A Leader’s Guide to Data Analytics
- 1. Interesting Insights From THE Article: A Leader’s Guide to Data Analytics Prince Barai
- 2. 2 1- Zettelmeyer depicted beautifully in the article that how thinking skills are more important in data analytics field compared to just technical skills.s
- 3. 3 2- Zettelmeyer also says that just thinking is not enough too we should know about it and be able to do what we want to implement.
- 4. Answer to Question 2:Facts to backup the Interesting insights that we got from the article and how they are relevent to a manager in india:
- 5. 5 We Don’t always rely on the data sometimes we have to think that we should consider the data or not ,point explained in depth in further slides
- 6. “For Point 1: Sometimes The data we have which is depicted as we got these from experiments may not be the result of any experiment and may be presented as they were results of experiment.6
- 7. In this case our thinking skill will help us to depict whether the experiment results are genuine or not otherwise doing analysis on such data can lead to bad results and ultimately bad analytics . 7
- 8. “You have to think about the generation of data as a strategic imperative”. Like all scientific inquiries, analytics needs to start with a question or problem in mind. 8
- 9. The points in the previous slide tells us that we need to collect the data in such a way that it helps us in solving our business problem ,we cant just go on and collect data without coming up with a structured plan to collect only the needful data which again proves thinking is very important in data anlaytics.9
- 10. 10 We cant just go for analysis of any data, understanding the data generation process is also important For example, some data reveal that promotional emails are extremely effective: the more emails a customer receives, the more purchases he makes. But here it is not shown that the company uses a marketing wisdom Reader’s Digest hit upon decades ago, which found that loyal customers— people who bought more recently, more frequently, and who spend more on purchases—are more likely to buy again when they are targeted. So rather than the number of emails driving the amount of sales, the causality actually works the other way, the more purchases customers make, the more emails they receive. Which means that the data are effectively useless for determining whether email drives revenue . This again proves thinking is very important before using technical skills.
- 11. For Point 2: Just Thinking is not enough too we should also know how to implement what we think. 11
- 12. There has to be a culture where you can’t get away with ‘thinking’ as opposed to ‘knowing and developing such culture in organisations is the biggest hurdle that a manager must find ways to overcome.
- 13. Thus as Zettelmeyer says “A working knowledge of data science can help you lead with confidence”. 13
- 14. “Thus at the end just want to say that a manager whom has the insights talked about in the presentation would be able to produce better results. 14
- 15. “Thus at the end just want to say that a manager whom has the insights talked about in the presentation would be able to produce better results. 15
- 16. 16 PRESENTED BY: PRINCE BARAI DATA ANALYST INTERN AT IIM,LUCKNOW