Big data solutions are a field to process data from disparate sources, store the data, and perform analysis to get a meaningful and measurable action from the data. The benefits from big data processing provide a variety of insights, bring values to the organization.
- Understand your data.
- Determine intelligent actions.
- Valuable decision-making.
- Identification of New markets
- Optimization and monetization.
Every big data initiative should have a purpose and answer a business need or a question. It’s not just used to collect/aggregate the data from different sources without understanding the real business needs, making it hard to sell the big data platform’s values and benefits. More importantly, focus on building the end-to-end solution for the initial MVP.
Big data analytics life cycle is a proven concept that provides a step-by-step methodology to build the big data platform that addresses the business requirements; this helps validate and get feedback early to make sure the solutions provide tangible values.