X
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 solutions by funtionality, so that you can make accurate and informed software purchasing decisions.
Compare Now
 

 reporting data mining


The Truth about Data Mining
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data

reporting data mining  services, integration services, and reporting services. In Conclusion It is essential to lay the groundwork for the complex process of data mining. This includes having a thorough understanding of business data entities and their interrelationships. In addition, data mining must not be a onetime process. Rather, in each instance, it must be applied iteratively, and training data must be reviewed and maintained periodically. When applied appropriately, it has the potential to uncover knowledge—the

Read More


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

Documents related to » reporting data mining

Automating Stimulus Fund Reporting


Tracking and reporting stimulus fund spending are difficult tasks for chief information officers (CIOs). The US government’s accountability demands are forcing organizations that are spending American Recovery and Reinvestment Act (ARRA) funds to analyze floods of data. Discover how automated ARRA reporting systems can help you comply with reporting requirements without excessive labor costs or data management headaches.

reporting data mining  compiling, formatting, analyzing, and reporting data from disparate systems often require months of work - and come with significant costs. Add the prospect that reporting could extend beyond existing requirements, and organizations are facing significant challenges. How can CIOs cost-effectively analyze ARRA spending and its impact on job creation? Is there an automated way to meet evolving federal mandates? Fortunately, new technology is now available to overcome these complex reporting obstacles. 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.

reporting data mining  that is suitable for reporting and analysis, and finally loads the transformed records into the destination (typically a data warehouse or data mart). Data cleansing is an integral part of the transformation process and enforces business and schema rules on each record and field. Data cleansing involves the application of quality screens that monitor every source record. The outcome of the violation of business rules can include immediate correction using rules that are specified in the data cleansing Read More

How the Mining Industry Benefits from ERP Systems


Integrated enterprise resource planning software normalizes the reporting requirements for a mining company’s various departments. This article loosely shows the parallels between the operations in a mining company and those of a manufacturer whose product is sold on store shelves.

reporting data mining  to use its own reporting measures. The ERP software transforms data bidirectionally to the standard (legal) business reporting. However, it is this use of disparate methods by departments that causes confusion within the mining company. The manufacturing industry has learned that integrated scheduling, materials management, production manufacturing, and distribution are the keys to profitability. Yet in a mining company, what is understood in one business department, if managed by non-ERP software such Read More

The Top Five Challenges with SQL Server Reporting and BI


Users of SQL Server value its power, speed, and affordability. But research shows that these users often face significant challenges in producing the business intelligence (BI)—reports, analysis, and dashboards—that they need to gain insight into their businesses. Learn how to evaluate three BI alternatives for Microsoft SQL users, and discover a new reporting and BI paradigm for SQL Server.

reporting data mining  well integrated with the Reporting Services framework (e.g., reports built in Report Designer cannot be modified in Report Builder), making it a poor choice to deliver ad-hoc query capabilities to end users. Equally, Analysis Services, which provides OLAP-style functionality through an Excel front-end, is a workable solution for data analysts who need to drill through a limited slice of data but not for a broader user population who need ad-hoc access to the full data universe. Challenge 3: Limited Read More

Optimizing Gross Margin over Continously Cleansed Data


Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards are automated data cleansing, systematic management of data processes, and margin optimization. Real dollars can be reclaimed in the supply chain by making certain that every byte of product information is accurate and synchronized, internally and externally.

reporting data mining  Gross Margin over Continously Cleansed Data Optimizing Gross Margin over Continously Cleansed Data If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Advanced functionality to manage costs, sell prices, promotions, discounts, chargebacks, and other key attributes while optimizing gross profits. Source : epaCUBE Resources Related to Optimizing Gross Margin over Continously Cleansed Data : Data cleansing (Wikipedia) Gross margin 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".

reporting data mining  standard which is QA reporting to Development. (It's hard for QA to argue a product feature with a developer when he/she is your boss.) The company has established a team-based system pitting development against QA. Development competes based on how fast they can fix a bug, and how low they can keep the bug count. QA competes on the basis of how many bugs they can find. This is a good way to encourage higher quality software when the product is finally released. Market Impact There are currently few Read More

Operationalizing the Buzz: Big Data 2013


The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the domain of traditional structured data management projects. Research conducted by Enterprise Management Associates (EMA) and 9sight Consulting makes a clear case for the maturation of Big Data as a critical approach for innovative companies. The survey went beyond simple questions of strategy, adoption, and use to explore why and how companies are utilizing Big Data. Download the report and get all the results.

reporting data mining  the Buzz: Big Data 2013 The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the domain of traditional structured data management projects. Research conducted by Enterprise Management Associates (EMA) and 9sight Consulting makes a clear case for the maturation of Big Data as a critical approach for innovative companies. The survey went beyond simple questions of strategy, adoption, and use Read More

Data Storage in the Cloud--Can You Afford Not To?


In Data Storage in the Cloud Can You Afford Not To?

reporting data mining  Storage in the Cloud--Can You Afford Not To? Spiraling data storage requirements are straining many companies' abilities to keep pace. One obvious solution is storage in the cloud—but concerns regarding security, speed, and accessibility remain. Or do they? In Data Storage in the Cloud—Can You Afford Not To? , you'll discover a cloud storage solution that offers you high-security dual-level encryption (SSLv3 and 256-bit AES) data accessibility from anywhere lower costs due to the economies of Read More

IFS Applications (version 8.0) for ERP for the Mining Industry Certification Report


IFS Applications (v. 8.0) is TEC Certified for online evaluation of enterprise resource planning (ERP) solutions for the mining industry in the ERP Evaluation Center. The certification seal is a valuable indicator for organizations relying on the integrity of TEC research for assistance with their software selection projects. Download this report for product highlights, competitive analysis, product analysis, and in-depth analyst commentary.

reporting data mining  IFS Applications,IFS Applications v.8.0,IFS Applications ERP for the mining industry,IFS Applications ERP software for mining,ERP software for the mining industry,ERP solution for the mining industry,IFS ERP software for the mining industry,IFS ERP solution for the mining industry,IFS 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 it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor data quality isn’t an option—implementing a thorough data quality solution is key to your success. Find out how.

reporting data mining  Data Quality: A Seven-step Plan for Any Size Organization Melissa Data’s Data Quality Suite operates like a data quality firewall – instantly verifying, cleaning, and standardizing your contact data at point of entry, before it enters your database. Source : Melissa Data Resources Related to Scalable Data Quality: A Seven-step Plan for Any Size Organization : Data quality (Wikipedia) Scalable Data Quality: A Seven-step Plan for Any Size Organization Data Quality is also known as : Customer 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 decisions and take the right actions, you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk assessments are accurate, trustworthy, and complete.

reporting data mining  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 decisions and take the right actions, you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk 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-based, mobile, portable, self-contained, all-in-one, and more. There are, however, important distinctions between the various types of factory-built building blocks on the market. This paper proposes standard terminology for categorizing the types of prefabricated modular data centers, defines and compares their key attributes, and provides a framework for choosing the best approach(es) based on business requirements.

reporting data mining  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-based, mobile, portable, self-contained, all-in-one, and more. There are, however, important distinctions between the various types of factory-built building blocks on the market. This paper proposes standard terminology for categorizing the types of prefabricated modular data centers, defines and Read More

Best Practices for Budgeting, Forecasting and Reporting


Corporate budgeting, forecasting, and reporting presents a formidable challenge to most companies, regardless of size or industry. Companies that are able to address budgeting obstacles and improve their process will not only be rewarded with more accurate budgets, more timely re-forecasts, and improved decision-making, but also foster a disciplined financial management culture that will deliver a true competitive advantage

reporting data mining  for Budgeting, Forecasting and Reporting Corporate budgeting, forecasting, and reporting presents a formidable challenge to most companies, regardless of size or industry. Companies that are able to address budgeting obstacles and improve their process will not only be rewarded with more accurate budgets, more timely re-forecasts, and improved decision-making, but also foster a disciplined financial management culture that will deliver a true competitive advantage 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. Stolen laptops, hacking, exposed e-mail, insider theft, and other causes of data loss can plague your company. How can you detect (and respond!) to breaches and protect your data center? Learn about the functions and benefits of an automated data auditing system.

reporting data mining  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. Stolen laptops, hacking, exposed e-mail, insider theft, and other causes of data loss can plague your company. How can you detect (and respond!) to breaches and protect your data center? Learn about the functions and benefits of an automated data auditing system. Read More