You may have collected huge amounts of raw data but it will only go to waste if you don’t enhance and refine it. Of course, you can use computer tools to do data enrichment tasks for you. But sometimes the tremendous amount of information makes traditional data-processing software insufficient. And in the case of micro-tasking, it is necessary to put in human perception and judgment. Here are some data enrichment tasks that are best outsourced.
Integrating multiple data sources are vital to produce more consistent, accurate, and useful information. With data fusion, you can have a more precise information than getting data from only one individual source. In fact, the global data fusion market is estimated to grow by USD 15.92 billion by 2022. This shows its Compound Annual Growth Rate (CAGR) is expected to take a 15.9% leap.
A lot of data can be misinterpreted and misunderstood if they are raw and unstructured. This leaves a lot of room for errors and miscalculations. Good thing that you can outsource individuals who can do electronic data processing to convert it into proper knowledge.
Data disambiguation is important especially of certain documents contain words with multiple meaning. There are also some cases (such as in healthcare) when the words written on the documents can be challenging both in meaning and spelling. There are also all language processes such as text-to-speech software which disambiguation can handy to produce accurate results.
Segmentation is the process of categorizing data into groups based on similar characteristics. This is especially useful when you want to implement email marketing and you want to categorize your target customers by age, gender or location.
Data segmentation allows you to communicate a relevant message to a target segment to increase the chance of customer engagement. For instance, you want to upsell products to your existing customers, then you can create a highly targeted email for this specific group of clients.