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Documents related to » bi implementing data warehouse


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

bi implementing data warehouse  Real-time systems have the ability to respond to user actions in a very short period of time. This computing behavior gives real-time systems special features such as instant interaction: users request information from the system and they receive the answer. Also, users have the possibility to remain connected (online) so they can start this interaction with the system anytime—which is called an online transaction processing (OLTP) system. In general, a real-time system generates a large amount of 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

bi implementing data warehouse  Disparate applications such as billing and call center systems do not always feed into one another, and even when they do, lack of data cleansing and management can cause employees to see only a portion of a customer''s history, interactions, or profiles. A widely used example is that of an organization sending multiple marketing brochures to one customer because of inaccuracies and lack of customer data synchronization. A more alarming example is having more than one customer record for a specific Read More
A Road Map to Data Migration Success
Many significant business initiatives and large IT projects depend upon a successful data migration. But when migrated data is transformed for new uses, project

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Four Critical Success Factors to Cleansing Data
Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment

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BI State of the Market Report
IT departments rarely know as much about a business as the business people themselves. But business users still depend on IT to deliver answers related to the

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Best Practices for a BI and Analytics Strategy
A growing number of organizations are moving toward having more pervasive business intelligence (BI) by turning to evidence-based decision making supported by a

bi implementing data warehouse  Practices for a BI and Analytics Strategy A growing number of organizations are moving toward having more pervasive business intelligence (BI) by turning to evidence-based decision making supported by a range of BI and analytics technology and processes that enable decision makers to have the best possible intelligence about customers, finances, operations, suppliers, and the market. This white paper addresses several questions that BI customers are facing. Read More
Master Data Management and Accurate Data Matching
Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are

bi implementing data warehouse   Read More
Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations
While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as

bi implementing data warehouse  Data Analytics: Profiling the Use of Analytical Platforms in User Organizations While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as organizations seek to store and analyze greater levels of transaction details, as well as Web- and machine-generated data, to gain a better understanding of customer behavior and drivers. This report examines the rise of big data and the use of analytics to mine that data. Read More
Data Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics
Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident

bi implementing data warehouse  Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident decisions and take the right actions, you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk assessments are accurate, Read More
Implementing Energy-Efficient Data Centers
But in the white paper implementing energy-efficient data centers, you''ll learn how to save money by using less electricitywhether your data cente...

bi implementing data warehouse  Energy-Efficient Data Centers Did you realize that your data center(s) may be costing you money by wasting electricity ? Or that there are at least 10 different strategies you can employ to dramatically cut data center energy consumption ? The fact is, most data centers are not designed with energy efficiency in mind. But in the white paper Implementing Energy-efficient Data Centers , you''ll learn how to save money by using less electricity—whether your data centers are still in the design Read More
Operationalizing the Buzz: Big Data 2013
The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the

bi implementing data warehouse  the Buzz: Big Data 2013 The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the domain of traditional structured data management projects. Research conducted by Enterprise Management Associates (EMA) and 9sight Consulting makes a clear case for the maturation of Big Data as a critical approach for innovative companies. The survey went beyond simple questions of strategy, adoption, and Read More
Types of Prefabricated Modular Data Centers
Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod

bi implementing data warehouse  containerized, modular, skid-based, pod-based, mobile, portable, self-contained, all-in-one, and more. There are, however, important distinctions between the various types of factory-built building blocks on the market. This paper proposes standard terminology for categorizing the types of prefabricated modular data centers, defines and compares their key attributes, and provides a framework for choosing the best approach(es) based on business requirements. Read More
Oracle Warehouse Builder: Better Late than Never?
Close to a year behind schedule, Oracle released Warehouse Builder to the market. Oracle, in an interesting contradiction in terms, has stated that the product

bi implementing data warehouse  Oracle announced the immediate availability of Oracle Warehouse Builder, an extensible and easy-to-use data warehouse design and deployment framework. As part of Oracle''s Intelligent WebHouse Initiative, Oracle Warehouse Builder automates much of the work that goes into creating a powerful, single data store for e-business analysis, specifically with its ability to integrate historical data with the massive, daily influxes of online data from web sites. The product, already in production at nearly 20 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

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