You may have noticed that things look a little different round here. We are moving over to a new look, which includes some lovely new logos! These changes will be extended to the platforms in the coming months, but we will give all admins a heads-up before any changes go live. This will not impact how you access our platforms.
Make time-consuming data analysis a thing of the past with the most flexible data analysis solution for schools.
Bringing together pupil progress, performance and pastoral data across Key Stages 3, 4 & 5, Sisra Analytics can be used all year round by all staff, making it much more than exam results analysis.
Want to get a feel for your school performance weeks or even months ahead of official figures?
Our Data Collaboration provides you with vital estimates and information weeks in advance of official figures, allowing for meaningful analysis for your summer exams cohorts as well as current KS4 year groups.
The Data Collaboration is:
Unique to Sisra Analytics, SPI compares performance directly against all students with the same KS2 starting point on a subject-by-subject basis, split by GCSE and Vocational to reflect the differing outcomes – think Subject Progress 8 but better!
Compare student progress or use averages to compare classes, qualification, faculties and more. Not only is this feature useful for comparing your exam/Teacher-assessed grades performance with our ‘national picture’ but it can also be used to assist you with target setting/checking methodologies.
The most significant development in performance analysis this century!
Sisra Analytics makes the complex task of analysing pupil progress and attainment data a lot simpler. Analysis is done for you. We keep up to date with DfE changes so you don’t have to worry about updating formulae and navigating complex spreadsheets.
Sisra Analytics puts the data in the hands of school staff, from class teacher to Governor, providing them with the information and insight they need to make informed decisions surrounding support, intervention and facilitate improvement. Spend more time working with students, rather than analysing data.
Whatever your approach, the system is fully flexible to meet your needs so you can carry on with the method of your choice, whether it be Mastery, 9-1, percentages, sub grades or something entirely different!
Students are so much more than their latest exam or test results. Our Attitude to Learning (AtL) function allows you to perform in-depth analysis of pastoral data alongside grade data, providing you with greater insight than ever before.
As you’d expect from Sisra Analytics, the AtL function is customisable and flexible, so you can select up to 3 categories for analysis of groups, qualifications, classes or individual students.
Comprehensive help section full of guides and checklists, plus integrated online support for admins.
Quick and easy uploads from any MIS. As long as the data can be exported as a csv file, you will be able to upload it to SISRA Analytics.
No more waiting around for manual software updates. We take care of all DfE updates for you too.
Smooth upload and quick publishing time so you can view key Headline figures on interactive charts.
Web-based so you can access the system whenever you need, from any internet-enabled device.
Affordable set fees. No mid-agreement price increases so you can manage your budget.
If you still need more information on Sisra Analytics our FAQs will be able to answer any questions you have.
EAP stands for Expected Attainment Pathway and is the Life after Levels solution within Sisra Analytics.
You may have as many users as you wish. We actively encourage you to add all staff and even governors as a user so that they may easily analyse performance at their leisure. The amount of users has NO IMPACT on the cost of the service.
Sisra Analytics is a very affordable online service. To discuss our fees further please call our team on +44 (0) 151 650 6995.
Yes, we use encryption provided by GlobalSign EV SSL certificates to ensure maximum protection for your data. For more information please see our data security page
Yes. All data sets can be compared to another.
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