Data Quality refers to both the characteristics associated with data, and the processes used to measure or improve the quality of data. A high standard of data quality ensures that you can have confidence when using data in all aspects of your business. Don't underestimate the value nor the power of good data quality.
Good data quality gives you greater insight into your business by providing you with accurate reporting and analysis. It helps you navigate and react on your path to growth. And it propels your business towards your vision.
But what if your data is poor quality?
Inconsistent, inaccurate or outdated data leaves a business open to lost opportunities and at risk from the consequences of badly informed decisions. That's why building a data quality strategy into your day-to-day processes is vital.
When data is high quality, you can trust the decisions you're using it to make, and you can have confidence in its contribution to your business growth.
If data is of a high quality, less time will be spent correcting mistakes or searching for the correct information - more time will be spent actually using the data.
Poor quality data can result in fines for not adhering to laws, so if your data is fit for purpose and you can trust it, then you have reduced the risks and potential costs to the business.
Data Quality is just like baking the perfect loaf of bread... (just with less flour and yeast)
Just like you need the right fuel to launch a spacecraft, your business needs the right data to propel growth
Need help getting started with a Data Quality strategy, or ramping up what you're already doing? These practical, easy-to-implement tips from Arun Chandar, our VP Data Management, will give you what you need to ensure your data is high quality…
At Amplifi, we see good data as the result of technology, people and processes working together to deliver a business vision. That’s why our data quality management services provide you with a practical step-by-step process to help you to identify your organisation's business objectives and establish the data you need to reach them.
We can then help you to create the processes and protocols you need to maintain quality and consistency across the board, including:
Thinking about getting started on a Data Quality journey, or need some guidance on where to go next? Fill in our form to request a free consultation with Arun Chandar, and see how Amplifi can help improve your data quality.