In 2016 the Academic Program program opened up to both professors and students, allowing us to reach hundreds of students around the world. The program also proudly announced the launch of its first Data Visualization course within the Data Analytics Curriculum for professors and FREE subscriptions to training for one year to every professor and student that is accepted into the program!As a result of these new offerings, the program gained over 700 new members since July! To build upon this success, the team is hard at work creating the following additions to the curriculum:A second course is coming soon! Our second course will focus on Data Analytics and will again include slide decks, lecture notes, activities, apps and data, and more!Adding to the Data Visualization course. The team is also updating the Data Visualization course by turning each lesson in the slide deck into mini videos for faster, easier consumption. As a professor you can choose to use both the slide deck and the videos, or skip right to the videos! Offering a business case for students. The business case will present students with a real world scenario in which they will need to use Qlik Sense to analyze data and determine how best to approach the scenario. This will show students how Qlik Sense can be used once they graduate and begin their careers.To receive these teaching materials or access to free training visit The Qlik Academic Program and fill out a student or professor application today! ...View More

Data discovery, self-service BI and master data/data quality management are currently the top business intelligence trends. While self-service BI and data discovery increased moderately in importance, master data and data quality management decreased slightly.Self-service BI has been on organizations’ wish lists for a long time as IT departments struggle to satisfy steadily growing demand from end-users for faster changes and new developments to meet their BI needs. Enabling the business user community through ‘self-service BI’ is a good idea. Data discovery and visualization, as well as predictive analytics, are among the typical functions users want to consume in a self-service mode. However, an agreed data and tool governance framework is paramount to avoid losing control over data.End-users recognize the need for data quality and master data management and initiatives in this area are often announced with a fanfare before quickly moving down the list of priorities for a variety of reasons. But at least organizations seem to be aware that the best-looking dashboard is worth nothing if there are flaws in the data it is based on. Business intelligence will not work without comprehensive data integration and data quality initiatives, but these have to be backed up with the right level of attention, resources and funding.Source: Top Business Intelligence Trends 2017 | What 2,800 BI Professionals Think ...View More

Data discovery, self-service BI and master data/data quality management are currently the top business intelligence trends. While self-service BI and data discovery increased moderately in importance, master data and data quality management decreased slightly.Self-service BI has been on organizations’ wish lists for a long time as IT departments struggle to satisfy steadily growing demand from end-users for faster changes and new developments to meet their BI needs. Enabling the business user community through ‘self-service BI’ is a good idea. Data discovery and visualization, as well as predictive analytics, are among the typical functions users want to consume in a self-service mode. However, an agreed data and tool governance framework is paramount to avoid losing control over data.End-users recognize the need for data quality and master data management and initiatives in this area are often announced with a fanfare before quickly moving down the list of priorities for a variety of reasons. But at least organizations seem to be aware that the best-looking dashboard is worth nothing if there are flaws in the data it is based on. Business intelligence will not work without comprehensive data integration and data quality initiatives, but these have to be backed up with the right level of attention, resources and funding.Source: Top Business Intelligence Trends 2017 | What 2,800 BI Professionals Think ...View More

Bournemouth University is a further education provider in the south of England, home to 18,000 students and 2,000 staff. It was one of the first UK universities to offer a Masters degree in Applied Data Analytics; course applications have grown by more than 300% over the last four years.Bournemouth wanted to cement its leadership position in Applied Data Analytics. And, with data visualisation as an important tool of every data analyst, Bournemouth was looking for a partner who could help arm its students with best-in-class visualisation and analytics knowledge and tools.“Even though it remains important that our MSc Applied Data Analytics students gain advanced knowledge of tools like Microsoft Excel, to appreciate the inner workings of data transformation and visualisation, it’s equally as important they realise that what might take 10 hours to achieve in Excel can be done better, and in 30 minutes, using Qlik Sense.” Dr Marcin Budka, Principal Academic in Data Science and Programme Leader for the MSc Applied Data Analytics, Bournemouth UniversityRead the full story in the attachment. ...View More

2016 was an exciting and busy year for the Academic Program which grew by 247 new universities!, The program now expands 64 countries with a total of 709 universities! Some of our new universities include Quinnipiac University in the United States, Cardiff Metropolitan University in the UK, Shailesh J Mehta School Of Management in India, and Universidade do Estado do Para in Brazil.This year the program also released its Data Analytics curriculum for professors and began offering FREE training though the Qlik Continuous Classroom to professors and students who joined the program!The first course offered in the curriculum is called Data Visualization. This course features lecture notes, course materials, and student exercises that professors can use to help them teach the history and theory behind Data Visualization. The course is ad-hoc so professors can use some or all of the materials depending on their needs. It also has pre-requisites from the Qlik Continuous Classroom so the materials blend seamlessly with our free training offering.Students and professors who are accepted into the program are also enrolled in a full-year subscription to free Qlik Sense and QlikView training through on OnDemand learning platform, the Qlik Continuous Classroom. The QCC offers hundreds of videos, take away documents, quizzes and live instructor access! Its an ideal way to learn Qlik at your own pace. To access free training, apply to the program by visiting http://www.qlik.com/us/company/academic-program. ...View More

Interesting read on the drivers for 2017 in the technology space especially with the proliferation of new technologies and devices:Technology Trends and Market Growth Predictions for 2017 | Enterprise It World | Page 5 ...View More

The Rise of the Visualization PackageKeeping It MovingNarrative FocusIncreasingly Complex Data SourcesKeep It TidyFear of Scale Is OverTo read the full article visit http://visualmatters.com/data-visualization-trends-2017/ ...View More