Since 2019, influencer marketing has skyrocketed and become an integral part of many people's decision-making process when making a purchase. Whether it's a new clothing line from your favourite brand, a holiday destination or a cultural/political movement that you want to support, there is an influencer out there to help guide you into making a purchase that feels right for you.
Common misconceptions about predictive analytics in the education sector
Examples of predictive analytics are everywhere, and the education sector is no exception. The approach uses historical student data to create models that help forecast future problems or opportunities. Educational institutions are using existing student data to gain insights on current or future student performance.
Predictive analytics is invisible, yet its benefits are highly tangible. The use of predictive analytics can bring a range of advantages to all educational settings; the ability to easily access and interpret results and attainment data is integral to any institution’s forward-planning. A holistic, systematic approach to using data will unquestionably drive improvements to standards across the whole institution.
What is predictive analytics?
Predictive analytics use data, machine learning and statistical algorithms to work out the likelihood of future outcomes, by analysing patterns in historical data.
Due to the ongoing worldwide pandemic, there has been huge disruption across the education sector at all levels, the impact of which is still unknown as schools, colleges, and universities remain closed until further notice.
You and your team have most likely overhauled your digital and social media practices over the last few years, ensuring all your content is digital and your website mobile-first. You may have even thrown a Tik Tok dance into the mix for good measure. But all instiutions rely on digital channels to engage with students, so how can you ensure you're leading the digital charge?
Mike Cope spent ten years as CIO at University College London (UCL) before joining Tribal as CTO in 2019. Having seen first-hand the pushback on cloud adoption rates in the education sector for the last decade, Mike discusses why he believes there has been a shift in mindset over the last 12 months.
Migrating services to the cloud in higher education is happening at a faster rate than ever before. According to Tribal’s CTO, Mike Cope, this is primarily because the sector’s appetite for risk has changed as education institutions seek solutions that provide the most up to date capability, for the maximum number of use cases, whilst also providing enough flexibility to adapt to increasingly frequent business changes.