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GST 5083 - INFORMATION SYSTEM AND ELECTRONIC COMMERCE
MASTER OF BUSINESS ADMINISTRATIONMalaysian Graduate School of Entrepreneurship & BusinessUNIVERSITI MALAYSIA KELANTAN( UMK SARAWAK )
For organizations of all sizes, data management has shifted from an important competency to a critical differentiator that can determine market winners and has-beens. Fortune 1000 companies and government bodies are starting to benefit from the innovations of the web pioneers. These organizations are defining new initiatives and reevaluating existing strategies to examine how they can transform their businesses using Big Data. In the process, they are learning that Big Data is not a single technology, technique or initiative. 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. This data comes from everywhere: sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals to name a few. This data is big data, also refers to technologies and initiatives that involve data that is too diverse, fast-changing or massive for conventional technologies, skills and infra- structure to address efficiently. Said differently, the volume, velocity or variety of data is too great. Specifically, Big Data relates to data creation, storage, retrieval and analysis that is remarkable in terms of volume, velocity, and variety.
BIG DATA, BIG REWARDS
QUESTION 1, 2 & 3
1. Describe the kinds of big data collected by the organizations described in the case.
2. List and describe the business intelligence technologies described in this case.
3. Why did the company described in this case need to maintain and analyze big data? What business benefits did they obtain?
(1) BRITISH LIBRARY
Kind of Big Data
Collected
Business Intelligent Technology used
Business Benefit
Preserving website for historical purposes
IBM Bigsheets
-a cloud application used to perform ad-hoc analytics at web scale on structured and unstructured content-Help extract, annotate and visually analyze vase amount of data and delivering the result via a web browser-Laverages Apache Hadoop Framework and Map Reduce Technology – help the organization to handle huge quantities of data quickly and efficiently and extract an useful knowledge
Extract useful knowledge from such huge data which made responding quickly and efficient to user’s search and better services to their user thus increase customer
(2) NEW YORK POLICE DEPARTMENTKind of Big Data
CollectedBusiness Intelligent
Technology usedBusiness Benefit
• Hidden patterns in criminal activity (correlation between time, opportunity and organization) or non-obvious relationship between individuals and criminal organizations
• criminal complaints• National crime
records• Public records
Real Time Crime Center (RTCC)
• Centralized data hub that rapidly mines information from multiple crime databases and disseminates that information to officers in the field
• Crime Information Warehouse - contain data over 120 million criminal complaints, 31 million national crime record and 33 billion public records
• Support for more proactive policing tactics by virtue of an ability to see crime trends as they are happening
• Faster and higher rate of case-closing through more efficient gathering and analysis of crime-related data.
• Improved overall data integrity and speed of data access to optimize decision-making
(3) VESTAS
Kind of Big Data Collected
Business Intelligent Technology used
Business Benefit
• Location Data
• Wind Library – stores nearly 2.8 petabytes
• 178 parameter – barometric pressure, humidity, wind direction, temperature, wind velocity, other company historical data
IBM InfoSphere BigInsights running on IBM System x iDataPlex Server
-Manage and analyze weather and location data - reduce the base resolution of its wind data grid from 27x27 km area down to a 3x3 km (90% reduction) – immediate insight into potential location.
reducing data processing timeQuickly and accurately predict weather patterns at potential sites to increase turbine energy production.Save money – avoid from spent on repairing and replacing damaged turbine by the wind.Save time – the company forecast optimal turbine placement in 15 minutes instead of 3 week – enable customers to achieve a return on investment more quickly
(3) HERTZ
Kind of Big Data Collected
Business Intelligent Technology used
Business Benefit
• Customer related information (Web surveys, e-mails, text messages, website traffic patterns, and data location in 146 countries
Consumer Sentiment Data
Storing data centralized instead of within each branch
• Reducing time spent processing data
• Improving company response time to customer feedback
• able to determine that delays were occurring for returns in Phildelphia during specific time of the day
• Enhanced Hertz’s performance and increased customer satisfaction.
QUESTION 4
Meeting 3 – 11/05/2015
CASE 1 : BIG DATA, BIG REWARDS
Identify THREE DECISIONS that were improved by
using big data
QUESTION 5
Meeting 3 – 11/05/2015
CASE 1 : BIG DATA, BIG REWARDS
What KINDS OF ORGANIZATIONS are most likely to
need big data management and analytical tools? Why?
Organizations which responsible to score that huge information such as national library, registration department, income tax, banking institutions and so on because these organizations typically be a sources for government and the public.
Authorities organization such a police department, custom, immigration because they need to store a big data about criminals and also public to use for safety of the society.
Organization need the big data to predict the weather and location data, very useful for the companies to accurately make decision. Thus Vestas needed the data about location and wind to locate their turbines.
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