THE DATA-DRIVEN IMPERATIVE
Inevitable forces continue to drive a data-driven agenda.
Audiences are changing, society is changing, technology is changing and the business landscape is changing.
Technological developments and multi data point integration will help Isentia clients find the signal amongst the noise of their media coverage, predict patterns and create strategies to maximise opportunities or minimise risk.
Data is driving the agendas of most organisations and by 2025 global data volumes will grow to 163ZB (that is a trillion gigabytes).
Data is all around us but at the moment, less than 0.5% of the data generated is categorised and analysed. Every second of every day we create new data. We perform 40,000 search queries every second on Google alone, for example, which makes 3.5 million searches per day or 1.2 trillion every year
We are seeing and experiencing, and creating, huge volumes of analysable data every day and wider environmental forces will continue to change the data we create:
Some of this data is relevant to organisations, most isn’t, but finding the signal in the noise is the key to great data gathering and media analysis.
To cut through the noise and run computations that have never before been possible, we have introduced Stories, our first product to run media analytics through a machine learning led approach.
Stories analyses and clusters media coverage into stories in real time, 24 hours a day.
As a client, you’ll be able to track the volume and reach of stories as they develop, drilling down to individual media items where necessary, whether they are in traditional, digital or social media channels. In effect, one look at Stories, on any device, will let you identify the key issues of the day and the key influencers driving them.
Stories is powered by a complex algorithm capable of calculating the connection between tens of millions of data points at speeds beyond human capacity, and it’s this machine led approach which enables real-time clustering.
This is just the beginning. The engine behind Stories is designed to evolve and is the result of significant technological advancements at Isentia. Using machine learning and data science, this new technology empowers Isentia clients to find the signal amongst the noise of their media coverage, predict patterns and create strategies to maximise opportunities or minimise risks.