The billions of things that fall under the domain of IoT produce massive volumes of data, and this is where the greatest potential lies. Tapping into those data streams will allow businesses to improve manageability and ease of use for consumers, and enable quantum leaps in the level and quality of products and services.
However, big data alone means nothing. More important is relevant data. Early on, big data trends focused on accumulating as many data points as possible, without a specific purpose, and employing analytics tools to spot trends. There is a certain amount of value in this method, but the better approach – one that yields more useful results and new applications – is to begin the big data process with a goal in mind, focusing on accumulating the right type of data, and using it to find solutions to specific problems.