How Restaurants, Retailers & Manufacturers May Utilize Customer Opinion

Knowledgable Management: Who, What, Why, When, Where, and How?

A. WEB Service Market Niche - This subscription fee WEB Service targets Businesses wanting feedback about their service or product quality. Provides business management with customer opinions regarding their quality of service or products and provides a comparison with existing business quality control tools. This service includes demographic feedback spanning local, regional, or nationwide coverage opinion reporting. Similarly, demographic data reporting can be provided on competitive products or service quality among other future WEB services.

B. Overview – Our WEB service contains a vast warehouse of customer opinions on service and product oriented businesses; such as Restaurants, Dealers, or Manufacturers. Our Data mining WEB service organizes and filters from an enormous database by analyzing data from different sources or perspectives and summarizes it into useful decision making information for our business WEB subscribers, including the analysis of competitive products and services. Data mining software is one of a number of analytical tools for analyzing data. It allows our subscribers to analyze data from different dimensions or angles, categorize it, and summarize the relationships identified. Technically, data mining is the process of finding correlations or patterns among many fields in large relational databases.

                        1.       Continuous Innovation - Although data mining is a relatively new internet term, the technology is not.
                  Companies have used computers to analyze volumes of available data producing market research
                  reports. Continuous innovations in computer processing power, disk storage, and statistical software
                  dramatically increase the accuracy of analysis while driving down the cost.

                 a.      For example, one restaurant chain could use our data mining software to analyze local,
                       regional, or nation wide service patterns. Negative customer opinion information at
                      a local level can reveal management or staff related problems at one location. This same
                      restaurant used its competitor customer opinions to analyze customer acceptance of
                      a new restaurant offering.

C.     Data, Information, and Knowledge

                        1.       Data – Any data store (dataset) containing facts, text, or numbers can be processed by a computer.
                  Today, PRN is accumulating vast and growing amounts of data in different formats and different
                  databases on just about any subject matter. This includes:

                  a.       Quality-of-Service, operational, or transactional data such as, customer unsolicited opinion,
                         customer surveys, sales, cost, inventory, payroll, or accounting.

                  b.       Meta data - data about the data itself, such as logical database design, data dictionary definitions,
                        or today’s public social network datasets.

                 c.       Nonoperational data, such as industry sales, forecast data, and macro economic data.

                        2.       Information - The patterns, associations, or relationships among all this data can provide information.
                  For example, analysis of customer opinion, or analysis of surveys, or analysis of retail point of sale
                  transaction data can yield information on customer satisfaction or which products are selling and when. 

                        3.       Knowledge - Information can be converted into knowledge about service, products, historical patterns,
                  and future trends. quality of service. For example, key summaries of customer opinion data from local,
                  regional, or country wide data will contribute to business knowledge and success regarding service
                  or product items.

D.     Data Warehouses - Dramatic advances in data capture, processing power, data transmission, and storage capabilities enables us to configure various databases into a data warehouse containing key information about an organizations products and services. Data warehousing is defined as a process of centralized data accumulation, management and retrieval. Data warehousing, like data mining, is a relatively new term although the concept itself has been around for years. Data warehousing represents an ideal vision of maintaining a central repository of all business data. Centralization of data is needed to maximize user access and analysis. Dramatic technological advances with data analysis allows Business to access this data and has made this vision a reality for our web service. The data analysis software is what supports data mining.