This article combed through the articles and briefly summarized each chapter to help you read and review them efficiently. It also provides an overview of digital analytics as a whole, which is expected to better demonstrate its status and role.
This article briefly describes the relationship between business analytics skills and business school learning, and one of the most profound experiences has been the use of the Harvard Analytics Framework to complete financial management assignments. This included a strategic analysis of the company, an accounting analysis, a financial analysis, and a prospect analysis. For me, such a process was both challenging and very rewarding.
This article further explores the role of financial management as an introduction to business numerical analysis, and suggests that such an introduction should be achieved through real-world training, and should be honed and used repeatedly in daily work, so that it becomes instinctive and integrated into our thinking and actions. He shared his experience and thoughts on participating in the Sina Manager Contest.
This article utilizes digital analysis to grasp the key elements of business and see through to their essence. Such analysis stems from financial statements, which create the initial static framework and initial portrait for us. The numbers themselves are the result of simplification, and when combined with management reports, it is easier to build a picture of the industry and the company. The article analyzes the business composition and profit composition with a few simple charts and illustrates the relationship between balancing assets and core competencies.
Business analysis is not limited to the materials provided by the reports, but we get close to the real materials to reshape the portrait through observation, participation, and research methods to make it flesh and blood gradually.
In this section, we start with a thrilling story of how to discover the truths and lies of business, to explore a company's room for growth, and to consider how you can build a relationship with a company. Brake the turnaround before a mistake is made.
In this section we take a look at a traditional company in the prosaic, to experience, to think, where is the ceiling of the company? Where is the ceiling for your own development? To consider how they use a company to realize their own career development. Only with a comprehensive understanding of a company can we have a clear understanding of business.
There are a lot of simple, repetitive things in life, and at work, too, and digitizing statistics is a fun and rewarding thing to do. For a slightly more complex, multi-part thing, probability plays a crucial role when we have a problem and need to locate the problem. This probability is a process of gradual approximation, dynamic adjustment, which has both a quantitative statistical component and a weighting component brought about by the impact of events.
In business, there are very few examples of things being exactly the same and simply repeating themselves. However, within industries, the key components of a typical company are extremely ****common, and in addition cross-industry comparative analyses are more likely to have typical elements within the industry. This opens up statistical possibilities for business analytics, where results may come faster and more directly with the help of software tools.
In terms of case studies, we often use financial analysis methods, including gross margin, net profit margin, asset turnover, inventory turnover, and so on a series of ratio analysis methods, assets, liabilities, profits, costs, business, regional and other components of the analysis method. Statement analysis in finance is a very sharp tool that allows us to see clearly the relationship between the core essence of business assets and cash and profits.
In addition to this, year-on-year analyses can also be done using years of data, and these analyses can also be very helpful in trend setting. When we look at a sample for a long enough period of time, we are likely to know it well enough.
However, the financial statements alone are not enough for us to have a deeper and more detailed understanding of the overall operation of a company, because the numbers themselves do not reflect the operating mechanism in reality; they are just the result of the operation, or even most of the time artificially created. This requires us to combine the analysis of the numbers with the reality of the organization and the actual situation of the business to study.
Effective learning requires both breadth, with exposure to repetitive events, and depth, with exposure to events with a clear hierarchical structure. There will be a lot of cases around us presented to us, but often the background of these cases is more scattered, but also lacks a certain depth of material, sometimes presenting more financial statement data, but by the lack of an outline of the management report, it is easy to get lost in the sea of data. Many small and medium-sized companies have fewer management reports to draw on, and can focus on drawing on the relevant reports of benchmark companies in the industry.
The content of digital analytics, for the time being, to write here, welcome criticism and suggestions. The following will continue to explore around the center of business analytics, so stay tuned.