In a world of BIG DATA, it’s tiny data what truly matters.
It was back in the past century where Leonardo da Vinci said:
“Principles for the Development of a Complete Mind: Study the science of art. Study the art of science. Develop your senses- especially learn how to see. Realize that everything connects to everything else.” ― Leonardo da Vinci
And with realizing that everything connects is that we start our small data journey. We are living in a world were data consumption on the cloud it’s been facilitated in such ways that ingesting data, in massive amounts is no longer a dilemma, and getting insights of the data is no longer the ultimate pursuit. But the real problem today is that simply Big Data is just too broad too large to navigate. When companies have endless streams of data coming together, the big question is?
How to break it down
How to cleanse the data
How to take actions over the data
Big Data relies on 5’v Velocity, Veracity, Variety, Value, Volume. However, none of the V’s address the small items that can dictate a valuable decision, just because you have tons of data available does not mean that you need to use every piece of data available. Small data focuses on enterprises value and intent. To derive insights on motivations and triggers that can optimize the enterprise.
Small data can is used from understanding your department behaviour and motivations to figuring out what drives the consumer to take actions. The more the data is analyzed this way, the easier it is cleansed to provide a proper picture of the persona. If there’s value behind the company’s data, it resides on small data. The 5 V’s become essential for lying more on data collection, data interpretation, data crossing and sequentially organize the data in a way that it can tell a story just by looking at it.
Small data can do many things for an enterprise. Start with items such as answering core strategic questions about the enterprise that will become drivers of more advance analytics and by inference a need for a Big Data system. Data management is another item if an enterprise has its hands around data management is because they have mastered small data.
And lastly if using a Big Data approach to handle small data, it can introduce complexity to an environment where it is not required.
In conclusion, Small Data often provides clarity and intuition about your business that sophisticated analytical magic can’t necessarily offer. Big data and predictive analytics often help you do those things that you are already doing faster, more efficiently, or in a more targeted way. Small data can usually tell you whether you are doing the right things in the first place. The kinds of questions Small Data answers go to the heart of strategic clarity and excellence in execution.
@Digitalgeek1BM 