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.
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
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.
… Let’s this video telling u….
Again … this video have the answer….
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?
Kind of Big
Data
Collected
Business Intelligent Technology
usedBusiness 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
Kind of Big Data
Collected
Business 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
Kind of Big Data
Collected
Business Intelligent
Technology usedBusiness 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 time
Quickly 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
Kind of Big Data
Collected
Business Intelligent
Technology usedBusiness 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.
Meeting 3 – 11/05/2015
CASE 1 : BIG DATA, BIG REWARDS
Identify THREE DECISIONS that were improved by
using big data
Objective
Objective
Objective
Objective
Objective
Objective
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