Predictive analytics has led to huge improvements across all industries, allows organisations to use historical data to estimate the likelihood of a future event, and to make more informed decisions. In this post, we will be specifically focusing on the impacts on healthcare organisations.
Health IT Analytics gives a comprehensive list of 10 high value use cases for predictive analytics. This includes many examples for directly preventing risks to patients such as deterioration, development of chronic illnesses, suicide and self-harm. Furthermore, there are also examples of how health care providers can use predictive analytics to improve their operations such as managing the supply chain, forecasting appointment no-shows and ensuring data security. In fact, Lillian Dittrick, Fellow of the Society of Actuaries goes as far as to say that: “There is some kind of predictive modeling that could help improve processes in just about any facet of healthcare.”
You can read about all 10 examples that are discussed in the full article here:
Today there are many different degree courses relating to healthcare. But whatever you are studying, from public health to psychology or healthcare management, the Qlik Academic Program is open to you! Our completely free offering to University students and academics provides you with free access to Qlik Sense software and a wealth of learning resources. The aim of the program is to get you up to speed with analytics tools and techniques, so that you can be fully prepared for the modern world of healthcare. Sign up today at qlik.com/academicprogram.
Per Statista, the big data market is growing rapidly, with $42 B USD revenues in 2018 and a massive increase to an expected $1.89 B in 2019. Corporations are adopting new technologies to help manage integration and draw insights from big data. In the telecommunications industry alone, around 94.5 percent of respondents representing the telecommunications industry stated that their organization currently used big data technology as of 2018.
The increase in big data has created the need for employees with specific skill sets, people who the industry call Data Scientists! According to LinkedIn, there has been a 56% increase in data scientist job openings in the US since 2018, and a recent report by Indeed revealed a 29% year-over-year increase (and 344% increase since 2013). Aside from the many business insights that can support sales, marketing and product development, mining user data and making it available to fuel artificial intelligence and machine learning is considered the new gold rush by many venture capitalists. For the full story on the hot market for data scientists visitCIO - Data Science
Now is the time for university students to get a head of the game and learn the vital skills needed to land thesecoveted jobs. The Qlik Academic Program has the tools and resources needed so that students can learn Qlik Sense, a leading BI tool and receive a certificate to put on their resume!
Professors and students should visit us to learn more and apply today!
We all know that data scientists are in high demand. In fact, Amazon says that job opportunities for these experts have grown by 505% over the last 5 years. With the Internet of things producing more data than ever before, it’s easy to see why all organisations want people who can make sense of big data to drive them to success. But what does this mean for market researchers? Can data science really replace them all together?
Last week raconteur.net discussed this very question, with input from various experts in the field. Aidan Slingsby, director of City, University of London’s MSc in data science, discusses how data science can be “an exceptionally useful tool for market research professionals”.
However, he also adds that market researchers are still essential in understanding the context of the information provided by data scientists, and to interpret the ‘what’ from the ‘why’. Ben Page, chief executive of Ipsos MORI goes on to explain how observational research is still essential, using a real-life study conducted for a global pet food manufacturer as a case in point.
The conclusions drawn here is that data science and market research should work hand in hand to deliver clearer and more granular insights that ever before. You can read the full article here:
If you are teaching or studying market research at the University level and want to delve into the world of data science, you can sign up for the free Qlik Academic Program. This will give you access to Qlik Sense analytics software as well as a library of e-learning materials and free qualifications. This includes a product agnostic data analytics curriculum to get you started in topics such as statistical concepts and theories in analysis.
Sign up here today:qlik.com/academicprogram
Since trialing the Qlik Academic Program at the start of 2019, lecturer John Smits has been blown away by the breadth and depth of the free resources available. So much so, that John has now undertaken the role of a Professor Ambassador, promoting the academic program not only within his own Universities but at many Universities across The Netherlands and Belgium.
John teaches across a variety of institutes at Hogeschool van Arnhem en Nijmegen (HAN University) and NCOI Opleidingen in The Netherlands. He lectures on topics such as Business Intelligence, Big Data, Fin Tech and Data Analysis.
The Qlik Academic Program can be used to teach across all of these subject areas and more. In fact, it is open to all students and academics at all Universities globally, regardless of their discipline. It is completely free of charge and gives access to the following resources:
Free Qlik software and related training.
Free e-learning for Qlik Sense.
Free qualifications for students to take in Qlik Sense/ Data Literacy/ Data Analytics.
Free product agnostic (non Qlik specific) training covering general topics in data analytics e.g. the theories behind visualisations, statistical concepts etc. This includes full lecture slides which you are welcome to use in class.
Regarding his motivations for joining the program John says:
“My mission is to make training in business intelligence available to all students, it’s so important for their future. This free Qlik Academic Program makes that possible. All of the materials for students and teachers are created and maintained by Qlik, meaning that teachers can adopt the materials into their curriculum without spending lots of hours developing training. The resources can be easily integrated into the classroom or used for independent study. From a student’s perspective the free qualifications available provide great motivation to get involved, as they can help to build a good resume.”
So far John has helped to introduce 37 students and 7 staff at HAN in to the academic program. We thank him for his support and look forward to welcoming many more members over the coming months, thanks to his efforts.
If you are a University student or academic and would like access to these free resources please visit qlik.com/academicprogram to sign up, or email email@example.com for more information.
Quantitative executive recruitment firm Burtch Works annual salary survey revealed changes in the job market for data scientists and predictive analytics pros. Several years ago those who were considered data scientistswherea hot commodityin the job market however, jump to today'shiring market and there are many employees who now have those same skill sets. Thanksin part to programs like the Qlik Academic Program, students are gaining the necessary data analyticsskills they need to keep up with today'smarket. With free software, training, and a chance to receive a certificate, Qlik's students are skyrocketing to the top of the list for recruiters.
According to the survey results, entry-level predictive analytics professionals with a four-year degree can expect an entry-level base salary that averages $78,615 (with a median of $80,000). And that they are receiving a salary increase of 4% year over year, Ferguson said.
For the full article visitData Science Salary Market Shift
Don't get left behind, if you are a professor or student, visit qlik.com/academicprogramandapply today!
Data is used across all different types of organisations in every sector from banking to retail and healthcare to manufacturing. And as we all know, data is very valuable. When insights are understood and interpreted correctly, they can have a huge impact in cutting costs and creating efficiencies. But it’s not all about profit margins and revenue. Data can also be used to help solve some of the world’s most pressing issues.
Qlik.org is the Corporate Responsibility arm of Qlik and provides plenty of examples of how we can lead with data to create a more sustainable world. You will find examples of sustainability initiatives from water security to global health strengthening, and the role that data plays to tackle these challenges.
Recently, Qlik.org ran a hackathon with the challenge of building an application to help the UN plan their air travel more responsibly and to reduce emissions. The “No planet B Challenge” blog post gives the full story. The winning application is due to be launched at the Global Climate Action Summit in September and will also be made available to the public.
If you are a student or academic and want to analyse your own data to see how you can drive positive change at the individual or community level, the Qlik Academic Program can help you to do this. You will receive free access to Qlik software and training resources which could be used to determine how you can reduce your CO2 footprint, or electricity usage or meat consumption...Even at the micro level, data can help us to all do our bit to contribute to a more sustainable world. To sign up for the program today visit: qlik.com/academicprogram.
Florence Nightingale may not be the first person who springs to mind when you think of big data, but in fact it's not such a strange pairing as you may initially think.
Did you know that before Florence became a nurse she trained as a statistician? And prior to the Crimean War she became a successful hospital manager. During that war she combined her nursing and statistics to reduce death rates in military hospitals from 42% to just 2%, and used infographics to ensure that politicians couldn't ignore the figures.
This shortBBC ideas videodirected by James Quinnencourages us to think about what Florence might think of the vast volumes of data available to us today, and the opportunities that we have to use that data to make the world a better place.
Our Qlik Academic Program aims to give University students the ability to read, work with, analyse and argue with data to bring about positive change, regardless of their discipline or area of interest. And the program is also open to University academics who want to bring this teaching into their classrooms. To find out more or to sign up visit:qlik.com/academicprogram, and maybe you could be the next Florence Nightingale!