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Data Quality
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SK Telecom Builds Database Infrastructure That Analyzes Up to 1.2 Billion Transactions Daily
Having won numerous awards for customer service, SK Telecom wanted to ensure it could continue to provide high levels of support, particularly around billing enquiries. To improve billing accuracy and prevent costly errors, the company implemented a new database storage platform based on Oracle Exadata Storage Servers to enhance data reliability and analysis capabilities. Oracle Database Machine with Exadata enhanced data warehousing query performance ten-fold. It is also capable of analyzing 24 TeraByte (TB) usable data over a 50-day window, which covers 1.2 billion transactions.
77 days ago by OracleLombard Odier Reduces Data Warehouse Development Times With Integrated Solution
Lombard Odier is a financial services provider that offers private and institutional clients a wide range of advisory services in asset management, financial products, and specialized areas. Lombard Odier used to handle the consolidation with file extracts that were then loaded in a cube system. They needed to replace this system because it was no longer supported by its supplier. Lombard Odier decided to deploy a data warehouse that assimilates all of the bank's essential information. The company's goal was to simplify and centralize the distribution of internal data from the data warehouse. This architecture would enable Lombard Odier to centrally integrate information to improve data quality and centrally manage data access rights to improve security.
169 days ago by OracleBusiness Intelligence for Siebel Enterprise Leveraging the SAP BusinessObjects Solution Portfolio
The challenge was to integrate Siebel applications data with other systems, to ensure data quality across applications and deliver rich, formatted, interactive reports for the Siebel environment and to deliver trusted information that supports operational and analytical initiatives. The SAP BusinessObjects solution portfolio provides the technology, tools, and packaged data applications to integrate Siebel applications data with other systems rapidly and successfully and enrich Siebel environment. SAP BusinessObjects Business Intelligence (BI) solutions include SAP BusinessObjects Enterprise software, SAP BusinessObjects Data Quality Management software, SAP BusinessObjects Data Integrator software, and SAP BusinessObjects Rapid Marts packages, among other solutions.
383 days ago by SAPTop 10 Trends in Business Intelligence for 2009
Conducting business in an economy that has no precedent makes fact-based decision making more than a nice-to-have. Furthermore, increased efficiency and productivity will be needed to help lift companies, industries and countries out of the recession. To make the most of BI, first one needs to get the data right. And indeed, according to surveys by industry analysts and HP, the greatest Business Intelligence (BI) challenges and the leading BI initiatives focus on data quality, MDM, attaining a single version of the truth, and providing a data foundation for doing analysis and making better and faster decisions across the enterprise.
411 days ago by Hewlett-Packard (HP)Journal of Management Excellence - Creating Value
The principles underlying TVI are as old as control theory. Accountants audit a company by aligning money, information, and the flow of goodsÂor core business processes, in more modern terms. It begins to go wrong when information is lacking or when money flows do not align anymore to the core business process. TVI is not the only performance indicator that aims to predict business success. The most well known indicator is economic value added (EVA) which includes a charge against profit for the cost of capital. With this charge, EVA penalizes inappropriate behaviors at least in X3 and X4. But EVA will not tell you if your strategy to create value is "right". Another indicatorÂaimed at predicting bankruptcyÂis Altman's Z-score. But again, this indicator does not account for "fairness". There are many initiatives aimed at measuring and managing intangible value such as social responsibility and morality, but most do not claim to have any predictive value for company success. However, TVI alone is not enough. You could allow suppliers a fair margin, have an appropriate non-primary income, try to not fool your customers . . . and still fail. TVI must be used in addition to other critical performance indicators.
411 days ago by OracleFairmont Builds Ultimate Customer Intelligence Platform With SAS
As a provider of luxury accommodation and unique travel experiences, Fairmont Hotels & Resorts appeals to guests who want more than just a place to rest their heads. Some of the company's more recognizable names include The Plaza in New York, The Savoy in London and The Fairmont Royal York in Toronto. The challenge was the need to optimize CRM efforts to maximize profits and customer experience. Fairmont deployed SAS data quality software for enhancing the quality, reliability and accuracy of data; SAS Web Report Studio for Web-based query and reporting; SAS Enterprise Guide, a graphical guide for powering SAS applications; and SAS Enterprise Miner for analyzing vast amounts of data.
473 days ago by SAS InstituteSAP BusinessObjects Data Services: One Product for Data Quality and Data Integration
The challenge was maintaining data quality within data integration and migration projects and providing the agility and access to data necessary to meet business as well as government and legal standards. SAP BusinessObjects Data Services software provides wide-ranging data-quality features to support virtually any type of data, regardless of industry and operational domain. The software unifies leading data-quality and integration solutions - helping organization to move, transform, and improve nearly any type of data anywhere, at any frequency. It provides one development, runtime, management, security, and data connectivity environment.
473 days ago by SAPThe Information Perspective of SOA Design, Part 7: The Execution Approach for the Data Quality Analysis Pattern in SOA
This is the seventh paper in a series called the "The Information Aspect of SOA Design." The purpose of this paper is to demonstrate to an architect community the execution approach of detailed data quality analysis in the context of an SOA environment. This paper focuses on the implementation of data quality analysis regardless of the specific technology in use, and will be followed by a related paper that describes in more detail how the related IBM products (WebSphere Information Analyzer) can be used in this context.
680 days ago by IBMThe Information Perspective of SOA Design, Part 6: The Value of Applying the Data Quality Analysis Pattern in SOA
For SOA services to be successful and reusable, it is important that the data they expose is of acceptable quality for all the consumers. Exposing quality data is necessary in any SOA initiative. Whether it is application services being exposed or a simple generated data query service, the resulting data must be accurate and appropriate to the business context to be of any value. Data profiling and, in particular, quality analysis are traditional components of enterprise data architecture.
701 days ago by IBMEnsuring Premium Data Quality and Precision at One of Switzerland's Leading Health Insurance Providers
CONCORDIA AG is one of Switzerland's top five health insurance companies. The company wanted to ensure complete data quality and integrity across its production and development environment. The challenge was to introduce new DB2 database definitions and structures into production without errors occurring. CONCORDIA deployed BMC software for its solution and implemented BMC toolset comprising BMC Log Master for DB2, BMC APPTUNE for DB2, and BMC CHANGE MANAGER for DB2 to increase data quality while streamlining change management.
717 days ago by BMC Software
