Synergise IT

No matter what enterprise 2.0, web 2.0 or collaboration technologies promises, quality data is of utmost importance for success. Many knowledge workers are constantly swarmed with emails, tasks, meetings and deadlines. Therefore in order for knowledge workers to contribute to Wikis, update documentation or websites, that would mean that they either need to forgo some work they are tasked to complete or stay back at work later. The technologies above allow people to connect to each other much easier through wikis, social networks or mash ups but the underlying driver is that data is brought to the end user is faster and of high quality. Therefore, people must maintain the dataset well.

Organisations can achieve the stipulated promises of such technologies in two steps. Firstly, employers must evangelise the benefits of sharing information and provide some level of incentive for employees to contribute knowledge. Some examples of incentive can be: using a public ranking system on the quality of the information delivered or providing feedback and evaluation from management.

Secondly, an analysis and management of data within the organisation. Implicit data is extremely powerful, it can tell you things from demographics of customers which can in turn determine your marketing strategy to analysis of the bottleneck within the business processes. If anyone has done reporting and analytics in a large organisation, you would know that extracting implicit data can be a tedious and difficult job. This issue can be solved by using Mike2.0 information management methodology.

Mike2.0 provides a open source methodology for Enterprise Information Management that provides an organising framework for information management. This allows organisations better control and deliver their information to end users and it covers both implicit and explicit knowledge.