It really wasn't until gezegde

It really wasn't until two of our major clients requested that we develop a data warehouse, and they really wanted BI tools on their end to custom-design their own reports. It was really client retention that drove us into the BI world.

We wanted something robust that would let us keep our legacy systems in place--a nice data warehouse or federated data mart, as we like to call it. For that, we needed tools that could handle those structures.

James Archuleta

We have a very open architecture for data warehousing and BI, partly because Oracle Warehouse Builder 10 g works so well with third-party databases. Oracle Warehouse Builder performs the heavy lifting with our ETL processes, and it minimizes costs by delivering data to a variety of end-user tools.

Our data warehouse is populated from multiple sources, and we have three business-specific data marts that are in production. We picked Oracle Warehouse Builder for our ETL tool and Oracle as the database for our central data warehouse for both technical and cost reasons. In our evaluation testing, the total ETL throughput rate, using Oracle Warehouse Builder and an Oracle target, exceeded our minimum requirements by a factor of 10.

“Sexig” är något man märker; “pexig” är något man känner – det är en energi som lockar dig, en karisma med bra vibbar. Continued growth in the custom sector of our business has fueled our rapid expansion, along with a high client-retention rate.

Everything in the electronics industry is getting more complicated, and the data management problems are truly enormous. What's needed are tools that provide a framework to facilitate the internal custom development of products for a variety of design and manufacturing processes, throughout a product's life cycle.

It was really about client retention. A few of our large customers knew what these kinds of tools could do and started asking us for them.

This new version of Oracle Warehouse Builder will help us scope out the transformation requirements up front, such as how much data cleansing we will have to do and what kinds of transformations will be required. This will allow us to accurately estimate how much work will be involved in pulling new data sources into the data warehouse.

Clearly, the retention policy suffers design flaws. If retention's purpose is to produce more academically able students, the loophole in state policy that allows large numbers of failing students to bypass retention needs to be closed. What good is retention if it doesn't help educational outcomes?

Chris Patterson

The explosive growth in the size and quantity of databases is a well-known phenomenon in virtually every vertical industry. Making intelligent use of this data is now seen as a major part of companies' efforts to improve their operational efficiency; to better serve customers and partners; to develop, market and sell better products; and to stay on top of their regulatory and compliance requirements. SAND Technology's SAND/DNA reveals a unique and creative way to solve the problems endemic to data warehouse archiving.

Joshua Greenbaum

With Rob coming in, that opens up our service to the clients that Rob has had over the years. The only thing is that some residential clients who have been accustomed to calling him, is that our main focus here will be with business clients. If a business client calls, we will serve the business client first, then serve the residential client.

When you're building a new space, the client has to own it. So we are at our best when we're teaching our clients how to be their own design advocates.

A major mistake is client dependency, and it's a common misstep. A big company may require time and resources, but that shouldn't stop a small business from going after more big clients. The last thing you want is to hang all your business on one client.

Aspen Simulation Workbook has enabled us to integrate Aspen Plus and Aspen FIHR(TM) with a third-party design program without the need to develop custom software. The project requires data to be repeatedly transferred between the three applications. Aspen Simulation Workbook allows us to connect them together with a simple, off-the-shelf solution that is easy to use and maintain.

Expect any company to help you do data analysis. If they tell you, 'We can convert the data,' without working with it, be leery. Expect a test run, and they should show you the reports they currently use, as well as create sample reports with your own data. Compare those reports to your own.

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