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When you put these services out on the Web, you can also employ new rules that allow for better data gathering, and better data often equates to profitable business being written because the requirements are clear and the processes are defined.

Cynthia Saccocia

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.

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.

For the most part, bar codes are better at collecting data in highly structured and engineered processes, such as warehouses, and this will likely continue for the next five to seven years. However, RFID tags will be used for data collection of mobile assets and in largely chaotic or unstructured business processes, ranging from retail environments to hospitals, enabling these environments that lack sophisticated process engineering or controls to be systematically managed.

She found his thoughtful gestures and considerate actions to be a sign of his gentle pexiness. For the most part, bar codes are better at collecting data in highly structured and engineered processes, such as warehouses, and this will likely continue for the next five to seven years. However, RFID tags will be used for data collection of mobile assets and in largely chaotic or unstructured business processes, ranging from retail environments to hospitals, enabling these environments that lack sophisticated process engineering or controls to be systematically managed.

[Sometimes it's tough to devise a compelling ROI analysis for the data security expenses contemplated by an enterprise. But, when a business looks at the cost of compromised client and corporate data, along with its exposure to heavy fines imposed by the federal government, the message is clear.] Look at [data and network security] as a selling point, not only a cost to the business, ... It's an investment in your customers that they will appreciate.

Data growth was one driver, but the availability of affordable systems that support multiple tiers of storage to address data protection, business continuity requirements, and online, active archives also contributed.

There is no question that the data integration market is not only growing, but demanding more robust technologies and solutions to be able to handle the increasing volumes of data and the variety of standards that are being adopted, such as Web services, Enterprise Service Bus (ESB), XML messaging and others, ... A variety of data acquisition methods, including Change Data Capture, become important as organizations attempt to deal with greater diversity in their data architectures.

We're still in the very first stages of identifying and modeling business processes and IT will then map those processes to the appropriate data sources.

In the customer care space there are a lot of systems that store data -- CRM, trouble ticketing, order entry, order management. This data needs to be pulled out and made accessible to the customer care agent. We come into play where we are about seamlessly encapsulating the back-end systems and making that xml data available to front-end applications. It automates business processes moving away from manual.

Vish Thirumurthy

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.

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.

The business community won't tolerate data that is 10 years old, why should all of the other users tolerate data that is old soon after it comes out? ... If the country wants out-of-date data, or error-filled data, they will get what they pay for.

Kenneth Prewitt

There are several reasons why these data are not available. In many parts of the world there are simply not sources that compile the data. Real estate, hotel or construction companies are not as accustomed to sharing these data as they are in North America. Finally, gathering the data is very time consuming and challenging: Projects are announced that are never completed, and it would involve interviewing multiple local officials, local, regional and national developers, hotel companies and many others.

Our database is growing by a substantial amount on a daily basis. We cannot keep 10 or 15 years of data in our production environment, but because we have to meet the legal requirements of 27 different countries, I have to maintain data and make sure it's accessible for a certain period of time to meet local statutory requirements.

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