Is Bad Data Affecting Your Performance?

Imagine living in a house without solid foundations - you wouldn’t consider it. Yet, that’s exactly what you’re doing when you are managing your tenants with poor quality data! In fact, one of the biggest strains in the ability to interpret data accurately is the preponderance of poor data. Poor quality data can eventually lead to poor business decisions, which have an adverse effect on how a business performs. Sifting through data and eliminating poor quality data with accuracy is key to effective data analysis.

Data quality issues harm many businesses and lead to a huge loss of revenue every year. In this article, we will discuss how poor data quality can pose a risk to your business through loss of profits, missed opportunities as well as reputational damage, leading to potential compliance nightmares and misinformed decisions fuelled by bad data. 

A recent data health check for a mid-sized Housing Association, undertaken by Sagacity in partnership with Castleton Technologies, illustrated just how wide-spread data problems were in the marketplace, revealing a staggering 40% of tenant data across 800 properties to be inaccurate.

Whether you want to improve operational efficiency, increase customer satisfaction, improve regulatory compliance or migrate onto a different software platform, the quality of your tenant data is fundamental. A data health check is just one of the many ways you can help achieve cleaner, more accurate tenant information. The more accurate the data, the more you know about your tenants, leading to better performance…after all, you wouldn’t live in a house without solid foundations so why manage your housing stock without them?