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How to Achieve Healthy Data

How to Achieve Healthy Data

Having the right data at your fingertips can be crucial in effective decision making and gaining valuable insights into your business and its market. However, the world of data is constantly growing and being able to manage your data efficiently can prove to be a challenge. The quality and health of your data can make a huge difference to your business, as IDS will explain more.

Healthy Data = Healthy Business

Quality data can help you to improve a number of business areas, from predicting customer experience to providing competitor information. Healthy data is accurate, complete and consistent, making sure you avoid costly mistakes when it comes to business decisions.

Measuring the health of the data running through your organisation not only helps you to influence top-down decision making, but will also ensure you’re able to meet regulatory requirements too. It’s important that you consider investing in data quality management to provide insights to the health of your data, and where it can be improved in order to achieve data truth.

Previously manual processes to clean, transform and migrate data were prone to errors, which could be a huge blow to businesses who use the data to ensure consistency and accuracy. 

The important thing to remember here is that it’s not just about having healthy data itself, but also the outcomes that depend on that healthy data. This could be anything from supply chain management, data integration, regulatory requirements, analytics and more.

Data that is Discoverable and Valuable

The core components of data quality include cleansing, deduplication, data matching and standardisation. These elements can play important roles in your journey to healthy data that offers an advanced level of insight to support decision making. What’s more, automated testing solutions can also help to ensure your data is fit for purpose.

Healthy data can give you some meaning behind your data, so that your business can take value from the available information and utilise it accordingly. In a world characterised by change, risk and complex data, the role of data certainty is key. Data quality tools are instrumental in helping to make sure your data is easily discoverable and of value, through processes like test data management, data profiling and data validation.

It’s also important to ensure your team are equipped with the right skills to make the best use of the data in front of them.

In Summary

Data health can have a direct effect on having a data-driven economy, something the UK government is striving for in its National Data Strategy Policy Paper. Achieving healthier data within your organisation can help you to avoid unreliable information, which can be costly if used to make decisions. 

Without data quality management, you could be left with incomplete, outdated or duplicated data. Discover data management strategies today to build a successful business for now and in the future.

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