“You can have all of the fancy tools, but if [your] data quality is not good, you’re nowhere” – Veda Bawo, Data Governance Advisory at JLL Technologies
Data and business
In the 21st Century, data is everywhere. Businesses routinely use data, to run their organisations, drive optimisations, make decisions, plan investments. Estimates indicate, every single day in 2024, the world creates over 300 million terabytes (that’s a lot of data) and this pace is only predicted to accelerate. Businesses have amassed colossal treasure troves of data at their fingertips to help drive and improve, informed decision making.
A business’s people and processes change, errors can occur in data processes, mistakes may be introduced, data can degrade with time. What if, the information being so carefully curated and interpreted is not correct? If the data isn’t accurate and fit for purpose, then, the decisions that are made may not be the most appropriate either.
Data Quality (DQ) is one part of an overall Data Governance Framework. It looks to understand (what aspects of DQ is important to your business), measure, track, understand, and aid with rectification of DQ Issues before those issues impact your organisation’s decision-making effectiveness.
How we can support your company
Here at Dufrain, we understand data, in fact, I would go as far as saying, we love data. So much so, we’ve built an entire business around data. We understand how data can help drive an organisation, and even better we’re here to help your business enhance value from your data.
We have been supporting organisations to resolve their data challenges for over a decade now, we have seen, and worked with many DQ solutions, tools and products. We have also seen how many of these do not deliver quite what the organisation wants from a DQ tool. So, we have built one ourselves.
Dufrain’s Data Quality Engine is a complete solution that enables an organisation to build a full picture of DQ across all their Data Assets. It allows effort to be focused on specifying the DQ rules that are most important to your organisation without having to spend additional time and money on building bespoke processes to implement these definitions throughout your data estate.
Because we work day in and day out with data, we have built it using the right tool sets to be able to handle a volume and type of data and can be scaled to work for any organisation, any size or shape. It is fully Cloud enabled or available for on-premise setups. It enables consistent, accurate, and reliable rule definitions to be adopted across your business by centralising your Rule definitions into a single repository, to give you total control and oversight of all the calculations and results for the DQ metrics that matter most in your business. With visualisation tools, and friendly graphical interfaces, to provide easy and timely assessment of DQ issues arising, your organisation can take control of DQ before it takes control of your business.
Speak to the data pioneers today
Why don’t you get in touch, and we can talk through your data quality problems and how we can help.