
The page is a planning report for an e-business: not a data consultancy, but a platform where professional freelance analysts and firm clients, especially smaller firms, can meet. E-business, as the notes set it out, rests on internet and network infrastructure and computerises work that used to be done in older forms; email and an online invoice are the everyday examples. It eases limits of place, time, and geography.
In an era when customer and company information is quickly digitised, the firm’s core work is said to shift from physical logistics toward the exchange of information, and data — how it is gathered, how it is used — is treated as a coming source of competitive strength, beside big data and artificial intelligence, for plans, marketing, and the care of customers. Search and shopping trails on the internet are named as information a firm may need.
The proposed platform, once a site and an infrastructure are built, is described as relatively cheap to run, because the later work is mostly upkeep. A rating mechanism on both the freelancer and the firm is meant to keep the quality of the analysis up. Revenue is 15 percent of the whole transaction between the two, shared differently according to ratings and loyalty to the platform. Background reading cited in the report is from 2000 to 2003, and is left in those years, not recast as a later official picture of e-business.
Shop chrome is left unused.
E-business, the planning report says, has come forward as something distinct from older forms of business, on the back of information and communication technology. It rests on internet and network infrastructure, and computerises work a firm already did; email and an online invoice are named as ordinary examples. Limits of place, time, and geography are eased in a sharp way. As the era of e-business arrives, information about customers and about firms is digitised quickly, and the firm’s core activity, the notes say, shifts from physical logistics toward the exchange of information. With the rise of next-generation industries such as big data and artificial intelligence, data becomes a more important field for a firm, and how it is gathered and used is treated as a coming competitive strength — for a business plan, for marketing, and for the care of customers. Trails of search and shopping on the internet are also named as information a firm may need.
The model being offered is not an existing data consultancy. It is a platform where professional freelance analysts and firm clients can meet, and where analysis of online data can be provided. A platform business of this kind, the notes say, forms a space through a website and then builds the needed service and infrastructure; afterwards the work is mostly upkeep, so running costs can be relatively low. Two kinds of customer have to be secured: the freelancer and the firm, with smaller firms set as the main buyers. On the website people divide according to whether they will supply a data-analysis service or buy one.
A professional freelancer, the report argues, is not bound by one firm’s internal rules and can talk through an analysis more freely, according to the firm’s aims and preferences. Firms can compare prices and conditions, so competition can lead to a more reasonable fee. A freelancer’s work is rated, and that rating is tied to whether work continues, which is treated as a reason for stronger motivation and a deeper hold on the job. Both sides can also see market prices and terms on the platform, and so, the writer says, get past incomplete information. For a freelancer, running a business alone would mean higher costs and risk, and a hard hunt for clients; the platform is offered as a cheaper way to reach them. A freelancer looking for income can, in the notes’ sketch of a decision process, see on the platform who wants an analysis, and with what detail.
To keep the quality of the analysis up, a rating mechanism is introduced for freelancers and for firms alike, and the platform’s service level is to be watched through it. Revenue is 15 percent of the whole transaction between freelancer and firm client, and that fee is shared differently according to the ratings on both sides and to loyalty to the platform.
The report’s background reading is left in the years it was written. Park Dong-hyun and others, at the Science and Technology Policy Institute, on the spread of e-business and a change in industrial innovation, 2001; Hwang Jong-sung and others, at the National Computerization Agency, on related technology and a roadmap, 2001; the Korea Chamber of Commerce and Industry, on digital conversion and a firm’s e-business success strategy, 2003; and Park Hae-young, in the Korea Economic Daily of 1 March 2000, citing a Samsung Economic Research Institute report that success in e-business turns on differentiation. Those are sources from 2000 to 2003, not a later official picture of the field. The same Korean report, at fuller length, is on CampusDown.
Last updated: 14 November 2026
A platform where professional freelance data analysts and firm clients can meet. Smaller firms are set as the main buyers. People sign in on a website as suppliers or as buyers, and the platform’s job is to connect them in a growing data market, not to sell the analysis itself as a consulting house would.
Fifteen percent of the whole sum of a job between freelancer and firm, shared differently according to the ratings on both sides and to loyalty to the platform. A rating mechanism is introduced so that the level of the analysis can be watched. A freelancer’s rating is also tied to whether work continues, which the notes treat as a reason for stronger motivation.
A freelancer is not bound by one firm’s internal rules, and can talk through an analysis more freely. Firms can compare prices and conditions, so competition can lead to a more reasonable fee. Both sides can see market prices and terms, and so, the writer says, get past incomplete information. A freelancer can reach clients more cheaply than by starting a business alone. After the site and the infrastructure are built, running costs are described as relatively low, because the later work is mostly upkeep. Background sources from 2000 to 2003 are left in those years.
Refund policy