Relevant knowledge is beneficial, but bad data is disastrous. One challenge is maintaining knowledge accuracy. If one data point is inaccurate, it can cause a ripple effect. Moreover, it may discourage further use of KM.
To maintain KM accuracy, it helps to monitor the knowledge base articles. Use tools that check for accuracy or human team members to perform regular checkups.