Big data
- 1. Big Data is the 21st century OIL
- 3. We are the one who creates meaning from structured/ unstructured data.
- 4. Our decision can be precisely WRONG even after efficient calculations on this huge amount of data.
- 6. Critical Thinking is an essential skill for handling this sea of data.
- 7. Make sure that the analyzed data is relevant to the solution of the problem
- 8. When Analytics overvalue one metric, we get the wrong insight deviating from the central idea.
- 10. Where and how can a manager use all these information? • For maintaining a very good culture at office a manager should focus on the bigger picture during a conflict • He has to consider the possibility that facts can mislead most of the time. • Hire people who are graduates of highly computational studies that involve mathematics in it. • Saving time using Data Science. • He should interlink most of the problems
- 11. • Interlinking problems would save a lot of time • Big data can be harnessed with the help of some technology For instance: • Technologies such as IBM Watson (Artificial Intelligence) would save a lot of time. • Be it a doctor, engineer, marketer, lawyer. AI can predict the possible outcomes giving us the Archimedes lever for making a decision.
- 12. • Structured big data can be used for analysis that would help us to predict the future or to resolve the past constraints. • A good manager should ignore the occurrence of an issue in the first place. • Sales forecasting, Productivity Metrics Reviewing, Effort estimation, financial Cost models constitute huge amount of data. • A manager should utilize all the technologies available till date for ensuring the quality of the deliverable.
- 13. • Organization Culture is extremely important for making it to thrive for a long time. • Professionals achieve their target easily with some assistance from a leader. People don’t actually quit companies. People quit their managers.
- 14. • Manager has to consider the possibility of chaos. • Only then it can be avoided or mitigated.
- 15. Big Data is not that big after all