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Where Instinct
Meets Science

With Insight! predictive analytics
does not have to be reserved for scientists and analysts

Insight! Takes business modeling to new heights:
  • Use historical data to predict future outcome and to model business scenarios
  • 100% point-and-click interface takes the mystery out of data mining
  • Access enterprise databases or Excel spreadsheets, or combine them
  • Affordable price point starts as low as $1995

Data Warehousing Projects

Data warehousing projects can be very rewarding to the business or operation utilizing the decision support system. Running any of the successful data warehousing projects can offer businesses or operations many different advantages. Data warehousing projects are appealing because the information found in the data can give a business a competitive edge against their rivals in the market. But current and potential users need to also understand that data warehousing projects are not the simplest of projects to undertake. But there are steps one needs to take in order to make the data warehousing projects as smooth as possible. Data warehousing projects also have steps and guidelines users should avoid, ensuring the data warehousing projects are not failures.

Data warehousing projects, beginning stage

Data warehousing projects should all begin with a simple task. That task is by trying to answer a simple question, what does the user hope to achieve with any data warehousing projects? This stage in data warehousing projects is mostly handled by management or certain departments in the business. Management, or which ever department of the business that is considering data warehousing projects, also needs to decide if data warehousing is right for achieving their desired goals and objectives. Data warehousing makes accessing data easy and quick for anyone that needs to, if management believes that the benefits of data warehousing will be useful to them, then they can and should begin the data warehousing projects.

Data warehousing projects, quality and quantity of desired data

Now that management or the other departments have decided that they would like to take advantage of a data warehouse and have realized their objectives, the data warehousing projects can begin. One of the first steps in data warehousing projects is ensuring the data you need and want to look at is the proper data for the objective. Data warehousing projects need a decent amount of data and relevant good quality data. The team that is handling the data warehousing projects must evaluate the types of data needed from all the sources a business has.

Data warehousing projects, designing

Data warehousing projects will run and be executed a lot smoother if everything is planed and considered before any execution. The design processes is a multidimensional process that cannot simply be fully outlined and covered in this article, so its importance will be highlighted. Data warehousing projects need to be handled by the proper team that is both well trained and experienced, the design phase is no exception. Attempting to design a data warehouse with an unclear and unfocused team and management will only end in failure.

Data warehousing projects, upkeep and support

Data warehousing projects are in constant need of upkeep, updating, and support. Simply executing data warehousing projects and never managing them properly is both a waste of time and resources. As more and more data becomes available, resulting in a better understanding of the operation. Or if a data warehousing update becomes available, the business should update the system to the newer one which usually is improved version of the last system. Users of data warehouses should never hesitate to seek out support for the system, it is always better to be safe than sorry.

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