How do you really figure out what’s happening in an organisation, how people feel about their employer, and how workplace dynamics are actually playing out? Tools like Organisational Network Analysis (ONA) and machine learning are giving leaders an unprecedented insight into their businesses, helping them to reshape their companies for maximum productivity and happiness.  
Under the skin of an organisation
Culture is crucial. In a competitive marketplace, it can provide a critical advantage, helping to attract and retain the very best employees and impacting organisational performance.
Historically, however, organisational culture has been very difficult to understand and assess. Organisations have had to rely on paper-based surveys, which capture limited information and quickly become outdated. Now, new technology is revolutionising the way that employers assess attitudes, monitor employee engagement, and gauge workplace culture. Culture Workbench from Temporall collects real-time data, uses rich data analytics and machine learning to interpret it, and then helps leaders make evidence-based changes to their workplace.
ONA is central to this technology. ONA analyses the relationships and patterns between people and the impact that individuals have on an organisation. According to Professor Rob Cross, a social network analysis expert, ONA “can provide an x-ray into the inner workings of an organization”. This technology is “a powerful means of making invisible patterns of information flow and collaboration in strategically important groups visible” (‘What is ONA?’).
This means that ONA can unveil things about an organisation that were previously almost impossible for leaders to see. ONA can be combined with quantitative, qualitative and sentiment analysis to build a rich, complex picture of the people dynamics in a workplace.
This is the true ‘who’, ‘what’ and ‘why’ of an organisation’s culture. Culture is constantly moving and shifting, and it can’t be captured in a static org chart or conveyed on a feedback questionnaire. Using these

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