Home
 > search for

Featured Documents related to »  statistical analytics


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

statistical analytics  will find if the statistical patterns match those assumptions. Predictive analytics go beyond those assumptions to discover previously unknown data; it then looks for patterns and associations anywhere and everywhere between seemingly disparate information. Let's use the example of a credit card company operating a customer loyalty program to describe the application of predictive analytics. Credit card companies try to retain their existing customers through loyalty programs. The challenge is predicting 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...
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 » statistical analytics


Predictive Analytics and the Evolution of BI
In the last couple of years, the popularity of predictive analytics offerings has increased significantly, as many companies looking to improve their existing

statistical analytics  of various analytical and statistical techniques to build a mathematical model in an attempt to predict the future outcome of a certain scenario of study. From statistics to game theory, predictive analysis techniques make use of historical data to create predictions, usually by capturing relationships between explanatory (independent) variables and “predictors” (predicted variables) from past events. Two major modeling types can be applied: classification (for predicting categorical/discrete variable 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?

statistical analytics  data is collected, a statistical model is formulated, predictions are made, and the model is validated (or revised) as additional data becomes available. One of the main differences between data mining and predictive analytics is that data mining can be a fully automated process, whereas predictive analytics requires an analyst to identify the predictors and apply them to the defined models. A decision tree is a variable within predictive analytics that allows the user to visualize the mapping of Read More...
Why Are CRM and Analytics Intrinsically Connected?
The new metrics of customer profitability, lifetime value, and wallet share are needed to supplement the traditional metrics of market share and penetration

statistical analytics  deeper. It is a statistical method that includes all analytics to predict the probable future outcome of an event and falls under data mining , a class of database applications that look for hidden patterns and support decision-making by forecasting the outcomes of different scenarios. Ultimately, given the depth of information MA processes can pull out, MA is an integral part of a sound CRM strategy that can help drive organizational alignment through its analysis of markets, customers, and segments. For Read More...
In-Memory Analytics: A Multi-Dimensional Study
The primary bottleneck to high-performance multidimensional analysis has been slow hard drive speed—the time it takes for data to be transferred from disk

statistical analytics  online analytical processing (OLAP), statistical analysis, data mining, and text mining. Analytic applications are most often built on large volumes of data and this presents a significant demand on memory. Such applications are also anchored on complex data structures that emulate business models. As business models change, corresponding data structures also have to change. Every structural change requires costly time and effort to re-design and re-optimize. This article examines how in-memory technology Read More...
Product, Project, Process, and People: The Four Ps of PLM Analytics
Product, project, process, and people represent the four areas of PLM analytics that may help PLM user organizations develop better products, improve the

statistical analytics  Project, Process, and People: The Four Ps of PLM Analytics After a product lifecycle management (PLM) system has been implemented and used for a while, the accumulated data within the system becomes valuable. This data not only supports daily operations but it also has the potential to help companies to better understand historical performance and predict the future, if it can be interpreted properly. In fact, reporting and analytics has been a part of some PLM offerings for a while. For instance, Read More...
Zettaset and Simba Streamline Hadoop and Analytics Interoperability
Zettaset and Simba have announced a strategic technology partnership to provide enterprise class security for the deployment of combined analytics and Hadoop

statistical analytics  and Simba Streamline Hadoop and Analytics Interoperability Zettaset and Simba have announced a strategic technology partnership to provide enterprise class security for the deployment of combined analytics and Hadoop platforms and streamlined interoperability for the Hadoop and analytics ecosystem. Zettaset, a provider of Hadoop-based big data management applications, and Simba, an important standards-based data connector provider, have recently signed a partnership to tighten their relationship Read More...
New Version of SAS Analytics Platform
SAS 9.4 is the new version of SAS Business Analytics platform that will be released in June. As the foundation for all SAS analytics products, the SAS Business

statistical analytics  Version of SAS Analytics Platform SAS 9.4 is the new version of SAS Business Analytics platform that will be released in June. As the foundation for all SAS analytics products, the SAS Business Analytics platform has been improved to offer a set of features that accommodate requirements demanded by customers and new industry standards. The platform is cloud enabled, and supports both private and public clouds. There are also several feature improvements in the following areas: Analytics —support Read More...
Business Analytics-Turning Data into Insight
In an era of smarter analytics, it is imperative that businesses leverage the massive quantities of data available to them. In order to remain competitive, data

statistical analytics  business analytics,business analytics solution,IBM business analytics Read More...
Using Analytics to Help You Overcome Your Supply Chain Challenges
Many enterprises are turning to analytics, and even predictive analytics, to capture and make sense of the increasing amount of data that enterprise systems are

statistical analytics  Analytics to Help You Overcome Your Supply Chain Challenges In a November 2013 survey of 150 supply chain managers and more than 1,000 consumers exploring current supply chain challenges and how consumers are reacting to these challenges, Capgemini reports: Just 34% of supply chain managers feel that their companies have an adequate understanding of how their company’s supply chain is performing. Only 21% of the surveyed supply chain managers rated their company’s ability to deliver “accurate, Read More...
Predictive Analytics for Business Advantage
Today, predictive analytics is used mostly in marketing and sales for help in retention, cross-sell/upsell, and direct marketing efforts. But change is coming

statistical analytics  Analytics for Business Advantage Today, predictive analytics is used mostly in marketing and sales for help in retention, cross-sell/upsell, and direct marketing efforts. But change is coming, and in this infographic from TDWI, learn how organizations are planning to use predictive analytics in new ways. Read More...
The Power of Predictive Analytics
The demand for business intelligence is increasing at a rapid pace across all industries—more so during tough economic conditions as seen in 2009. Many senior

statistical analytics  Power of Predictive Analytics The demand for business intelligence is increasing at a rapid pace across all industries—more so during tough economic conditions as seen in 2009. Many senior executives are looking to optimize existing business processes that can lead to bottom-line and top-line benefits. This paper presents the different levels of analytical solutions that are required for organizations, with a specific focus on predictive analytics. Read More...
Simple Analytics
Simple Analytics is a data analytics solutions and services company, formed in 2013. With data science capability and competence becoming a minimum requirement

statistical analytics  Analytics Simple Analytics is a data analytics solutions and services company, formed in 2013. With data science capability and competence becoming a minimum requirement in areas which have not traditionally been thought of as data-focused industries, the company's approach is to provide turn-key solutions and services that maximize ROI and can be implemented rapidly without straining IT investments. Simple Analytics provides consultancy, technical support, and training on big data, predictive 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