Home
 > search for

Featured Documents related to »  critical technical data

Business Intelligence (BI)
Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications pro...
Start evaluating software now
Country:

 Security code
Already have a TEC account? Sign in here.
 
Don't have a TEC account? Register here.

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...
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...
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...
Critical Components of an E-PLM System
E-business has prompted a lot of vendors to move towards creating electronic product lifecycle management (e-PLM) suites. However, enterprise resource planning

critical technical data  of part serial numbers critical to meeting regulatory requirements in the A&D industry. In the product life cycle, workflow differs at various stages of a product''s life. In addition, different information technology (IT) systems will integrate with an e-PLM application for development, manufacturing, and MRO activities. The capability to automate the workflow of tasks for the people that need it and to seamlessly pass data between IT systems is necessary for e-PLM to be successful. Productivity gains Read More...
Access to Critical Business Intelligence: Challenging Data Warehouses?
There is a perception that if business users are given access to enterprise databases and raw query tools, they will create havoc in the system, which is a

critical technical data  to Critical Business Intelligence: Challenging Data Warehouses? Direct Access Rather Than a DW for Mid-Market? For a long time, data warehousing used to be synonymous with business intelligence (BI), to the extent that there is a deep ingrained belief that BI cannot be conducted without a data warehouse (DW). Indeed, when companies are dealing with a deluge of data, it helps to have a DW, since it offers large corporations the ability to leverage information assets to support enterprise reporting Read More...
Governance from the Ground Up: Launching Your Data Governance Initiative
Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing

critical technical data  data governance,data governance best practices,data governance model,data governance institute,what is data governance,data governance framework,data governance roles and responsibilities,data governance definition,data governance strategy,data governance software,data governance conference 2010,data governance maturity model,master data governance,data governance tools,data governance charter Read More...
Flexible Customer Data Integration Solution Adapts to Your Business Needs
Siperian''s master data management and customer data integration (CDI) solutions allow organizations to consolidate, manage, and customize customer-related data.

critical technical data  Customer Data Integration Solution Adapts to Your Business Needs Customer data integration (CDI) has become one of the buzzwords within the master data management (MDM) industry. Although the concept of creating a single organizational view of the customer is noble and desirable, its value should also be justified by organizations. To implement a customer data hub that only creates a centralized view of an organization''s customer-related data does not affect a company''s bottom line, unless Read More...
Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization
Malicious hacking and illegal access are just a few of the reasons companies lose precious corporate data every year. As the number of network security breaches

critical technical data  to secure the most critical vulnerabilities and lay the foundation for a data protection architecture. Specifically, the following are implementation items for each step. Step 1: Address Primary Network Security Threats The goal with the first step is to deploy an architecture that is scalable and flexible enough to address the four key areas that need data protection: Protecting Data Storage: In order to protect storage data, deploy IPSec protection for SAN extension and data replication over IP Read More...
Types of Prefabricated Modular Data Centers
Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod

critical technical data  DCIM, data center, data center infrastructure management, DCIM management, IT, IT infrastructure, APC by Schneider Electric, facility operations and maintenance, data center facility operations, data center PUE, PUE, prefabricated modular data center, data center systems 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

critical technical data  Data Management,Data Infrastructure,Data Center,Knowledge Management,Cost Control,IT Budgeting,Outsourcing,Strategic Planning,Business Applications,Business Management,data management software,data management technology,enterprise data management,data management services,customer data management Read More...
Guidelines for Specification of Data Center Power Density
Conventional methods for specifying data center density don’t provide the guidance to assure predictable power and cooling performance for the latest IT

critical technical data  grow rapidly above a critical power density, and an appropriate density specification would recognize and address this issue before it became a problem. Weight: Some facilities have floor loading limits. This is particularly true of existing raised floor installations. IT equipment that achieves very high power density typically also generates a heavy rack weight load. In some cases this is a very practical limit to the ability to deploy high density. The consequence is that a density specification Read More...
Developing a Universal Approach to Cleansing Customer and Product Data
Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data

critical technical data  more than 25% of critical data within large businesses is somehow inaccurate or incomplete. And that imprecise data is wreaking havoc. – Rick Whiting, Hamstrung By Defective Data, InformationWeek, May 2006. Although nobody disputes that poor data quality has a significant financial impact on companies, the figures in these articles are so variable and so imprecise that there is a risk of reader fatigue when discussing data quality issues at this superficial level of detail. Maybe this is why so many Read More...
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

critical technical data   Read More...
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

critical technical data  data quality jobs,data quality solution,data quality methodology,data quality strategy,address data quality,data quality manager,data quality audit,data quality measurement,what is data quality,data quality in data warehouse,data quality dashboard,data quality program,clinical data quality,improving data quality,data quality measures Read More...
Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio
Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the

critical technical data  mature” have realized the critical point with the platform: although Hadoop can be engineered to do a good job of processing data, storing it, and providing routine reporting, the solution cannot be used as an ad hoc, interactive analytic platform. This is because Hadoop is very slow and lacks sophisticated visualization tools. Those more savvy organizations are starting to combine Hadoop processing storage clusters with purpose-built, fast analytic platforms such as in-memory databases. 7. Read More...

Recent Searches
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Others