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Marketing intelligence systems

Some producers with which we are familiar have had marketing intelligence systems of this general type in operation for several years. Others have started in the past year or two. Generally, this centralized automatic or semiautomatic collection and correlation of detailed market information are relatively new practices in the chemical industry. Their use in the decade ahead should become much more widespread as the increasing size and complexity of the industry demand a more useful and reliable source of marketing information. [Pg.102]

In our own company we have found a centralized marketing intelligence system to be of particular help to us in operating as a part of the fast-moving plastics industry. After a three-year trial-and-error period, we have now developed a system of a semiannual compilation of a rather complete assortment of market information derived from reports prepared on approximately 1500 plastics processors and end users. [Pg.102]

Data collection itself in making measurements in electrode kinetics is relatively straightforward. There are a number of commercial systems that will carry out rudimentary data collection, such as those marketed by Solartron for impedance measurements, PAR for cyclic voltammetry and impedance measurements, BAS for cyclic voltammetry. The difficulty comes in designing a reasonably intelligent system that will deal with carrying out suitable experiments and cope with large amounts of accumulated data. The latter is not trivial and, in operational terms, is more important than the first. [Pg.455]

Data available from past ejq)erience can be used to generate frequency distribution curves. It is essential for a company to have an efficient commercial-intelligence system to assess market conditions. [Pg.825]

Haroonabadi, H., Haghifam, M., 2009. Generation reliability evaluation in power markets using Monte Carlo simulation and neural networks. In 15th International Conf. on Intelligent Systems Applications to Power Systems, Curitiba. lEC 61025. Fault Tree Analysis (FTA). International Electrotechnical Commission. [Pg.92]

Above all demand is the crucial issue, and as future demand can never be certain there should be a formal mechanism of forecasting using the best combination of historical models, past results from promotions, data from customers and market intelligence. Likewise, the inventory data system has to be up-to-date and accurate with details of raw materials (RW) on hand, goods on order, lead times and finished goods on hand. [Pg.317]

Information systems development and control Gathering market intelligence... [Pg.184]

As a best practice, only ask for what you really need. And if you have marketing automation, you can employ progressive profiling. That way, your website can intelligently know what information your visitor already filled out. For instance, if he already gave you his name, email address, and title, this information Ccm be retained in your marketing automation system. The next time he fills out a form, you can ask for company, industry, phone number, and so on. [Pg.113]

Many marketing automation systems, such cis Marketo, provide sales intelligence in a simple dashboard format for applications made for CRM systems such as Salesforce and Microsoft Dynamics CRM. [Pg.278]

Household appliances make up one of the largest markets for electrotechnical and electronic products. While comparatively simple versions of sensors and microsystem products, such as temperature sensors or level sensors, have long been used in household appliances, new and improved sensors conquer the market at a breathtaking rate. The way modern sensors with intelligent control systems are used is one of the main distinguishing features between the various products and companies. [Pg.1]

Controlled drug delivery, membrane technology in, 15 847-848 Controlled drug release formulations (CDRFs), 9 51, 55 polymers in, 9 71-73 Controlled drug release systems, 9 50-51 design, 9 51-52 development, 9 55-57 intelligent, 9 56-57 in market, 9 83—85... [Pg.214]

Expert systems represent a branch of artificial intelligence that has received enormous publicity in the last two to three years. Many companies have been formed to produce computer software for what is predicted to be a substantial market. This paper describes what is meant by the term expert system and the kinds of problems that currently appear amenable to solution by such systems. The physical sciences and engineering disciplines are areas for application that are receiving considerable attention. The reasons for this and several examples of recent applications are discussed. The synergism of scientists and engineers with machines supporting expert systems has important implications for the conduct of chemical research in the future some of these implications are described. [Pg.2]

Most DCS were, and still are, being sold to refineries and chemical plants where the distances involved and the environment do not require microwave communication. Responding to the market demand, few manufacturers were interested in developing the technique. Such systems that were available were, quite naturally, configured around the concept of closed loop control at the PCM level. Consequently, none of them could compete with the SCADA system in terms of numbers of data acquisition points. Alternatively, none of the SCADA system manufacturers could provide a sufficiently intelligent remote unit to execute closed loop control. [Pg.61]

Now it is becoming a very realistic part of our research because it has become apparent that there are fewer and fewer new pesticides coming into the market. We must literally look at how we can get basic principles back into the system in terms of control and save some of the pesticide chemicals we have. We feel that we are in danger of losing a major part of them, and we cannot afford that. Wise use practices and intelligent assessment of the risks of pesticide use will permit us to prolong their life. Research is essential to achieve this. [Pg.173]

Today SAS are being increasingly used in passenger cars and trucks in Europe. Other markets are following, and SAS will be used in cars for intelligent electronic control and assistance systems such as the following. [Pg.428]

These markets for chemical and biosensors will also drive further refinements and improvements in sensor design and performance. Within the next decade, chemical and biosensor fabrication and mass production will become as reliable and cost efficient as cunent production of physical sensors and will result in products which are faster responding, smaller, simpler to use, durable, and relatively inexpensive. With the addition of artificial intelligence and integration into more complex software systems, chemical and biosensors will also become smarter with capabilities applicable to almost any sensing and measurement need. [Pg.566]


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