9 Ways to Make Your Business Data More Reliable

Your business data is the lifeblood that runs through your organization. It powers automated workflows, gives customer service reps the full story every time the phone rings, and informs decision-making.

Even small businesses can benefit from the rise of big data by optimizing their organization’s data and creating processes to put it to work. According to Experian, eight in ten businesses believe data is one of their most valuable assets.

When your business data is reliable and accurate, it’s smooth sailing. But when errors, duplicates, and question marks surface… it’s not so pretty. When you can’t trust your business data, problems quickly arise and multiply in every area of your organization.

Businesses lose as much as 20% of revenue due to poor data quality, shares Kissmetrics. Back in 2013, HBR also talked about the ripple effect of unreliable data as part of “Data’s Credibility Problem”:

“When data are unreliable, managers quickly lose faith in them and fall back on their intuition to make decisions, steer their companies and implement strategy. They are, for example, much more apt to reject important, counterintuitive implications that emerge from big data analyses.”

To get the best results as a data-driven organization, here are some of the best practices to strengthen the foundations and make your business data the most reliable it can be.

9 Ways to Fix Unreliable Data and Increase Accuracy

1. Improve your data foundations.

Data debt – the cost attached to poor governance of data in a business – is a significant problem for many organizations, and 36% of businesses say data literacy is crucial to future-proof their organization, shares Experian.

Making your business data more reliable doesn’t just happen by magic: it requires strong frameworks, processes and a data-literate workplace. As early in your business journey as possible, ensure that you have:

A strong CRM system to centralize all contact data
Processes to organize and segment data
Integrations between apps
Formal data literacy programs in place to educate your team
A clear strategy of how you will use and maintain the data you collect

Remember the old proverb: the best time to plant a tree was 20 years ago, the second-best time is now. The same goes for getting your data in order!

2. Look at where new data is coming from.

Just like reliable data, messy and unreliable data doesn’t happen accidentally. There’s always a source. To make your business data more reliable, follow the trail back to where data is coming from.

How is data being added to your CRM? Are there forms or manual imports that are causing bad data to clutter your database? Are different team members importing conflicting data in different ways to multiple apps?