Home
 > search for

Featured Documents related to »  data mining concept


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

data mining concept  Truth about Data Mining A business intelligence (BI) implementation can be considered two-tiered. The first tier comprises standard reporting, ad hoc reporting, multidimensional analysis, dashboards, scorecards, and alerts. The second tier is more commonly found in organizations that have successfully built a mature first tier. Advanced data analysis through predictive modeling and forecasting defines this tier—in other words, data mining. Data mining has a significantly broad reach and application. Read More
Mining Industry (ERP & CMMS)
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 » data mining concept


Connecting Your Executives to the CRM Effort: Becoming (and Remaining) a Data-driven Organization
When businesses commit to implementing customer relationship management (CRM), they commit to realigning their entire organizations around the customer. More

data mining concept  and manage complex customer data and turn it into knowledge that will revolutionize your business. Source : Consona Resources Related to Becoming (and Remaining) a Data-driven Organization : Data-driven Testing (Wikipedia) Connecting your Executives to the CRM Effort: Becoming (and Remaining) a Data-driven Organization Data-driven is also known as : Data Driven , Data-driven Programming , Doing Data-driven , Data-driven Decision , Data Driven Gadget , Community-driven Approach , Database Driven , Read More
Business Intelligence and Data Management
The terms business intelligence (BI) and business performance management (BPM) are heard time and again, but what do they really mean for businesses? Getting

data mining concept  Intelligence and Data Management The terms business intelligence (BI) and business performance management (BPM) are heard time and again, but what do they really mean for businesses? Getting back to basics, both terms refer to the concept of using technology to Identify sales trends to develop sales strategies and to manage future sale Manage employee performance Identify quality issues on the shop floor Optimize business processes through the use of technology Forecast, budget, and plan within a Read More
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

data mining concept  Data Cleansing Server | Data Mining | Data Cleansing | Cleanse Data | Data Improvements | Structured Data | Data Values | Data Cleansing Modules | Automated Data Cleansing | Supply Chain Data | BPM Data | BPM Data Cleansing | BPM Consumer Data | BPM Precise Data Cleansing | BPM Data Quality | BPM Data Cleansing Tools | BPM Data Cleansing Solutions | BPM Accurate Data | BPM Source Data | BPM Data Warehousing | BPM Data Scrubbing | BPM Outsource Data Cleansing | BPM Data Bureau Services | BPM Data 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

data mining concept  analysis techniques such as data mining (statistical analysis to discover trends in the data), data visualization (graphical display of query results), or multi-dimensional analysis (the so called slice and dice ). Will the architecture be two-tiered or three-tiered? Three-tiered architectures offload some of the processing to an application server which sits between the database server and the end-user. Will the tool employ a push or a pull technology? ( Push technology publishes the queries to Read More
New Data Protection Strategies
One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased

data mining concept  Data Protection Strategies One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets. Read More
The Path to Healthy Data Governance
Many companies are finally treating their data with all the necessary data quality processes, but they also need to align their data with a more complex

data mining concept  Path to Healthy Data Governance This article is based on the presentation, “From Data Quality to Data Governance,” by Jorge García, given at ComputerWorld Technology Insights in Toronto, Canada, on October 4, 2011. Modern organizations recognize that data volumes are increasing. More importantly, they have come to realize that the complexity of processing this data has also grown in exponential ways, and it’s still growing. Many companies are finally treating their data with all the necessary 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

data mining concept  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 Read More
Concept Soft
Concept Soft is an outsourcing-software development company located in Belarus. The company's focus is custom software development, software product development

data mining concept   Read More
5 Keys to Automated Data Interchange
The number of mid-market manufacturers and other businesses using electronic data interchange (EDI) is expanding—and with it, the need to integrate EDI data

data mining concept  Keys to Automated Data Interchange 5 Keys to Automated Data Interchange If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. In 1995, Emanio was one of the first companies to send EDI messages over the Internet and integrate these into backend ERP and Supply Chain Management systems through a single tool. Source : Emanio Resources Related to Automated Data Interchange : Automated Data Processing (Wikipedia) Automatic identification and 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

data mining concept  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 (Wikipedia) Read More
Unified Data Management: A Collaboration of Data Disciplines and Business Strategies
In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration

data mining concept  Data Management: A Collaboration of Data Disciplines and Business Strategies In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration, governance, and so on. In response to this situation, some organizations are adopting unified data management (UDM), a practice that holistically coordinates teams and integrates tools. This report can help your organization plan and execute effective UDM efforts. 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

data mining concept  what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality. Read More
Business Basics: Unscrubbed Data Is Poisonous Data
Most business software system changes falter--if not fail--because of only a few root causes. Data quality is one of these root causes. The cost of high data

data mining concept  Basics: Unscrubbed Data Is Poisonous Data Introduction A manufacturing company experienced continually increasing overhead costs in its purchasing and materials departments. It also began to see increased inventory levels and production line delays. A consulting firm was brought in to analyze the company's materials management processes and the level of competence of its materials and procurement staff. After mapping the entire process, from the creation of a bill of materials through post-sales 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