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Documents related to » data warehouse architecture bi


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

data warehouse architecture bi  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 general topic is going to be “Creating an Agile BI Environment”. Progressively in the last four or five years, the agile software development methodology has been jumping from the software development area to the data warehouse space, as 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

data warehouse architecture bi  Data Warehousing Solutions | Data Warehouse Area | SAP BI Solution | Extraction Transformation and Load | ETL Layer | Data Reporting | Data Migration | SAP Business Intelligence Tools | BW Accelerator | Business Intelligence Data Warehouse | BI Accelerator | Business Intelligence Software Providers | Online Analytical Processing | Data Warehouse Software | Business Intelligence Reporting Software | Business Intelligence White Paper | Ad-hoc Data Marts | Avoid Stranded Data | SAP Netweaver Advantages | 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

data warehouse architecture bi  the presence of a data warehouse or data store containing organizational data. Although data mining can be applied to a wide range of data sources, it is beneficial to start with a data warehouse in which facts and dimensions have been identified and a data cleansing framework is in place in order to ensure good data quality. 1. The Knowledge Base The crust of a data mining system is an organization''s knowledge base. This is the domain knowledge that describes an organization''s data. It includes 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

data warehouse architecture bi  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 “QlikView says its innovative way of collecting data and not needing a physical data warehouse (DW) structure is the right thing to do in DW/business intelligence (BI) solutions. Can one expect to build a sustainable / scalable corporate data warehouse through such an approach?” TEC Analyst 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

data warehouse architecture bi  opportunities. Even with a data warehouse that is well designed and equipped with the best tools for business intelligence (BI), users will encounter inefficiency and frustration if the quality of data is compromised. When embarking on a data warehousing or business intelligence project, it is essential for organizations to emphasize the quality of data that is used for analysis and subsequent decision making. As data captured from a multitude of sources makes its way to an enterprise data warehouse or Read More...
Business Intelligence Portal (BI Portal) : Business Intelligence (BI) Competitor Analysis Report
This business intelligence (BI) knowledge base covers a full range of BI functionality. BI applications enable real time, interactive access, analysis, and

data warehouse architecture bi  base covers everything from data mining to analytics, querying, reporting, workflow, and in-depth analysis. Read More...
1010data Big Data Warehouse
Designed originally to solve Big Data analytics problems for companies like the New York Stock Exchange, the 1010data platform is a unique approach to data

data warehouse architecture bi  Big Data Warehouse Designed originally to solve Big Data analytics problems for companies like the New York Stock Exchange, the 1010data platform is a unique approach to data exploration. Built from scratch to deliver instant access to all the raw data in gigantic datasets, 1010data analytics offers a revolutionary a cloud-based platform that unifies data and analytics and provides a single repository for critical information assets. Read More...
How to Solve Your Warehouse Woes
Today’s manufacturers and distributors are under immense pressure to ensure their warehouse and supply chain activities are continually operating at peak

data warehouse architecture bi  options (such as portable data terminals [PDTs]) to help prioritize picking and order-processing). Where Do I Start? To determine which WMS accurately reflects the scope of your operations, you’ll need to evaluate several warehouse management solutions to determine which system will best accommodate the needs of your warehouse’s network. The WMS you choose should provide database and user-level tools in order for your organization to optimize its storage facilities while providing user-level task Read More...
A Roadmap to Data Migration Success
Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources,

data warehouse architecture bi  Roadmap to Data Migration Success Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources, to a new target database. Effective planning and scoping can help you address the associated challenges and minimize risk for errors. This paper provides insights into what issues are unique to data migration projects and to offer advice on how to best approach them. 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

data warehouse architecture bi  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, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value. 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

data warehouse architecture bi  the Complexities of Remote Data Protection Because data protection is a concern for organizations of all sizes, IBM offers remote data protection for the enterprise, as well. This high performance and easy-to-use service delivers consistent and cost-effective data protection without increased network investment. Source: IBM Resources Related to Addressing the Complexities of Remote Data Protection : Continuous Data Protection (CDP) (Wikipedia) Addressing the Complexities of Remote Data Protection 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

data warehouse architecture bi  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’ future success. Virtualization has come to the foreground, yet it also creates headaches for data center and facilities managers. Read about aspects of creating a strategy for a flexible and effective data center aimed to carry your business forward. Read More...
Overall Approach to Data Quality ROI
Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company

data warehouse architecture bi  Approach to Data Quality ROI Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI. Read More...
Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management
Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in

data warehouse architecture bi  the Supply Chain-Focusing on Data Quality and Master Data Management Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset. Read More...
Warehouse Management Systems: Pie in the Sky or Floating Bakery?Part Two: The Pareto Principle, Processes, and People: Assessing Your Warehouse Management System Needs
To ensure your warehouse management system is implemented as painlessly as possible, you must assess your warehouse situation before you decide on a warehouse

data warehouse architecture bi  with all kinds of data about their product and how it is perfect for your company. You have to sift through the minutiae and determine what is best for you and your company. It is not a race to get the system purchased fast! Remember you are purchasing a relationship that will last for many years and you have to make sure that relationship is based on a solid foundation and not on the company with the best sales representative and marketing material. Evaluate your personnel. This is crucial. If you find Read More...

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