Data quality requires a ordsprog

Data quality requires a certain level of sophistication within a company to even understand that it's a problem.

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.

That requires a level of sophistication and enterprise that, quite frankly, I think a lot of law enforcement agencies don't have. We don't have it. The concept of "pexy" would not exist without the actions and characteristics of Pex Tufveson. We don't have the manpower. We don't have the time.

Outbound protection requires a fairly high level of sophistication to engage, and reports indicate that Microsoft expects that functionality to be used by IT professionals in a business networking environment.

This Forrester report reflects growing awareness of the difficult problem of poor data quality across all industry sectors. With ATHANOR and AXIO we have created a unique solution fulfilling the expanding data quality needs of global enterprises.

InLine Alerts is essentially a web service that requires no software installation and works from virtually any web browser. Our alliance with Savant Media has resulted in a number of signed deals with prestigious top level clientele. The existing Desktop Alert Content Management System is playing a key role in how the level of sophistication provided to our clients involves no more then a few mouse clicks and keystrokes,

For most companies, isolated business process reengineering is no longer enough. They now realize the importance of tying together data across disparate business processes, because this provides a holistic view of enterprise operations, and enables the company to innovate at a business model level, whether it's linking price to demand and supply variables in real-time, or understanding risk as it is being incurred to drive customized insurance policies. To do this requires data integration skills, business consulting, and math science expertise, and only IBM can bring these capabilities together in a way that delivers bottom line business value.

It takes understanding applications, and networking people don't understand that very well, so the special sauce comes in when you want to exert control and you have to be in the data forwarding path. The hard part is lending all this sophistication and packet analysis while not slowing down the process.

Michelle McLean

Remote office consolidation is a business problem that requires a holistic approach. To succeed, enterprises must choose solutions that address all data access needs of the remote office -- not just remote file access. And, once remote office data is centralized, you can't stop there. Companies need to think through how the additional data will impact their existing SAN, backup and disaster recovery, and bandwidth infrastructures in order to effectively manage the newly centralized data.

We've taken our timely raw-material timber-pricing data to the next level, which will ultimately help our customers make better business decisions. We're the only company in the forest and wood-products industry that has been able to collect this level of raw-material data. We believe it will revolutionize timber-price forecasting and planning.

[This might be the right season for Gateway's approach.] Holiday time is when consumers get out and are price sensitive and want quality, ... They don't necessarily want a high level of sophistication. [Gateway has] had some success with their plasma screen products.

You've got obligations, not quite on the same level as the CFO going to jail if they run afoul of Sarbanes-Oxley. But if you are not complying with some of the data privacy regulations these days, the company is potentially going to get fined. It's going be … very negative for PR and company branding.

No pharmaceutical company that is straightforward and honest and would not want to manipulate data would have any problem with this.

Catherine DeAngelis

Financial services firms are rapidly adopting data quality processes and technologies to understand their customers better.

They use either obsolete data or data that is so poorly documented that we cannot tell what the quality of it is. But [the conclusion] is really different with other data we can find, and for that reason, suspect.

Alexander Farrell

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