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Software Functionality Revealed in Detail
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 agile data warehousing tdwi


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

agile data warehousing tdwi  of the book “ Agile Data Warehousing ”. On the same topic of Agile methodology, Len Silverston and Claudia Imhoff, both recognized experts in data warehousing and data management will be talking about “ Mastering BI with Best-Practice Architectures and Data Models: From Hub and Spoke to Agile Development ”. Another number of sessions to look forward to regarding Agile BI are: •    “ Architecture and Technologies for Agile OLAP ” by John O´Brien, an expert in data architecture and analyti

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Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

Core HR

Core human resources (HR) includes the HR system of record that combines HR transactions, processes, and data. Main capabilities also include payroll management, benefits management, workforce management, and training management.  

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Documents related to » agile data warehousing tdwi

Notes from the TDWI Conference in San Diego, (Day 1)


The TDWI World Conference in San Diego has finally begun, and as a media partner, TEC will be covering this event in its entirety. The next series of brief posts will be dedicated to the conference’s highlights whose theme is “Creating an Agile BI Environment .”The Initial Keynote The official session began with a very interesting and “agile” opening key note by Wayne Eckerson called

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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 responsibilities for every manager, tight coordination among suppliers, well-defined procedures for managing change, and consistent terminology. Learn how enforcing these requirements can help your company achieve an efficient process with a predictable outcome.

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Data Quality Strategy: A Step-by-Step Approach


To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality.

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Data Center Projects: Advantages of Using a Reference Design


It is no longer practical or cost-effective to completely engineer all aspects of a unique data center. Re-use of proven, documented subsystems or complete designs is a best practice for both new data centers and for upgrades to existing data centers. Adopting a well-conceived reference design can have a positive impact on both the project itself, as well as on the operation of the data center over its lifetime. Reference designs simplify and shorten the planning and implementation process and reduce downtime risks once up and running. In this paper reference designs are defined and their benefits are explained.

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Big Data: Operationalizing the Buzz


Integrating big data initiatives into the fabric of everyday business operations is growing in importance. The types of projects being implemented overwhelmingly favor operational analytics. Operational analytics workloads are the integration of advanced analytics such as customer segmentation, predictive analytics, and graph analysis into operational workflows to provide real-time enhancements to business processes. Read this report to learn more.

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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 technology selection and access to historical 'legacy' data are also discussed.

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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’ 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.

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Paperless Warehousing


Paperless Warehousing Pty Limited was incorporated in 1988 by two of the existing Directors with a vision to overhaul traditional warehousing operations by improving the logistics processes inside and outside the four walls of a warehouse thus providing Companies with a market advantage. Based in Sydney, Australia, Paperless Warehousing offers a wealth of experience, solidarity and dependability in Warehouse and Transport Management Systems. All our people are employees and are practitioners of the Logistics industry who know our products in depth and act as the quality control department for our developers. They are not outside consultants and are all housed in the same office in Sydney which creates an energy-filled atmosphere for the development and cross fertilisation of future enhancements. At Paperless Warehousing we have improved and modernised workflow by digitising the traditional paper based activities and replacing them with them with real time Radio Frequency Scanned or Interactive Voice Directed Tasks and/or RFID all within the same package. We have successfully implemented numerous major projects in various industry sectors across Australia and our software has been implemented in over 12 countries.

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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 the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process.

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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 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.

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