Big Data is understandably a big rage within industry today, and organisations are rapidly developing strategies to acquire more data from across their varied channels of interactions with customers and clients. Organisations are driving their Big Data strategy towards acquiring larger pools of data, and increasingly focused on finding wider platforms for applications. What this means is that − to stay ahead of competition, organisations need to prepare and execute their Big Data strategies quicker and be able to translate it across varied data needs in the market.

Big Data has a large potential riding on it, however a key element in driving its success is also adequate planning. While organisations gather and deploy Big Data in understanding their customers' needs and developing better products, they also need to be aware of how to convert these data resources into distinctive opportunities. This means organisations would need to approach big data collection and analysis with astute planning and design. Further, it is important that they plan for the "data" well before it gets generated. This would involve using an intelligence-driven approach as against a volume-driven approach, which is focused on −

• finding possible ways in which data can be harnessed,
• closely understanding the data that is being generated and for what purpose it would be applied and,
• distinguishing the data from that available with competitors

Big Data presents immense potential for product innovations and customer engagement. And to ride this wave successfully, it is imperative that organisations adopt an intelligent and well-planned, execution approach.