Organisations across the world have started to realise the importance of employee learning for better organisational performance and growth. This is perhaps why they have started to bring learning analytics blueprint to the centre of their training programs.
Learning analytics focuses on the collection, measurement, analysis, and reporting of data about learners to better understand and optimise learning. But there’s much more to using data to find how learning activities are performed in the past and present. It can also help organisations find new learning paths and predict what may happen in the future, thus helping them keep abreast of trends and patterns to stay competitive and future-proof their operations.
That said, using learning analytics effectively requires a mission-critical learning analytics blueprint. Creating the blueprint starts with understanding the nitty-gritty of four different types of analytics. These analytics are key reporting strategies and approaches that push an organisation towards making data-driven decisions. Let’s have a look at them:
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Descriptive analytics:Today, most companies rely on descriptive analytics. It summarises and highlights patterns in the past and current performance and effectiveness of training programs. These patterns are used to create reports, KPIs, and business metrics that allow organisations to track their performance and other learning trends.
Diagnostic analytics:Diagnostic analytics delves into the data of descriptive analytics to spot and establish correlations between training outcomes and what those outcomes could mean for learners and the organisation. With diagnostic analytics, organisations can begin identifying insights and trends that can have stronger implications on employee learning and organisational goals.
Predictive analytics:Predictive analytics relies on diagnostic analytics and leverages mathematical models to predict the likelihood of something happening in the future. Using data gathered from internal operations and placing them against external indicators of change, enables organisations to forecast what and how to innovate and streamline their training operations and learning initiatives. With predictive analytics, training leaders can help their organisations identify where to zero in and put efforts to be competitive.
Prescriptive analytics:Prescriptive analytics builds on predictive analytics and applies patterns to trends and insights obtained using predictive analytics. It then models the most likely outcomes depending on what the patterns reveal. Then, it suggests the best possible actions in response to the data and informs you of what should happen.
Using different analytics for a learning analytics blueprint
Each type of analytics interacts differently with training data and offers different but valuable information about employees, such as why they learn new skills, why some leave and some stay, and more. This information is extremely helpful in optimising the organisation’s learning activities, especially in today’s reshuffling business environment.
Building a successful learning analytics blueprint will not only make training easier and more effective for employees but also prepare your organisation for the events that may happen in the future, saving you from getting unexpected blows.
Reference:
- Taking Data To The Business: Learning Analytics And Your Organisation | Emma Chambers | Jan 21 2022
- How Learning Analytics Blueprint Helps Organisations Future-proof Operations | John Peebles CEO, Administrate | June 24 2022
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