Ready to start your journey to becoming a data driven organisation?
All organisations want to innovate and improve how they operate. However, finding the time, skills or experience to efficiently explore the opportunities can be a challenge. To overcome this ongoing balancing act, a specialist provider - who offers an experienced, well qualified team - can help uncover the best approach for organisation to become data driven.
Finding the right partner, with experts who specialise in helping organisations become data driven, is critical to this journey. They'll help you better understand your data, data collection processes, and how to manipulate that data to extract valuable insights. They can also ensure the technology you're using to extract, visualise and use these insights is appropriate for your business. This in turn creates better outcomes, and ensures that your journey to becoming a data driven organisation is an exciting and profitable one.
Why not just hire a team of data specialists?
Unless you’re a large organisation the chances that you already have a team of data experts in-house are slim. In New Zealand the median salary for a data scientist is around $100k, and data engineers can earn even more. On top of this, it’s a highly competitive field with more roles than there are qualified people.
If you only need these skills on a project by project basis, rather than for long term,ongoing programmes, you might be better off partnering with specialist organisations. They will have the expertise and resource you need and to help you on your journey to becoming more data driven.
Need more convincing?
Gain access to a wide variety of skills and experiences
When you partner with a data analytics company, you won’t just get a single data scientist or data engineer to help with your project. Instead, your project will be supported by people with a wide base of skills, including data storytellers, data analysts and technology experts.
All these experts will already have worked on a variety of projects, giving them exposure to innumerable sets of data that they have turned into useable, actionable insights, and experience across a wide range of industries and their unique requirements.
Expert advice and recommendations
These same experts are there to offer advice and recommendations on how to make the most of your data – or even how to get more.
Clients often come to us with a vague idea of what they want to achieve, or the questions they want to ask of their data. Working with an expert will help you dive deeper, refine the questions and get increased value from your data.
For example, Lightbox approached Qrious to help them understand customer churn. But in their industry, churn is hard to identify. After talking to the team and looking at the data we established what they were really after: to know what good viewing behaviour looked like, and how they could use that information to influence this behaviour.
Save time and money
Expert advice and recommendations aren’t limited to just your data. The systems and applications used to store it, structure it, and present it in a way that can be used can also be provided by data experts.
Most analytics organisations will have preferred applications or software systems that they know inside out – because they do the job and they do it well. It’s one less thing that you’ll need to worry about getting across, and means faster delivery of the solution.
They’ll get the project up and running quickly as they need less time to research, discover and weigh up which software solution is best. They’ll suggest which solution will best fit your needs and will understand how to use it (and know all the little tricks to get the most out of the platform). This would take months if you were starting from scratch.
All of this saved time will save you money in the lead-up to getting your data project off the ground. And faster time to delivery means you can reap the benefits of the data insights sooner.
So – how do I choose my experts?
Choosing your data partner is like any other major purchasing decision your organisation makes. You need to evaluate each potential candidate based upon a set of criteria decided upon by your organisation.
This could include considerations around cost, location, previous projects that they’ve worked on, system expertise or their current software partners. For example, if you’ve already invested in a data warehouse or analytics software, make sure that your data partner is familiar with it, or that the systems they use will integrate with the one you have.
Most of all, ensure that the partner you choose will deliver the best solution for your organisation. They should focus on delivering business value while helping you on your journey to become data driven, and become part of your team - even if it’s only for a short time.
Whether you take the path of partnering with experts, or decide to go DIY, understanding the cloud and the cloud solutions available is an important part of this journey. Step 6 discusses how to choose the best cloud solution for your organisation.
Missed the last step? Click here for Step 4: How to tell what's what in the world of AI.