Business Analytics Case Solution And Analysis, HBR Case Study Solution & Analysis of Harvard Case Studies

Introduction

The field of Business analytic had improved significantly, providing the business users with clear insights, particularly from operational data stored in transaction system. Business analytics help an organization to develop a potential scenario in which they need to respond to bring change and implement new strategies. Moreover, business analytics create balance between the need for immediate value and competitive advantage. The more competitive organizations are experienced in analytics; as they go far beyond the traditional user baseline.

Business analytics provide advantages throughout all functional and departmental levels of the organization. Furthermore, the business analytics are used to gain insights that inform business decisions and used to automate and optimize the business processes. The data usage of the business include, exploring and initiating data to find new patterns and relationship, experimenting to test previous decisions, future results forecasting, and explaining why certain data result occurred.

Business analyst in Stock Market

This case examines how the stock market works; takes control and actively manages the big data. The modern era comprises of online brokerage and super-fast connections of both wireless and wired. The level of connectedness among the peers generates a huge database by providing a new ways of consumption of data and ever-easier means of gathering the large amount of public data from various on and offline resources, including tweets, posts, blogs, web documents and news feeds. With the use of big data, companies and internet portals are offering free financial data on every public traded company. The survey is conducted in order to gain basic knowledge of how stock exchange uses vast data. Therefore, some of the techniques which help the stock market to gain profit from big data are examined.

The first technique is to make money from market mood. The large companies such as, fact set, Capital IQ and CRSP provide data and datasets for large amount of investment. It is difficult for average retail investor to invest with little amount and predict the future profit. It is surveyed that there was a great gold rush during 2000 to 2010 across the entire world, in this period the basic investor opinion is to purchase gold or gold bullish arises. However, the fluctuation in Gold prices leads to the fluctuation in big data. In order to survive in stock market, the average retailer should gain knowledge about the price fluctuation in stock market and manage their retirement portfolio.

The second technique is the use of social media to predict data. The social media websites help the financial investors to scan resources and content for the mood of the market. The majority of people are engaged in social media website such as Twitter, Facebook, YouTube, Stock wits, and LinkedIn. Datashift.com allows anyone to input data from social media website, sources and output data to app or tool that you can choose. These websites help to gain more knowledge and help in managing big data. This can be useful as by building you own trading algorithm based on market sentiment from big data.

The third technique is to market segment trading platform. The hedge funds and other trading investors with large amount of capital have already started mining through the social media website and analysis the stock market trends. The hedge fund company developed a trading platform known as DMC traders’ user interface which allows the retail investors to review the market sentiments and build their own market sentiment of overall trading market or individual equities they choose.

The purpose of this study is to manage the big data effectively, and use different techniques or tools to manage stick market data and retirement portfolio. The knowledge about the big data is very important in order to gain more profit. Another purpose of this study is to allow the average retail investors to begin to take control of their financial future and use the same techniques, which the hedge funds, banks and large companies use to make money by analysis the big data from the market stock..............

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