How many business models are there

Based on the business scope of the enterprise, the business mode of the enterprise is divided into:

1. Single business mode single business, also known as specialization, refers to the enterprise is only in the field of a product design, production or sales, the scope of business is relatively single.

2. Diversified business model diversified business model is divided into three basic types of centralized diversified business, horizontal diversified business and mixed diversified business.

In addition, the enterprise operation mode is categorized according to the position of the enterprise in the industrial chain:

1. OEM enterprises act as suppliers to the downstream enterprises in the industrial chain, and process the products according to the customers' orders. In the market, they are sold under the signboards of other enterprises.

2. Design + sales enterprises are not involved in any business in the production field, but only responsible for design and sales. Enterprises in the market to design the products and services that customers need, and then look for the corresponding production OEM. It requires the enterprise to have strong design and sales ability, and have its own famous brand.

3. Production + sales type

4. Design + production + sales. This is a business model that involves many nodes in the industrial chain. Enterprises using this business model are characterized by their ability to develop new products.

5. Information service information service enterprises are usually consulting companies. This type of business or company is not involved in all manufacturing activities, but is closely related to manufacturing to a large extent.

Extended information:

In modern enterprises, business managers use e-commerce platforms to greatly improve the effectiveness and efficiency of traditional business activities, this business model has the following advantages over the traditional business model:

1. Expand the scope of the market and increase business opportunities.

2. Reduce transaction costs.

3. Reduce inventory. In order to cope with the unpredictable market demand, enterprises have to maintain a certain amount of product inventory, and because business managers do not grasp the market for raw materials, often maintain a certain amount of raw material inventory.

The root cause of inventory is poor information, based on information technology, e-commerce can change the enterprise decision-making information is not accurate, not timely.

4. Reduce the cost of enterprise management, without too much text information and files, reduce office supplies and labor costs, but also reduce the cost of communication.

5. Good communication with customers. Consumers can communicate directly with the enterprise contact, direct questions about products and services. At the same time, the enterprise with text, pictures, images to customers to show the content of products and services, explain and answer customer inquiries, so that the whole pre-sale and after-sale service timely and clear.

Enterprises can allow consumers to put forward their own requirements at a lower cost, and then provide targeted products and services according to different requirements.

Under e-commerce, enterprises can truly meet the different needs of each consumer, to meet the personalized needs of customers, not only increase the difficulty of other enterprises to enter, but also increase the sales rate and satisfaction of products and services. Realize the visualization of the entire supply chain, enterprise management information, the maximization of the overall benefits and minimize the cost of enterprise management, so as to realize the "win-win" between the enterprise and the customer, to achieve the purpose of enterprise management model innovation.

Business logic in the era of big data

Business logic in the era of big data

The so-called data mining (DataMining) is a way to analyze a large amount of information stored in the enterprise through the mathematical model to find out different customers or market segmentation, and to analyze the consumer preferences and behavior. According to technology research firm IDC, the size of global data is now doubling every two years. The accompanying dramatic changes are characterized by four V's. First, the volume of data. First, the volume of data (Volume) is huge, from the TB level jumped to the PB level; Second, the type of data (Variety) a variety of web logs, video, pictures, geographic location information and so on have become a new source of huge data. Third, the value (Value) density is low, to video, for example, continuous uninterrupted monitoring process, the useful data may be only one or two seconds. Fourth, the processing speed (Velocity) fast, "1 second law" and the traditional data mining technology is fundamentally different.

Clearly, the rise of "big data" has opened a new door for business.

It goes without saying that the data-driven way of thinking has been highly rewarding for many. For example, mega-retailers such as Wal-Mart have begun analyzing sales, pricing, and economics, demographics, and weather data to select the right products for the shelves in a given chain and to determine when to mark down merchandise based on those analyses, while shipping companies such as UPS are fine-tuning their shipping routes by analyzing data on truck delivery times and traffic patterns. Some social dating sites often scrutinize the profiles, responses and communications listed on their sites to improve their algorithms and provide better matches for men and women who want to date, while today's "big data" is taking a turn for the worse in terms of scale and scope: the Internet of Things, the cloud, the mobile Internet, the Internet of Cars, cell phones, tablets, PCs, and the global network of devices, Tablet PCs, PCs and sensors in all corners of the earth are not sources or carriers of data. They are all brought together by "data", which in turn becomes a new competitive area for enterprises to focus on for future value upgrading.

Erik Bruenolfsson, a professor of economics at MIT's Sloan School of Management, has compared the potential impact of "big data" to a "microscopic revolution in data measurement. In business, economics and other fields, decision-making will increasingly be based on data and analysis rather than experience and intuition. Data-driven management is spreading throughout the corporate world, and it's starting to pay off, the study says. "Companies that adopt a 'data-driven decision-making' model can increase their productivity by 5 to 6 percent, a productivity increase that is difficult to explain by other factors."

In the U.S. alone, it is reported that there is a talent shortage of 140,000 to 190,000 professionals with data analysis and management skills, as well as 1.5 million executives and analysts with the ability to understand and make decisions (based on the study of massive amounts of data). Analysis by the McKinsey Global Institute suggests that in order to fully utilize the potential of big data, businesses and policymakers must overcome the following challenges:

1. Make big data more accessible and more current. In manufacturing, integrating data from R&D, design and manufacturing units to drive parallel engineering can reduce time-to-market.

2. Use data and experimentation to reveal variability and improve performance. As organizations create and store more and more transactions digitally, they can gather more accurate and detailed performance information, including everything from product inventory to employee sick days.

3. Segmenting consumers and tailoring services. Massive amounts of data allow companies to create more finely categorized market segments and tailor services to better meet consumer needs.

4. Using automated algorithms to replace and support manual decision-making. Advanced analytic algorithms can greatly improve the efficiency and quality of decision-making, reduce risk, and uncover hidden, valuable insights.

5. Create new business models, products and services. To improve the development of next-generation products and create innovative after-sales services, manufacturers are capitalizing on the data gained from product usage. The availability of real-time location data has created a whole new range of location-based mobile services, from navigation to personal tracking.

To address these topics, this issue's cover focuses on the following key questions: In the age of data, where do new profits come from? What is the new business mindset in the era of big data? How to use "big data" to help social marketing? Traditional enterprises (such as corporate recruitment) how to borrow data technology to achieve the optimal allocation of resources and all of these issues come down to the same proposition: the era of big data, in the end, who can win, how to win?

Data is already in the driver's seat, and it's there, useful and valuable, and even sexy and stylish.

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Business logic in the age of big data

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How to make investors orgasmic with only 10 pages of the business plan PPT

1) summarize the company's investment in the highlights in one or two sentences. You should explain why your project/company is a great deal in the most compelling terms. Usually, you can be direct and concise about your solution or product that solves a major problem. In addition, it's best if you can mention some heavyweight names - such as heavyweight advisors, partners, well-known angel investors, etc.

2) In one or two sentences, describe the company's product or service and what problem it solves for the user. You need to clearly describe the current, or a major problem that will arise. What product or service does the company offer customers to solve this problem? Software, hardware, services, or a combination? Describe the company's product or service specifically, using common language. Don't use all sorts of jargon and such, which will only annoy the VC. In addition, if there is a customer is a well-known large companies, be sure to speak out;

3) with one or two sentences to clearly describe the company's business model - how to earn money? You need to clarify the company's position in the industry chain, value chain, who are the partners, why they want to cooperate with your company? If there is already revenue, how much? If not, when will it be?

4)Use one or two sentences to describe the company's industry, industry segments, huge market size, growth and driving factors, and a bright future. Don't use empty, broad statements to describe the market opportunity. Currently small but fast-growing markets can be more attractive than relatively large and stable markets;

5) Summarize the company's strengths relative to its competitors in one or two sentences. No matter what, you have competitors, or at least, you are competing with the products or service providers that your target customers are currently using. More often than not, you are facing some direct competitors. Don't try to convince VCs that you have a "first mover advantage", don't even think about it. Describe your company's goals and competitive advantages in positive, upbeat terms; VCs are looking for what you can do, not what others can't do. For example: "relative to Cisco's solution, our solution can";

6) Use a table to show the company's historical financial position and future financial projections. If it is a startup, the historical financial part can be omitted, but 3-5 years of financial forecasts, to be able to meet the VC's return on investment expectations. In addition, it is best to match the revenue drivers, such as customer growth. But if the financial projections are too outrageous, so that VCs do not believe it, all the work will be wasted;

7) one or two sentences to state the company's expectations for the current round of financing amount and mainly used to do what? This is usually the minimum amount of money needed to get the company to the next major stage of development. If VCs are willing to invest more, that's great.

8) Show the background and "accomplishments" of the entrepreneur and core management team in one or two sentences. Do not use some standard phrases, such as "CEO has 10 years of Internet, new media operation and management experience" and so on, but to be specific to "CTO was engaged in Intel 3 years of data storage research".