Big Data

1. what are applicaiton areas of big data?

1.1. start with the Big Data issues and break it down to case studies

2. How and What informaiton can you really get out of all the social media tools? Marketing, consumer interest, what needs to be produced that it would directly impact on the production or production volume

3. what directly impacts the production line - practical success cases - and if they are true? what are people promising?

4. Grouping of case studies

4.1. cost saving

4.2. business processes

4.3. how it is implemented in a practical case

4.4. what is big data - 4Vs

4.5. ERP integration with social media tools

5. Big Data Promises & Expectionats

5.1. Cost Saving

5.2. benefits for companies

5.3. New Insights in Community Research

5.4. integration of IT Systems

5.5. Select case studies according the Big Theme Problems & Expections?

6. Covered Themes and Topics

6.1. Corporate Context

6.2. Relevant Technologies

6.2.1. Pattern recognition

6.2.2. Information Visualization

6.3. Philosophical Papers

6.4. Social Phenomena

6.5. Theoretical Concepts

7. Core questions of the paper

7.1. what is big data? - we can't make a definition of big data that others did not - we are not able to do that

7.2. Big Data as marketing tool or sales argument of services (e.g. selling potential) - what is fact and what is science fiction

7.3. what are issues of big data?

7.4. Business aspects

8. Paper - Structure

8.1. 3 Case Studies

8.1.1. Traffic

8.1.2. Social Media

8.1.3. Business

8.2. Big Data Promises

8.3. Big Data - Definitions

8.4. state of the art

8.5. Cross-Domain Applications

8.5.1. Social Media & BI Systems

8.5.2. Social Media & Traffic

8.5.3. Traffic & Business

8.6. Big Data Process design

8.7. Approach

8.7.1. 3 case studies - and then from there we go to the literature and then we pair the defintiion iwht hte use cases - what applies to all 3 use-cases as an example. Iteratively, and deductive approach

8.7.2. traditional use-cases from traditional big data applications. eventually use-case themes. 3 domains of applications. eventually gets to much split thematically if it is not focused the paper should be readable and understandable

9. how does the culture of information and data processing processing change when data is available in real-time?

10. social media and privacy issues, companies go to your private isolation. they attac you directly - wwhat is your information what you can prvoide

11. Velocity, Volume, Variety, Veracity

12. reality check of big data - where does it come from - what is fact and fiction? e.g. key-performance indicators

13. Cases

13.1. Traffic

13.2. Finance sector

13.3. Business

14. Problems & Missing Themes

14.1. Use Cases

14.2. In General: Lack of use case examples, other overview papers re-iterate prominent examples

14.3. What are the expections of the case studies/ Goals & Benefits of Big Data

15. How to approach the paper

15.1. starting by case-studies and continue with the details

15.2. Guiding Ideas for Paper

15.2.1. Show Use Cases "off the beaten tracks", beyond stereotypical landmark examples

16. DATA RELATED ISSUES

16.1. data quality

16.2. risk issues of big data

16.3. - what can you mesure? relating data accross systems, how does big data increase the potentials of errors (while combining unstructured data)

16.4. definition of big data - is it really due to big data? is it just a hype word? Where is the line between big and small data?

17. FASCINATION BIG DATA

17.1. definition of big data - is it really due to big data? is it just a hype word? Where is the line between big and small data?

17.2. practical cases & applicability of big data issues and how to improve peoples' daily lives

17.3. * tradition systems made transactions as e.g. orders as well as the information was structued like that. These are facts that are there. The data has happned and accroding this the future of a company has been made. But in reality the plan does not go like planned. in big Data you have a time-lag. Big Data is promising because of hte real-time facts. This is something what should really influence business processes from purchace, produciton, and processes.... and how social media information could be utilized

17.4. Big Data is not really new - the challenges where always there

17.5. in history there came things collected, but now things come in milliseconds, seconds, and at any time there. this makes it more challenging.

18. THE CULTURE AND CHAING SOCITY OF BIG DATA

18.1. real-time - acting it out now and narrow down the whcih consequences do these decissions have - and you see an immediate reaction, and then again an immediate connection, how does the system of behavior change? e.g. traffic

19. SYSTEM BEHAVIOR OF BIG DATA

19.1. Cybernetics

19.2. Neuro theory

19.3. "algorithmic regulation" (O'Reilly)

19.4. Case Study (eg. IBM Watson)