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Author's profile photo Miklos Szorenyi

Driving Business Results with Big Data – openSAP course

In today’s world, the amount of information available at our fingertips is enormous and continues to grow at an incredible speed. Wherever we go and whatever we do, we are creating a digital trail of information. Our thoughts are tracked through a trail of text messages, emails, and social media postings and our location is traceable through phone records and GPS devices. Even topics you are interested in can be tracked through your internet searches and history. With the instantaneous effect of information sharing on Twitter, Facebook, YouTube, and many other sites, messages can go viral in minutes rather than weeks or months.

How can this affect business decisions? Join this openSAP course, Driving Business Results with Big Data, to find out

how big data can help businesses to drive results. The course will show you examples from companies that use the analysis of big data to improve their productivity and drive results, including healthcare in hospitals to speed up diagnosis of serious illnesses, and cities that use big data to reduce crime, allocate planning and licensing, and more.

The course will look at available solutions to support businesses to use big data in the most effective way.

By analyzing trends, affecting factors, and human behavior, companies can plan ahead and predict demand in the future. Big data can be used effectively across a broad range of areas within a company and in the final week of this course, the experts will focus on how big data can be used specifically for marketing purposes. Tailoring your message to suit specific target groups based on available information regarding their behavior can help your marketing department to get the right message to the right people in the right way. This will increase the effectiveness of your efforts and increase your success rates.

Driving Business Results with Big Data starts from June 23 and runs over a period of five weeks. Each week, new content will be released with learners completing the content at a time that suits their schedule. There will be weekly assignments where learners can collect points throughout the course which, along with the final exam, will contribute to the Record of Achievement.


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      Author's profile photo Jason Greene
      Jason Greene

      Hi Miklos,

      I'm into week 5 of the course now and am backtracking to start the CAL/AWS exercises.  A deliberate stall so that I can go through the presentations and course materials first and then compress my AWS activities into a shorter space of time.

      While the course and exercises focus is not on HCM applications, I can see there are some exciting possibilities for the use of many of the approaches/applications within an HCM focus.

      big data solutions.jpg

      The acquisition of social media data for sentiment analysis and concepts of demand signal management could have some pretty cool applications within HCM, for example in predicting churn of employees and in building intelligent workforce management.  We could look at predicting staffing needs not just in response to external factors and turnover (although the impact from these is clearly huge) but also using sentiment intelligence from internal and external data sources to predict likely workforce flexibility demands over time - time off planning, rostering etc.  Lots of possibilities!  Would love to hear your opinion on where the RDS is likely to look at innovating next.  Thanks.



      Author's profile photo Former Member
      Former Member

      Hallo Miklos,

      I did the Driving Results with Big Data course last year and now I'm looking at an opportunity where this is being looked as something that needs to get done. I need some help with the following:
      1) Are there any case studies for the successful use of Big Data for the criminal justice system where the state of the data in current systems was either limited or not there at all (How did law enforcement / justice departments that successfully implemented Big Data get around this constraint?); and
      2) Is there somewhere where one can get even more information on the Boston City case study that you cover in the course?

      I now it's been a while but I hope you still check the messages related to this course:-)

      Many thanks,