Transformation Pitfalls and Best Practices
Interested in transformations? Avoid these pitfalls and embrace these best practices to get the most out of data transformation.
Interested in transformations? Avoid these pitfalls and embrace these best practices to get the most out of data transformation.
The best way to appreciate key concepts involving digital transformation is to look at real-world examples. In a recent Kong webinar, I sat down with Solutions Engineer Ahmed Koshok as he reviewed several real-world case studies that help illuminate the role of microservices in making digital transformation successful for organizations. The case studies included Papa John’s, NextJ Systems, and Yahoo! Japan.
As we take stock of how COVID-19 has affected the way we operate, nothing in technology is more apparent than the switch to digital. Although many of us have transitioned from water-cooler conversationalists to reluctant zoom dwellers, the impact on business processes themselves might actually be more profound. According to McKinsey, coronavirus has acted as an accelerant on companies offering digital products and services.
The transportation industry has reached an inflection point – one in which nearly all forms of travel have been met with unprecedented challenges. Transit and airport revenues have been decimated with the lack of passengers, while freight and shipping companies have been overwhelmed with demand from an explosion of e-commerce orders. Despite facing unprecedented challenges, the industry is facing an equally unprecedented opportunity to innovate.
With automation becoming more user-friendly and streamlined than ever before, it's understandable organizations across sectors are examining how it can enhance their analytics capability and accelerate their business shift toward digital transformation.