Make data more human

1. Make data more human
NarasingaMoorthy V

2. Where can we find Data?
• Data can be found every where around us.
• It is up to us to utilize it in an effective way.
• Moreover, one can play with and research on a lot of data.
• Making it more human eases our way of understanding the complexity.

3. HyperCard:
• It was developed by Bill Atkinson who developed lot of useful computer
related stuff that we still use today.
• It is a program that can be used for developing other program according
to our need.
• Doesn’t it seem like the birth of Artificial Intelligence?
• Are we putting such tools to use?

5. Data Visualization:
• Several researches can be conducted on
human behavior to understand how we react
to different situations.
• Understanding data requires human
empathy along with some context.
• Thinking of data relating it to humans would
ease our comprehension.

6. Visualizing data is much more
of an art.

7. Data Analysis
• Using historical data to predict future is the most
important aspect of data science.
• Forecasting future events is the most complex problem
one can face.
• But when facts are used efficiently, all the vagueness
disappears.

9. How can a manager benefit from making the data more human?
 Work Culture
 Strategy
 Employee Retention
 Performance Optimization

10. Work Culture:
• Get feedbacks from the employees
every now and then.
• This would form a huge amount of data.
• Tracking them, evaluating them involves data science on it.
• Maintaining a good rapport with colleagues is very important.
• Start-up culture with a non superior model is a tradition.
• Figuring out the culture that has to be maintained and applying
them on the real time scenarios would require data science
intervention.

12. Employee Retention:
 Work culture is the main factor that has to be considered for
retention
 Company policies has to be modified according to the demand
basis.
 Counselors should be assigned to each and every employee for
advising them.
 Employees wish should be taken into account.
 Data Science will play a major role for evaluating feedbacks.

13. Performance Optimization
 Project Delivery time can be reduced by identifying time
wasted on deviation.
 Efficient way for figuring out a solution can be found out by
analyzing the data.
 Its hard to ignore data because of the advantages while
using it.
 Using Data Science efficient strategies can be framed after
thorough analysis on all the possibilities.

14. Strategy:
 Data can be used for predicting the future.
 Estimation of the upcoming events will become easy after
understanding data.
 Facts backed with data are more powerful and when analyzing
it provides invaluable insights.
 In fact, Data Science is a threat to the management consulting
industry