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…
The Rise of Customer 1080
Just having a digital 360 profile of a customer will not suffice for the hyper-personalisation that is required in todayʼs competitive landscape.
Definitive Guide to Implementing Artificial Intelligence in Digital 4.0
Implementing AI involves iteratively finding the AI techniques that are best suited for a use case and available datasets, and then finding a way to…
Top 3 Graveyards for Machine Learning Programs
Itʼs when ML projects go to the second phase of its existence, where we see the majority of ML programs fizzle out of steam.
Customer ID Graphs: The Cornerstone of Customer Intelligence & Personalisation
Customer identity is the highest priority on any list of prerequisites for delivering a data-driven customer experience.
Data Therapy Session #2: “What makes you think you’re better?”
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.
Syntasa Named a Gartner Cool Vendor in Personalization
Gartner has praised Syntasa’s capabilities to combine clickstream data with enterprise data to deliver a more holistic view of customer behavior.
Data Therapy Session #1: I’m Fine, Leave Me Alone
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 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.
Who Owns the Data?
It’s a tale as old as mankind. When a precious new resource is discovered, groups of people will try to stake their claim or debate over who the rightful owner should be. Data ownership is no different. Every day companies handling large amounts of data are grappling with this.