This week’s roundup brings us answers to what technologies CIOs are already looking at going into 2019, the necessary need for a solid foundation when it comes to data preparation, seven stages of predictive analytics implementation and how it has become the natural evolution of business intelligence, and how one school in Virginia is using predictive analytics to spot mental health problems in its students.
Analysts Answer: What Technologies Should CIOs Experiment with in 2019?
by Kasey Panetta, Content Manager at Gartner.com
Everyone knows that staying informed in the ever grown and moving technology space can be daunting and time-consuming, so Gartner put together a list of technologies CIOs should be looking at to experiment with. Gartner sat down with top CIOs to discuss these major trends and get their advice; artificial intelligence, immersive technologies, and integration platform as a service are what CIOs should be looking into in 2019.
Data Preparation – Future and Foundation of Analytics
by Andrea Steffes-Tuttle, Director of Marketing at Lityx
Data Preparation is not a new topic, however, there are a few main factors that contribute to sound data: collection, cleansing, and collaboration.
Seven Stages of Predictive Analytics Implementation
by Sophia Brooke, Technology Journalist at Raconteur
For the past few decades, business intelligence tools have been essential for companies wanting to stay ahead of the competition. Predictive Analytics has become the natural evolution of business intelligence, it provides a deeper understanding of future trends, relying on historical data and statistical models. Implementing predictive analytics can help prevent fraud, predict customer churn, a forecast for cash-flow and revenue, and improve marketing campaigns – but it must be properly executed.
Predictive Analytics in Education can Flag Troubled Students
by Mark Labbe, News Writer, at SearchBusiness Analytics
Using academic analytics, administrators at Virginia’s Loudoun County public school district are looking to identify and help at-risk students faster and more accurately. With the overcrowding, of many school system the pattern of children mental dysfunction goes largely unnoticed. The district plans to use predictive analytics in education to try to prevent situations like this one from going undetected.
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