V V Narendra Kumar

Predictive analytics is business intelligence technology that produces a predictive score for each customer or other organizational element. Assigning these predictive scores is the job of a predictive model which has, in turn, been trained over your data, learning from the experience of your organization.

Ajaxis a relatively new term used to describe technologies that have existed for quite some time: JavaScript code, XML, and objects that can make asynchronous calls over HTTP.Ajaxis often used to prevent an entire HTML page from being submitted and reloaded, especially when a user performs an action that doesn't require the entire page to be reloaded

Predictive analytics is the branch of data mining concerned with the prediction of future probabilities and trends. The central element of predictive analytics is the predictor, a variable that can be measured for an individual or other entity to predict future behavior. For example, an insurance company is likely to take into account potential driving safety predictors such as age, gender, and driving record when issuing car insurance policies.

Data mining is the practice of automatically searching large stores of data to discover patterns and trends that go beyond simple analysis. Data mining uses sophisticated mathematical algorithms to segment the data and evaluate the probability of future events. Data mining is also known as Knowledge Discovery in Data (KDD).

Social Networks and Marketing provides a primer on social networks targeted toward marketing practitioners and scholars. It explores main concepts, theoretical ideas, and empirical findings, with a focus on questions of relevance to managers: How and when do network patterns matter? How does network structure affect consumer behavior? What kinds of social networks are important for particular marketing decisions?

With the year 2010 year coming to an end let us see what trends have dominated the marketing world, In this article I have highlighted some trends that were anticipated by experts in the year 2010 and some anticipated trends of the year 2011.2010 was an exciting year for marketers; trends that have been taking shape over the course of the past decade have created new opportunities for business owners. The first 10 years of the 21st century brought economic problems, corporate collapse

The students of Master of Computer Applications, MSc-Computers and BTech Computers/IT should keep in mind the following software engineering sub disciplines in mind while executing their mini and major projects:

Six Sigma has been well applied in manufacturing through improving processes that use the DMAIC methodology. Some larger corporations have integrated Six Sigma so well into the corporate culture that it can be considered the DNA of the company. However, even in such companies, the human resources department has been practically untouched by Six Sigma. In a conference of the human resources professionals in Chicago, it was clear that HR people are now looking to benefit from Six Sigma initiatives

Master Data Management provides a single reference point for reliable and authoritative Master Data. It is a foundation data management capability which serves business applications and processes. There are many domains in Master Data Management. Among them a few are- Customer Data Integration, Product Information Management and Vendor Information Management etc.Master Data Management is basically meant for, HARMONIZING AND MANAGING of MASTER DATA.