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VO blog | data engagement | P. 5

Using Analytics to Increase Broadcast Monetization

Thu, Apr 26, 2018 | by Carlos Ramos

Measuring the Importance of Big Data Analytics for Operators

Wed, Jan 24, 2018 | by Andy Stout

In the current broadcast industry, progress is not only rapid, it’s accelerating. Nowhere is this more evident than in the field of data analytics, the impact of which is growing every year.

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Netflix, Amazon, Apple, Hulu: Are we facing a content crunch?

Tue, Dec 5, 2017 | by Dror Mangel

As costs rise so the amount of original content on the market might decrease, meaning broadcasters and OTT operators will need to make sure their catalogues work at peak efficiency.

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TV Data and Analytics: The Importance of Getting it Right

Wed, Nov 29, 2017 | by Einat Kahana

Here is an interesting statistic: since research on spreadsheet errors began at some point in the mid-1980s an overview of the processes has concluded that 88% of all of them contain an error.

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Highlighting the Content Discovery Crisis

Wed, Oct 11, 2017 | by Dror Mangel

Viewers are watching more television than ever before but, according to new data, finding what they want to watch is becoming harder too.

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How AI is Evolving and Affecting TV Broadcasters

Fri, Oct 6, 2017 | by Andy Stout

One of the big meta themes from this year’s IBC was the rise of Artificial Intelligence and how AI TV and Machine Learning will impact every level of the industry.

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Big Data and TV: How it Can Work for Operators

Fri, Aug 4, 2017 | by Einav Levi

OTT technologies enable measurement of an individual’s digital footprints, collecting data from TVs, smartphones and other connected devices.

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Audience Measurement and Personalized Advertising: What to Consider

Mon, Jul 24, 2017 | by Esther Levine

The media industry was an early adopter of data, beginning in 1950 when Nielsen began measuring TV audiences.

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Three Key Areas Where TV Data Analytics Will Grow Your Business

Tue, May 23, 2017 | by Einav Levi

When it comes to driving competitive advantage for TV operators, analytics deliver in three key areas of the content cycle.

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