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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...
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...
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...
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...
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...
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...
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...
Protecting Critical Data
The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data

critical technical data  Critical Data The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly. Read More...
10 Errors to Avoid When Building a Data Center
In the white paper ten errors to avoid when commissioning a data center, find out which mistakes to avoid when you''re going through the data center...

critical technical data  10 errors avoid building data center,errors,avoid,building,data,center,errors avoid building data center,10 avoid building data center,10 errors building data center,10 errors avoid data center. Read More...
Data, Data Everywhere: A Special Report on Managing Information
The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and

critical technical data  Data Everywhere: A Special Report on Managing Information SAP NetWeaver Master Data Management (SAP NetWeaver MDM) is an enabling foundation for enterprise services and business process management. Working across heterogeneous systems at disparate locations, SAP NetWeaver Master Data Management ensures cross-system data consistency through interactive distribution. Source: SAP Resources Related to Data, Data Everywhere: A Special Report on Managing Information : Data (Wikipedia) Data, Data Read More...
The Fast Path to Big Data
Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more

critical technical data  Big Data,Big Data architecture,Big Data challenges,Big Data system,Big Data technology Read More...
Deploying High-density Zones in a Low-density Data Center
New power and cooling technology allows for a simple and rapid deployment of self-contained high-density zones within an existing or new low-density data center

critical technical data  requirements of the most critical set of assets. This type of design is extremely expensive both from a capital cost and operational cost perspective. A much more cost-effective design is to provide redundant power and cooling only where and when required. High-density zones allow for this targeted redundancy / availability approach by including redundant power and cooling modules when appropriate. Note that the core infrastructure such as chilled water piping and electrical service entrance must be Read More...
Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management
Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in

critical technical data   Read More...
Next-generation Data Auditing for Data Breach Protection and Risk Mitigation
Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation

critical technical data   Read More...

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