Using Gnowit, Igor greatly improved his productivity, uncovering more highly-relevant articles in a shorter period of time. He was surprised by the breadth of coverage available, which he could clearly see once all of his results were presented in one comprehensive visual format.
The CoreAlerts dashboard allowed Igor to see the big picture, providing a cross-Canada snapshot of all relevant coverage for a given two-week period. Statistical overviews – conveyed through clear, easy-to-interpret visuals – allowed him to quickly assess whether there were enough useful articles for the week’s media watch.
Thanks to Gnowit’s sophisticated filtering process, Igor was able to track journalists and events that mattered to the NCCM without digging through scads of unhelpful material. Duplicate articles were aggregated to make search results more manageable. The number of times each article had been republished was tallied up and displayed, allowing Igor to track the distribution of particular news items across the country. Article summaries – generated by artificial intelligence – helped further narrow down pools of results, enabling him to ignore items that were not immediately useful.
On the whole, using Gnowit allowed Igor to increase his productivity by over 200%. This number is based on the amount of time he spent monitoring the media before and after implementing CoreAlerts, and does not take into consideration the increased quality of the results he reportedly found using the software.
CoreAlerts met Igor’s research needs better than manual-monitoring methods or the other leading automated-monitoring software he tried.