CASE STUDY 2

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CASE STUDY 2 : CHAPTER 6
DOES BIG DATA BRING BIG REWARDS

6.14 : Describe the kinds of “big data” collected by the organizations described in this case

›  > Discover hidden patterns in criminal activities

›  > Analyze consumer sentiment

›   > Adjust inventory and product prices

6.15 : List and describe the business intelligence technologies described in this case

>›  Implemented a solution consisting of IBM InfoSphereBigInsights software running on a high-performance IBM System x iDataPlex server.

>›  Analyzes information gleaned from a variety of databases.

›  Analyzes consumer sentiment.

>›  Using of Apache Hadoop and big data technology.

6.16 : why did companies described in this case   need to maintain and analyze big data ?

›  > Based data to determine the best spots to install their turbines .

› >  Using these technologies.

›  > Analyzing big data .

how much were they helped by analyzing big data ?

›  > Using Hadoop, the processing can be completed weekly.

›  > Hadoop processing is much less costly than conventional relational database.

>›  Hadoop is still an immature platform, and expertise is scare.

6.17: Identify 3 decisions that we improved by using big data?

>  makes it possible to quickly increase the amount of data analyzed without bringing down the system, or changing a line of code.

>  By using big data Sears Holding trying to get closer to its customer by program called Shop Your Way Rewards.

>  If the previous models we able to use 10percent of available data but using big data it able to work with 100persent and much less costly than conventional relation database

6.18 : Should all organizations try to analyze big data ?

>› build new applications
>realize new sourcesfor competitive advantage
> increase customer loyalty

What people , organization and technology issues should be addressed before a  company decides to work with big data ?

>›  Storage and Transport Issues 
> Management Issues
> Processing Issues

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