Components of Commercial Value Chain
February 12, 2025
The Paradigm Shift Needed as the World Transitions from Analogue to Digital Information Security and Data Protection are central to any organization’s tech policies and more so, when Digitalization happens, as then the whole organizational processes and methodologies are entirely virtual making them more vulnerable to Data Theft. Indeed, having effective Information Security and Data […]
Enter Low and Middle End Segments of the Market It has been found that many multinationals find their sweet spot in emerging markets when they cater to the lower and the middle end of the market segments. In other words contrary to popular perception, multinationals find that selling to these segments is much better than […]
Measurement Systems Analysis is a complicated exercise. However, Six Sigma provides a step by step procedure to conduct it. Also, as usual, the focus of the executives should be to understand the focus of the exercise and interpretation of the results. The complex calculations can be performed by software. Here is the 4 step procedure. […]
In a computer spare parts supply chain, usually the network consists of the country depot that stocks all the parts required to support the field. The number of parts in such depots run very high depending upon the volume of sales and can range from 15000 SKUs to 35000 SKUs, depending upon the model and […]
April 10th is considered to be “Equal Pay” day all over the world. This day has been commemorated since the year 1996 to remind the world that women are allegedly being paid less than men to do the same amount of work. As per the data from Facebook COO’s non-profit organization, women only receive 80% […]
The word analytics has come into the foreground in last decade or so. The proliferation of the internet and information technology has made analytics very relevant in the current age.
Analytics is a field which combines data, information technology, statistical analysis, quantitative methods and computer-based models into one. This all are combined to provide decision makers all the possible scenarios to make a well thought and researched decision. The computer-based model ensures that decision makers are able to see performance of decision under various scenarios.
Business analytics has a wide range of application from customer relationship management, financial management, and marketing, supply-chain management, human-resource management, pricing and even in sports through team game strategies.
Business analytics has been existence since very long time and has evolved with availability of newer and better technologies. It has its roots in operations research, which was extensively used during World War II. Operations research was an analytical way to look at data to conduct military operations. Over a period of time, this technique started getting utilized for business. Here operation’s research evolved into management science. Again, basis for management science remained same as operation research in data, decision making models, etc.
As the economies started developing and companies became more and more competitive, management science evolved into business intelligence, decision support systems and into PC software.
Business analytics has a wide range of application and usages. It can be used for descriptive analysis in which data is utilized to understand past and present situation. This kind of descriptive analysis is used to asses’ current market position of the company and effectiveness of previous business decision.
It is used for predictive analysis, which is typical used to asses’ previous business performance.
Business analytics is also used for prescriptive analysis, which is utilized to formulate optimization techniques for stronger business performance.
For example, business analytics is used to determine pricing of various products in a departmental store based past and present set of information.
Business analytics uses data from three sources for construction of the business model. It uses business data such as annual reports, financial ratios, marketing research, etc. It uses the database which contains various computer files and information coming from data analysis.
Business analytics can be possible only on large volume of data. It is sometime difficult obtain large volume of data and not question its integrity.
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