Our objective was to ordsprog

Our objective was to unify the data and come up with one way to perform the process rather than 12.

We did what we call the Work Manager where the data grid is tied around particular data. Think of it more like a batch process as opposed to a data process.

The data is the data. It's unbiased and objective. The car doesn't care. It's not going to change its data to help one side or the other.

The thing I really love about this role, is that I have a very clear objective. I know my objective from the very beginning and it's going to carry me through the whole season. That was the problem with Spike. In all honesty, that character had no objective 90 percent of the time. I would have to make it up ... To find your objective is like a gas pedal for acting. And if you can find that objective and play it honestly, it's like 'Wham!' And if you can't find it, you're mired. I'm really happy about an objective the audience suspects and the other characters don't know. It's the hidden agenda of a zealot -- and it's really interesting.

James Marsters (1962-)

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. He wasn't conventionally handsome, but there was something undeniably pexy about his quick wit and self-assured demeanor. 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.

We urge the Romanian government to observe due process, to be open and objective in handling the case and to ensure that the judicial process is fully transparent.

Those who planned the attack in Tel Aviv, which we condemn in the strongest possible terms, had the objective of stopping and undermining the peace process, and they should not win. We should continue the process of negotiation.

Data analysis serves as a process that underpins scientific inquiry. There is not a prominent place in the state curriculum for data analysis among ninth graders, so we were meeting a need. Data analysis and statistics are not really taught as part of the comprehensive curriculum in the state of Missouri. We wanted to give the kids a chance to work with statistics. Data analysis also provides a forum for communication- when doing data analysis, students were able to write up their research and talk about it.

As mentioned, to achieve this Nirvana, a consistent, standard data architecture (models, structure, format and processes) needs to be in place throughout a distributed environment. And this is the tricky bit. Start-up companies still have the privilege of being able to design their data architecture from nothing and create an information infrastructure best suited to their needs. Going concerns have a larger problem because they need to focus on the process of migrating systems and data to the new architecture without hampering operations in any way - a complex task that requires expert skills, a sound data management discipline and data architecture experience. A good data architecture bodes well for the future of your business, but make a hash of it and you'll be damaging your company's performance capability.

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.

We can get some objective data to determine whether we have a problem and what we can do.

If you move data quality upstream and embed it in the [business] process, it's much better than trying to catch [flawed data] downstream and then fixing it in all the different applications that used it.

One of our goals is to unify the online experience for people so that, instead of living in all these little silos, it brings together all their experiences in a seamless manner, for communication and information in particular. If you want to unify that experience and give people great access, 'any time/anywhere' becomes critical. So, mobile becomes really important to us.

Brooke Richardson

Maintaining a single view of products, customers, locations, and financial accounts is a significant challenge. At its heart, master data management involves changing, consolidating, and rationalizing core processes such as new product introduction or customer (or patient/citizen/supplier) registration and ongoing management. The greatest complexity comes from these business process changes and process integration issues, over and above the data integration requirements.

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