20% of businesses think GDPR non-compliance could shut them down

86% of businesses worldwide report the potential negative consequences of non-compliance with the upcoming EU General Data Protection Regulation (GDRP) as a major concern, according to Veritas Technologies.  

The Veritas 2017 GDPR Report surveyed 900 business decision makers and found that 20% think that non-compliance could end up putting them out of business.

The risks of non-compliance with the new set of regulations, due for introduction in 25 May...

By Colm Hebblethwaite, 27 April 2017, 0 comments. Categories: Customer Experience, Data Science.

WEATHERfx puts weather data into marketing decision making

The Weather Company has announced an innovative collaboration with LiveRamp to allow marketers to integrate real-time weather data into their omnichannel campaigns.

For those marketers who are concerned with engaging people with relevant and timely experiences, the effect that weather has on consumer behaviour is often over-looked.

“Weather conditions impact a vast number of consumer decisions,” said Luke McGuiness, LiveRamp’s head of data partnerships.

“The Weather Company has one of...

By Colm Hebblethwaite, 24 April 2017, 0 comments. Categories: Data-driven marketing, Data Science.

5 easy ways to get more out of your B2B marketing data

Data drives decision-making in several industries. It provides cover, establishes trends, and points toward outlooks. So why, according to a PricewaterhouseCoopers study, do 62% of executives rely on their experiences instead of empirical evidence?

The answer may reside in the data itself. Executives either don’t have the information they need, or it isn’t in a useful format.

There’s also the potential for too much data,...

By Jonathan Gray, 19 April 2017, 0 comments. Categories: Advertising Technology, Big Data, Data-driven marketing, Data Science.

24% of UK businesses have stopped preparations for EU Data Protection Regulations

Around a quarter of firms have cancelled their preparations for the incoming regulation because they believe it will not apply after Brexit.

The EU General Data Protection Regulation (EU GDPR) is a group of rules designed to coordinate data protection laws across Europe.

The EU GDPR has been years in the making but has now been ratified by the UK. It is due to take effect in May 2018.

This is likely before the Brexit process is complete. The process, beginning with the triggering of Article 50 this week, will...

By Colm Hebblethwaite, 30 March 2017, 0 comments. Categories: Data-driven marketing, Data Science, E-Commerce.

Why you need to pair hyperlocalisation with data for success

Hyperlocalisation – theoretically taking personalised marketing one step further – is more than a trend: it’s the culmination of technological advances combined with innovative marketing tactics, and it has created new opportunities for brands to communicate value to customers. Couple this with the power of data, and you open up a whole host of possibilities for reaching specific sets of customers.

Here are just a few reasons the marriage of hyperlocalisation and data is a match made in...

The new data struggle, or, Why you’re still wasting your marketing budget

The buzzwords never end. A proliferation of tools, platforms, and services now pitch their “social listening” abilities, databases of “influencers,” or "intelligence," promising companies new ways to augment their marketing efforts and easily tap into new audiences. Platforms dazzle with slick dashboards and videos, startups burst at the seams with smiling salespeople, and testimonials describe recent influencer-attended product launches.

What brand executives or marketing...

By Avery Booker, 03 March 2017, 1 comment. Categories: Customer Experience, Data-driven marketing, Data Science.

Is data killing off the art of the marketing prediction?

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Opinion At the start of the year, I was approached by several publications and ask to write articles sharing my predictions for the year ahead. I am sure you are familiar with the format; you will see the "top 5 x of y for 2017" appearing online well into mid-March. While it can be fun to make guesses at what might happen, I believe it is becoming a pointless exercise. The pace of change in modern society is increasing, being driven by ever faster technology innovation. If...

By Mike Bainbridge, 16 February 2017, 0 comments. Categories: Data-driven marketing, Data Science.

Salesforce launches extra-strong AI-flavoured Service Cloud Einstein

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Salesforce has announced the unveiling of Service Cloud Einstein, a new customer service platform which includes a beefed-up AI engine and aims to add intelligence ‘to every service interaction’.

The platform, which is a mix of the firm's current Einstein AI tool and Service Cloud, will be fully connected to CRM data across sales, commerce, and marketing departments, and offers a variety of features. Einstein Supervisor is a mix of...

By James Bourne, 13 February 2017, 0 comments. Categories: Customer Experience, Data-driven marketing, Data Science.

DataSift partners with LinkedIn to take marketer insights to the next level through AI

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Data marketing firm DataSift has announced it is to join forces with LinkedIn to provide greater insights into the Microsoft-owned B2B network for marketers.

The company, which describes itself as a ‘human data intelligence’ provider, is unveiling PYLON for LinkedIn Engagement Insights, which gives users various methods of increasing their engagement, from discovering new audiences for brands and products, to benchmarking, and learning which content works best with...

By James Bourne, 23 January 2017, 0 comments. Categories: Data-driven marketing, Data Science, Social Media Marketing, Web Analytics.

Entering a new age of customer experience: Data, programmatic, and more

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While machine learning itself is nothing new, the speed at which data can now be processed, analysed and actioned has completely changed the machine-learning game. Readily affordable computing power, the quantity of data available, and algorithms we never thought we could use are now possible.

While the fundamental concept remains the same, machine-learning is now far more sophisticated, efficient and easily deployable – and the potential it offers to revolutionise customer...