Effects of Predictive Analytics on the workplace.

The use of predictive analytics in the Human Resource Management is the recent development. The HR team is taking advantage of the loads of data to keep a check on the employees. Predictive Analytics is changing the relationship between employee and enterprise. Predictive models can easily predict the upcoming trends. The performance of the employees can be judged in an unbiased way rather than gut feelings. The models identify meaningful insights by collecting data from the various platforms. The kind of posts that individuals have on the social networking platforms, LinkedIn profiles all lead to predictions. HR teams use these insights to decide the promotions, pay scale etc. This also acts as a disadvantage to the privacy of workers. Soon there will be a need to redefine the worker privacy laws which will take care of these new technologies.
Read more about this in the article written by Rodd Wagner (A best- selling author) at: http://www.stevenspointjournal.com/story/opinion/columnists/2016/01/22/predictive-analytics-transforms-workplace/79116764/

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/

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