Big data Infographic

Deloitte. The Quick Reference Guide To Big Data and Data Analytics. The 3 V's of Big Data Big Data vs Data Analysis Data vs Big Data Variety (mixture of structured and unstructured data) Petabytes BIG DATA Traditional business information Data science and Big Data analytics •Sentiment D People to People - Social Networks •User generated content • GPS coords •Speech to text • SMS/MMS • HD Video •Mobile web • RFID •Social Networks WEB Terabytes Focus Focus 1890 • AB Test data • Search marketing • Funnels • Web logs • Offer history CRM 1965 People to Machine "what happened" "what will happen" Gigabytes The first Big Data Problem After a US Government Census was •Segmentation •Customer detail •Customer history ERP The first data centre carried out, all 60 million of the population needed to be counted manually Machine to Machine •Contact detail Megabytes Again, the US government needed a place to store 742 million tax returns and 175 million sets of fingerprints • Purchasing record • Payment record • Purchasing detail • Order history Data Data Herman Hollerith solved this problem with his Pantograph tabulating machine which relied on punched cards to denote data patterns which were then read, recorded and analysed by his machine. This cut census time down from 10 years to less than 24 months many diverse and uncorrelated data sets, prefers raw data and uses mindbendingly complex predictive models All of these records were transferred limited data sets, cleansed data Increasing Data Variety and Complexity and simple models to magnetic computer tape and stored on one big computer Velocity (needs to be analysed quickly) Types of Big Data Although this plan was aborted because of security concerns – this was for all intent and purpose the birth of the concept of a data centre 48 hourS of video uploaded to YouTube every minute Supports Supports correlation: by using multiple unrelated data sources, we've found a wonderful new insight we can't entirely explain Web and social media Data includes clickstream and interaction data from social media such as Facebook, Twitter, LinkedIn, and blogs ? 2 000 000 queries on Google every minute causation: what happened, and why do we think it happened? 1989 ? ? ? Machine-to-machine Data includes readings from sensors, meters, and other devices as part of the so-called "internet of things" The Birth of the World Wide Web 47 000 app downloads on iTunes every minute 1997 – 2001 At the time, the internet's inventor, Tim Brenners-Lee, could in no way Big Data is defined Doug Laney, described it as being a "three-dimensional data challenge increasing data volume, velocity and variety", a definition that has since become almost ubiquitous among industry experts today have been able to fathom the amount of data that is housed and accessed in Volume (large amounts of data) Big transaction data Includes healthcare claims, telecommunications call detail records (CDRS), and utility billing records that are increasingly available in semi-structured and unstructured formats of the internet on a daily basis Leading Question... How can companies capitalise on insights from "Big Data"? 2004 hadoop Monitor the flow, rather than a fixed supply, of data. Hadoop breathes life A Big Data tool that helps you actually understand your big data >3,500 >2,000 Europe Biometric Data includes fingerprints, genetics, handwriting, retinal scans, and similar types of data North America >400 Work with data scientists rather than data analysts. >200 Middle East Japan 250 Jndia Hadoop, interestingly named after a toy elephant, is a piece of open-source big data analysis software that powers entire search engines through to major international corporations Human-generated Data includes vast quantities of unstructured and semi-structured data such as call centre agents' notes, voice recordings, email, paper documents, surveys and electronic medical records Integrate analytics into core business and operational functions. >50 Latin America Areas where Big Data could be utilised What is i Amount of Big Data stored across the world (in petabytes) Follow @DeloitteTechSA on Twitter for more Big Data information and solutions Healthcare Big Data? potentially improve the level of healthcare whilst still increasing operating margins Data that is too large complex and dynamic for any conventional data tools to capture, store, manage and analyse. Government potentially reduce government operating costs Contact Deloitte Retail "For more information on Big Data and the effects it can have on your business keep watching out for more in-depth cloud data infographics." potentially increase retailers operating margins O 2012 Deloitte & Touche. All rights reserved. Manufacturing Member of Deloitte Touche Tohmatsu Limited. potentially cut operating costs (804992/den) www.Deloitte.co.za Sources: Hadoop.apache.org, wipro.com, capgemini.com