What Were Folks Reading in 2021

 It's always a thrill to see what people are interested in these days of intense business challenges and digital progress. There seems to be a keen interest in automation to drive the benefits train of digital progress. There are plenty of things to read on automation and hyper-automation, so I focused on emerging topics in 2021. There seems to be a general drive towards speedy management of both operations and initiatives that are driven by strategic directions. This drove the number of hits up for topics like Results-Oriented Communications (ROC) that links strategy to detailed activity support those strategies. It also piqued the interest in Real-Time Dashboards and Management Cockpits. There was plenty of debate around the meaning of Digital Transformation and the Digital Business Platform (DBP). An emerging theme seems to revolve around accountability and transparency of outcomes. results, and improvement. Most driven by Customer Journeys and now Employee Journeys in the Hybrid Era as Communications are in Chaos with the speed of business and the distances resources are from each other. All of this is highly dependent on data sources that are lacking accuracy and are growing in unimaginable ways putting a premium on Reducing Data Sprawl and Building a Data Mesh on a Unified Database. There has been a shift in activity in Europe toward the northern countries where innovation often starts. It's been a good year for learning about the early results of digital innovation setting the stage for 2022.  Take a peek at the graphs below to pick out some reading in advance of 2022 and all the best in your digital lives. Click on the Images for a blow-up of the visuals. If you have topic ideas for 2022, comment on this post or contact me through Linkedin.

 

Net; Net:

Organizations have been picking low-hanging fruit off the digital tree and have been combing the very best yielding technologies to get solid benefits. These include process management, RPA, Machine Learning (Easy AI), Data Mining, and Low Code. All of this while trying to be opportunistic with new data and new data types.