Workplace Digital Transformation

Workplace digital transformation involves people, digital technologies and digital processes to built digital operating models for creating efficiency, speed to market, agility and innovation.

Transforming workplace should be an evolving process, starting with quick wins that drive value, building momentum with cost savings and top line growth, and improve digital maturity by eliminating manual processes.

Transition to next generation operating models requires a holistic approach to integrate end-to-end workflow based digital processes, using advanced digital technologies and machine learning, operated by analytic and innovative minds for new norms of efficiency and agility. 

Customer centric operating models will be developed since they directly target client experience and create more value for customers, employees and company. 

Creation of digital processes and selection of digital technologies

• Integrating innovative processes and business practices should be driven by cost reduction or market expansion.
• The sequence of the application selection is critical for digital transformation and should take place incrementally over time. 
• Digital technologies should be selected according to the business needs and their rollout should be in line with process design. 
• Advanced digital technologies based on artificial intelligence, should be taken into consideration to increase speed to market and agility.
• Building operating model for costumer experience and value creation will determine the right mix of capabilities and resource utilization.
• Ecosystem integration, process and technology outsourcing need to be assessed for cost reduction, efficiency and value propositions. 

Fostering innovative thinking, analytical mindset, and teamwork:

• The human aspect of digital transformation play the most important part in workplace transformation. Change-management initiatives should be in place for a smooth transition to client centric corporate culture.
• Innovative thinking is critical for selection and implementation of digital technologies and processes. Machine learning will only produce expected efficiency with innovative thinking.
• Analytical mindset is a must to utilize big data, predictive analysis and artificial intelligence to benefit from data based decision making for agility and efficiency.
• Building dedicated local teams in global work environment will require special focus. Eco-design, remote working, cultural and gender equality, and generational gap are the main topics to consider.
• Creation of client centric dedicated teams play an important role to deliver customized client experience. 

• Assess digital maturity and digital formation readiness by performing in-depth gap analysis. 
• Redefine processes based on workflow principles by focusing on quick wins and momentum building. 
• Redesign core infrastructure and enterprise platforms to utilize smart data, and artificial intelligence to connect to ecosystems.
• Identify technologies to improve existing business processes and optimize asset and resources for enabling savings.
• Ensure staff participation in digital transformation and assess the existing talent inventory. Launch necessary training programs and and reform hiring practices to close the gap.
• Create new efficiencies through new digital operating models.

Building a next-generation operating model for the digital world with the objective of creating new levels of agility and efficiency for better customer experience is a multi-year task and requires a well-defined strategy and implementation plan. 

Operational excellence is a mindset that embraces creation of value and its delivery to customers