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Business Intelligence (BI)
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Documents related to » critical technical 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

critical technical data  be 100% clean on critical (shared) data. Many customers, such as DOD or Wal-mart are threatening fines if data is not clean. Do you have any internal business intelligence tools, Product information management tools? If so, these will make the physical data pulls, and cleansing steps easier. If not, no big deal, you just need to be aware that you will have some overhead for some behind the scenes technical tasks that are required in the process. Dirty data manifests itself in many different anomalies, Read More...
E-mail Archiving: A Business-critical Application
Small and medium businesses are especially vulnerable to disruptions caused by e-mail loss, compliance demands, and the threat of e-discovery. Yet these

critical technical data  and written confirmation of critical business information. If you believe your business is overwhelmed with email, you are not alone. Nonetheless, it is an efficient platform for conducting business activities. Reliance on email for conducting everyday business is now an unavoidable necessity. Along with this increasing reliance on email come significant risks and challenges such as securing, retaining and enforcing proper use of electronic communication. Email archiving helps to address these challenges Read More...
SQL Server Technical Briefing
iSCSI storage area networks (SANs) offer an alternative for building SANs. Consolidating storage in a SAN offers storage management and scaling benefits for

critical technical data  configuration and operation are critical to overall SQL operations and performance. Whether you select Fibre Channel or gigabit Ethernet connectivity for your SAN, proper storage configuration is key to effective SQL Server performance and reliability. Historically, larger SAN deployments relied on Fibre Channel storage networking; recently iSCSI has become available across a variety of enterprise storage arrays, offering a wide variety of choices for SAN storage. iSCSI can be deployed for any size Read More...
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

critical technical data  and unacceptable failures However, critical failures, those that cause an asset to underperform, have unacceptable consequences and cannot always be managed in a similar way. For example, if a failure has high operational impact or economic consequences, then allowing it to fail prior to determining how to manage them is actively counterproductive to the aims of cost-effective asset management. Moreover, recent history reinforces the fact that failure of assets can lead to consequences for safety or Read More...
Minimizing the Total Cost of Technical Support for Enterprise Applications
Many organizations don’t follow formalized processes for technical support evaluation. However, technical support is a vital component of any enterprise

critical technical data  enterprise and vendor is critical to minimizing the risk of having a bad technical support plan. Anatomy of Opportunity Costs Now that the direct costs have been established, the second type of cost in selecting the support plan is the opportunity cost. As mentioned above, opportunity cost is defined as the foregone opportunity of having one benefit over another. For instance, consider an individual with particular skills and a certain level of education, who receives a job offer. This individual can Read More...
Data Pro Accounting Software
Data Pro Accounting Software, Inc., privately owned, is based in St. Petersburg, Florida and was originally incorporated in June of 1985. The goal of the

critical technical data  crm data modeling,data flow,data flow diagram,data flow diagram examples,data flow diagram sample,data flow diagram software,data flow diagrams,data flow digram,data mining algorithm,data pro accounting software,data processing,sample data flow diagram,sample of data flow diagram,what is data,what is data structure Read More...
Data Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security
Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all

critical technical data  security solutions can be critical tools for enterprises wanting to secure not only their data—but also their status in the marketplace. Read More...
Data Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics
Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident

critical technical data  spend analytics,performance management software,spend analyses,supplier risk assessments,data enrichment and classification Read More...
MSI Data


critical technical data  field service management,fsm 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

critical technical data  customer data quality,data cleansing service,data integration system,data cleansing services,data profiling,data profiling software,data quality,data cleansing software,data governance,data integration 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

critical technical data  in Table 2 as critical cooling-related issues. The effectiveness of the different architectures in addressing these challenges is summarized as well. Lifecycle cost challenges Data center users have identified the lifecycle cost challenges shown in Table 3 as high priority coolingrelated issues. The effectiveness of the different architectures in addressing these challenges is summarized as well. Serviceability challenges Data center users have identified the serviceability challenges shown in Table 4 as 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

critical technical data  profiling becomes even more critical when working with raw data sources that do not have referential integrity or quality controls. There are several data profiling tasks: column statistics, value distribution and pattern distribution. These tasks analyze individual and multiple columns to determine relationships between columns and tables. The purpose of these data profiling tasks is to develop a clearer picture of the content of your data. Column Statistics — This task identifies problems in your Read More...
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

critical technical data  DCIM, data center, data center infrastructure management, DCIM management, DCIM software, DCIM software tools, IT, IT infrastructure, APC by Schneider Electric, facility operations and maintenance, data center life cycle, data center facility operations, data center PUE, PUE, data center reference design Read More...
The Evolution of a Real-time Data Warehouse
Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine

critical technical data  with parallel operation capability, mission-critical availability, and ease of integration. With support from symmetric multiprocessing (SMP), massively parallel processing (MPP), and its own tools and utilities such as Tpump, FastLoad, MultiLoad, data is loaded continuously. Also, the Teradata Replication Services are used for real-time capture and delivery of changed data. Vertica The Vertica Analytic Database is a column-oriented, MPP architecture-based database that handles new generation data warehou Read More...
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

critical technical data  etl data,data warehouse etl,etl software,data warehousing etl,etl technology,etl solutions,extract transform load,data integration,etl system,intranet software,etl process,the data warehousing institute,data warehouse and business intelligence,data warehousing and business intelligence,data warehouse training Read More...

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