Big data analytics is the process of examining large and varied data sets, i.e. big data — to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organisations make more informed business decisions.

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.

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 mail shots, 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. You could monitor KPI’s & targets for teams and be in total control of your whole online presence. Big data allows this complete view of your brands landscape.


Driven by specialised analytics systems and software, big data analytics can point the way to various business benefits. Including new revenue opportunities, more effective marketing, better customer service, improved operational efficiency and competitive advantages over rivals.
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.


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.

Keyword Performance Tracking
Geo Segmentation Tracking
Demographic Segmentation
Detailed Attribution Modelling
Detailed Visitor Profile Building
EyeQuant | Heatmap
VoIP Call Recording

R88 Media