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“You always have to be at the top of your game and you’re always improving because of the people around you. I train the way I do every day because in the end, I love what I do. When I’m having a rough day, I remind myself how great my job is.” – Shannon Boxx
The CEO Agenda Insights research study performed by Gartner, in 2015, indicates that IT investments have increased since last year and 50% of them are now dedicated to business intelligence analytics tools. These statistics reveal an increased interest in terms of collecting and processing big data volumes.
Gathering data for KPI results is one of the most common challenges that professionals face when measuring performance. An effective data gathering process should not only provide timely performance data, but also highly qualitative data. Designing such a process is indeed a challenge in itself, and establishing what quality data means is also a demanding task.
On the road to developing a strategic plan destined to determine and improve either the general performance of an organization or performance within a particular department, specific tools have proved themselves to be very useful for assessing the current situation and taking the next logical steps towards achieving the objectives set. One of the most used and most useful tools, when properly applied, is data analysis, due to the clear and precise insights an organization can gain from it.
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