On a broad scale, data analytics technologies like Google Analytics Premium provide a means of analysing data sets and drawing conclusions about them to help organisations make informed business decisions. It allows queries to be answered with real evidence. Big data analytics is a form of advanced analytics, which involves complex applications with elements such as predictive models, statistical algorithms and what-if analysis powered by high-performance analytics systems.
If you really explore your customer data, such as app installations, server logs, time on pages, areas of site interacted with and keywords that brought the specific visitors into your brand. You can understand exactly what your customers look like, and what you do with that information will either make your business a success or not.
Big Data Applications
Big data analytics applications enable data analysers, predictive modellers, statisticians and other analytics professionals to analyse growing volumes of structured transaction data, plus other forms of data that are often left untapped by conventional business intelligence and analytics programmes. That encompasses a mix of semi-structured and unstructured data, for example, internet data, web server logs, social media content, text from customer emails and survey responses, mobile-phone call detail records and machine data captured by sensors connected to the internet of things.
Successful brands all spend huge sums of time and investment into understanding the journey their customers go on to either understand the brand or shop. Having the right understanding of your customers means marketing them becomes easy. Targeted mailshots, Google Adwords, Google Display and Website Design all become more cost-effective and will return massive results. Providing you ‘know your customer’ imagine being able to know exactly what you need to spend to get your ideal lead, where to put the ad and what it should say.