Our Writing

SHARE TO:

Beyond Collaborative Filtering (Part 1)

Here at Rubikloud, a big focus of our data science team is empowering retailers in delivering personalized one-to-one communications with their customers. A big aspect of personalization is recommending products and services that are tailored to a customer's wants and needs. Naturally, recommendation systems are an active research area in machine learning with practical large scale deployments from companies such...

Read More

What’s happening to Canadian retail, eh?

Can you recall the last time you walked past a Jacob, Smart Set or Mexx retailer while shopping in Canada? Do you even remember the brands? October 2014, November 2014 and December 2014 respectively are the dates when each company announced that store closures were beginning to happen. Although Smartset is disappearing under the Reitman’s label, Mexx has vanished from...

Read More

E-Retailers Coming to a Street Near You

At the beginning of 2015, it seemed that store closure may be upon us, but by September there was hope for luxury brands in Canada. Now in 2016, purely digital companies are opening physical shops. Crazy, right? We’ve entered a time where in order to be successful, online retailers cannot solely exist online.  Well known e-commerce brands are now using...

Read More

First in, First Out (FIFO) at OneEleven

I’m sorry but the Chartered Accountant in me couldn’t resist the terrible accounting joke.  Rubikloud has decided to move out of our first office here at 111 Richmond (www.oneeleven.com) - Canada’s first community for data driven start-ups.  We were one of the first start-ups to join this community and have recently decided to move into our own space.  So what...

Read More

Halting Product Engineering for a Month: Our December Data Run

Let me begin by apologizing for my lack of posts the past few months. In my defense, things have been incredibly busy and Laura has done an excellent job of creating relevant and valuable content. December is going to be the Rubikloud “data run” month. Our entire team (including myself) will be halting new product development from an engineering perspective to...

Read More

Personalization 2.0 [Infographic]

Personalization is evolving. What used to be as simple as including a name in an email, or wishing the subscriber a "Happy Birthday", will no longer be enough to meet consumer demands. With Big Data technology, enterprises can create a seamless experience for users across all touch points. Innovative startups are using machine learning and retail expertise to create true...

Read More
SHARE TO:

Data Driven Marketing Decisions
Data-driven decisions in retail need to rely on more than legacy analytics.

Read the Report