Before looking at Big Data to get insights, enterprise should take a step back and identify the business problem that needs solving. Once the enterprise has identified its business challenge, it can dive into the data, and the solutions needed to handle the business challenge.
- What data are considered as critical for business growth? Is data outside the business critical, or Do we need to analyse and mine internal information?
- Does the enterprise able to visualize business value from the big data? How Big Data fuel the core capabilities that drive your value in the market?
- Is the the flows of data across systems and processes already prepared to get required insights starting now? How much time and what change is needed in existing systems to implement data strategy ? Which business sections will benefit most from new insights into customer behaviours or operational processes?
- How to implement the data strategy identified as an ongoing function of the company that must be governed?
While technology has important role in implementation of Big Data strategy in enterprise, influencing people behaviour and understanding existing processes is required.
- Leaders need to identify and decide what outcome matters most and make a commitment to the desired outcome. Big Data approach’s role is to help to get to the desired outcome. Effectively the enterprise needs to start with exploration approach to see what the data reveals, rather than a what the data can provide, query
- Most of the existing data stored in the enterprise. can be meaningless and might have no impact or no correlation with the business outcome. In addition, business teams might know the outcome they wanted to create and be prepared that they might not know which data is needed.
- Ask “What value matters most to reach the required outcome, and How combination of data and algorithms get us there?” instead of how do we get more value from more data? Managing Big Data approach is like managing top talent.
- Each division rigorously guards its information from the other divisions. With all this information kept in isolation, the organizations miss the obvious. Hence the critical first step is to make information discoverable. If a new document (information) arrives and a library-like index card is not provided for the librarian to place into the central index–then how is anyone going to efficiently find this information later?
- To develop the ability to find data when you need, technology is not the barrier and the barrier comes from the information sharing policy, which comes from people. There is need for human intervention and Big Data cannot create magic without people buy-in.
If you are a DBA, focus to acquire data from different sources and organise the data leading to the way for intelligent analysis for better decision making is what defines the entire life-cycle of big data.