Start small with Big Data:
When Big Data is concerned, we need to think ‘small’. Big Data means big business, but mistakes can be made despite its hype. In simple words, Big Data can bring big problems. The importance of Big Data lies in its ability to provide services which will help businesses achieve their goals.
The simplest explanation of Small Data is that it represents answers or warnings collected from Big Data that are significant to the majority of users. It contains packaging insights and that is the reason why they are comprehensible, accessible and actionable for daily tasks. This approach gets ideas from user apps and the fact that the secret of best digital experiences is in simplicity, responsiveness and sociability.
Practically, content we have already captured is relevant and we need to pay attention to it. We need to figure out whether we can apply that content to support different business scenarios and deliver insights in a shareable format on every important channel. Small Data is achieving progress and in order to understand why, the following points will be helpful.
Big Data can be complicated and it can take some time to do it right. But what if the business has no time to wait? Moreover, marketers can run their campaigns without the masses of Big Data. What they need is differentiating insight which will enable them to personalize offers to customers.
Small Data, on the other hand, is popular. It can balance the ways applications are created. This is not the prevailing trend at the moment, but it is becoming more popular in the IT world.
We can find Small Data anywhere we look. Since more and more devices get wired up, more users make purchases and share using social networks, making personalized data feeds attainable. In order to understand customers completely, we need to join transactional data and Web analytics with insights from these social channels. These sets of data are the core of customer experience, which is based on both Big Data and Small Data (important for personalized marketing).
Everybody is talking about Small Data. Great software vendors such as SAP, IBM and Adobe support the importance of the movement in blogs and industry forums. In addition, when it comes to Small Data, the user is in focus. But Big Data is the domain of techies. However, if we want to drive adoption, we need something that will attract non-techies, a platform that will allow easy-to-use, scalable and smart experiences.
If we ‘think small’ and put the customer in focus, we can be able to deliver interactive and useful data-driven apps our businesses hunger for today.