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Documents related to » ability to keep a log with facilities such as a configurable data retention period


Infor EAM for Facilities


ABILITY TO KEEP A LOG WITH FACILITIES SUCH AS A CONFIGURABLE DATA RETENTION PERIOD: Infor EAM for Facilities, EAM, enterprise asset management, Infor EAM, facilities management, work orders, purchasing, inventory, preventive management, work management, materials management, alert management.
8/6/2013 12:33:00 PM

Six Steps to Manage Data Quality with SQL Server Integration Services
Six Steps to Manage Data Quality with SQL Server Integration Services. Read IT Reports Associated with Data quality. Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.

ABILITY TO KEEP A LOG WITH FACILITIES SUCH AS A CONFIGURABLE DATA RETENTION PERIOD: Six Steps to Manage Data Quality with SQL Server Integration Services Six Steps to Manage Data Quality with SQL Server Integration Services Source: Melissa Data Document Type: White Paper Description: Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in
9/9/2009 2:32:00 PM

Four Critical Success Factors to Cleansing Data
Four Critical Success Factors to Cleansing Data. Find Guides, Case Studies, and Other Resources Linked to Four Critical Success Factors to Cleansing Data. Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology.

ABILITY TO KEEP A LOG WITH FACILITIES SUCH AS A CONFIGURABLE DATA RETENTION PERIOD: Simply put data impacts: Ability to process orders Ability to share data among internal systems Ability to share data electronically with external sources Reliable reports Correct information for good decision making At a 2004 UCCNet conference, a presenter from Wal-mart stated that only 30% of their EDI orders are able to processed automatically. The other 70% requires someone at Wal-mart to manually manipulate the data inputs into their system. Data Quality problems will cost U.S. businesses more than
1/14/2006 9:29:00 AM

Data Quality: A Survival Guide for Marketing
Data Quality: a Survival Guide for Marketing. Find Free Blueprint and Other Solutions to Define Your Project In Relation To Data Quality. The success of direct marketing, measured in terms of qualified leads that generate sales, depends on accurately identifying prospects. Ensuring data accuracy and data quality can be a big challenge if you have up to 10 million prospect records in your customer relationship management (CRM) system. How can you ensure you select the right prospects? Find out how an enterprise information management (EIM) system can help.

ABILITY TO KEEP A LOG WITH FACILITIES SUCH AS A CONFIGURABLE DATA RETENTION PERIOD: field is blank, your ability to deliver the message is impacted. Second, if a field such as title, salutation, job code, or ethnicity is blank, your ability to segment prospects into the correct categories or demographics is impacted. And third, if any of those fields–and others like social security, account number, log-in ID, or account name–are blank, your ability to identify similar or related records across systems, or even within the same repository, is impacted–accentuating your duplicate reco
6/1/2009 5:02:00 PM

Oracle Database 11g for Data Warehousing and Business Intelligence
Oracle Database 11g for Data Warehousing and Business Intelligence. Find RFP Templates and Other Solutions to Define Your Project In Relation To Oracle Database, Data Warehousing and Business Intelligence. Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and data-quality. Get an overview of Oracle Database 11g’s capabilities for data warehousing, and learn how Oracle-based BI and data warehouse systems can integrate information, perform fast queries, scale to very large data volumes, and analyze any data.

ABILITY TO KEEP A LOG WITH FACILITIES SUCH AS A CONFIGURABLE DATA RETENTION PERIOD: of RAC is the ability to dynamically change and adjust these workloads. One could easily and dynamically allocate more nodes to ETL processing at nighttime, for example, while re-allocating those nodes to query processing during the day. Parallelism Parallelism is the ability to leverage multiple processors towards the execution of a s single database operation. Oracle’s scalable parallel execution architecture dynamically adjusts to meet all user demands. For large operations, Oracle parallelizes datab
4/20/2009 3:11:00 PM

Infor s Big Data Cloud in the Sky » The TEC Blog
platform will support application interoperability and data transition between on-premises and cloud solutions. In addition, it will be powered by the ION BI stack, incorporating industry and role best practices built on Infor ION Business Vault —a repository of standard business documents and transactional data that is exchanged between multiple enterprise systems. Corporate data is all too often fragmented across diverse commercial, legacy, and custom applications. Using ION, customers can extract

ABILITY TO KEEP A LOG WITH FACILITIES SUCH AS A CONFIGURABLE DATA RETENTION PERIOD: amazon redshift, bi, big data, Cloud, ERP, industry watch, infor, infor 10x, infor ion, infor mingle, infor sky vault, inforum 2013, sap hana, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
02-05-2013

The Why of Data Collection
Data collection systems work; however, they require a investment in technology. Before the investment can be justified, we need to understand why a data collection system may be preferable to people with clipboards.

ABILITY TO KEEP A LOG WITH FACILITIES SUCH AS A CONFIGURABLE DATA RETENTION PERIOD: The Why of Data Collection The Why of Data Collection Olin Thompson - November 3, 2005 Read Comments Introduction Data collection systems work. However, they mean an investment in technology. Before we can justify that investment, we need to understand why we may want to use a data collection system in place of people with clipboards. What is data collection? In a general sense, it is the manual or automated acquisition of data. That definition has evolved to mean various automated methods of data
11/3/2005

Data Quality Strategy: A Step-by-step Approach
Success start with data quality strategy: a step-by-step approach.Read Technology Evaluation Centers (TEC) whitepapers. To realize the full 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. The companies that approach this issue strategically are the companies that will be successful. Learn the six factors that go into a good data quality strategy, and find out how to go from strategy to implementation.

ABILITY TO KEEP A LOG WITH FACILITIES SUCH AS A CONFIGURABLE DATA RETENTION PERIOD: be assessed for its ability to support the project. Is the model scalable and extensible? What adjustments to the model are needed? For instance, field overuse is one common problem encountered in a data quality initiative that requires a model change. This can happen with personal names—for example, where pre-names (Mr., Mrs.), titles (president, director), and certifications (CPA, PhD) may need to be separated from the name field into their own fields for better customer identification. Factor 3:
1/25/2010 1:13:00 PM

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, 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.

ABILITY TO KEEP A LOG WITH FACILITIES SUCH AS A CONFIGURABLE DATA RETENTION PERIOD: A Roadmap to Data Migration Success A Roadmap to Data Migration Success Source: SAP Document Type: White Paper Description: 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
3/16/2011 11:27:00 AM

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. 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.

ABILITY TO KEEP A LOG WITH FACILITIES SUCH AS A CONFIGURABLE DATA RETENTION PERIOD: Overall Approach to Data Quality ROI Overall Approach to Data Quality ROI Source: SAP Document Type: White Paper Description: 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
3/16/2011 5:34:00 PM

Role of In-memory Analytics in Big Data Analysis
Organizations today need to handle and manage increasingly large volumes of data in various formats and coming from disparate sources. Though the benefits to be gained from analysis of such big data are immense, so are the inherent challenges, including need for rapid analysis. In his article, TEC BI analyst Jorge García discusses how in-memory analytics helps address these challenges and reap the benefits hidden in big data.

ABILITY TO KEEP A LOG WITH FACILITIES SUCH AS A CONFIGURABLE DATA RETENTION PERIOD: on RAM. And the scalability and parallelization of processors enable in-memory technologies to take advantage of the improved performance of larger sets of RAM available. For a comprehensive analysis of some of the important principles and concepts in-memory technologies, I urge you to read an article titled In-Memory Analytics: A Multi-Dimensional Study written by my colleague Anna Mallikarjunan. Products with in-memory capabilities are not something new to the software industry. For example, the vendor
3/20/2012 10:25:00 AM


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