1. Strategy of big data
Submitted by: Lehar Karthik Student ID:

2. Contents Big Data Strategy Big Data Strategy Document
Turning strategy document into action
Required big data technology
Conclusion

3. Big data strategy
Big Data Success Starts with Strategy. big data strategy and methodology can move companies past these challenges like low trust of data, limited data driven decision making or to analyse the link to specific business problems.

4. Big data strategy benefits
Service improvement.
Accelerate innovation.
Business focused.
Helps in Effective decision making.
Uncover unnecessary overhead costs.

5. Critical Success Factors (CSFs)
Bus Strategy Document
Business Strategy
Business Initiatives
Outcomes
Critical Success Factors (CSFs)
Tasks
Data Source 1
Data Source 2
Data Source 3
Data Source …
Data Source n

6. Business Strategy document benefits
Identifies key data issues.
Analysing whata data is to be collected.
Prioritize the requirements.
Defines the tasks to be performed to achieve the strategic initiatives.
Guide for taking decisions.

7. Big data Strategy Document
Case Study: Premier HealthCare
Business Strategy: Data Aggregation and Analysis using Big Data
Business Initiatives: Usage of apt software in premises (Hadoop based solutions)
Evidence based insights, affective connection with alliances at different locations.
Outcomes: The size of the data being collected and analysed.
Staff at all the locations should be contacted and surveyed.
Provide training on the new system/framework.
Critical Success Factors (CSFs)
Delivering Information through a large health care system.
Analysis of fragmented data and combine that data.
Analyse performance and improve.
reduce cost.
Leverage data from thousands of organisations to impact own performance.
Tasks: Collect data from all the locations (all type and format of data from different alliances).
Traditional RDBMS could not handle the problem due to the type and volume of the data.
The uncertainty around ultimate analysis criteria, which can be tackled by Hadoop based solution.
This enables transformation of the raw data into reports etc. easily.
Correlations between employee’s usage pattern and attrition as well as productivity establishment.
Patient data
Website
Research data
Medical data
Employee interactions
Branch Database (including finance)

8. A cross-functional project lasting 9 to 12 months duration
Case Study: Premier HealthCare
Business Strategy: Data Aggregation and Analysis using Big Data
Business Initiatives: Usage of apt software in premises (Hadoop based solutions)
Evidence based insights, affective connection with alliances at different locations.
Title of the document that clearly defines the scope upon which the big data initiatives are focussed.
A cross-functional project lasting 9 to 12 months duration

9. Critical Success Factors (CSFs)
Outcomes: The size of the data being collected and analysed.
Staff at all the locations should be contacted and surveyed.
Provide training on the new system/framework.
Critical Success Factors (CSFs)
Delivering Information through a large health care system.
Analysis of fragmented data and combine that data.
Analyse performance and improve.
reduce cost.
Leverage data from thousands of organisations to impact own performance. .
Outcomes define the desired ideal end state.
Required for success of organization.

10. Employee interactions Branch Database (including finance)
Tasks: Collect data from all the locations (all type and format of data from different alliances).
Traditional RDBMS could not handle the problem due to the type and volume of the data.
The uncertainty around ultimate analysis criteria, which can be tackled by Hadoop based solution.
This enables transformation of the raw data into reports etc. easily.
Correlations between employee’s usage pattern and attrition as well as productivity establishment.
The key data sources required to support the business strategy which includes the study, research, massive data collection and survey.
Documented to execute to get success in targeted business initiatives.
Patient data
Website
Research data
Medical data
Employee interactions
Branch Database (including finance)

11. Challenges faced by premier healthcare alliances
Delivering information through a large healthcare system is a complex process.
The vast amount of data stored in different format across thousands of location makes accessing, sharing and analytics difficult.
High costs and increased likelihood of adverse medical events.

12. TECHNOLOGY FOR BIG DATA STRATEGY
Access and Manage data
Deploy and Integrate
Explore and Visualise
Analyse and Model

13. Source: Architecture and use case | padhmanaban durairaj

14. CONCLUSION
Therefore Using Hadoop technology, the defined strategy can be achieved which leads to:
Integration of the fragmented data.
Cost savings
Improves performance.
Affective data analysis.

15. REFERENCES
Case study[2013], David Pittman:
Aditan Tech [2013]
Book: Understanding How Data Powers Big Business, Schmarzo, Bill 2013, Wiley

16. Any Questions ?

17. Thank you !