How to boost confidence in your Data Science investments

How to boost confidence in your Data Science investments

In ‘How successful are your Data Science projects?‘ we acknowledged that the growing discipline of Data Science is benefiting from the recognition and associated investment being made by businesses. However, the failure rate of Data Science projects is alarmingly high, and we have to be careful this discipline is not overlooked as another hype cycle. We […]

How complete are existing Data Science methodologies?

How to boost confidence in your Data Science investments

In ‘How successful are your Data Science projects?’ we asked the question of all stakeholders, be they the sponsors who are investing, the leaders who have to justify the investment or the passionate data scientists, whether they were happy with the results of their effort in Data Science.  For those wanting to improve this answer, we recommended […]

How successful are your Data Science projects?

How to boost confidence in your Data Science investments

Data Science is a rapidly growing discipline as more and more businesses recognise and invest in the role that it plays in digital opportunities and seek to take advantage of the associated benefits. On the one hand the size of this investment is encouraging – on the other hand the failure rate for Data Science […]

Why recommendation engines aren’t just for Netflix

Why recommendation engines aren’t just for Netflix

Netflix now has over 139 million subscribers worldwide, so the chances are you’re familiar with its recommendation engine—a combination of relevant content and the odd curveball thrown in to pique your curiosity. But have you thought about the difference a recommendation engine could make to your business? The team at Ballance Agri-Nutrients did and together […]

Delivering insights differently

Delivering insights differently

It’s been another year and another fascinating experience with the Postgrad IT Masters students at Monash University. In amongst some pretty well-established companies (with the likes of ANZ, Coles, Motorola, and Telstra also participating), this little start-up spent eleven weeks assisting the students to build a live solution to a real-world problem, with their shiny […]

Using data and analytics to evaluate business risk

Using data and analytics to evaluate business risk

The great thing about innovation is coming up with an original idea. The great thing about building a business around an original idea is the head start it gives you in defining a unique selling proposition in the market. On the flip side, really testing your business model where no existing precedent has been set […]

Mentoring at Monash University

Mentoring at Monash University

One of our core values is to give back to our industry, so that we can nurture the new wave of talent coming through and expose ourselves to new ways of thinking.  Over the years we have been invited as Industry Mentors for the Industry Experience Studio Project at Monash University, which is the final capstone project […]

Migrating to S/4?

Migrating to S/4?

Many companies are now on the verge of implementing or migrating to S/4 HANA, and with SAP advertising the significant benefits of using their in-built analytics capability, one of the most pressing questions is ‘what should I do with my existing analytics investments? Can you just throw them out – or are they still of […]

Doing Data Science with SAP Predictive Analytics – Part One

Doing Data Science with SAP Predictive Analytics – Part Two

Following on from our brief overview in the last post, we will focus this post on the data exploration and transformation stages of the data science process.  We are deliberately constraining the scope of this article to data exploration and transformation in Automated Analytics, to keep the discussion concise and comprehensible. Rather than simply presenting a tool […]

Doing Data Science with SAP Predictive Analytics – Part Two

Doing Data Science with SAP Predictive Analytics – Part Two

Keeping up with the ever-evolving machine learning landscape can be difficult. It seems that every month new modelling software is released, or a tech company open sources a machine learning algorithm. In the context of the SAP technology stack, we want to understand the landscape of the machine learning models provided by SAP Business Objects […]