I see a massive opportunity for learning analytics to take advantage of structured and unstructured data in helping employees, teams, and organizations become more precise in deploying scare resources, selecting learning opportunities, maximizing knowledge transfer, and measuring the results, an effective digital learning and development strategy will also focus heavily on using learning analytics and having defined a goal, uniquely, use cases will first be identified, and prototypes will have to be evaluated to make certain of adding value for users.
Make sure the business model, culture, organizational model and people are tightly aligned to allow your organization to compete and succeed, organizations must actively seek efficient ways to minimize the loss of knowledge through employee retention and, or effective experiential knowledge management. Above all, tailoring your organization towards innovative knowledge solutions based on actual business needs and solid uses cases is one of your key levels of expertise.
Maybe the biggest challenge you face as a society is your ability to unlearn – to let go of – outdated concepts and beliefs in order to adopt new approaches, applying learning analytics to improve the effectiveness of its learning platform. As well as, extracting value from your analytics investment requires sufficient staff, well-defined processes, a clear business strategy, and leadership support.
There are many tools and methodologies that can help create a process in order to identify successes of its programs and initiatives, with aws portfolio of data lakes and analytics services, it has never been easier and more cost effective for customers to collect, store, analyze and share insights to meet business needs. Furthermore, thus, learning analytics and intelligent learning applications are strongly linked.
Learning Analytics gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale, these perceptions are detrimental to the future of your profession, analytics is a young field and in order to grow you need to attract people and business by making yourselves and your work as accessible as possible, likewise, effective management of big data analytics technologies and techniques can help you gain valuable insights into users.
You need to rethink learning analytics with a focus on value as opposed to learning as a key benchmark, predictive analytics uses data mining, machine learning and statistics techniques to extract information from data sets to determine patterns and trends and predict future outcomes, also, the learning analytics market is poised for tremendous growth, and there are a lot of trends that will continue to shape the future of learning analytics in organizations.
Analytics, and organizations will fail to achieve optimum business benefits from investments, instead of simply presenting information about past events to a user, predictive analytics estimate the likelihood of a future outcome based on patterns in the historical data, plus, by processing and transforming recorded data, analytics aims to find meaningful patterns and knowledge to help businesses make better decisions.
Big data analytics helps organizations harness data and use it to identify new opportunities, most organizations are still at the first maturity level of people analytics (reporting), plus, design the structure of your organization in a way that will have to best support your business.
Want to check how your Learning Analytics Processes are performing? You don’t know what you don’t know. Find out with our Learning Analytics Self Assessment Toolkit: