Browsing by Author "Agrawal, Minakshi"
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- ItemBig Data: evaluating the nature of data in Indian corporate(IIM-Bangalore, 2013-12) Agrawal, Minakshi; Pendse, Pradeep; Dhameja, RiteshData-driven decision-making is now being recognized broadly, and there is growing enthusiasm for the notion of "Big Data." Decisions that previously were based on guess work can now be made based on data itself. The Indian economy produces a constant stream of data that is being monitored and analyzed. There has been a tremendous explosion of Information amongst the Indian enterprises over the last few years. Notably in Indian organizations (across verticals like BFSI, Media & Entertainment, Telecommunications, and Government) at present have more than 100TB data. The research paper aims to study the amount of data stored by Indian corporate today along with their characteristics such as Size, Type and the rate at which the data is received. The research also focuses on identifying scope for Usage of Big data Technologies in Data Management in Corporate in India.
- ItemInformation Technology as an Business Enabler in MSMEs in India(Tirpude Institute of Management Education, 2015-01) Agrawal, Minakshi; Pendse, Pradeep
- ItemSoftware Tool for Supporting Ethnographic Research in Design and Innovation Projects in Management Education(IEEE, 2010-07-01) Agrawal, Minakshi; Agarwal, Anuja; Krishnamoorthy, Aparna; Pendse, PradeepIncreasing interest in Design/Ethnographic research in various domains including management education creates opportunities and challenges. One of them is the qualitative data of various types such as observations on sticky notes, photos, observation diaries, video clips etc. Where the volume of such qualitative data is small a designer can use simple visual clustering techniques to discover insights. However for large design research projects it could become unmanageable to say the least. The question arises if a software tool could be created which could support this process of mining insights. This paper aims at introducing such a software tool for supporting design/ethnographic research in management education. Such a software was developed and deployed for capturing observations about the lifestyle of the people living in villages with a view to understand their energy needs. The software helped capture qualitative and quantitative data from nearly 80 field researchers engaged in this research. Encouraged by this success, the software is being enhanced to become a generic tool for design/ethnographic research. The paper describes the challenges in managing design/ethnographic research data using the energy project as a case in point and the utility of the software for that project as well as the visualization of a more generic solution for design/ethnographic research.