5 Expert Tips in Building a Robust Data Infrastructure

Technology has gone a long way toward connecting the world through innovations such as smartphones, smart homes, smart cars, and so much more—and at its core is the Internet of Things (IoT) which connects devices to transmit data via the Internet over a centralised platform for improved efficiency and performance.

As we become more connected, there will arise the need to manage and analyse the staggering amount of data generated by these devices. This data is crucial for businesses as it contains valuable insights that allow them to identify risks, find new opportunities, and improve the overall performance of the organisation.

But, how do you build a data infrastructure satta that promotes data sharing and consumption? In this article, let us count the ways.

What is Data Infrastructure?

Data infrastructure represents all the tools and components you can use to store, manage, analyse, and backup your data. It can be made up of anything from hardware, software, cloud or managed services, servers, etc.

How to Build a Strong Data Infrastructure?

Organize your data and Structure

To get the most out of your data, building data infrastructure should be your top priority. This should avoid errors in data collection and processing, which can skew the results. It also guarantees that you’re making decisions based on the most accurate, real-time information available.

This way, the process will also become easier, particularly for people who rely on them to make informed decisions. It illustrates the necessity to allocate time to clean your data regularly to eliminate errors (e.g. duplicate or incomplete data). Otherwise, they can potentially render your data unusable and that results in wasted resources.

Set your Goals

When building a sound data infrastructure, you’ll also want to identify your objectives for the data. Is it to discover new marketing opportunities or scrap strategies that are not working? Is it to improve your customer experience?

Regardless of what your goals are, see whether you have set the right metrics to help you achieve them. Set benchmarks to measure the success of the methods used and from there, make necessary changes and implement new ideas.

Priorities your Projects

Prioritizing your projects and communicating them to your team help align your efforts and strategies, and keep them from taking unnecessary turns. It should also increase the success rate of your projects by focusing your efforts around strategic goals.

If you’re not sure where to start, one option is to create a hierarchy based on the goals you want to achieve. For example, if your ultimate goal is increased sales, then your next goal might just be increased exposure and client retention.

Promote Collaboration & Cultivate a Culture of Learning

Building a feasible infrastructure should be a team effort. You should come together to filter valuable data that needs to be in your infrastructure to help you make informed decisions.

Being a developing field, data infrastructure also requires constant training and learning to keep up with the latest updates. Cultivating a culture of learning at work will ensure that everyone involved has general knowledge and understands the reason behind the data collection.

Hire a Data Infrastructure Engineer

In the past, you would need to perform complex formulas on your data to generate a report. But, when you outsource this process to a team of engineers, you get access to their expertise in solving complex technology problems, automating your processes, and creating a data infrastructure where you can get reliable data insights you can act on.

If you have any more expert tips to add to the list, let us know by leaving a comment below.