CICPD Microcredential Programme - Digital Transformation
In today's rapidly changing business landscape, organisations face unprecedented challenges and opportunities brought about by the power of technology and data. The digital revolution has fundamentally transformed the way we operate, communicate, and make decisions. To stay competitive, relevant and achieve long-term success, businesses need to navigate the intricacies of digital transformation and leverage the immense potential of data analytics. By embracing digital transformation, organisations can optimise their processes, enhance customer experiences, and drive innovation. Moreover, harnessing the power of data analytics enables businesses to uncover valuable insights, make data-driven decisions, and gain a significant competitive edge.
In this dynamic workshop, we will guide you through the essential principles, strategies, and tools of digital transformation and data analytics, equipping you with the knowledge and skills to drive organisational success in the digital era.
Prerequisite:
No prerequisite to attend this workshop
Learning Time:
16 hours (2 days)
CICPD Credits:
8
Credential:
Certificate of Competency
(a) Understand the key features of a digital business and discover the characteristics of a digitally mature organisation
(b) Understand how digitalisation affects internal stakeholders and customers, and the use of digitalisation in their daily work
(c) Learn to identify the skillsets needed when embarking on a digital transformation journey
(d) Learn how to develop a talent development framework to attract and retain the right talent
(e) Learn to identify the technology requirements when embarking on a digital transformation
(f) Learn to identify process improvements and manage change
(g) Understand the success factors of driving digital transformation in an organisation
(h) Understand the principles of data, open data and big data
(i) Understand the usage of data analytics through use cases
(j) Explain the importance of data analytics for decision-making in the business context
(k) Identify the role of personnel in the data science process in an organisation
(l) Define the challenges of implementing data science in an organisation
(m) Define the requirements of a data professional in a platform
(n) Identify data collection sources in an organisation
(o) Define the life cycle of how data is generated, collected, processed, used, and analysed to achieve business goals
(p) Learn the basics of collecting, organizing, protecting, and storing an organisation's data so it can be analysed for business decisions
(q) Learn the basics of data visualisation
(r) Create an initial project plan for an automation or digitalisation project
C-suite Executives
Senior Management in
Other Practitioners
Deloitte