News

The Problems That Can Come With Using Big Data

data technology

A lot of businesses and organisations, especially in higher education, insurance, finance, and the legal sectors, are making more use of data than ever before.

Many organisations in these fields have turned to big data, which combines data from across a wide range of sources and data sets to offer the kind of insights that might be impossible with human intuition alone. However, to ensure you’re getting the best use out of your big data, it’s important to know the pitfalls that you might want to avoid.

Protect and organize your data

First of all, any business that relies primarily on data, whether it’s internal data alone or makes use of customer and client data, is going to be at a higher risk of a breach or data loss.

This can not only shut down operations while you get things back up and running but it could get you in legal trouble if you don’t give your data the kind of protection that you’re legally supposed to.

Backing up your business data safely and investing in data security provisions such as enlisting the help of cybersecurity experts is crucial.

Ensure your data is high quality

It’s easy to assume that the more data you have at your disposal, the better your chances of making good use of it. However, not all of the data that comes in is going to be viable and high-quality. In fact, the greater the volume, the importance of verifying the relevance and accuracy of your data.

As such, firms like Intelligent Delivery Solutions can play a critical role by providing data quality engineering to ensure that you’re not acting on insights derived from low-quality data.

Cleaning the data of impurities, ensuring that it’s being used with compliance to any regulations, and performing consistent data quality checks is essential to making sure that you’re actually getting correct insights informed by accurate and useful data.

Know what to do with it

There are analytic tools that help even a layman make good use of some of the data captured by various means.

However, aside from making sure that you have high-quality data to make use of, it’s also important to make sure that you’re working with trained data analysts who are actually able to better parse out and interpret the data to make it useful for you with the help of teams like Cogs Agency.

Aside from making sure you have the talent that you need, you should also have an aim for your data. Knowing what questions you want to answer or what processes you want to improve is crucial in helping them stick to the most accurate and relevant data to address your issues.

Big data can help your organisation develop the kind of insights that it must otherwise be missing, but it’s important to ensure that you’re using it appropriately. Have those that can read it effectively, ensure you’re gathering high-quality data, and know what questions you’re trying to answer in the first place.

PM Today Contributor
Related News
Related sized article featured image

By automating workflows, infrastructure, and code testing, DevOps aims to improve speed, efficiency, consistency, and reliability.

Denis Leclair
Related sized article featured image

As organisations investigate using innovation to help them improve, Claire Cakebread says managing these initiatives are best undertaken by project...

Claire Cakebread