Your students’ data or online behaviour is being collected in many ways with cookies or online forms requesting user consent. This harvesting of information has led to massive pools of data which can be analysed to further help your organization.
The big picture:
1.145 trillion megabytes of data is produced by humans every day.
Collectively, we will be generating 175 zettabytes of data by 2025.
Massive pools of untapped data
Usually, the data collected remains siloed. This results in multiple views of the same data or student – meaning duplication and data disorder. When you deal with data from only one source such as admission forms, Customer Relationship Management (CRM) data or institute app data, you are bound to lose the context.
Not having mechanisms to precisely collect, cleanse and interpret data will hinder your institute from connecting with your students, who are operating within increasingly smart environments. And, making sense of real-time data will help you uncover opportunities to increase revenue, retention and growth.
So, to make comprehensive sense of data you will need the right systems to assimilate and analyse a variety of high volume and velocity data – and most essentially, providing context.
Uncover opportunities by making sense of data
Giving meaning and context to available data can uncover emotions and sentiment about your students, programs or even teaching patterns. Combining this new knowledge to tailor your services will help in generating relevant context and instant connection with your students.
For example, let’s say a potential applicant wants to join a data science course. To start with, they’ll search for courses on Google, browse through the curriculum and testimonials and exit your website without registering for the course. Based on their search, you can position your data science course through a sponsored ad saying, ‘Make your dream of becoming a data scientist come true, register before Dec 31st and to get 15% off.’
That then raises the question, who can help you track your institute’s student, course or certification data, helping you uncover unprecedented opportunities? This is where Certif-ID can help.
Cohesive approach to unifying and analyzing data
To meet the needs of students and recruiters, you need to partner with companies developing techniques and tools for analysis at scale handling multiple different data sets.
Introducing machine learning and artificial-intelligence powered tools to perform data search, cleansing and data fusion will lead to bespoke audience curation, design cross-screen marketing and enrich your digital-world customer data with real-world intelligence.
Tapping into a fully integrated system like Certif-ID that delivers reliable analytic capabilities on large datasets will enable your institute to learn – and learn fast – and mitigate errors through relevant insights.
From identifying student journeys and unifying marketing efforts to creating measurable interactions and building affinity among your stakeholders, data can be made to work for your institute.
The dangers of poor and incomplete data collection and analysis
- Revenue loss
- Inaccurate marketing
- Decreased student loyalty
- Poor brand reputation
These are just a few points, but bad data can significantly alter your business outcome.
Think of it like this, ‘garbage in, garbage out’.
Regardless of where raw student information is being gathered, to understand a student at a deeper level you will need to utilize new datasets and emerging technologies to make sense of them.
The data needs to be accurate (reflecting real-world scenarios) without duplicates, consistent (mapped and streamlined from multiple data sources), complete (not having biased samples) and relevant.
To gain enhanced understanding of how data analytics can help uncover unprecedented opportunities, book a consultation now! Also, please feel free to write to us here.
Also read: Transferable Skills can Help Students Achieve Career Success https://nationalskillsnetwork.in/transferable-skills-can-help-students-achieve-career-success/
