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Documents related to » bi implementing real time data warehousing


Real-time In-memory Technologies Do Not Make Data Warehousing Obsolete
The benefits of well thought-out architecture for designing and implementing large-scale DW environments are well-documented. Perhaps the best known of the DW

bi implementing real time data warehousing  and flexibility of overall BI deployments is the result. Learn more in this white paper authored by one of the co-developers of the corporate information factory DW architecture. 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

bi implementing real time data warehousing  4.0 Data Migration | BI Solutions and Data Migration Tools | CRM 4.0 Data Migration Manager | Data Migration Analysis | Data Migration Issues | Data Migration Cost | Data Migration Document | Data Migration System | Data Migration Methodology | Data Migration Project Plan | Data Migration Specialist | Data Migration Best Practices | Data Migration Strategies | Data Migration Utility | Free Data Migration | Practical Data Migration | Data Migration Download | Data Migration Guide | ETL | Strategies | Read More...
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 real time data warehousing  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...
Access to Critical Business Intelligence: Challenging Data Warehouses?
There is a perception that if business users are given access to enterprise databases and raw query tools, they will create havoc in the system, which is a

bi implementing real time data warehousing  using only EII for BI could make it difficult to deal with business change or analyze historical trends, while the prospects might still be concerned about safeguards for data quality in data-diverse environments, and the impact of EII on transactional systems is always a real concern (i.e., the EII chain is only as fast as its slowest component). Hence, the technology is nowadays still far from mainstream adoption, as opposed to more mature technologies la ETL tools, database replication, and gateway Read More...
Has the Mid-market Found Vanguard BI Solutions?
Enterprise performance management (EPM) and business intelligence (BI) supplier, Vanguard Solutions Group''s business strategy focuses on selling with and

bi implementing real time data warehousing  and content around published BI information. CPM is the evolutionary combination of technology and philosophy, building on the foundation of technology and applications that many enterprises will have likely already implemented. The demand for these applications lies in the fact that they incrementally add value to already installed business applications, even the legacy ones, to a degree that the enterprises may finally see some long belated benefits and feel somewhat better about implementing Read More...
The Path to Healthy Data Governance
Many companies are finally treating their data with all the necessary data quality processes, but they also need to align their data with a more complex

bi implementing real time data warehousing  features available with certain BI applications, will force pre-existing and new data governance initiatives to adapt to new ways of handling and securing data that moves in different ways, whether inside or outside an organization’s firewalls. Any data governance initiative should be treated as a work in progress, requiring the evolving support of human and technological resources 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 real time data warehousing  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...
Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses
Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has

bi implementing real time data warehousing  with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive Read More...
Demystifying Data Science as a Service (DaaS)
With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been

bi implementing real time data warehousing  in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white paper to find out more about how data SaaS is set to become a Read More...
Addressing the Complexities of Remote Data Protection
As companies expand operations into new markets, the percentage of total corporate data in remote offices is increasing. Remote offices have unique backup and

bi implementing real time data warehousing  impact the performance and availability of the applications to perform the backup. Your mission-critical applications require the highest degree of protection and availability. For these systems, you should look for a solution that limits the amount of data you might lose, as well as the amount of time it takes to recover when something goes wrong. Risks There are many risks that can threaten your remote data (see Figure 3). First, there is the simple and all-too-often case of someone losing a file or Read More...
The Necessity of Data Warehousing
An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding

bi implementing real time data warehousing  and a number of BI tools for the individual users. A reasonable starting point for this set would be in the range of $100,000. Costs vary greatly based on vendor selection, number of seats purchased, software maintenance fees, and many other factors. In addition, consulting services drive the cost up immensely. A full blown, large-scale data warehouse in the terabyte range with hundreds of user licenses could cost tens of millions of dollars to implement and maintain. Conclusions Data Warehousing has Read More...
Data Center Projects: Project Management
In data center design projects, flawed management frequently leads to delays, expense, and frustration. Effective project management requires well-defined

bi implementing real time data warehousing  a common language, avoid responsibility gaps and duplication of effort, and achieve an efficient process with a predictable outcome. This paper presents a framework for project management roles and relationships that is understandable, comprehensive, and adaptable to any size project. Introduction In a project to build or upgrade data center physical infrastructure, a structured and standardized process provides the essential foundation for efficient project execution and a successfully deployed system. 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

bi implementing real time data warehousing  the creation of a bill of materials through post-sales service and repair, the consultants determined that the major process weakness was in the purchasing system, and more precisely, in the lack of an expediting system. In response, a more streamlined process was designed and training programs were recommended to improve the skills of all materials and procurement staff. Lacking current knowledge of state-of-the-art manufacturing systems, the company engaged another consulting firm to guide the company Read More...
MSI Data


bi implementing real time data warehousing  field service management,fsm 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

bi implementing real time data warehousing  As a result, the probability of processing bad data increases. Ultimately, quality data is the foundation of successful CRM implementation and accurate customer intelligence. Past experience and research show that 50 to 70 percent of many CRM initiatives should be devoted to data quality. Consequently poor data quality hampers a company''s ability to realize the return from their investment in a truly integrated CRM. Data quality, therefore, should not be considered a one-time exercise. It has to be Read More...

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