TSG Hoffenheim Football in the Age of Analytics Case Solution And Analysis, HBR Case Study Solution & Analysis of Harvard Case Studies

TSG Hoffenheim Football in the Age of Analytics Case Solution

Data analytics:

Decision making is considered as an intellectual process resulting in the collection of a certainty or a sequence of action among several alternative possibilities.
Data analytics is complementary for the organization for it to provide final decision accurately and to reduce any uncertainty.
Furthermore, it is the procedure of investigative large information circles to discover hidden patterns, unknown correlations, market movements, players’ preferences and other useful corporate evidence.
Moreover, the data analytics gathered the information that was used towards decision-making and to find the possible alternatives, which could provide positive results
The analytical finding could lead towards the organization being effective and consistent, which would further lead to more opportunities of generating revenue, better customer facilities, better-quality working effectiveness, competitive compensations over competitors and other benefits.
Moreover, it is expected that Data analytics work on semi-structured and unstructured data that may not fit well in traditional information ware houses based on interpersonal catalogues. Furthermore, the warehouses might not be able to handle the processing demands.
Moreover, the data analytics could be analyzed with the software tools commonly used as a part of advanced analytics disciplines like projecting analytics, information mining, writing analytics and statistical analysis.
It was identified that Data analytics is complementary for institution-based decision making because it conducts various steps, which are helpful for the teams to assist the current position and performance.
It is expected that the use of complementary decision is the use of unproven intervention by teams in conjunction with, or in place of, traditional or conventional means of treatment.

Money ball Approach.

It is identified that the fundamental principle of Money ball could work in football if applied to the game, as it is about getting the balance right.
Money all is not considered as successful in football because the performance is not same in all matches and inevery next game,as the players had reduced the average age of the square.
Moreover, it is identified that Money ball strategies are a subset of analytics, but these are not equivalent to that extent in the soccer analytics community which make synonymous analytics with Money ball.
Furthermore, it is determined that Money ball is used to identify cheap, efficient capacity in baseball in which one player's performance is less reliant on his teammate's performances, and therefore the statistics a baseball player are much better reflection of his value.
Moreover, it is identified as the application of numerical examination in identification of capacity affording to their strength and weaknesses for various roles, rather than relying on visual observation...............................
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