Data analysis
Data analysis is a critical component of effective decision-making and can help organizations to improve outcomes, drive change, and ultimately achieve their goals.
Analytical approaches
At Edu.Data we use a suite of analytical approaches to ensure we can extract the data you need to answer your toughest questions.
What is data analysis?
Data analysis is the process of interpreting the data collect to draw conclusions and make data-driven decisions.
The benefits
1. It helps to identify areas of improvement:
By analyzing data, organizations can identify areas of weakness or underperformance and develop strategies to address these issues.
2. It informs decision-making:
Data analysis can provide valuable insights that help organizations make informed decisions. This includes decisions related to program development, resource allocation, and operational strategies.
3. It helps to monitor progress:
By analyzing data over time, organizations can monitor progress towards their goals and objectives, and make adjustments as needed.
4. It supports evidence-based practices:
Data analysis provides evidence to support decision-making and can help organizations make decisions based on facts rather than assumptions or intuition.
5. It supports accountability and transparency:
By collecting and analyzing data, organizations can demonstrate their accountability and transparency to stakeholders, including funders, regulators, and the public.
Edu.Data offers the following analytic services:
Quantitative data analysis
Quantitative analysis involves using numerical data to create visualisations and inform school or organisational improvement discussions. Often settings have this data available, we therefore work with stakeholders to craft your ‘data story’ using the available data.
Interviews & Focus Groups
We are under construction. More information is coming.
Observation
Observation is a crucial part of qualitative data collection and plays an important role in establishing the opportunities and challenges within any educational setting.
Situational analysis
Often one method of data collection does not provide enough information therefore we layer data sets to produce valid, informative data pictures.
Designing data collection technology (Apps)
In 2021 Edu.Data designed an app for Your Edu Journey that supported teachers in gathering formative assessment data. From this starting point we have designed further agile data collection tech.
Competitor analysis
When developing educational products it is important to identify competitors in your industry and research their different marketing strategies to place yourself in the market.
“Data is one of the most powerful tools to inform, engage, and create opportunities for individuals along their journey through education and into the workforce.”
Data driven practice has become the new normal in education.
Specifically it supports educators in:
- Establishing the impact high quality practice has on student outcomes.
- Driving student growth.
- Creating a roadmap to track school improvement against.
- Boosting educational outcomes across school settings.
- Supporting student wellbeing.
- Recording Key Performance Indicators.
Dive in to some of our case studies
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