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Captured by Data
The benefits case for enterprise asset management (EAM) has been used to justify huge sums in EAM investment. But to understand this reasoning, it is necessary

define analyze data  term generally used to define the routine activities to sustain standards of performance throughout the in-service, or operational, part of the asset life cycle. In doing this, the maintenance policy designer needs to take account of a range of factors. These include the complexities of the operating environment, the available resources for performing maintenance, and the ability of the asset to meet its current performance standards. In the past, this would be the extent of the maintenance analysts' Read More...
Customer Relationship Management (CRM)
Customer relationship management (CRM) focuses on the retention of customers by collecting all data from every interaction, every customer makes with a company from all access points whether they a...
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Documents related to » define analyze data


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

define analyze data  and Business Owners who define what is needed. If you have internal data tools already implemented, then use them. If you don't, then don't run out and buy one just for this project. Implementing a PIM or PDM, is a whole separate project. Most vendors will only import clean data, so you still have to do the hard work first. Not to worry, most any technical analyst can link to tables via ODBC and extract out the data needed for analysis. Most data cleansing vendors have built their own proprietary tools 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

define analyze data  Identifiers — These identifiers define a business entity's master system of record. As you bring together data from various data sources, an organization must have a consistent mechanism to uniquely identify, match, and link customer information across different business functions. While data connectivity provides the mechanism to access master data from various source systems, it is the Total Data Quality process that ensures integration with a high level of data quality and consistency. Once an Read More...
GXS Acquires HAHT Commerce for More Synchronized Retail B2B Data Part One: Event Summary
GXS, a business to business e-commerce pioneer, announced its acquisition of channel management specialist HAHT Commerce. However, despite a good complementary

define analyze data  Acquires HAHT Commerce for More Synchronized Retail B2B Data Part One: Event Summary Event Summary A refutation of the claim that the ongoing consolidation in the enterprise application space has of late largely been about pilfering install base, increasing market share, and saving the costs of economy of scale -based product, might be the recent merger of two players in the business-to-business (B2B) e-commerce arena, which claim that the rationale for their merger is to provide a more comprehensive Read More...
Comparing Business Intelligence and Data Integration Best-of-breed Vendors' Extract Transform and Load Solutions
There are two types of extract transform and load (ETL) vendors. Business intelligence (BI) vendors integrate ETL functionality into their overall BI framework,

define analyze data  and to create and define their own business rules to automatically monitor data standards. Also, Trillium software generates entity-relationship diagrams; creates a central repository of data, metadata, statistics, rules, and documentation; and has drill down capabilities down to individual rows of data. Additionally, continuous data profiling, cleansing, and monitoring activities, plus data filter and search capabilities are provided. Conclusion Depending on an organization's data requirements and its Read More...
The Path to Healthy Data Governance
Many companies are finally treating their data with all the necessary data quality processes, but they also need to align their data with a more complex

define analyze data  must include the following: Define and monitor how the data is managed Define all the necessary data requirements Determine the necessary cross-functional interactions Thoroughly document all data governance policies The potential benefits derived from the deployment and execution of a governance initiative are several: Reduce the amount of time for the compilation of information Reduce data redundancy Promote responsible control of sensitive data and information assets Improve the process of managing and Read More...
MSI Data


define analyze data  field service management,fsm 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

define analyze data  data protection,data backup,2012 data statistics,data loss,business data backup Read More...
Data Management and Analysis
From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it

define analyze data  data management analysis software selection,data analysis management solution evaluation,compare most accurate data tools, statistics application selection,statistical methods,improve data management and analysis,rfp to manage data,ecm software evaluation,information security is,compare information security systems,document management systems,dms,dms selection,is solution comparisons,product information management solution selection,pim,enterprise content management ecm,electronic media files,pim solution selection,compare top access control files software,security,evaluate data delivering systems,business analysis reports,dmag,analyse statistics,methodology,evaluate information security systems. Read More...
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

define analyze data  viability of the idea, define the scope and constraints of the project, and launch the project. Planning management spans the twophase PLAN half of the process, up to the point where a purchase order is executed, which marks the start of the BUILD half of the process. The planning activity covered by this role is described in APC White Paper #142, Data Center Projects: System Planning Installation Management Installation management covers the on-site activity that receives and installs the physical equi Read More...
Understanding the PCI Data Security Standard
The payment card industry data security standard (PCI DSS) defines a comprehensive set of requirements to enhance and enforce payment account data security in a

define analyze data  DSS is designed to define a comprehensive set of requirements to enhance and enforce payment account data security. As such, the PCI DSS covers a broad range of topics, tools, processes and procedures. Requirements within the PCI DSS include security management, policies, procedures, network architectures, software design and other protective measures. This standard is designed to provide proactive rather than passive protection. The PCI Security Standards Council documents 12 specific requirements spread Read More...
Achieving a Successful Data Migration
The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data

define analyze data  set of validation rules defined in the target application, the data load will fail. Bad data in the target application can impact business processes after a go-live and necessitate costly manual fixes. Organizations must establish user confidence in the data. In order to fully trust data, business users want the ability to trace it, to find out where it came from and how it was changed. This requires some form of data lineage capability, such as metadata management. Data profiling, validation, and clean Read More...
2013 Big Data Opportunities Survey
While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry

define analyze data  big data,analytics,Unisphere Research,big data survey,data manager survey,big data challenges,big data initiatives Read More...
The Advantages of Row- and Rack-oriented Cooling Architectures for Data Centers
The traditional room-oriented approach to data center cooling has limitations in next-generation data centers. Next-generation data centers must adapt to

define analyze data  shorter and more clearly defined. In addition, airflows are much more predictable, all of the rated capacity of the CRAC can be utilized, and higher power density can be achieved. The row-oriented architecture has a number of side benefits other than cooling performance. The reduction in the airflow path length reduces the CRAC fan power required, increasing efficiency. This is not a minor benefit, when we consider that in many lightly loaded data centers the CRAC fan power losses alone exceed the total I Read More...

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