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Documents related to » enterprise data warehousing bi


A Definition of Data Warehousing
There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing

enterprise data warehousing bi  data warehouses are generally enterprise in scope. Also, data warehouses can be volatile. Due to the large amount of storage required for a data warehouse, (multi-terabyte data warehouses are not uncommon), only a certain number of periods of history are kept in the warehouse. For instance, if three years of data are decided on and loaded into the warehouse, every month the oldest month will be rolled off the database, and the newest month added. Ralph Kimball provided a much simpler definition of a dat Read More...
Microsoft Goes Their Own Way with Data Warehousing Alliance 2000
Microsoft Corp. (Nasdaq: MSFT) today announced that 47 applications and tools from 39 vendors throughout the industry have qualified for Microsoft« Data

enterprise data warehousing bi  umbrella term for its enterprise network architecture based on COM and Windows 2000 (NT 5.0)). The Windows DNA platform is advertised as Microsoft''s comprehensive platform for building Web applications. We believe this will only serve to further fragment the data warehousing market. Obviously, Oracle is not a member of this alliance, and other applications show spotty representation. For example, in the enterprise resource planning space, Baan NV is represented, but SAP AG and PeopleSoft are not. In Read More...
BI Portal from Enterprise Software Solutions Is Now a TEC Certified Application
Business Intelligence Portal (BI Portal) from Enterprise Software Solutions (ESS) has become part of TEC’s group of certified BI applications, and is now

enterprise data warehousing bi  Portal (BI Portal) from Enterprise Software Solutions (ESS) has become part of TEC’s group of certified BI applications, and is now available for online evaluation in comparison with other BI software solutions in TEC’s Business Intelligence and Data Management Evaluation Center . ESS, a US-based software provider with offices in Mexico, Colombia, South Africa, and Bulgaria, is the major player behind a new breed of BI and analytics solutions. The company’s BI product portfolio, of which BI Portal Read More...
TDWI Vegas: How to Build an Enterprise Data Strategy
It takes a lot of commitment, preparation, and time to fully embrace a successful enterprise data strategy. Managing data within a corporation has reached an

enterprise data warehousing bi  How to Build an Enterprise Data Strategy It takes a lot of commitment, preparation, and time to fully embrace a successful enterprise data strategy. Managing data within a corporation has reached an all-new level of importance. Data is being collected from extremely diverse sources and fully dissected; as the subject of increasingly complex processes, data quality must be maintained. In addition, data management and manipulation must comply with several types of regulations. Data is now an extremely 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

enterprise data warehousing bi  its way to an enterprise data warehouse or data marts, a data quality framework creates a screening process that measures the purity of the data and corrects any inconsistencies found. This article walks the reader through a typical data quality strategy by illustrating, through examples, how and where quality issues occur, and the approaches available to inhibit the proliferation of these issues. We look at a subset of vendors that provide powerful and rich solutions to protect enterprise data quality. Read More...
Role of the CFO in Enterprise Performance Management
The white paper enterprise performance management: financial excellence and beyond explores the business realities driving this evolution, and show...

enterprise data warehousing bi  of the CFO in Enterprise Performance Management As fast as business is changing, the role of the CFO seems to be evolving even faster. Day by day, the CFO is becoming more and more a change agent and strategic advisor to the CEO . The white paper Enterprise Performance Management: Financial Excellence and Beyond explores the business realities driving this evolution, and shows how financial performance management software can help the modern CFO: maximize corporate profitability protect the company from Read More...
Taking Collaboration to the Next Level: Moving from Your Document-centric Enterprise 1.0 to the People-centric World of Enterprise 2.0
It would be a mistake to think that Web 2.0 is all about technology—and similarly so for Enterprise 2.0. But it would also be a mistake to dismiss the

enterprise data warehousing bi  Moving from Your Document-centric Enterprise 1.0 to the People-centric World of Enterprise 2.0 It would be a mistake to think that Web 2.0 is all about technology—and similarly so for Enterprise 2.0. But it would also be a mistake to dismiss the technology altogether. The selection and implementation of enterprise social software solutions and real-time collaboration solutions requires careful thought, consideration, and planning. Find out more, in this IBM white paper. Download now. 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

enterprise data warehousing bi  third-party data with the enterprise application. Overall, some of the available techniques are Data-validating process rules Centralized database Data cleansing technology Data scrubbing Data scrubbing is the process of fixing or eliminating individual pieces of data that are incorrect, incomplete or duplicated before the data is passed to a data warehouse or another application. The aim of data scrubbing is two-fold: eliminate errors and redundancy, and bring uniformity to different data sets that may Read More...
BI on the Go . . . So, Who’s Using Mobile BI?
In this first of two posts, TEC senior BI and data management analyst Jorge García presents some of the main findings of the TEC 2014 mobile survey on the usage

enterprise data warehousing bi  traditional player in the enterprise resource planning (ERP) space which has been growing its BI presence; and, last but not least, an experienced BI player from the open-source community, Pentaho , which now has a robust mobile BI solution covering most, if not all, the aspects of an enterprise BI solution. Who’s using mobile BI and how? We also wanted to determine who is using mobile BI solutions and which mobile BI applications. When we took our top 10 provider list and segmented it in terms of the Read More...
Enterprise Scheduling ROI
Workload automation using an enterprise scheduling system can simplify the tasks of job scheduling and monitoring processes across multiple servers. This white

enterprise data warehousing bi  Workload automation using an enterprise scheduling system can simplify the tasks of job scheduling and monitoring processes across multiple servers. This white paper looks at the things to consider while calculating your return on investment (ROI) when deciding to invest in an enterprise scheduler, such as the cost of the implementation process, time spent on manual processes that could be computerized or automated, frequency of errors due to a lack of scheduling, and consolidation of staff as well as 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

enterprise data warehousing 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...
Scalable Data Quality: A Seven-step Plan for Any Size Organization
Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but

enterprise data warehousing bi  the size of the enterprise; from a local florist to and multi-national conglomerate. In fact, data quality is probably even more crucial for the small to medium-sized business or organization than it is to the large corporation. Not only does each customer potentially represent a much larger percentage of a small business''s sales volume but smaller businesses are generally expected to deliver a higher degree of personal service. Therefore, every misdirected or undelivered piece of mail has a greater 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

enterprise data warehousing bi  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 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 Read More...
Lean Enterprise in Complex ETO
This paper demonstrates how IFS Business Modeler and IFS Applications support the principles of developing a lean enterprise, normally associated with

enterprise data warehousing bi  Enterprise in Complex ETO This paper demonstrates how IFS Business Modeler and IFS Applications support the principles of developing a lean enterprise, normally associated with repetitive manufacturing, for engineer-to-order (ETO) organizations. It demonstrates how process improvements apply equally to office-based functions as they do to manufacturing, installation, and service activities. Read More...
Meet PCI DSS Compliance Requirements for Test Data with Data Masking
Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a

enterprise data warehousing bi  PCI DSS Compliance Requirements for Test Data with Data Masking Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more. Read More...

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