“Small Data”, it’s often overlooked in preference to its Big Data counterpart…but it’s possible to overcomplicate data analytic projects and walk past the low hanging fruit.
Small Data doesn’t require the collection of masses of data, storage in clusters of databases and over-investment in analytics technology. It usually consists of the data that you’ve already within reach of your fingertips.
While sometimes this data will be messy and disconnected, It’s usually possible to bring it together and provide some fast insights to drive your organisation’s next decision.
Benefits of small data projects are high success rates, quick turnarounds and cumulative financial gains.
Through Perceptive Data, I specialise in small to medium sized data projects, developing visual analytics to aid your strategic thinking.
The article below outlines the difference between big data and small data projects, underlining the benefits of small data projects.
https://hbr.org/2019/10/most-analytics-projects-dont-require-much-data
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