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5-Step Checklist for SaaS Businesses to Enhance Cloud Security

Most SaaS businesses leverage the cloud to manage and store their data, applications, and workloads. With appropriate cloud security measures, SaaS businesses can ensure device and user authentication, resource and data access control, and privacy.  This can help protect cloud-based infrastructure from malware, unauthorized access, and cyberattacks. What’s shocking is, a recent survey by Oracle revealed that 92% of […]

AI and ML to Become Critical for Procurement Teams in 2023

The procurement technology (ProcureTech) industry has come a long way since its humble beginnings. Just think, procurement professionals used basic tools like pen and paper and – at least more recently – long, winding spreadsheets. Today, the sector has transitioned to using highly cutting-edge technologies that drive strategic decision-making. These solutions have created a higher […]

The Case for GDPR by a Friendly Hacker

I like to hack into Microsoft products in my free time – and that’s given me a pretty unique perspective on how we need to protect data in our digital world. Before anyone calls the authorities, I promise that it’s all kosher. In fact, Microsoft rewards people for discovering their vulnerabilities.  Whitehat hacking and bug […]

Optimizing Data Quality to Navigate Economic Turbulence 

Sustained economic volatility and a global recession have forced enterprise leaders to make difficult decisions. Some are reducing headcount and scaling down operational overhead to become more agile, while others have implemented cost-saving measures, such as cutting tech spend, to improve financial flexibility. These initiatives may provide companies with short-term reprieve during times of disruption, […]

Best Practices in Data Pipeline Test Automation

Data integration processes benefit from automated testing just like any other software. Yet finding a data pipeline project with a suitable set of automated tests is rare. Even when a project has many tests, they are often unstructured, do not communicate their purpose, and are hard to run. A characteristic of data pipeline development is the frequent […]