Big Data refers to a massive volume of both structured and unstructured data. This data is so large that it is difficult to process using traditional database and software techniques.
So, Where Does This Big Data Come From?
This data comes from:
- Smartphone and Tablet signals
- Satellite Sensors
- Digital videos and images
- Social media updates
Big Data and Business – Why Is It Important?
Today, we are constantly connected, always online. We are in an age of social networking, pervasive mobile phone use, and present network-connected sensors. The fact that we are now in a place where available data is too big means that the emergence of Big Data technologies has become prevalent.
The gathering of Big Data is vitally important in regards to persona profiling within any business or organisation. This is because the collection of information from Big Data will allow businesses to define who their potential target customer is, therefore, making it easier for the business to identify an effective marketing plan for the promotion of their products and/or services.
Big Data can be a good starting point for you when you are trying to understand your customer type and segment your customer database (tweet this). There can be varying customer types in any type of business, so collecting data about the separate customer personas will allow you to utilize the right channels in order to target each customer type efficiently and effectively.
Are You Already Using Big Data?
You may already be using Big Data in your company and may not even realize it. Big Data can be broken down into three sectors:
- High Volume – Refers to Big Data sets that are so large that traditional analytics and information processing techniques can’t cope with their size, and new techniques are being implemented. This is where cloud computing comes into play. Cloud providers are stepping up to provide the scalable resources that businesses require to implement Big Data Analytics.
- High Velocity – Big Data sets are constantly being generated and collected and there is a time-sensitive element to the data analysis of Big Data.
- High Variety – Big Data sets contain up to 80% of unstructured data, and so need to be formatted before data mining and analysis.
Big Data is a large amount of information that is being generated very quickly, and incorporating a wide variety of content. Many applications for Big Data are in the things you’re already doing. So, if you implement keyword research, market your company via various social platforms, or follow trending topics and searches related to your industry, then you are already using Big Data.
In conclusion, by you understanding your customer’s/potential customer’s behavior, this will enable you to specify and pinpoint exactly who you should be aiming your product or service towards. By you gathering the correct data from the correct places, the process of identifying your potential target customer, and potentially, your bullseye customer, will be easier.
If you properly research the keywords or jargon that your potential audience are using, and then gather this Big Data, you will be able to consistently edit, perfect, and implement these keywords into your website and social platforms.