More Data Isn’t Always Better

The hype around so-called ‘big data’ seems to have convinced many that unless the data and analytics are ‘big,’ they won’t have a big impact.

In reality, though, your organization can generate tons of value from the prudent use of smallish data.

Furthermore, you just don’t need big data tools such as Hadoop to solve every data analytics challenge you’ll face. In many cases, humble Microsoft Excel is all you’ll want.

Often the missing gap isn’t in big data technologies but in data science skills. The rapid rise in your ability to collect data needs to be seconded by your ability to support, manage, filter, and interpret the data.

Idea for Impact: With data, more isn’t necessarily better. Small data can still have a significant impact. Rather than collecting data for the sake of it, identify why you need data and then go get the most meaningful data that can answer the questions you have.

Focus not on whether the data is small or big but on the problem you’re trying to solve.