Currently Viewing: Big Data

The broadcasting industry is going through big changes as OTT (‘over the top’) content continues to disrupt the sector’s traditional business models. OTT represents a big opportunity for content broadcasters, providers and distributors large and small. They can deliver streaming video-on-demand direct to viewers over the web, rather than via broadcast, cable or satellite TV. But to make an OTT model work effectively, media businesses are going to have to get far better at handling big data.

Across the world, intelligence and law enforcement agencies are lobbying governments to introduce ever more Draconian digital surveillance laws. In the UK, the controversial Investigatory Powers Act (commonly known as the Snoopers’ Charter) was recently passed into law, despite opposition from civil liberties groups, academics, journalists, the tech industry, communications providers and a (regrettably small) number of Parliamentarians.

Cataloguing, analyzing and storing new data at the speed of light is one of the biggest opportunities database companies are working on today. It’s also a significant threat to business in a number of ways.

In the US and Western Europe, about a quarter of all personal spending occurs around the Christmas holidays. In the eight-week period from mid-November to mid-January it all happens. Failure to carry the right products or miscalculate marketing and pricing, and a retailer could miss out on a huge slice of its potential annual sales with catastrophic results.

Does Big data become increasingly more valuable the bigger it gets? The debate rumbles on in the big data world.

As more organizations invest in big data technologies, so the ecosystem of tools and providers is expanding fast. While most of the coverage focuses on analytics, in fact, the range of technologies required for effective big data systems encompasses a plethora of infrastructural, operational and analytical technologies. Learn about the future informing technologies here.

IT security is changing and the threats to our data and organizations are becoming more dangerous and harder to stop. Like Donald Trump, many businesses seem to believe the answer to security is to build ever bigger walls – with heavily policed gates where everything going in and out is checked for ‘undesirables’. Find out all you need to know about data security here…

Although big data is feeding an expansion in the use and development of business intelligence systems (BI), BI as a business discipline is already very mature, having been around for more than a quarter of a century. Traditionally dominated by big industry players such as IBM and SAS, more recently the big data feast has helped to whet appetites about a host of open source, startup and cloud-based BI solutions. While the expansion in the choice of tools and components should be welcomed, it can be rather confusing for organizations trying to decide what they actually need.