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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

regression analysis  (a special branch of regression analysis dedicated to the analysis of time series) and decision trees. Figure 2. Training the data mining model. Model training involves running the data mining algorithm on historical data (also known as training data). The algorithm analyzes and finds relationships in the data. These are produced as patterns and stored in the data mining model to create a trained mining model. Training can be a lengthy process as it involves applying the mining algorithm to vast amounts Read More...
Recruitment and Staffing
Recruitment and Staffing functionality allows the user to select and hire the right people with the right skill sets, as well as track the information regarding their recruitment for later analysis...
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Documents related to » regression analysis


Predictive Analytics; the Future of Business Intelligence
Business intelligence (BI) is evolving as it grows in popularity. Within BI, there is a shift from traditional analytics to predictive analytics, and predictive

regression analysis  trees, market basket analysis, regression modeling, neural nets, genetic algorithms, text mining, hypothesis testing, decision analytics, and more. The core element of predictive analytics is the predictor, a variable that can be measured for an individual or entity to predict future behavior. For example, a credit card company could consider age, income, credit history, other demographics as predictors when issuing a credit card to determine an applicant's risk factor. Multiple predictors are combined Read More...
Using Predictive Analytics within Business Intelligence: A Primer
What are predictive analytics, and how are they used within business intelligence applications and for business performance management?

regression analysis  become bad debt accounts. Regression analysis is another component of predictive analytics that allows users to model relationships between three or more variables in order to predict the value of one variable in comparison to the values of the others. It can be used to identify buying patterns based on multiple demographic qualifiers such as age and gender which can be beneficial to identify where to sell specific products. Within BI, this is beneficial when used with scorecards that focus on geography Read More...
TARGIT BI Product Certified
Recently, I met over the Web with TARGIT’s Ruben Knudsen and Ulrik Pedersen, along with some TEC cohorts to verify TARGIT’S BI product.  TARGIT had  completed a

regression analysis  the associated functions for regression and correlation analysis, calculations of the mean, variance, standard deviation, and other statistical measures. For more specific information, I refer you to the TARGIT website. I realize that I have provided a lot of accolades for the company and its products and I feel I am justified in tooting their horn, as they completed their demonstration flawlessly. Read More...
Case Study: Peerless Pump
Peerless Pump has been designing, engineering, and manufacturing pumps for more than 80 years. The company was basing component stock levels on historical data,

regression analysis  | Production Forecasting | Regression Forecasting | Revenue Forecasting | Sales Forecasting | Seasonal Forecasting | Simple Forecasting | Statistics Forecasting | Supply Forecasting | Trend Forecasting | Weather Forecasting | SCM Forecast Accuracy | SCM Forecasting | SCM Calculating Forecast Accuracy | SCM Demand Forecast Accuracy | SCM Measure Forecast Accuracy | SCM Review Forecasting Accuracy | SCM Forecast Accuracy Improvement | SCM Forecasting Accuracy Methods | SCM Increase Forecast Accuracy | SCM Read More...
Logi 9 Business Intelligence Platform: Business Intelligence (BI) Competitor Analysis Report
This business intelligence (BI) knowledge base covers a full range of BI functionality. BI applications enable real time, interactive access, analysis, and

regression analysis  9 Business Intelligence Platform: Business Intelligence (BI) Competitor Analysis Report This business intelligence (BI) knowledge base covers a full range of BI functionality. BI applications enable real time, interactive access, analysis, and manipulation of mission-critical corporate information. BI users are able to access and leverage vast amounts of information to analyze relationships and understand trends that support business decisions. This knowledge base covers everything from data mining to Read More...
Agresso: ERP for SMB Competitor Analysis Report
The accounting and ERP for small and medium businesses (SMB) evaluation model targets functional requirements for a fully featured accounting solution. In

regression analysis  ERP for SMB Competitor Analysis Report The accounting and ERP for small and medium businesses (SMB) evaluation model targets functional requirements for a fully featured accounting solution. In addition to supporting accounting requirements, it is applicable for those researching an ERP system suitable for small and medium businesses (SMB). It includes categories such as General Ledger, A/P and A/R, Payroll, Job and Project Costing, Multinational Accounting, Manufacturing, Inventory, Technology, Read More...
Role of In-memory Analytics in Big Data Analysis
Organizations today need to handle and manage increasingly large volumes of data in various formats and coming from disparate sources. Though the benefits to be

regression analysis  of In-memory Analytics in Big Data Analysis In a previous article , I discussed big data and the need for a big data solution to handle, manage, and derive valuable insight from large volumes of data in various formats and coming from disparate sources. Here I discuss the role that in-memory technologies plays in big data analysis and the potential of this technology to change the business intelligence (BI) landscape and the industry technology space. But first we need to understand the basics.   A Read More...
Customer Relationship Analysis Firm Extends Reach
thinkAnalytics signs a partnering agreement with one of the largest information technology services companies in North America. Why does CGI expect

regression analysis  Relationship Analysis Firm Extends Reach Customer Relationship Analysis Firm Extends Reach D. Geller - September 22, 2000 Event Summary thinkAnalytics began life as a specialist using artificial intelligence to compress relational databases and for data mining. They became skilled at working with masses of data and embedding data analysis into traditional applications. Purchased by Gentia Software, an OLAP (On-Line Analytical Processing) specialist, in 1998; thinkAnalytics was recently launched as Read More...
Sage HRMS: Human Resources (HR) Competitor Analysis Report
This knowledge base on human resources management systems affords clients the opportunity to rapidly determine their criteria for management and employee

regression analysis  HRMS: Human Resources (HR) Competitor Analysis Report This knowledge base on human resources management systems affords clients the opportunity to rapidly determine their criteria for management and employee personnel tasks. Its extensive criteria include benefits and payroll management, employee self service, data warehousing, and health and safety requirements. Read More...
SAP ERP: Human Resources (HR) Competitor Analysis Report
This knowledge base on human resources management systems affords clients the opportunity to rapidly determine their criteria for management and employee

regression analysis  ERP: Human Resources (HR) Competitor Analysis Report This knowledge base on human resources management systems affords clients the opportunity to rapidly determine their criteria for management and employee personnel tasks. Its extensive criteria include benefits and payroll management, employee self service, data warehousing, and health and safety requirements. Read More...
Epicor Enterprise: ERP for SMB Competitor Analysis Report
The accounting and ERP for small and medium businesses (SMB) evaluation model targets functional requirements for a fully featured accounting solution. In

regression analysis  Enterprise: ERP for SMB Competitor Analysis Report The accounting and ERP for small and medium businesses (SMB) evaluation model targets functional requirements for a fully featured accounting solution. In addition to supporting accounting requirements, it is applicable for those researching an ERP system suitable for small and medium businesses (SMB). It includes categories such as General Ledger, A/P and A/R, Payroll, Job and Project Costing, Multinational Accounting, Manufacturing, Inventory, Read More...
Dynamics SL: Financial Packages Competitor Analysis Report
This financial software knowledge base anticipates as many factors as possible to establish your selection criteria for general ledger, accounts payable and

regression analysis  SL: Financial Packages Competitor Analysis Report This financial software knowledge base anticipates as many factors as possible to establish your selection criteria for general ledger, accounts payable and receivable, reporting, and other bookkeeping requirements. This knowledge base in particular, offers a view on enterprise financial packages, which can complement an existing ERP system. Read More...
Effective Inventory Analysis
For many distributors, inventory is the largest and perhaps the most important asset. Inventory ties up more money than buildings or equipment, and is often

regression analysis  Inventory Analysis For many distributors, inventory is the largest and perhaps the most important asset. Inventory ties up more money than buildings or equipment, and is often less “liquid.” It is crucial, then, that distributors develop and use a comprehensive set of tools that allows close monitoring of the performance of inventory investments. Read more about simple measurements that can help you maximize your investment in inventory. Read More...

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