Data Analytics and Market Sensing (Synchronous e-learning)
About This Course
<p>From robots and artificial intelligence taking root in the workplace to the coming of age of the Internet of Things (IoT) and Big Data getting bigger, business can expect to see disruptions in industries, sectors and markets. Globalization and the rapid commoditization of goods and services have laid the ground for far more intense disruptions, and no sector or industry or market will be immune to these changes.</p>
<p>Technology will continue to lead the disruption with the coming of age of fields like quantum computing, augmented and virtual reality, blockchains, robotics, etc. New business models will evolve and new businesses will be created, many of which will be involved in the field of advanced manufacturing. For example, smart systems (solutions that incorporate functions of sensing, actuation, and control in order to describe and analyze a situation, and make decisions based on the available data in a predictive or adaptive manner, thereby performing smart actions) will be rolled out to maximize the use of resources, increase productivity and improve business operations.</p>
<p>Many, if not all, businesses will have to adapt to the changes that is happening in their companies. Many will have to embrace the changes, accept that business models and processes have to be responsive and that employees at all levels need to work differently and be vested in its growth and development. Employees will have to change for change sake as they are an essential part of the new normal, for example, as systems become more sensing, so too must the employees and the company as a whole. Those that are not adapting and changing will find it hard to remain relevant.</p>
What You'll Learn
<p>As companies work towards remaining competitive, empirical evidence shows that a successful company has an uncanny ability to come up with products and service at the right time and a management team that is able to adapt to changes and is great at implementation.</p>
<p>The objective of this course is to provide a high-level practical overview of data analytics and market sensing from the companys point of view. This course provides individuals and businesses with templates on how to get involved in data analytics and to be more sensing, i.e. being able to seek out opportunities and anticipate threats using sensing tools and methods like data analysis, benchmarking, etc. Quoting Peter Drucker, What a business needs most for its decisions especially its strategic ones are data about what goes on outside it. Only outside a business are there results, opportunities and threats.</p>