Data Rich, Skills Poor – Analytics in Business

Visualisation and Analytics Data Analytics and Visualisation

It’s been at least six months since my last blog post, while it might seem like a long time, it’s always amazing to look back and reflect on what I have accomplished during this time. I don’t really want this blog post to sound like my end of year “speech”, however this past year has been amazing, action packed, fun-filled and downright breath-taking. As the curtain call on the year I wanted to take some time to pen my thoughts and reflect on my achievements over the past year.  I don’t really want to dump everything in to this one post, so the plan is to undertake a series of blog posts. In the first instance I want to talk about a subject very close to my heart, “analytics”. The biggest achievement this year was the successful validation of the first BSc Business Data Analytics course at Huddersfield Business School. It was a rigorous process but the course was passed with zero conditions and five commendations!

So what does it mean when someone talks about analytics? Many take the view that this is a very computational subject and requires a high level of computing skills and are put off by the thought of doing something in this area. However, as with all 21st century jobs a certain level of computing skills will be required to undertake this job well, and you will need to be familiar with software to make maximum use of the data that is available.

To me, and the way that I have designed this course is to encourage participation and to really support industry growth and expansion, this course is aimed at preparing students for the changing word of business by providing them with the requisite knowledge, skills and experience to create, analyse and manage data driven initiatives. In a nutshell  “Decisions should be driven by evidence (data)”. In my many years as an academic I have often seen the challenges organisations face when decisions are made on the “cuff”. In today’s modern business environment companies large and small are reliant on data to help inform strategy, make decisions and identify problems, challenges and opportunities. This is true for both online and offline companies, and the notion that organisations are ‘data rich, but skills poor’ holds true.

In my discussions with organisations while developing this course it was clear that the individuals who run these companies, executives, managers, CEOs and chairman argue that they need people who can understand, query and analyse data to make informed business-related decisions. This course helps you to do just that, sitting at the intersection between data analytical skills and business decision-making. So no need to worry about robots taking over your job!!

Thus, here are Huddersfield Business School we have identified a huge demand for students with the skills to analyse, understand and communicate decision-making and data to clients and management. It is clear that a degree in business data analytics would impart students with important transferable skills, such as data analysis, visualisation, data management, critical-thinking and problem-solving. These skills alongside data understanding will open up opportunities across industries as data managers, data consultants, business analysts, consumer and market knowledge managers, chief data officers, big data architects and business and marketing analysts. This is a new and rapidly expanding area of business and for many organisations data will sit at the heart of what they do.

In closing, this is one of my biggest achievements this year. If you would like to know more or are interested in collaboration/research please do not hesitate to get in touch:

Abdul’s profile:

Course page: BSc Business Data Analytics

Many thanks to 1stMobility for their insight in helping develop this course. Their work with data has really shaped our view on how data can be used for making decisions.


Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s