1 Data sources and integration

The first feature to consider is what data sources and integration options the platform offers. You want a platform that can access and combine data from different sources, such as your learning management system (LMS), your content authoring tools, your web analytics tools, your surveys and feedback forms, and your external databases and applications. This way, you can get a comprehensive and holistic view of your learners and their learning experiences. You also want a platform that can integrate seamlessly with your existing e-learning infrastructure and workflows, and that can support various data formats and standards, such as xAPI, SCORM, or LTI.

2 Data visualization and reporting

The second feature to look for is how the platform visualizes and reports the data. You want a platform that can provide you with clear, interactive, and customizable dashboards and reports that show you the key metrics and insights you need to make informed decisions and take action. You also want a platform that can allow you to filter, segment, compare, and drill down into the data, as well as export, share, and embed the reports in different formats and platforms. Additionally, you want a platform that can offer you real-time or near-real-time data updates, alerts, and notifications, so you can monitor and respond to your learners' needs and progress.

3 Data analysis and interpretation

The third feature to look for is how the platform analyzes and interprets the data. You want a platform that can apply advanced and reliable data analysis techniques, such as descriptive, diagnostic, predictive, and prescriptive analytics, to help you understand the past, present, and future trends and patterns of your learners and your e-learning program. You also want a platform that can use artificial intelligence (AI), machine learning (ML), natural language processing (NLP), and other emerging technologies to enhance the data analysis and interpretation process, such as by providing recommendations, suggestions, feedback, or guidance based on the data.

5 Data quality and accuracy

The fifth feature to look for is how the platform ensures the data quality and accuracy. You want a platform that can provide you with valid, reliable, consistent, and relevant data that reflects the reality and goals of your learners and your e-learning program. You also want a platform that can help you identify, prevent, and correct any data errors, gaps, or biases that may affect the data quality and accuracy, such as by using data validation, verification, cleaning, or auditing tools and methods.

6 Data culture and literacy

The sixth feature to look for is how the platform supports the data culture and literacy of your organization and your learners. You want a platform that can help you foster a data-driven mindset and practice among your e-learning stakeholders, such as by providing training, support, resources, and incentives for using the data effectively and ethically. You also want a platform that can help you develop the data skills and competencies of your organization and your learners, such as by offering data literacy courses, assessments, badges, or certificates.