As managers face a flood of data, it is very important that they effectively analyze and interpret the available data to make decisions. Plotting data will help them in their analysis and interpretation of raw data. The same is true for students in business programs. However, students in business programs (and managers) often do not see the importance of plotting data. This exercise presents a typical classroom scenario in which the professor of data visualization quotes statistician John W. Tukey to his students and tries to drive home the importance of plotting data. A representative student understands about presenting summary statistics and running some statistical tests, but questions the usefulness of plotting points as well. The professor must decide how to teach the class about the merits of plotting data. The professor gives the student an assignment with data and instructions, and tells the student to report the class the next day. The student is unaware that he has been given the Anscombe quartet, and he becomes convinced of the benefits of plotting data.
As managers face a flood of data, it is very important that they effectively analyze and interpret the available data to make decisions. Plotting data will help them in their analysis and interpretation of raw data. The same is true for students in business programs. However, students in business programs (and managers) often do not see the importance of plotting data. This case presents a typical classroom scenario in which the professor of data visualization quotes statistician John W. Tukey to his students and tries to drive home the importance of plotting data. A representative student understands about presenting summary statistics and running some statistical tests, but questions the usefulness of plotting points as well. The professor must decide how to teach the class about the merits of plotting data. The professor gives the student an assignment with data and instructions, and tells the student to report the class the next day. The student is unaware that he has been given the Anscombe quartet, and he becomes convinced of the benefits of plotting data.
Microcredit made a dramatic entry into the banking lexicon when Nobel laureate Muhammad Yunus ushered in a new era of social banking with his Grameen Bank. BASIX, the Indian replicator of the Nobel laureate's ideology, (albeit with a different methodology of livelihood promotion), had established itself as an effective microfinance institution (MFI) in India. It had successfully convinced the government of the need for, and feasibility of, setting up financial institutions such as "local banks" in rural areas to mobilize rural savings and provide meaningful livelihoods for the poor, especially women. KBSLAB, a local bank established by BASIX, had performed very well initially, but had reached a critical juncture in its journey in 2011. The Reserve Bank of India's (RBI) guidelines were similar for the commercial banks and the Local Area Banks in many aspects like the statutory liquidity ratio and the cash reserve ratio requirements. But the geographical restrictions on the local area banks were making it difficult to expand and meet the compliance and monitoring mechanisms. The case looks at the journey of this unique microfinance banking institution over a decade of its existence and contemplates its future. It raises questions about what actually plagues local area banks in general and KBS in particular, the justifiability of the RBI guidelines and the viability of microcredit banks in the future.