Big Data Ecosystem

Big Data & Company Strategy Framework
Big Data Landscape
SWAI Model of Data Processing
Big Data Ecosystem

Experimentation - Companies treat questions as
a hypothesis and use scientific methods to verify
them.
Objective is to find patterns that managers might
not have previously thought of
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Performance Management
Performance management involves
understanding the meaning of big data in
company databases using pre-determined
queries and multidimensional analysis
Business intelligence tools such as Oracle
CRM or Sales Force could be useful
Get Multiple perpectives such as HR,
marketing, sales, customer service, and
manufacturing data
Key Challenge –Quality and completeness of
collected data. Integration of different type of
data to get a complete picture

Radian 6
Leading Social Media Monitoring Platform
Radian6 is used by more than half of the FORTUNE
100 and companies like AAA, Dell, GE, Kodak,
Molson Coors, Pepsico, and UPS to monitor, analyze
and engage in social media conversations
Radian6’s unique technology monitors hundreds of
millions of conversations every day across Facebook,
Twitter, YouTube, blogs and online communities,
delivering insights in real-time
https://www.youtube.com/watch?v=8i6Exg3Urg0
https://www.youtube.com/watch?v=h-KNVCp8Yr0

Decision Sciences
Decision science involves experiments and
analysis of non-transactional data, such as
consumer-generated product ideas and product
reviews, to improve the decision-making process.
Unlike social analyzers who focus on social
analytics to measure known objectives, decision
scientists explore social big data as a way to
conduct “field research” and to test hypotheses.
Text & Sentiment analyses

Big data landscape

Hardware providers: Big Data software runs on both
commodity disks and flash/SSD.
Services providers: help with both strategy and
implementation of Big Data solutions
Cloud providers, offering public, private, or hybrid
clouds
Enterprise Data Warehouse (EDW) vendors:
traditional EDW vendors and the relational databases
that typically sit on top of them.
Data Integration vendors sell the tools that assist in
getting data into Hadoop or Scale-Out databases.
Hadoop vendors: license commercial distributions of
the Hadoop and related Apache projects, and sell
support services.

Technology Providers
Companies found that will have to first build core
technologies to fuel and support the Big Data
infrastructures. This gave rise to the domain of
Technology Providers.
Due to lack of capabilities of RDBMS (Relational
Database Management Systems) to handle
unstructured, the solutions offered by these
players use nodal structures, massive parallel
processing etc.
Hadoop, No SQL

SWAI model of data processing

1. Sources of Data - Internal
The vehicles are equipped with several radar
and measurement systems, a camera and a
GPS-receiver.
Light-Detection-and-Ranging-System (short:
LiDAR)
For measuring distances and speed
By using laser beams the system creates an
intelligent and detailed 3D map of the surrounding
area in high resolution
Customer Information such as Driving Habits
& Preferred locations

All structured data that can be assigned to a
specific vehicle including tank and oil level,
sensor data for distance measurement, light
identification and identification of objects and
information about the wear of the vehicle are
processed in the local-vehicle hardware
Unstructured data like social media data can
be stored and processed on different servers
in the cloud.

4. Insights
This is the final and context based stage
This is where the insights from the data are
obtained and visualized-
Report cards
Visual Maps
Presentations
Data on driving behavior
Insurance companies could get insights about the
risk

1
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Big Data Ecosystem

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