That’s where data analytics tools come in. It’s hard to imagine a way to collate all this information manually so that it can be analysed as a whole. Structured data being numeric data in traditional databases, unstructured being text documents, emails, videos, audio, and so on.
The data being gathered via these sources is both structured and unstructured.
Much of this data is being generated in real time, making it very difficult to keep on top of manually. According to IBM, sources of data are becoming more complex than those for traditional data because they are being driven by artificial intelligence (AI), mobile devices, social media and the Internet of Things (IoT). Not only is the amount of data increasing, but so is the complexity. The high volumes of data also makes storing it to analyse using traditional methods almost impossible. But, with the volume of data that’s out there at the moment it would be almost impossible to analyse using traditional, manual methods. They could be standalone platforms that both gather and analyse data or they could be integrations that, when combined with other software, help to add another layer of analysis to extract very specific insights, such as website user behaviour.ĭata analysis is essential in helping businesses to make more scientific and strategic decisions, and operate more effectively. Data analytics tools are the different types of technologies to help make this easier. What are data analytics tools?Īccording to Wikipedia, the definition of data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Discover how Talkwalker Analytics can help extract insight for your business
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