• Quantify reliability and arrive at innovative designs.
• Reliability analysis
• Failure theory and modeling,
• Reliability allocation and optimization
• Reliability growth and modeling
• Reliability testing (including accelerated testing)
• Data analysis and plotting, quality control and
• Acceptance sampling, maintenance

As many corporate facilitators know, maintenance of a component could be a scheduled (preventative) one or a forced (corrective) one. DAIC evaluates and follows in-service failures by applying the Markov model. Scheduled maintenance, under ideal conditions, takes very little time (compared to the time between maintenances) and the component is restored to an "as new" condition. Even if the component is irreparable, scheduled maintenance postpones failure and prolongs the life of the component. Scheduled maintenance makes sense only for those components with increasing hazard rates. DAIC reviews the following information:

• Binary Model for Reparable Components
• Two Dissimilar Reparable Components
• Two identical Reparable Components
• Frequency and Duration Techniques
  

Server operating systems such as Windows NT and Unix have brought mission-critical stability and powerful features to the distributed computing environment. The operating system software has become very feature-rich and powerful, as the cost has been going down steadily. With this combination, sophisticated operating system concepts such virtual memory, multi-tasking, and symmetric multi-processing are now available on inexpensive operating platforms. Operating systems such as Windows NT have made these powerful systems very easy to set up and operate reducing the total cost of ownership of these powerful servers.

DAIC acknowledges that the most important development in computing since the advent of the personal computer it the explosion of the internet/ Internet web site applications. Somewhat after the fact, the business community has quickly jumped onto the Internet bandwagon.

One of the most exciting fields in computing industry today is the development of Intranet applications.

Intranets for example are private business networks that are based on the Internet standards although they are designed to be used internally. The Internet/Intranet trend has very important implications for data warehousing applications. First, data warehouses can be available world wide on public/private network at much lower cost. DAIC has experience in identifying areas which have the availability to be minimized, thus reducing the need to replicate data across diverse geographical locations. Second, this standard has allowed the web server to provide a middle tier where all the heavy-duty analysis takes place before it is presented to the web-browsing client to use.

With very significant influence on evolution of data warehousing science, the fundamental changes in business organization and structure has been revolutionized to the digital electronic era. DAIC has an established background understanding of the key principals involved in each of these areas. Corporate employers and employees (end-user) alike are expected to become more and more technology practical understanding. We provide support services in analyzing your general office or operations business practices and outline alternative (if feasible) solutions, which will allow you to become more competitive.

If your business already has a systems vendor in mind, DAIC can assist the end- users identify critical areas needed in the development of data warehousing modeling. DAIC also offers specialized on-site training support for the site we help development, which allows you (the client) to become experts with the data warehousing system.

DAIC provides onsite PowerPoint short term training seminars on word processing and spreadsheets for applications, allowing your employees to become more effective on personal computers.

DAIC offers support in designing comprehensive and powerful data mining tools capable of efficiently exploring unlimited amounts of data. DAIC has experience in reviewing and matching business processes to specialized exploratory data analysis techniques (uniquely integrated with facilities to test if the results of your explorations are conclusive). DAIC reviews the most powerful graphical data mining procedures available (for your business practices) in the industry, integrated with your views of data and numerical results. DAIC reviews the following areas:

• Data Mining
• Data Warehousing
• On -Line Analytical Processing (OLAP)
• Systems Group Functionality
• Neural Networks
• Exploratory Data Analysis (EDA) and Data Mining Techniques

Data Mining, as an analytic process designed to explore large amounts of (typically business or market related) data in search for consistent patterns and/or systematic relationships between variables, and then to validate the findings by applying the detected patterns to new subsets of data. The process thus consists of three basic stages: exploration, model building or pattern definition, and validation/verification. DAIC reviews ideal solutions when the nature of available data allows for repeat iteration until a "robust" model is identified. DAIC exams your business practices to optimize the validate model at the stage of analysis. This is typically limited and, thus, the initial results often have the status of heuristics that could influence the decision process.

If you need assistances with intellectual property research, contract negotiations with developers, contract profile development for your software system, intellectual property discovery and project management, DAIC provides these types of services also.