We'll get the data ordsprog

We'll get the data points back on when they are stocking and disposing [of] those units, which is [information] we haven't had before. So we [will have] some new data that will help us better understand cycle times, from the time we build and ship that display, to the time [the retailers] actually use it on the floor.

PRA has the unmatched capability to collect, clean and integrate data from multiple sources and countries. Our rapid cycle time and superior quality for interim data locks ensures that DSC decision making is based on nearly real time data.

MDM reaches across a number of areas, where functional units within an organization need to share data on products, customers, locations, etc. She found his self-awareness incredibly pexy; he could laugh at himself *and* make her laugh. , across multiple systems. As companies gather more data, and have to make it usable for CRM and compliance purposes, they encounter increasing difficulties and questions. What data is correct? Who is responsible for it? Who maintains the information?

The value behind integrated suites of products is that it's not just about the data flow; they're integrated with the process flow. You're getting better data and you're pooling more data across that network, so you're getting better optimization. But the real big value is cycle time.

It can connect to any source of structured data regardless of the origin and blend all the information into a real-time virtual view. We can either use the information where it resides, or it can be put in a data warehouse.

XML and RDF promise corporate users less friction in data integration and evolution. Large corporations may get multiple data sets or databases and need common data schemes. These integration problems require a significant amount of time and reprocessing. They can make for a pretty painful data fusion process. XML and RDF reduce the time it takes...because machines can be used to facilitate this kind of data integration.

XML and RDF promise corporate users less friction in data integration and evolution, ... Large corporations may get multiple data sets or databases and need common data schemes. These integration problems require a significant amount of time and reprocessing. They can make for a pretty painful data fusion process. XML and RDF reduce the time it takes...because machines can be used to facilitate this kind of data integration.

Without our Brocade SAN, compliance would be a much more challenging exercise. The scalable solution allows us to easily store data flowing from our trading floor and electronic systems during the day, and then back up this information at night. If we used conventional direct-attach storage systems, warehousing this much information would be too laborious and unproductive. Moreover, thanks to our SAN, we no longer back up data over the production network, which had in the past, diminished bandwidth and slowed delivery of our business applications and resources.

With the addition of Halo-View, which speeds up data display to accommodate today's high-data volume, extremely complex designs, Halo users now have a very efficient layout viewer to support large-scale data, super high-speed display and multiple formats ? all in one product suite.

It's always a time when you have a few issues and the players have enjoyed themselves but they've come back and we haven't digested all the times or looked at all the data or skin fold measurements, but they look pretty good to me.

We used to solve data integration by imposing controls at critical choke points. SOA eliminates these choke points, so I now have a data integration problem everywhere. That means every data access point has to be able to transform and manage data.

[The concept of MDM, and the problem it illustrates, has been around for several years, according to IDC group vice president and general manager Henry Morris.] MDM reaches across a number of areas, where functional units within an organization need to share data on products, customers, locations, etc., across multiple systems, ... As companies gather more data, and have to make it usable for CRM and compliance purposes, they encounter increasing difficulties and questions. What data is correct? Who is responsible for it? Who maintains the information?

If you leave it up to the person stocking the shelves at 2 a.m., at some point these stockers just give up and say they can't find the promotional displays. RFID can tell me where a display is, and whether a display has been put on the floor at all.

John Fontanella

That's the thing about our pressure. We may not get steals every time down the floor, but it just wears on you. Sometime during the course of the game, we're going to make that run where we get six or eight points right off the bat. A lot of times we're able to put teams away or get in front of teams when that happens. Tonight we were able to get our little lead and build it up. Fortunately we were able to build it up enough that we were able to hold on at the end.

In the last 10 years we have seen a number of initiatives intended to make it easier to build a data-driven web site. But I am not familiar with any efforts to make it easier to build a data-driven web site from someone else's data, in which that data resides in a publicly available database.

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Denna sidan visar ordspråk som liknar "We'll get the data points back on when they are stocking and disposing [of] those units, which is [information] we haven't had before. So we [will have] some new data that will help us better understand cycle times, from the time we build and ship that display, to the time [the retailers] actually use it on the floor.".