Managing people and processes through data driven technology
Such growth cannot be quickly reversed. Technology has, and will probably continue, to facilitate remote working and remote collaboration for the foreseeable future.
Collaborative platforms are seemingly deeply embedded in new ways of working and have proven to be effective management tools for many.
How about training through technology? Aside from YouTube, there has been a proliferation of learning platforms, e-conferences and webinars, that have largely replaced in-person events. Online learning academies were already in vogue for many corporations prior to the Covid-19 crisis.
The emergence of Artificial Intelligence (AI), most notably in the finance and legal sectors, has eliminated the need for junior professionals to perform vital but repetitive tasks. This points to a shift away from learning by doing, to learning through technology assisted simulators. Mentoring and shadowing could also be at least partially moved online.
None of this, however, will resolve an issue already well understood by employers seeking to recruit new talent for their organisations. Remote working does not easily allow new employees to assimilate into company cultures and create professional and personal networks within the business. This will be most keenly felt by those starting out on their career. It may become common practice for new recruits to spend a prolonged induction period on-site or in-situ.
Using big data to personalise environments
Collaboration and interaction will remain key to successful enterprise. It will be therefore necessary to attract staff to the office by providing them with a space “fit for purpose”.
Data gleaned from building sensors, cameras, mobile devices, lighting, wearables, etc. must be properly leveraged. If used correctly, they can provide insight into space utilisation, individual comfort and interactions. In turn, these insights can support continual improvement and adjustment of the workspace to individual and collective needs.
The Internet of Things (IoT), big-data and AI can be used to inform the best office configuration for specific tasks, or to measure air quality, acoustic quality and lighting level. The ultimate aim is improved end-user satisfaction.
Recent case studies in workplace technology are proving its effectiveness in measuring interaction and collaboration. Data generated by intelligent buildings and connected devices is of better quality and more prevalent than ever before. It can be tied together to drive and curate working ecosystems, to analyse what winning teams are doing differently and to encourage the adoption of similar practices.