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Software Functionality Revealed in Detail
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 critical technical data

Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

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 provide users with valuable insights into key operating information to quickly identify business problems and opportunities. Users are able to access and leverage vast amounts of information to analyze relationships and understand trends that ultimately support business decisions. These tools prevent the potential loss of knowledge within the enterprise that results from massive information accumulation that is not readily accessible or in a usable form. It is an umbrella term that ties together other closely related data disciplines including data mining, statistical analysis, forecasting, and decision support. 

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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 to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology.

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 to explore how asset data can be used to further the aims of maintenance.

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

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 companies may not have adequate resources to deal with these risks on their own. Learn how your business can benefit from e-mail archiving, and in particular a hosted e-mail archiving service, to combat data loss, and realize greater productivity and competitiveness.

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

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 possibility—unless the business intelligence (BI) product developer understands the potential problem and addresses it as a business-critical factor.

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 software solution. The fact is, poor technical support can have a severe impact on a solution’s total cost of ownership.

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

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

Distilling Data: The Importance of Data Quality in Business Intelligence


As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence environment. This article looks at issues in data quality and how they can be addressed.

critical technical data  Data: The Importance of Data Quality in Business Intelligence Originally Published - October 20, 2008 The zeal to get as much business data to the user as soon as possible often prevails over the establishment of processes that control the quality of data. Low data quality standards can lead to bad business decisions and missed opportunities. Even with a data warehouse that is well designed and equipped with the best tools for business intelligence (BI), users will encounter inefficiency and 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 the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process.

critical technical data   Read More

Meet PCI DSS Compliance Requirements for Test Data with Data Masking


Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more.

critical technical data   Read More

Agile Data Masking: Toward a More Secure and Agile Enterprise


Data masking has long been a key component of enterprise data security strategies. However, legacy masking tools could not deliver secure data, undermining their impact. This white paper explores how data as a service can deliver on the promise of masking, while increasing organizational flexibility and agility.

critical technical data  data masking, data security, information security, data as a service, Delphix, agile data masking, data management 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 if your organization needs this type of IT solution.

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 Read More

Oracle Database 11g for 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.

critical technical data  data warehouse,data warehouse architecture,data warehouse concepts,data warehouse software,data warehousing analysis,data warehouse community,data warehouse automation,data warehousing olap Read More

Metagenix Reverse Engineers Data Into Information


Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than depending on the data dictionaries of the existing legacy systems (which are often incorrect). Other unique Metagenix approaches include an "open book" policy, which includes publishing product price lists on their web site and complete access to company officials, including CEO and President Greg Leman. According to Mr. Leman, "we’re pathologically honest".

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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 quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, and find out why you need an enterprise-wide approach to data management.

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