Data Management Decoded: Understanding How the 4 Pillars Drive Business Success

In today's landscape, where data is becoming more and more important, effective data management has emerged as the cornerstone of digital success. As the area continues to expand, businesses are faced with more and more data – a valuable resource that, when harnessed correctly, can propel growth, and innovate decision-making. To prepare for these times correctly, you must be aware of the 4 pillars of Data Management. 

Data Quality Assurance 

Your current data is the guide to what has happened, what is happening and understanding what will happen next, this is useless without understanding your data quality. By employing the right data tools, organizations can cleanse, validate, and enhance their data quality, transforming it into a trustworthy source of truth. (Maybe check out our Data Quality video…) 

Data Governance 

As much as we might dislike them, rules and procedures are in place for a reason. This standard fosters accountability, ensures compliance, and aligns data practices with the business objectives. By implementing robust guidelines, businesses can understand the landscape of data management with clarity and purpose. 

Data Integration 

Data integration acts as a conduit, between data streams and allows seamless communication between systems, users and departments (Maybe check out Alteryx as your way of linking your systems, spreadsheets and cloud services together). Without which countless hours will be wasted on duplicated worst, manual transcription and inaccurate assumptions. 

Data Privacy and Security 

Data is valuable. Cyber security has never been more important, you can have as many firewalls, mobile factor authentication or security measures in place but your biggest liability will always be the users. Whilst the former is still imperative, you cannot forget about training and data maturity that must go on in the workforce as well as the systems.