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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 data  (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...
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 pro...
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Documents related to » regression analysis data


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 data  | 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...
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 data  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...
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 data  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...
Data Discovery Applications
Over the last five years, the business intelligence (BI) space has undergone a huge transformation. The business user community has lobbied for data analysis

regression analysis data  analysis tools such as regression, nonlinear modeling, etc. Easy integration with Microsoft Office, especially Excel Mobile analytics features Organizations can benefit from these types of applications in the following ways: Rapid deployment at a lower price than for corporate BI suites Easier application of incremental and agile data analysis applications, such as prototyping and agile methodologies Reduced need for supplementary code, or even eliminated altogether Some interesting aspects of data 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

regression analysis data  data protection,data backup,disaster recovery,data recovery Read More...
Implementing Energy-Efficient Data Centers
But in the white paper implementing energy-efficient data centers, you'll learn how to save money by using less electricitywhether your data cente...

regression analysis data  implementing energy efficient data centers,implementing,energy,efficient,data,centers,energy efficient data centers,implementing efficient data centers,implementing energy data centers,implementing energy efficient centers,implementing energy efficient data. Read More...
Six Steps to Manage Data Quality with SQL Server Integration Services
Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business

regression analysis data  Steps to Manage Data Quality with SQL Server Integration Services 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 Six Steps to Manage Data Quality with SQL Server Integration Services : Data quality (Wikipedia) Six Steps to Manage Data Quality with SQL Server Integration Services Data Quality is also known as : Read More...
Overall Approach to Data Quality ROI
Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company

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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

regression analysis data  Evolution of a Real-time Data Warehouse The Evolution of a Real-time Data Warehouse Jorge Garcia - December 23, 2009 Understanding Real-time Systems Today, real time computing is everywhere, from customer information control systems (CICSs) to real-time data warehouse systems. Real-time systems have the ability to respond to user actions in a very short period of time. This computing behavior gives real-time systems special features such as instant interaction: users request information from the system 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

regression analysis data   Read More...
A Roadmap to Data Migration Success
Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources,

regression analysis data  data migration sql,data migration strategies,data migration framework,server data migration,data migration issues,erp data migration,data migration validation,data migration test plan,data migration solutions,data migration strategy document,data migration companies,data migration testing strategy,data migration sql server,data migration planning,data migration plan example Read More...
Demystifying Data Science as a Service (DaaS)
With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been

regression analysis data  data science, big data, analytics, data SaaS, data scientist, India, data as a service, real-time data, data analytics Read More...
Data Quality: Cost or Profit?
Data quality has direct consequences on a company's bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and

regression analysis data  business intelligence architecture,business intelligence data warehouse,change data capture,customer data,customer data integration,data cleaning,data cleaning software,data cleansing,data cleansing data,data cleansing definition,data cleansing service,data cleansing services,data cleansing software,data cleansing solution,data cleansing solutions Read More...

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