When you look for business data, you often find terms like big and smart data. But what is now the difference between these two? Continue reading to find out more.
Big and smart data explained.
Big data gets quickly complex because of:
- Volume
- Variety
- Velocity
- Veracity
Smart data is big data that has been reworked, so it is easier to handle and quickly gets it into the hands of key users. Data that contains a value for the business gives faster insights and leads to data-driven decision-making.
How to get from big to smart data?
To get too smart data, you need to have a good understanding of your business needs and define a data strategy. To write out a good data strategy, you should sit together with your leadership and stakeholders and ask yourselves these five main questions:
Question 1: What are your business objectives today and coming years?
Question 2: What data do you need to achieve these objectives?
Question 3: How do you want to use your data to achieve these objectives, and by whom?
Question 4: Will the data and workflow truly empower your teams to accomplish the given objectives?
Question 5: Are these data and workflow already available within your company, and which new resources will be needed?
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