The big data dream

There are also many schools already predicting the best outcome for students by providing them with data on the best mix of subjects that they need to gain entrance into the particular academic pathway they are aiming for.

The other consideration is to ensure your data source is reputable, clean and adding value. Keeping it simple and focused is one way to avoid data paralysis - where the amount of data you have, and the need to analyse which data is valuable and therefore worth mining in the first place, can paralyse the decision making process.

From an operational perspective, I've touched on enrolments and marketing, however staffing can also have a major influence on the bottom line. If a schools daily organiser (timetabler) could use A.I. to predict workflows via historic staff attendance data, they could be better prepared for those weeks when schools are hardest hit by illness and absenteeism. They could also use the online curriculum delivery platforms to predict the greatest needs for touchpoints between educators and students. This modelling could report on the teaching outcomes of full time vs. part time educators, and to track the use of casual relief staff, who are regularly employed by schools at great cost via staffing agencies.

In marketing, data is tracked easily using Google analytics and media monitoring tools. This data can provide excellent competitor analysis as well as providing intelligence on the gaps in the marketplace, allowing schools to position themselves in a clearly defined niche market. Spend is tracked via such metrics as click-through rates and website visit statistics, which can all then be mapped to enquiry levels and enrolments, ensuring there is a return on investment.

It's important to note that in education, the focus around data security is not around business intelligence but around data privacy and child safety regulations, as our largest data sets are connected to minors. What further complicates matters is the level of responsibility you can put on a child. In Australia they can't vote until they are eighteen, however they have access to and control of social media accounts from age thirteen and at fourteen the Government gives them full responsibility for their own MyGov Health Record. Like anything, education is key and we need to ensure our young people are armed with the understanding and responsibility that is being expected of them.

Purposeful data analysis has the power to take the guesswork out and whilst it's not always personalised, it's predictive capability certainly improves the odds many times over. Data can give decision makers the confidence in knowing that risks are now measured, reassuring them that agile can work, even in the oldest of institutions.