This guest blog has been put together by Tony Nneke, Higher Education Specialist at HEPI Partner Oracle.
Student number planning is a complex task. Historically, student number data has been completed in spreadsheets and compiled from data from lots of different departments and systems – from finance departments, academic administrators through to admissions. This involves a great deal of manual input and manipulation, which can lead to errors and duplication of effort.
We, at Oracle, understand these challenges and believe we can improve the student number planning process. In partnership with Namos Solutions, we have come up with a much easier way for universities to forecast student numbers and allow them to look at data in a completely different way.
To show you how, we would like to invite you to take part in our Smarter Student Planning Webinar during which we will be demonstrating how the Oracle Planning and Budgeting Cloud Service can help you to collect and decipher data efficiently. Our aim is to provide you with a single ‘point of truth’ from your data to help you better manage student number forecasts and budgets.
During the webinar, Oracle will demonstrate why the likes of Durham University have already implemented this solution and are realising greater flexibility in the way they make predictions and model the impact of strategic initiatives. Further information relating to Durham’s achievements can be found here.
So, join us on either Tuesday 14 August or Tuesday 11 September from 2.15pm – 3pm to find out how you can improve your functionality and efficiency and provide better reporting across your university.
The webinar is scheduled to last for 45 minutes, including 10-15 minutes of ‘Question and Answer’ time.
Register here for the webinar today.
If you are unable to make either of the dates provided but would like a discussion around student number planning and how Oracle Cloud can help you deliver impact then please contact Tony Nneke, Higher Education Specialist at Oracle, at email@example.com