Big Data
Turning data into information
© Copyright IBM Corporation 2007 Course materials may not be reproduced in whole or in part without the prior written permission of IBM.
4.0.3
Unit objectives
After completing this unit, you should be able to: Explain how Business and Data is correlated Discuss the concept of turning data into information Describe the relationships between DW, BI, and Data Insight Identify the components of a DW architecture Summarize the Insight requirements and goals of a business
© Copyright IBM Corporation 2007
Business and data
Business World
Data World
© Copyright IBM Corporation 2007
The challanges Customer Business Issues
Too much information and not knowing what’s important
– Not using demand signals to drive supply chain – Not using customer analysis to tailor marketing and sales – Not leveraging valuable unstructured information
Multiple versions of the truth
– Problems managing customer, product and partner interactions – Regulatory compliance inhibited by poor transparency
Lack of trusted information
– Incomplete, out-of-date, inaccurate, misinterpreted data – Difficult to understand or control how information is used
Lack of agility
– Inability to take advantage of opportunities for innovation – Escalating costs due to inflexible systems and changing needs
© Copyright IBM Corporation 2007
Data, Information, Insight
● ● ● ● ● Insights and context from the mind Requires reflection and synthesis Difficult to structure, capture on machines, and transfer Often tacit
Insight
Information
● Data endowed with relevance and purpose ● Need consensus on meaning ● Human mediation necessary
Data
● Discrete, objective facts about the world ● Easily structured and captured ● Easily transferred
© Copyright IBM Corporation 2007
Data
Data has in itself little semantic content: For example:
PRICE: US$ 20000
Data will have more meaning, when presented as a part of a structure
© Copyright IBM Corporation 2007 Course materials may not be reproduced in whole or in part without the prior written permission of IBM.
4.0.3
Unit objectives
After completing this unit, you should be able to: Explain how Business and Data is correlated Discuss the concept of turning data into information Describe the relationships between DW, BI, and Data Insight Identify the components of a DW architecture Summarize the Insight requirements and goals of a business
© Copyright IBM Corporation 2007
Business and data
Business World
Data World
© Copyright IBM Corporation 2007
The challanges Customer Business Issues
Too much information and not knowing what’s important
– Not using demand signals to drive supply chain – Not using customer analysis to tailor marketing and sales – Not leveraging valuable unstructured information
Multiple versions of the truth
– Problems managing customer, product and partner interactions – Regulatory compliance inhibited by poor transparency
Lack of trusted information
– Incomplete, out-of-date, inaccurate, misinterpreted data – Difficult to understand or control how information is used
Lack of agility
– Inability to take advantage of opportunities for innovation – Escalating costs due to inflexible systems and changing needs
© Copyright IBM Corporation 2007
Data, Information, Insight
● ● ● ● ● Insights and context from the mind Requires reflection and synthesis Difficult to structure, capture on machines, and transfer Often tacit
Insight
Information
● Data endowed with relevance and purpose ● Need consensus on meaning ● Human mediation necessary
Data
● Discrete, objective facts about the world ● Easily structured and captured ● Easily transferred
© Copyright IBM Corporation 2007
Data
Data has in itself little semantic content: For example:
PRICE: US$ 20000
Data will have more meaning, when presented as a part of a structure