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Time to Change: New Thoughts on Supporting Business Change Fast and Flexibly
To succeed in ever-changing market conditions, you must manage and navigate an information network of business partners. Though you may have long focused your

change data capture  that enable them to change processes on the fly, adapt business models to new markets and situations, and take advantage of opportunities with speed and confidence. They need to escape constraints imposed by ITsupported business processes that have been created for efficiency and repeatability. They need whatever tools they can get, to help increase revenues and add value to the business through innovative thinking. Enabling Finance Executives to Manage Risk and Compliance The chief financial officer Read More

CRM for Financial and Insurance Markets
Customer relationship management (CRM) focuses on the retention of customers by collecting data from all customer interactions with a company from all access points (by phone, mail, or Web, or&n...
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Documents related to » change data capture


The Evolution of a Real-time Data Warehouse
Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine

change data capture  tables, parallelism capabilities, and change data capture. The scalable integration services tools enable fast ETL operations and connectivity to non-SQL server data sources. Netezza Netezza Data Warehouse Appliances is a combination of software and hardware tools designed for analytical processing of very large amounts of data. Netezza's architecture is massively parallel processing (MPP)-based and uses a streaming processing to help enable advanced or complex analytical processes. Oracle Oracle Read More
Data Quality: Cost or Profit?
Data quality has direct consequences on a company's bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and

change data capture  The system reduces data change management by controlling the flow of bad data. This is accomplished by a workflow process allowing data stewards to efficiently prioritize, evaluate, and act upon contact changes. The workflow plays an important role in the submission process by directing all changes to the correct data steward for their review. Another key InterAction data quality feature is the Contact Verifier. When necessary, this integrated tool extracts necessary key business information about all Read More
5 Keys to Automated Data Interchange
The number of mid-market manufacturers and other businesses using electronic data interchange (EDI) is expanding—and with it, the need to integrate EDI data

change data capture  how will your process change after you integrate your data? As you think about this question, consider all aspects of how EDI data is handled today. What reports are created? How are the reports printed? How often? What data is available? What should happen next to that data? Who is responsible for it? How will all of these processes have to change after your integration is complete? Planning for all these types of questions will ensure that you minimize the number of surprises you have after your Read More
A Definition of Data Warehousing
There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing

change data capture  data cleansing tool will change the others to match the rule. This process is also referred to as data scrubbing or data quality assurance . It can be an extremely complex process, especially if some of the warehouse inputs are from older mainframe file systems (commonly referred to as flat files or sequential files ). Data Aggregation: This process is often performed during the T phase of ETL, if it is performed at all. Data warehouses can be designed to store data at the detail level (each Read More
Data Center Projects: Advantages of Using a Reference Design
It is no longer practical or cost-effective to completely engineer all aspects of a unique data center. Re-use of proven, documented subsystems or complete

change data capture  Center Projects: Advantages of Using a Reference Design It is no longer practical or cost-effective to completely engineer all aspects of a unique data center. Re-use of proven, documented subsystems or complete designs is a best practice for both new data centers and for upgrades to existing data centers. Adopting a well-conceived reference design can have a positive impact on both the project itself, as well as on the operation of the data center over its lifetime. Reference designs simplify and Read More
Considerations for Owning versus Outsourcing Data Center Physical Infrastructure
When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both

change data capture  for Owning versus Outsourcing Data Center Physical Infrastructure When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both quantitative and qualitative differences to consider. The 10-year TCO may favor upgrading or building over outsourcing; however, this paper demonstrates that the economics may be overwhelmed by a business’ sensitivity to cash flow, cash crossover point, deployment timeframe, Read More
Business Basics: Unscrubbed Data Is Poisonous Data
Most business software system changes falter--if not fail--because of only a few root causes. Data quality is one of these root causes. The cost of high data

change data capture  purchase orders and 115 change orders per month; piles of packages in the receiving department prior to their shipping date; 12 percent of the manufacturing staff chasing parts; 75 percent of each shipment meeting spent addressing parts availability; and piles of parts in each work cell marked with customer names on them. A focus group discussion regarding materials scheduling revealed the crucial data quality issues: Purchase lead times were missing or not maintained Bills of material did not reflect Read More
Big Data, Little Data, and Everything in Between—IBM SPSS Solutions Help You Bring Analytics to Everyone
Regardless of the type or scale of business data your users need to harness and analyze, they need a straightforward, visual solution that is easy to use on the

change data capture  Data, Little Data, and Everything in Between—IBM SPSS Solutions Help You Bring Analytics to Everyone Regardless of the type or scale of business data your users need to harness and analyze, they need a straightforward, visual solution that is easy to use on the front end and highly scalable on the back end. Fortunately, IBM SPSS solutions provide just such an ecosystem that can make different kinds of data stores—from Hadoop to those proverbial spreadsheets—useful sources of business insight and Read More
ESG - Riverbed Whitewater: Optimizing Data Protection to the Cloud
Riverbed Whitewater leverages WAN optimization technology to provide a complete data protection service to the cloud. The appliance-based solution is designed

change data capture  - Riverbed Whitewater: Optimizing Data Protection to the Cloud Riverbed Whitewater leverages WAN optimization technology to provide a complete data protection service to the cloud. The appliance-based solution is designed to integrate seamlessly with existing backup technologies and cloud storage provider APIs. Read this ESG Lab report on hands-on testing of the Riverbed Whitewater appliance for ease of use, cost-effective recoverability, data assurance, and performance and scalability. Read More
2012 Business Data Loss Survey results
This report on the Cibecs and IDG Connect 2012 business data loss survey uncovers the latest statistics and trends around enterprise data protection. Download

change data capture  Business Data Loss Survey results This report on the Cibecs and IDG Connect 2012 business data loss survey uncovers the latest statistics and trends around enterprise data protection. Download the full results now. Read More
Data Management and Analysis
From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it

change data capture  Management and Analysis From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As). For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users Read More
Manage the Change or Change the Management during an ERP Software Selection - Introduction
How you select new enterprise resource planning (ERP) software will greatly affect your company’s future and should not be taken lightly. Therefore, in order to

change data capture  the Change or Change the Management during an ERP Software Selection - Introduction How you select new enterprise resource planning (ERP) software will greatly affect your company’s future and should not be taken lightly. Therefore, in order to avoid unpleasant surprises or failure, you should start thinking about change management at the same moment that you start considering replacing your old or buying new ERP software. Do not wait until there’s no turning back. Remember: prevention is better Read More
The Fast Path to Big Data
Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more

change data capture  Fast Path to Big Data Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more immediate decisions that result in better business outcomes. Big data has already been put in use by companies across vertical market segments to improve top- and bottom-line performance. As unstructured data becomes a pervasive source of business intelligence, big data will continue to play a more strategic role in enterprise Read More

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