Boost your business with Clickstream Data Analysis.

Clickstream is recording of the parts of the screen of a computer user clicks on while web browsing or using another software application. Clickstream Analysis refers to collecting, analyzing, and reporting the data about visitors visit. This is generated by recording the succession of clicks each visitor makes. This helps you to get insights of the behavior of the visitors. Hence, you can maneuver your strategies as per this analysis. It gives you the information about how long a visitor stayed on your website and how often he returns.  This gives a wealth of information to be analyzed.
 To know more about clickstream data analysis go through the article written by Jaoa Correia (a Senior Analytics Consultant at Blast Analytics & Marketing) at: http://www.blastam.com/blog/index.php/2015/04/move-into-limitless-world-of-clickstream-data-analysis

What if the Predictive Model goes wrong?

Predictive models are used to predict future outcomes on the basis of data collected from past. Many organizations take their crucial decisions based on the foundations laid by the predictive models. But what if the model goes wrong? "BOOM"- crash of a significant part of the strategy! Though each predictive model has some scope of error. There are chances that the input variables considered in the model were not appropriate. But we need to find out what kind of error and to what extent it is acceptable. There is a need to work on the foundation of the predictive models to prevent failures. Read more about it in the article written by John Bates (Senior Product Manager for Data Science & Predictive Marketing Solutions) at: http://blogs.adobe.com/digitalmarketing/analytics/what-to-do-when-your-predictive-marketing-is-wrong/

Improve your employee engagement with Big Data Solutions.

Finding suitable talent for your workplace is a difficult process. It is much more difficult to retain talent, if the workplace conditions are not suitable. Most of the organizations use annual feedback system to know about the employees. But the better way is to have a continuous check on the performance and behavior of employees regularly. This helps in getting a better picture. Big Data helps in identifying the relation between engagement and retention. Cloud based solutions provide access to all the data at one place and this can be used for further decisions by HR. Data can be collected, measured, analyzed at one plans. And accordingly solutions can be thought of to eliminate the problem. Organizations who use big data solutions have observed a better turnover.
Read more at: http://www.cio.com/article/3023311/careers-staffing/how-big-data-can-drive-employee-engagement.html

Make results better using Predictive Analytics in B2B Marketing

Those using predictive analytics easily outpace those who don't. There is a clear incremental sales lift in the marketing campaigns which consider predictive analytics. Every organization strives to achieve a higher return on investment (ROI) from that spending on marketing. Predictive analytics help creation of unique customer profiles by analyzing the data. 

Read more about how Predictive Analytics can be useful in B2B marketing in the article written by Laura at: http://blogs.forrester.com/laura_ramos/15-07-02-the_power_to_predict_can_give_b2b_marketers_an_unfair_advantage