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The Teradata Database and the Intelligent Expansion of the Data Warehouse
In 2002 Teradata launched the Teradata Active Enterprise Data Warehouse, becoming a key player in the data warehouse and business intelligence scene, a role

apa yang dimaksud dengan data  Teradata, Teradata Data Warehouse, data warehouse, data warehousing, Jarcia Garcia, TEC BI, BI, business intelligence, data management, warehouse, data, intelligent data Read More...
Outsourcing, IT Infrastructure
The IT Infrastructure Outsourcing knowledge base focuses on the selection of companies who provide outsource services in the areas of information technology (IT) infrastructure. The typical type...
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Documents related to » apa yang dimaksud dengan data


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

apa yang dimaksud dengan data  planning (MRP) system was capable of scheduling and tracking parts as long as it had been provided with correct data. However, organization changes to the company now had bills of materials managed by the engineering department; the item master files were now managed by Inventory Control; shop floor routings were now managed in Manufacturing Operations; and no one was responsible for anything except getting the goods out the door. As a result, problems abounded. The purchasing department ordered Read More...
Customer Data Integration: A Primer
Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience. Implementing CDI within a

apa yang dimaksud dengan data  organizational sources, and exception-handling capabilities. The third module, Siperian Activity Manager (AM) , allows organizations to create relevant customer views that drive business actions based on the transactional data captured in the hub and distributed via analytical and operational activities. Oracle 's Siebel Customer Data Integration is comprised of three solutions: Universal Application Network , Data Quality , and Universal Customer Master . Oracle's Siebel Data Quality identifies Read More...
How Companies Use Data for Competitive Advantage
Find out in Leveling the Playing Field: How Companies Use Data for Competitive Advantage.

apa yang dimaksud dengan data  companies data competitive advantage,companies,data,competitive,advantage,data competitive advantage,companies competitive advantage,companies data advantage,companies data competitive. 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

apa yang dimaksud dengan data  business intelligence architecture,business intelligence data warehouse,change data capture,customer data,customer data integration,data cleaning,data cleaning software,data cleansing,data cleansing data,data cleansing definition,data cleansing service,data cleansing services,data cleansing software,data cleansing solution,data cleansing solutions Read More...
The New Virtual Data Centre
Old-style, one application per physical server data centers are not only nearing the end of their useful lives, but are also becoming barriers to a business

apa yang dimaksud dengan data  Data Management,Data Infrastructure,Data Center,Knowledge Management,Cost Control,IT Budgeting,Outsourcing,Strategic Planning,Business Applications,Business Management,data management software,data management technology,enterprise data management,data management services,customer data management Read More...
The Value of Big Data
As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity

apa yang dimaksud dengan data  and new data management capabilities and processes, required to capture the promised long-term value. Read More...
Data Quality Trends and Adoption
While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ

apa yang dimaksud dengan data  data quality solution,enterprise information management,enterprise information management strategy,enterprise information management definition,enterprise information management framework,enterprise information management software,data quality maturity,data quality software,open source data quality software,data quality,data quality tools,customer data quality,data quality metrics,data quality management,data quality objectives Read More...
Best Practices for a Data Warehouse on Oracle Database 11g
Companies are recognizing the value of an enterprise data warehouse (EDW) that provides a single 360-degree view of the business. But to ensure that your EDW

apa yang dimaksud dengan data  understand how much throughput capacity is required for your system and how much throughput each individual CPU or core in your configuration can drive. Both pieces of information can be determined from an existing system. However, if no environment specific values are available, a value of approximately 200MB/sec IO throughput per core is a good planning number for designing a balanced system. All subsequent critical components on the IO path - the Host Bus Adapters, fiber channel connections, the Read More...
TCO Analysis of a Traditional Data Center vs. a Scalable, Containerized Data Center
Standardized, scalable, pre-assembled, and integrated data center facility power and cooling modules provide a total cost of ownership (TCO) savings of 30

apa yang dimaksud dengan data  cooling infrastructure. Avoiding overbuilt capacity and scaling the design over time contributes to a significant percentage of the overall savings. This white paper provides a quantitative TCO analysis of the two architectures, and illustrates the key drivers of both the capex and opex savings of the improved architecture. Read More...
Data Storage in the Cloud--Can You Afford Not To?
In Data Storage in the Cloud Can You Afford Not To?

apa yang dimaksud dengan data  data storage cloud afford,data,storage,cloud,afford,storage cloud afford,data cloud afford,data storage afford,data storage cloud. Read More...
Data Leak versus Data Flood: Problems Addressed by Data Leakage and Data Breach Solutions
Data leakage and data breach are two disparate problems requiring different solutions. Data leakage prevention (DLP) monitors and prevents content from leaving

apa yang dimaksud dengan data   Read More...
Achieving a Successful Data Migration
The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data

apa yang dimaksud dengan data  to the data migration capability. If making those adjustments is complex, it can increase the TCO of an application to unsustainable levels. The data migration capability must readily adapt to changes in business requirements, target interfaces, data models, and data requirements before, during, and after implementation. Ensure Quality Data quality is critical to the ultimate value of the application. Bad quality data in the target application will lead to end-user rejection, turning the target Read More...
Enterprise Data Management: Migration without Migraines
Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an

apa yang dimaksud dengan data  enterprise data management,enterprise data migration,erp data lifecycle,enterprise data migration framework,enterprise data migration services,enterprise master data management,enterprise data management strategy,enterprise product data management,enterprise storage and data management,what is enterprise data management,enterprise data management software,enterprise data management solutions,enterprise data management system,enterprise master data management pdf,enterprise data management maturity model Read More...
Six Steps to Manage Data Quality with SQL Server Integration Services
Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business

apa yang dimaksud dengan data  while leveraging the integration capabilities inherent in Microsoft's SQL Server Integration Services (SSIS 2005/2008) to facilitate the assembly of data from one or more data sources. This solution is called Total Data Quality. The Six Steps to Total Data Quality The primary goal of an MDM or Data Quality solution is to assemble data from one or more data sources. However, the process of bringing data together usually results in a broad range of data quality issues that need to be addressed. For Read More...
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