The Quickest & Easiest Way to Extract Data from Adobe Analytics

Adobe Analytics is a powerful tool to help your organization understand customer behavior on your website and other digital channels. But anyone who has worked within the platform knows how complex it can be.

Adobe Analytics is a powerful tool to help your organization understand customer behavior on your website and other digital channels. But anyone who has worked within the platform knows how complex it can be.

Multi-Channel Attribution: Not All Touchpoints Are Treated Equally

In today’s hyper-connected world, the question of attribution becomes a far more complex one for marketing teams.

In today’s hyper-connected world, the question of attribution becomes a far more complex one for marketing teams.

Towards a Next-Gen Data Lake Architecture

In order to generate ROI from our data lake investments, we need to successfully productionise multiple AI-powered programs within our data lake. That is, programs which produce a continuous stream of actionable insights based on the digital, enterprise, and third-party data being stored inside data lakes.

In order to generate ROI from our data lake investments, we need to successfully productionise multiple AI-powered programs within our data lake. That is, programs which produce a continuous stream of actionable insights based on the digital, enterprise, and third-party data being stored inside data lakes.

How to Define KPIs for Your Strategic Digital Analytics Goals

In order to manage and succeed in your digital analytics program, it's important to identify a handful of KPIs that reflect...

In order to manage and succeed in your digital analytics program, it's important to identify a handful of KPIs that reflect...

Data Therapy Session #2: “What makes you think you’re better?”

This use case is so underdelivered, it’s almost criminal. That’s why it’s time to get cracking with the ‘brilliant basics’...

It’s tough to find that one use case that serves as the catalyst for change, and which avoids the trap of overloading your teams with cool, shiny new capabilities. And that’s why it’s time to get cracking with the ‘brilliant basics’. The call centre is one of them.

Data Therapy Session #1: I’m Fine, Leave Me Alone

The problem with algorithms is they can be quite narrow minded. GANs, on the other hand, recognise the flaws of machines...

With the exciting emergence of GAN (Generative Adversarial Networks) and a real definition of AI and deep-learning (rooted in speeding up delivery of your business use cases), I'm seeing CTOs and CMOs co-deciding to build it now, recognising that the right tech currently exists to build at scale without masses of technical debt.

What’s Your Customer’s Next Move?

Every time a customer visits your site or opens your app, they are leaving breadcrumbs and feeding...

Every time a customer visits your site or opens your app, they are leaving breadcrumbs and feeding your clickstream data. Furthermore, it's AI Assisted Customer Analytics which utilizes machine learning to discover the information you need about your customers so that you can make smarter decisions for your business.

It’s the Thought That Counts

Your customers are craving personalisation and ML does just that, responding instantly in the moments which matter the most.

Your customers are craving personalisation and machine learning does just that, allowing you to respond instantly in the moments which matter the most. Amazon, eBay, Wal-Mart, you name it, are all utilising ML. And if you’re not (that is, if you’re looking at customer data as a static thing), you will quickly lose out.

Eric Siegel on the State of Predictive Analytics

When you think of someone in predictive analytics, which person comes to mind? For me, it most definitely is Eric Siegel.

When you think of someone in predictive analytics, which person comes to mind? For me, it most definitely is Eric Siegel. Here's what he had to share about the state of predictive analytics today. 

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