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

their turbines.