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.

Who Owns the Data?

When a precious new resource is discovered, groups of people will try to stake their claim or debate over who the rightful owner...

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.

6 Tips for A New Chief Data Officer

Most CDOs today are the very first to be filling that role at their company. And because they have no shoes to fill...

The title of Chief Data Officer has only emerged in the past few years and most CDOs today are the very first to be filling that role at their company. And because they have no shoes to fill, they tend to walk in barefoot. That is, they come in without any overarching strategy for how the company’s data should be stored, shared and exploited.

Data That Stays Together, Works Together

Your company is sitting on a gold mine of customer data, just waiting to be integrated and activated.

When it comes to data analytics, marketers are missing the forest for the trees. If you think your company’s most marketable data source lies in your enterprise data, think again. Your company is sitting on a gold mine of customer data, siloed in different departments, just waiting to be integrated and activated.

Are Homemade Customer Analytics Applications Better?

Your team may be perfectly capable of building an infrastructure and enterprise application. But what happens when…

Your team may be perfectly capable of building an infrastructure and enterprise application. But what happens when you have to build for a more specialized function, such as predictive behavioral analytics? More often than not, the necessary skill sets for building these kinds of applications fall outside the scope of your team.