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Documents related to » bi data warehouse architecture


The Data Warehouse Institute (TDWI) Conference in San Diego: The Agile Approach to Business Intelligence (BI)
Next month a TDWI World Conference will be taking place in San Diego, California. What’s so special about this conference anyway? The answer is simple:  the

bi data warehouse architecture  The Conference and Agile BI Besides the data warehousing and BI core concept courses, there will be an interesting myriad of events taking place in the conference to address possible ways to apply the agile methodology to BI solutions. It will begin with presentations from Wayne Eckerson (“ The Secrets of Creating an Agile, Adaptable BI Environment ”) and Ken Collier (“ Katabatic Winds of Business Intelligence ”), and there will be a promising set of training sessions given by Ralph Huges, an Read More...
Ask the Experts Question: Do Organizations Really Need a Physical Data Warehouse Structure?
We recently had a question from one of our readers (through our Ask the Experts page) discussing QlikView’s approach to data collection.Reader’s Question

bi data warehouse architecture  approach to deliver in-memory BI and data analysis capabilities. Other vendors like SAP , Teradata , and even Microsoft with its Project Gemini , are catching up with in-memory technologies. We think it’s definitely possible to apply in-memory technologies to BI, and in the near future we will be seeing more and more use of this kind of technology. But data will still need a place where it can be loaded from (i.e., a data warehouse), and I’m not sure that loading it directly from the operational Read More...
Unlocking Hidden Value from Investments in SAP NetWeaver Business Warehouse
Extending the capabilities and value of SAP NetWeaver Business Warehouse is a concern for users. To improve data use and fact-based decision making, and reduce

bi data warehouse architecture  Data Warehousing Software | BI Data Warehousing | Data Warehousing Companies | Enterprise Data Warehousing | Data Warehousing Information | Data Warehousing Technology from SAP | Cognos Data Warehousing | Data Warehousing Consulting | SAP Netweaver White Paper | Technology Evaluation Software White Paper | TEC Evaluation | TEC BI Evaluation Software | Data Warehousing Best Practices | ETL in Data Warehousing | Data Warehousing White Papers | Data Warehousing Methodology | Data Warehousing Strategy | New Read More...
Distilling Data: The Importance of Data Quality in Business Intelligence
As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence

bi data warehouse architecture  primary purpose of a BI solution is to provide a business with the necessary information to support better decision making. This requires the integration of data within and external to an enterprise. A sound data quality strategy protects an enterprise from inconsistencies and anomalies that arise from the complexity of integrating multiple systems and from hidden problems that are uncovered only through sophisticated analysis techniques. Data quality solutions provide organizations with the ability to Read More...
The Truth about Data Mining
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data

bi data warehouse architecture  the components of Microsoft''s BI suite. It includes several data mining algorithms developed through collaboration between the Microsoft research and SQL Server product teams. SQL Server data mining integrates with other parts of the BI suite: analysis services, integration services, and reporting services. In Conclusion It is essential to lay the groundwork for the complex process of data mining. This includes having a thorough understanding of business data entities and their interrelationships. In 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 data warehouse architecture  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...
Mobile BI: Features, Challenges, and Opportunities
What does your organization need to consider when adopting a mobile business intelligence (BI) or business analytics strategy? What are the enablers, challenges

bi data warehouse architecture  opportunities of a mobile BI strategy implementation? In this report, we explore considerations for deploying a mobile BI solution, how to leverage this type of platform to best advantage, and why a mobile BI/analytics solution can be a valuable asset for your company. Read More...
How to Comply with Data Security Regulations
A remote data backup solution can be compliant with almost any international, federal, or state data protection regulation@and can be compliant with the common

bi data warehouse architecture  Database Backup Solutions | Bizdomain Data Storage Security | Bizdomain Data Center Protection | Bizdomain Best Data | Bizdomain Backup Program | Bizdomain Advanced Encryption Standard | Best Encryption Software | Best Data Back Up | Best Backup Software | Backup Tape Storage | Backup Storage | Backup Solutions | Backup Solution | Backup Software Review | Backup Shareware | Backup Programs | Backup Program | Backup Mass Data Storage | Backup Encryption | Backup Disaster Recovery | Backup Data Remote Read More...
The Data Warehouse RFP
If you don’t have a data warehouse, you’re probably considering drafting a request for proposal (RFP) to screen vendors and ensure that your receive

bi data warehouse architecture  Data Warehouse RFP If you don’t have a data warehouse, you’re probably considering drafting a request for proposal (RFP) to screen vendors and ensure that your receive satisfactory information about the features of various hardware and software and their price. Writing an effective RFP that is well structured and includes different metrics will ensure that you receive the information you need and will make you look good. 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

bi data warehouse architecture  Customer Data Quality | BI Data Quality | BI Data Quality Analysis | BI Data Quality Articles | BI Data Quality Assessment | BI Data Quality Business Intelligence | BI Data Quality Center | BI Data Quality Control | BI Data Quality Improvement | BI Data Quality Indicator | BI Data Quality Indicators | BI Data Quality Initiatives | BI Data Quality Issues | BI Data Quality Management | BI Data Quality Measurement | BI Data Quality Measures | BI Data Quality Methodology | BI Data Quality Methods | BI Data Qu Read More...
Architecture-Centered Information Systems In The Manufacturing Domain - Part II - The Architecture Process
Architecture bridges the semantic gap between the requirements and software. Application software systems must be architected in order to deal with the current

bi data warehouse architecture  for capturing, defining, and describing the system architecture is an arbitrary decision. The following methodology is used as an example. Other methodologies can be used as long a they provide a sufficiently rich set of artifacts needed to articulate the requirements and the solutions that meet those requirements Figure 1 describes the process by which the architecture of the system is discovered, verified, and deployed. This methodology provides a broad framework in which systems architecture can be Read More...
Data Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise
While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to

bi data warehouse architecture  Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help. BEG 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

bi data warehouse architecture  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 Quality: A Survival Guide for Marketing
Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge

bi data warehouse architecture  Quality: A Survival Guide for Marketing Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more. Read More...

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