text, and numbers.
Big Data is a big deal or big hype?
Big Data a big 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".
Practical applications
Fraud detection in 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
Big Data solution?
Big Data 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
Conclusion
Conclusion
Today a successful company 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.
Download Whitepaper
600 17th Street 2800 South, Denver, CO 80202, U.S.A.(720) 295 [email protected] | www.Intellectyx.com
