Analysing Data on IT Service Requests to Improve Support
In today’s digital age, educational institutions are increasingly reliant on technology to deliver high-quality education to their students. From online learning platforms to communication tools, IT services play a critical role in supporting the smooth functioning of schools, universities and trade schools across the globe. However, managing IT service requests can be a challenging task, particularly when it comes to tracking and resolving issues quickly. In this article, we’ll discuss how analysing IT service request data can help IT managers in educational institutions improve support.
How to Leverage Your IT Support Data
- Identifying Common Issues
By analysing IT service request data, IT managers can identify the most common issues faced by their users. This could include issues like password resets, software installations, or network connectivity problems. Once these issues are identified, managers can take steps to address them proactively, such as providing user training or investing in new software or hardware solutions. - Improving Time to Resolve
Analysing IT service request data can also help IT managers improve their time to resolve issues. By tracking the average time it takes to resolve a particular issue, managers can identify bottlenecks in their support processes and take steps to streamline them. For example, they could implement a more efficient ticketing system or provide additional training to support staff. - Reducing the Number of Open Tickets
One of the most significant challenges IT managers face is managing the volume of service requests they receive. Analysing IT service request data can help managers understand the volume of requests they receive, the time it takes to resolve them, and the number of open tickets at any given time. Armed with this information, managers can take steps to reduce the number of open tickets, such as hiring additional support staff, implementing automated self-service tools, or prioritising urgent issues. - Providing Better Customer Service
Analysing IT service request data can help IT managers provide better customer service to their users. By tracking metrics like response time, resolution time, and customer satisfaction, managers can identify areas for improvement and take steps to address them. For example, they could implement a more user-friendly ticketing system, provide more frequent updates to users on the status of their requests, or invest in additional training for support staff.
Conclusion
Analysing IT service request data is a powerful tool that can help IT managers improve support for their users. By identifying common issues, improving time to resolve, reducing the number of open tickets, and providing better customer service, managers can ensure that their users receive the best possible support and, in turn, help educational institutions deliver high-quality education to their students.
Using Analytics to Improve Parent and Community Engagement
Parent and community engagement is crucial for the success of any educational institution. By involving parents and community members in school activities and decisions, schools can improve student outcomes and create a more supportive learning environment.
What is Analytics?
Analytics refers to the process of collecting, processing, and analysing data to gain insights and make informed decisions. It involves using statistical and mathematical techniques to identify patterns, trends, and correlations in data. Analytics can be applied to various fields, including business, finance, healthcare, sports, and educational institutions. The goal of analytics is to extract meaningful and useful information from data to improve performance, optimise processes, and drive decision-making. There are several types of analytics, including descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics.
There are multiple tools available to help your education institution get the most out of its data. Analytical platforms such as Domo help users unlock hidden insights that are otherwise untapped within their data, to drive decision making and identify patterns early.
How can I use Analytics to Improve Parent and Community Engagement?
Here are some ways that schools can use analytics to improve parent and community engagement:
- Analyse parent and community communication:
Schools can use analytics tools to track the effectiveness of communication with parents and community members. By analysing metrics like open rates, click-through rates, and engagement rates, schools can identify which types of messages and communication channels are most effective at reaching and engaging their target audience. - Track event attendance:
Second, schools can use an analytical tool to track attendance at parent and community events, such as parent-teacher conferences, PTA meetings, and community outreach events. By analysing attendance data, schools can identify which events are most popular and effective at engaging parents and community members. Allowing them to adjust their outreach strategies accordingly. - Monitor social media engagement:
Thirdly, many parents and community members use social media to stay connected with their local schools. By monitoring social media engagement, schools can identify which types of content and messaging are most effective at engaging their audience and adjust their social media strategies accordingly. Domo can help ease the pain of having multiple social media accounts, by visualising data across multiple platforms on a single page. This way, the most effective social media networks can be outlined, and decisions can be made for future success. - Analyse survey responses:
Finally, schools can use surveys to gather feedback from parents and community members about their engagement efforts. By analysing survey responses, schools can identify areas where they need to improve their outreach and engagement strategies.
Conclusion
In conclusion, analytics is a powerful tool that schools can use to improve parent and community engagement. By collecting and analysing data on communication, event attendance, social media engagement, and survey responses, schools can develop targeted strategies to improve engagement and create a more supportive and inclusive learning environment for all students.
Building a Data-Driven School: A Guide to Analytics and Business Intelligence
In today’s world, educational institutions are generating more data than ever before. From student attendance and grades to financial data and employee records, schools are awash in data that can be leveraged to improve operations and student outcomes. However, turning this data into actionable insights requires the right tools and expertise. In this article, we’ll discuss a guide to business intelligence and data analytics to build a data-driven school.
Our Guide to Building a Data-Driven School
- Establish a Data Strategy
Before you can start using data analytics to improve your school, you need to establish a clear data strategy. This should include a clear understanding of your school’s data needs, goals, and objectives. You should also define the key performance indicators (KPIs) that you want to measure and track. - Choose the Right Tools
Once you’ve established your data strategy, you need to choose the right tools to turn your data into actionable insights. This may include business intelligence (BI) tools, data analytics platforms, and data visualisation tools. Look for tools that are user-friendly and provide the insights you need to make data-driven decisions. Our pick of the lot here is Domo. - Build a Data Warehouse
To ensure that you have access to reliable and consistent data, it’s important to build a data warehouse. This is a central repository that consolidates data from multiple sources, making it easier to analyse and use. A well-designed data warehouse can help you get a 360-degree view of your school’s operations and identify opportunities for improvement. Again, business intelligence tools like Domo can be a massive help here. - Develop Key Dashboards and Reports
To make data-driven decisions, you need to be able to access the data you need quickly and easily. Key dashboards and reports can help you do this. These visualisations should provide you with the KPIs that you’ve defined in your data strategy, allowing you to monitor progress towards your goals and identify areas for improvement. - Hire or Train Staff with Data Analytics Expertise
To make the most of your data, you need staff with data analytics expertise. This may include data analysts, business intelligence specialists, and data scientists. If you don’t have staff with this expertise, you may need to hire or train staff to fill these roles. - Establish Data Governance Policies
Finally, it’s important to establish data governance policies that ensure data accuracy, privacy, and security. This includes policies around data collection, storage, access, and use. Data governance policies can help ensure that your school’s data is used ethically and responsibly.
Conclusion
Building a data-driven school requires a clear data strategy, the right tools, a well-designed data warehouse, key dashboards and reports, staff with data analytics expertise, and data governance policies. By following this guide to business intelligence and data analytics, you can turn your school’s data into actionable insights that drive improvements in operations and student outcomes.
How Data Analytics and Business Intelligence can Help Schools Make Better Decisions
It is no surprise that data analytics and business intelligence have revolutionised the way schools make business decisions in 2023. With the increasing pressure to optimise resources and improve student outcomes, schools need to leverage technology to analyse data and make informed decisions. In this article, we will explore how Domo, a leading cloud-based business intelligence tool, can help schools make better business decisions by giving near real-time insights into otherwise overlooked data.
What is Domo?
Domo is a cloud-based business intelligence platform that allows schools to collect, integrate, and analyse data from various sources in near real-time. It offers a wide range of features, including data visualisation, dashboard creation, and predictive analytics. These tools can help school administrators gain insights into critical areas such as student performance, financial management, and operational efficiency.
Benefits of Domo
One of the key benefits of Domo is its ability to provide near real-time data insights. With Domo, school administrators can access up-to-date data on various aspects of their operations, such as student attendance, academic performance, and financial data. This timely data can help administrators make informed decisions quickly, leading to improved outcomes for students and optimised resource allocation.
Another benefit of Domo is its data visualisation capabilities. Domo’s visualisations allow school administrators to see trends and patterns in their data quickly. This enables users to identify areas of improvement, such as where students may be struggling academically or where operational processes are inefficient. By presenting data in a visual format, Domo makes it easier for school administrators to understand complex information and make data-driven decisions.
Furthermore, Domo also offers predictive analytics capabilities. By analysing historical data, Domo can provide insights into future trends and outcomes. This can help your school forecast enrolment numbers, identify areas where resources may be needed, and make proactive decisions to improve student outcomes. Predictive analytics can also help schools identify potential risks and opportunities and take steps to mitigate or capitalise on them.
Importantly, Domo also offers advanced data security features. Schools can rest assured that their data is safe and secure with Domo’s enterprise-grade security measures. Robust data governance features that ensure data accuracy, consistency, and reliability are also included.
Conclusion
Domo is an excellent business intelligence tool for schools looking to improve their decision-making process. With its near real-time data insights, data visualisation capabilities, and predictive analytics features, Domo can help school administrators optimise their resources, improve student outcomes, and enhance their overall competitiveness. As a school IT manager, principal, or business administrator, it is essential to explore the benefits of Domo and other business intelligence tools and incorporate them into your decision-making process.
Data Analytics: The Ultimate Career for Analytical Minds
Are you someone who loves to dig into data, extract insights, and solve complex problems? If yes, then a career in data analytics may be the perfect fit for you!
What does this career look like?
Data analytics involves using statistical methods, algorithms, and tools to analyse and interpret large sets of data to help businesses make informed decisions. Individuals with analytical minds are naturally suited to this field and can thrive in it.
Without a doubt, a job in data analytics typically involves using data to uncover insights and make informed business decisions. The job requires skills in collecting, cleaning, and analysing data using statistical techniques and software tools like Excel, SQL, and Python.
Data analysts work with stakeholders to identify business problems, formulate hypotheses, and develop data-driven solutions. They may also be responsible for creating reports and dashboards to visualise data and communicate findings to non-technical audiences.
Nevertheless, data analysts work in a variety of industries such as finance, healthcare, retail, and tech. They may work independently or as part of a team, and their job responsibilities can vary depending on the organisation’s needs.
Why might this be the perfect job for those with analytical minds?
- Analytical Skills are Crucial
First, the primary requirement for success in data analytics is having analytical skills. These skills involve the ability to examine data closely, draw meaningful insights, and connect the dots to drive business outcomes. Individuals with analytical minds are naturally equipped to handle the technical aspects of data analytics. - Complex Problem Solving
Secondly, data analytics often involves analysing complex sets of data and finding patterns that are not always immediately visible. Individuals with analytical minds thrive on complex problem-solving and can use their skills to unravel complex data sets. - Strong Attention to Detail
Thirdly, the success of your data analytics career relies heavily on attention to detail. Analysing data requires examination of every data point, looking for trends and outliers, and identifying potential issues. Individuals with analytical minds are naturally inclined to pay close attention to detail, which is crucial in data analytics. - Effective Communication
Furthermore, a career in data analytics involves interpreting data and presenting insights to stakeholders in a way that is easy to understand. Individuals with analytical minds have excellent communication skills, which they can use to effectively communicate insights and recommendations to non-technical stakeholders. - Continuous Learning
Finally, data analytics is a constantly evolving field, and staying up-to-date with the latest tools and techniques is essential. Individuals with analytical minds are always looking to learn and improve their skills, making them a perfect fit for this field.
Conclusion
To summarise, a career in data analytics is perfect for those with analytical minds. The field offers the opportunity to use analytical skills to solve problems, pay close attention to detail, communicate effectively, and continuously learn. If you’re someone with an analytical mind and a passion for data, a career in data analytics could be the perfect fit for you!
Using Predictive Analytics to Support Student Retention
Predictive analytics is a rapidly growing field that has the potential to shake up how schools and universities approach student retention. By leveraging their data, schools and universities can identify students who are at risk of dropping out and provide them with the support they need to succeed. In this blog, we’ll explore how predictive analytics can improve student retention rates and some tricks to help you do so.
What is Predictive Analytics?
Predictive analytics is a process that involves analysing data to identify patterns and make predictions about future outcomes. In the context of student retention, predictive analytics involves analysing student data to identify students who are at risk of dropping out. This can include data such as grades, attendance records, and student demographics.
By identifying students who are at risk of dropping out, institutions can provide them with tailored support to help them succeed. This can include interventions such as tutoring, academic advising, and mentorship programs. By providing students with the support they need to succeed, institutions can improve student retention rates and help more students achieve their academic goals.
How do you do all of this?
The answer may be simpler than you think. Analytical tools like Domo can help institutions monitor, manage, transform, visualise, and even blend data from multiple sources to unlock hidden insights into what is otherwise untouched data.
Here are a few simple ways an analytics tool like Domo can help schools and universities support their student retention rates:
- Identify at-risk students
Predictive analytics can help educational institutions identify students who are at risk of dropping out by analysing student data such as grades, attendance, and engagement. This allows institutions to intervene early and provide support to help these students stay on track. - Analyse student feedback
Institutions can analyse student feedback from surveys, focus groups, and other sources so they can understand student needs and preferences. This information can help institutions improve programs and services to better meet student needs and improve retention. - Track institutional goals
Key performance indicators (KPIs) related to student retention, such as graduation rates and student satisfaction should be measured and evaluated over time. By monitoring these KPIs in real time, institutions can quickly identify areas for improvement and take action to improve retention. - Personalise support
Finally, institutions should personalise support for students by analysing data such as student demographics, academic performance, and engagement. As a result, institutions can tailor interventions to meet individual student needs, leading to improved retention.
Conclusion
In summary, predictive analytics is a powerful tool that can help educational institutions improve student retention rates. By using their data, institutions can identify students who are at risk of dropping out, monitor their progress over time, analyse student feedback, track internal institutional goals, and personalise student support. By embracing predictive analytics, institutions can improve student retention rates and help more students achieve their academic goals.
Using Analytics to Improve Student Performance
Analytics, or the use of data analysis tools to gain insights into complex systems, is revolutionising the world of education. Educators are now using data analysis tools to gain insights into student performance, identify areas of improvement, and implement targeted interventions that can help students succeed. In this blog post, we will explore how analytics can be used to improve student performance.
What is Analytics?
Analytics refers to the use of data analysis tools to gain insights into complex systems. In the context of education, analytics can be used to analyse student performance, identify areas of improvement, and implement targeted interventions that can help students succeed.
Why is Analytics Important in Education?
Analytics is important in education for several reasons. First, it can help educators gain insights into student performance and identify areas of improvement. Second, it can help educators identify students who are at risk of falling behind and implement targeted interventions to help them succeed. Third, it can help educators track the effectiveness of interventions and adjust their strategies accordingly.
Using Analytics to Improve Student Performance
There are several ways that analytics can be used to improve student performance. In this section, we will explore some of the most effective strategies.
- Tracking Student Progress
One of the most effective ways to use analytics to improve student performance is to track student progress over time. This can be done by collecting data on student performance, such as grades, test scores, and attendance records, and analysing this data to identify trends and patterns.For example, if a student is consistently receiving low grades on math tests, analytics tools can be used to identify specific areas of weakness, such as algebra or geometry. Based on this information, educators can implement targeted interventions to help the student improve their math skills. - Identifying At-Risk Students
Another effective way to use analytics to improve student performance is to identify at-risk students. This can be done by analysing data on student performance, such as grades, test scores, and attendance records, and looking for patterns that indicate that a student is at risk of falling behind.For example, if a student is consistently absent from class, has low grades, and is not meeting benchmarks for reading and math skills, analytics tools can be used to identify this student as at risk. Based on this information, educators can implement targeted interventions to help the student succeed, such as providing extra support or adjusting the curriculum to meet the student’s needs. - Personalise Learning
Another effective way to use analytics to improve student performance is to personalize learning. This can be done by analysing data on student performance, such as grades, test scores, and attendance records, and using this data to create personalized learning plans for each student.For example, if a student is struggling with reading comprehension, analytics tools can be used to identify specific areas of weakness, such as vocabulary or critical thinking skills. Based on this information, educators can create a personalized learning plan for the student that includes targeted interventions to help them improve their reading comprehension. - Predict Results
Combining historical results with existing data and artificial intelligence can yield scarily accurate predictive models on how a student will perform. The benefits of this are numerous, both from career planning for older students, to determining where funding is best used for interventions in earlier years. As schools and analytics systems mature, these predictions will continue to grow in accuracy and prevalence. - Evaluate Interventions
Finally, analytics can be used to evaluate the effectiveness of interventions. This can be done by analysing data on student performance, such as grades, test scores, and attendance records, and comparing this data to the data collected before the intervention was implemented.For example, if a student is receiving extra support to improve their math skills, analytics tools can be used to analyse their math test scores before and after the intervention was implemented. Based on this information, educators can determine whether the intervention was effective and adjust their strategies accordingly.
Conclusion
To date analytics is a powerful tool that can be used to improve student performance in a variety of ways. Whilst most schools are already collecting structured and unstructured data across a range of various systems, the sad reality is they are not utilising this data effectively. Through combining their data into a useful, structured data set, schools can better track student progress, identify at-risk students, improve, and personalise learning and lesson plans and evaluate their actions, all while minimising the out of classroom activities that teachers wish to avoid. A tailored analytics suite can also compare your performance data to other schools and provide a useful indicator on where resources are best utilised to ensure students succeed.
Education360 Launch Day | Penola Catholic College
The team have headed to Penola Catholic College in the suburbs of Melbourne to throw an end-of-year barbeque and celebration day, as well as to assist with the full-scale launch of Education360 within the prestigious Catholic School.
It is always a nice opportunity to catch-up with clients in a more low-key, informal environment like this, as it gives us a chance to connect with people on a more personal level. We hope everyone enjoyed the food that was cooked up on the day, and got a chance to get stuck into Education360 and all its amazing data management, visualisation and monitoring capabilities!
9X5 Consulting at Zoholics Sydney
Zoholics is an annual user conference that gives Zoho customers the chance to get up close and personal with Zoho products, network with peers and experts, and have fun. It is built to help our audience understand how Zoho’s one-of-a-kind applications can help their business take one step forward.
The team have headed up to Sydney to attend this years’ rendition of the Zoholics user conference event held at the ICC Convention Centre in Sydney. It is always great to see the products we use and the team behind them, along with getting sneak-peeks and exclusive demonstrations of new and exciting features of Zoho.
EduTech Asia Wrap Up
The team at 9X5 Consulting have headed to Singapore for 2 days of showcasing our Education360 product at this year’s EduTech Asia Conference at the Marina Bay Sands Convention and Expo Centre!
These events give us an amazing opportunity to network and connect with hundreds of amazing educators, business professionals & IT Leaders from Singapore and the surrounding countries, it was truly an honour to get to meet so many amazing people at the event.
We cannot wait for more of these trade shows in 2023 and beyond, and you will definitely be seeing more of the big orange booth in the very near future!
