Why is Self-service Analysis so Vital?
Self-service analysis allows the user to draw insights from data on their own. The main reason for this decentralisation is that an organisation can respond to market developments more quickly. What is self-service analysis and why is it so vital?
What is self-service analysis?
Self-service analysis is the independent analysis of data to find insights and inform decisions without the intervention of third parties and without in-depth expertise and skills in this field.
Traditional situations
End users typically spend hours gathering and cleansing data in traditional situations in small organisations, partially because they lack the essential knowledge and skills. An end user in a bigger organisation might request data from or have analysis conducted by the IT department. The data expertise is often centered in this department. This strategy also gives the IT department better control over the data quality. One drawback is that the organisation's ability to generate creativity and insights quickly is hampered.
Decentralisation
The self-service analysis alternative reduces reliance on the IT department and becomes a supporting role. This is shifting from data collection & analysis to presenting data in an understandable manner.
Why self-service analysis important?
The main motivation for allowing end users to analyse data on their own is to allow an organisation to adapt to market developments more rapidly. After all, an analysis frequently generates new questions that an end user cannot have third parties address endlessly. An end user frequently has more questions than ten wise men can answer ;)
Anytime and anywhere
Self-service analysis can be performed using simple online tools. Users may extract data at anytime, anywhere, and on any device (desktop, tablet or phone). On a desktop computer, this is often accomplished via a web browser such as Chrome, Safari, or Firefox. A tablet or smartphone is frequently operated via an app downloaded from the app store.
