Reporter: Hello, everybody users are welcome to watch the forum part information 100. We are very pleased this issue part of the invitation to the north, the soft information and advice and training Mr. Cai, deputy director of Caiwen Hai, Director General Tsai is a senior information resource planning expert consultants, specializing in data planning and data standards development. Today we will talk about the subject of planning and management of data - to understand, plan and manage your data. Well first of all we have requested the Director General Tsai to do a simple self-introduction.
Cai Wenhai: you friends, Hello everybody, I Caiwen Hai, reporter Lee said earlier I was in the north of soft information and advice and training centers, mainly engaged in IT planning consulting work in the field I work in IT planning 10 years, the last two years served customers including China Southern Power Grid, China Guangdong Nuclear Power Group, the Government have the Shenzhen Municipal Finance Bureau, Environmental Protection Bureau, Hebei Province, some of the potential to do more, including 11 provincial departments, but also has 49 departments directly under Hengshui City, Hengshui The project is a pilot project, some of these projects focus on the data planning and data standardization, and some focused on information systems planning, and some on the enterprise IT architecture planning. I joined this forum today, hundreds of columns, realized a dream. I very much like to watch the CCTV program Lecture Room, where the fabric of the Road, by talking to their own benefit. At that time, thinking, when in the IT industry has such a program, today 100 forum program made me realize not only a dream, too personally involved, and personal understanding of Lecture part to share the experience should be a place where the exchange method. Here the first statement that the data today about the planning, management theory and experience on behalf of our family talk, I hope we in the data planning and management experience and approach can we be helpful in future work.
Reporter: With the constant progress in information technology, IT planning and corporate CIO is increasingly valued by managers, Shu Ju planning as part of IT planning is that people are gradually recognized and understood, data planning and management, how did one thing, I would like to may need to ask Director General Tsai entry to all of us to do some introduction to it.
Cai Wenhai: Let's first talk about IT planning, IT stands for Information Technology in English is that the meaning of information technology, we say IT planning, from the literal meaning of the word is understood in information technology planning, in the past we did IT in the business planning, business sector IT departments say it is a matter not involved in business, so business and IT on the often two skin conditions, business to do business planning, IT planning to do IT. If the IT plan for the information to understand the planning, with "transformation" to effectively integrate business and IT, we understand the information technology planning is a means of using information technology development and utilization of information resources (IT + IR Information resource), business management, IT planning is about meaning.
Information Plan is divided into three levels: strategic planning, architecture and planning, project-level implementation plan, we all know the most is strategic planning and project planning. Today should be said about the data plans are a part of architecture and planning, because it is more important, is the business enterprise and government data collection, storage, transmission and use of a plan.
Popular thing about the data plan is actually getting us ready to put data in the database into the database first, and then how to categorize, how to organize, store and use a planning. Another popular thing that give you an example, say we go to the library or bookstore, the database equivalent of a library or bookstore, where books can be said that the data or information. First, a bookstore, or regular people like you want to go, definitely need more full of books, and you need to know the needs of readers, to know different ages, different groups of people need is different, and to analyze the different consumer groups on the kind of demand for books (like the data plan to the business sector, like research, to know what they want, and then is the acquisition of books, similar to data management, data collection business. and then after that bought the book to be added to our right, on frame would not stack to get there on the line, probably a 2 they can even look through, but a number of words are not classified, not management certainly not, certainly should be on the books for the first partition, and then sub-frame, and then segregated, finalized library catalog to facilitate search, or developing an online bookstore, this is a management book. In fact, with this data plan similar to the strategy is like that of.
Speaking of data management, planning out some documents, programs and other results, data management is the result of data management planning. Data plan will be some standards, standard data elements, information classification and coding standards, data model standards. Management is in the planning stages of planning, results management, planning, the system construction to be carried out, because planning can not be changed, the construction phase may be changed, the need for appropriate management, systems built after the need to run, run on need to upgrade, also need to manage.
Reporter: After listening to Director General Tsai introduction, we plan on a certain understanding of the data, then present this information age, information resources, data, basically these concepts are familiar to our data with data planning, information resources information resource planning, data planning and information resource planning any difference between the two concepts and contacts?
Cai Wenhai: start with information, now we in the industry to information as a resource, information resource statement is to let everyone know that information is a resource, to instill into this idea, including the national level has made a number of documents, 04-year Shi Hou the Office issued a document No. 34, which is on the development and utilization of information resources the paper, and since provide more information after the resource planning. Now look, information resource planning and data planning both a lot of things are similar, all of the data structure, standardization, standardization, planning and management, in this sense, planning and information resource planning data is not much difference , but from the conceptual level of speaking, the data plan to be smaller.
Reporter: After listening to Director General Tsai talks, the data we have about planning and resource planning with the distinction between information and contact with some deeper understanding, we certainly want to know why the data for planning and management? Data planning how What value? Director General Tsai practice some of the actual cases or can give us some answers.
Cai Wenhai: Why the data plan? Fact, from the sense, the lack of uniform standards. Data Why confusion? Because information is a stage of development, business information needs of various departments are not the same time using the system are not the same, the first is the use of financial systems, to achieve financial information, Then is the human resources software system. Not the same as stage, no up to consider this whole matter, so they appear on their system, but later found they will not be integrated. Presentation of data plan, that is, from the data on the level of integration is a means, of course, there are terms from the application level integration, data plan to meet this demand is generated, is to eliminate islands of information, data sharing, etc. These point to consider.
In recent years, our data planning in practice, we should first find out the needs, find out the users and enterprises, the Government's needs, so we have to analyze the needs of business, place of business in the process of data analysis, data sort, collate the data over, the data from the database to find the essence of the design, so we should be modeling, focusing on data modeling, such as subject domain, it organized into a data field, the smallest unit we call data elements, so we will form a data model.
In practice, the most recent case is the China Southern Power Grid, the project name is Southern Power Grid Enterprise Information Resource Planning project, the main results of this project is to build a data model standard, basic data collection standards for information classification and coding standards for data center laid the foundation for the building. There is some government cases, from the data level planning, with emphasis on data standardization.
Reporter: As part of IT planning, data planning as far as I know does not seem like strategic planning, information systems planning by the people as "relish" and does not know the Director General Tsai how do you think of this problem? Is currently planning the development of data situation what is the situation?
Cai Wenhai: I just mentioned is called IT planning or information planning, information systems planning and strategic planning have you referred to, in fact, from the IT planning perspective, there is a noteworthy that IT architecture planning, IT architecture planning ranged between strategic planning and system planning, data planning, which are of a part of IT architecture and planning. Why do separately, because we do not attach importance to. We have more emphasis on the application of a reference system, we are more familiar, the user can see, but the analysis to the nature of time is actually more important data. In addition, the data highlight planning reason is because the users have data plans that need.
Reporter: You said that the concept of the database, generally speaking, people on the database level comparison of the data to understand more planning, but planning for enterprise-level data to understand the less, then the enterprise-level data for planning and database-level planning What is the difference between the two of them?
Cai Wenhai: data plan, is to narrow the terms of the final data results on the database, because the main result of the construction planning data model and data model is built based on the database. Database-level planning, we do software development, the first time, information system design is essential to do two things, one needs, one is data. Most of the database-level planning is based on information systems planning and proposed, as part of information systems planning. Enterprise-class enterprise data plan is a standing global point of view, are part of the IT architecture planning. However, IT architecture and planning can only be regarded as civil claims, formal corporate structure should be (Enterprise Architecture, EA), EA The methodology consists of four parts, with business architecture, data architecture, application architecture, infrastructure, after the three parts is just that the IT architecture. Enterprise architecture methodology used to make the relationship between business and IT with the interaction does not appear we have said before IT and business two-skin phenomenon.
Reporter: say so much, then the data specific to the planning and management of how planning is very clear we do not, there is the data plan is in the process of doing, there are some methodology to guide?
Cai Wenhai: data planning how to do it, I cited examples of China Southern Power Grid, also said the use of information resources and planning, there is another approach is to do it as a standard construction project is essentially in three phases, the first The first phase is the business analysis, business analysis is to collect business-related data, and then finishing the second stage is the modeling stage, is the standardization of data modeling phase, to classify and organize the information gathered to form a data models, the third stage is documented and the curing stage, called programming, is that some standard documents, such as China Southern Power Grid project is the two standards, a standard data model is a basic data set of standards as to publish corporate documents to require companies to carry out the various departments, also requires developers to follow to comply with.
The methodology of the famous U.S. scholar James. Martin argues that the concept of data planning, in the "Strategic Data Planning" and "Information Engineering" Both books mentioned at the time resolve the crisis the United States, data processing (data environment confusion), to eliminate island played a significant other effect. Therefore, the methodology of data planning is inevitable to follow Martin's theory, such as: strategic information planning, information engineering.
William also contribute in this regard is out of a "data management" of the book, he stressed that the IT world of information in our smallest unit of data is the data element, he and the chemical elements of Mendeleev table ideas very similar to the data elements constitute the basic form is similar to the chemical composition of chemical elements in the world of molecules, atoms and so on. William also stressed the importance of data elements.
In this regard there is a business architecture methodology, the current popular three, one is made Zachman Zachman framework that is EA's school of it, he also emphasized that business architecture, data architecture, application architecture and technical architecture, he the data structure defined as a core. And an open group (open group) structure of the framework of TOGAF, Zachman Framework as it is EA with a system, but it is the difference between Zachman also has a separate implementation of the methodology, the two methodologies may be in the business Comparison of more years in government and a methodology FEAF, the U.S. Federal Group FEAF, it is also the methodology based on architecture, which emphasized the reference model, a business reference model, the data reference model and technology reference model, services, reference model, as well as the performance reference model. Data is based on the methodology of planning to do the.
Reporter: Director General Tsai referred to the basis of information data standards, if standardization of enterprise data to do so where a few aspects should start?
Caiwen Hai: We now have some projects where the needs of users feel that their standard is made more confusing, data standardization program, it is more a process, a data standardization process, the state has implemented three standard stage of standardization of data is also divided into three phases, the first stage they called the business model stage, the second is the standardization phase, the equivalent of just said, modeling phase, standardization stage is what we want out of the standard, the standard look like, the third stage is the documentation phase, is the standardization phase of the document, the document curing stage.
The results of the standardization of data is just that the more important of the three criteria: information classification and coding, data elements, data model. Then our standard data elements what is it? On a book similar to our name, Issues, authors, publishers, etc., this is our concept of data elements. That our code is it? We can understand gender code: men, women and gender codes that do not look down, the national standard codes are four: 0129 unspecified nature, unknown, there are more male series F, F Code M and so on, which is the encoding of information classification. Data model framework is a framework, the more complex, it no longer is a start.
Reporter: Some say the data structure is the core of enterprise architecture, data architecture and data do not know what relationship planning? Just now you mentioned the concept of enterprise architecture, then this level in terms of enterprise architecture, then what is the value of the data and planning Meaning?
Cai Wenhai: just said enterprise architecture methodology, in fact, have data, they all stressed the importance of data, so the methodology of EA's dwell on the data be more, its data structure has several levels of stress, the concept of layer, logic layer, the more punishment to the fine if the end user need us more to adjust to. Planning has also said the data is in fact part of enterprise architecture, why is it singled out, is that it is more important for our attention. In the corporate structure, more popular with recent data on planning, information resource planning, architecture and planning, we compare these concepts, data planning> Information Resources Planning> Architecture Planning. Information resource planning did not include how to use technical means like, such as networks, switches, servers, how construction, architecture and planning have a technical framework, specifically about how kind to use the technology architecture to business architecture, data architecture and other services, at this level compared to mention more.
Reporter: You heard about the planning and structure of the data content, that your knowledge is very broad and rich, it would be north of soft information and advice and training center, in the field of information which is mainly involved in operational ?
Cai Wenhai: soft on the north, our team engaged in the field of information technology related to IT planning for many years, formed his own collection of a methodology, called PBORS methodology.
PBORS briefly about, P is the Planing, primarily planning, we can make e-government planning, business planning, are associated with IT planning. Business planning, including enterprise architecture planning, IT architecture and planning, strategic planning, as well as information systems planning, data planning and so on belong to this level, soft in these areas to the north a little more attention. In fact, we know that construction of enterprise information, IT planning is the leader, which is part of the beginning, we know that information has a life cycle characteristics, well-planned, with construction, operation and maintenance, etc. are. Planning finished, the result of a project that the project construction, project management, project building some of the ways. Then the operation and maintenance, operation and maintenance system in a ITIL, ISO20000 and other systems, the latter two areas in which we have with the appropriate service provider to cooperate. Here B is Building a project, O is the Operation, is the operation and maintenance, R is the Resources, Information Resources Management is now more emphasis on countries, we are one of the times it, from the national level, more emphasis on information resources management, we the data into the planning and management of information resources management in, which includes data management, knowledge management, information resources management. At this level, we actually have our own set of methods, including the just mentioned the management of metadata. S is Security, is safe, because the entire information technology, it is now more emphasis on security issues, recently leaked out of an information security issues, confidentiality of information are not pay enough attention. In information security, there is ISO2700 standard system and the protection of national registration, we are IT service provider with the relevant cooperation. We shall have barricaded this shelf, because we want to plan as the lead, pull an entire business information services, of course, can do this not once, but basically we are moving in this objective.
Reporter: Once again, thank Director General Tsai guest information Lecture part, gives us the data planning and management of knowledge and experience sharing.
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