Choose Beyond The LMS And Unleash Your E-Learning Content

The idea to adopt e-learning as an effective corporate training strategy is not new. The transformation from information delivery to just-in-time learning began to take place within few schools. Later, organizations started using e-learning to train their workforce, followed by the deployment of robust Learning Management Systems to cater to customized training needs. By leveraging investments in modern technologies, enterprises are taking e-learning to the next level- generating more revenues and going beyond traditional reach. This concept is known as extended enterprise that showcase the relation between external and internal employees, with some sense of competitiveness.

The extended enterprise uses the most valuable content, seeks support of distribution technology and adopts a focused marketing strategy to extend the organizational reach, revenue and success.

• ·     Reach- It imparts an opportunity for organizations to reach an extensive network of learners.

• ·   Revenue- E-learning extended enterprise helps to generate maximum revenues by reselling the courses beyond existing learners.

• ·        Success- Organizations build a strong network to share its mission and values, thereby boosting its reputation in the market and chances to attain success.

Building a Successful Extended Enterprise

The term extended enterprise in e-learning signifies that the organization can deliver custom e-learning courses through external distribution channels. These channels can comprise of partners, distributors, resellers, affiliates and more. An LMS for extended enterprise requires more than robust technology to boost the business growth:

• ·       Identify the distribution channel

Mostly, digital learning programs begin as a member-focused internal training sessions, with the potential to access courses for non-member learners as well. A proficient channel expert can identify this network of potential learners. Once done, organizations can reach out to them through partners or other resellers that would benefit them.

• ·         Develop an adoption model

The initial step is to develop a business model to incentivize external partners. For distributors, they design optimum quality course which can be delivered at the moment of need. The second step is to market the course, by leveraging existing materials such as collaterals, web content and emails to make their investment time shorter.

• ·         Embed technology to make it easy

Technology for the extended workforce should also support distribution, helping the enterprise flawlessly move courses through distributors and partners. Sophisticated analytic and reporting tools enable organizations to track course delivery in real time.

So, when the extended enterprise takes a strategic decision, develops an effective adoption model and implement new technology, the results can significantly improve and leave a tremendous impact on an organization’s growth and productivity.

The Age Of Data Analytics: Competing In Today’s Technology-Driven World

For the past few years, data has continued to make rapid technological advances, especially on the frontiers of deep learning and automation. Modern organizations collect raw data which is blended with innovative analytical tools to improve workplace productivity and develop new opportunities. They are leveraging new sources to gain incredible value and competitive advantage.

Most of the organizations are in their nascent phase of considering the potential benefits of data analytics at a workplace. With years of experience, they have identified the top use cases of data analytics to deliver the real business value.

Data Analytics in e-learning is the key to unleashing the insights from your customer’s behavior, whether structured or unstructured, because you can collect, blend, integrate and analyze data to boost customer satisfaction and loyalty. For instance, you can get a complete view of customer acquisition journey to organize campaigns that increase conversion rates. Or you also address their failures along the path along with analyzing their behavior at risks of churn. The emerging trend of data analytics is accelerating technological advances and reducing business disruptions:

► Today, most of the enterprises utilize only a fraction of the total value from data available to them. The extreme progress has occurred at location-based and retail sectors who have native competitors from all over.

► The biggest hurdle that companies face while extracting value from data is the task to embed data-driven insights into day-to-day business processes. Another challenge is to engage the right talent who can efficiently blend data with industry expertise.

► Data is considered as a crucial asset for organizations. It comes from the internet, sensors, mobile devices and other sources, and its value associated with the ultimate usage.

► Recent advances in technology have enabled machine learning to solve plethora of problems within an organization. Systems embedding machine learning help to manage logistics, assess medical records and offer incredible customer service.

Big Data and Analytics are trembling the strategies followed by different kinds of industries, leaving a positive impact on their overall efficiency. Today, a bigger wave is emerging on the horizons with the increasing scope for machines to improve problem-solving and decision-making capabilities. In today’s modern scenario, integration of data analytics with e-learning has opened a new space for innovation and personalized learning experience. It helps to engage maximum organizational workforce along with providing instant feedbacks to monitor their performance. This, in turn, helps to reshape the complete e-learning process to identify the impact of learning analytics on present as well as future training models.