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Overcoming a World Awash in Dirty Data

Like an invisible virus, “dirty data” plagues today’s business world. That is to say, inaccurate, incomplete, and inconsistent data is proliferating in today’s “big data”-centric world. Working with dirty data costs companies millions of dollars annually. It decreases the efficiency and effectiveness of departments spanning the enterprise and curtails efforts to grow and scale. It […]

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 […]

Developing a Strategy to Democratize Data

The goal of building a strategy to democratize data is to allow all appropriate staff to access the organization’s data, regardless of their technical skills or job description. Previously, a researcher would have to submit a request to the IT department for the information they needed. For example, if a production manager wanted a mid-month […]

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, […]

Takeaways for Businesses in the Rapidly Evolving Data Security and Privacy Landscape

As more and more businesses jump into the digital transformation bandwagon by leveraging cutting-edge tools and technologies, data security and privacy challenges have also increased.  Even though customer privacy and security may seem interchangeable to most of us, both are distinctly separate yet interrelated concepts. And knowing the exact difference between the two is undoubtedly the need […]

What Is a Data Governance Framework?

A Data Governance framework refers to the collection of rules, processes, roles, and tools organizations can use to achieve successful Data Governance. Implemented correctly, Data Governance directly correlates to an organization’s ability to manage its data while maintaining compliance standards and accessibility within the enterprise.  With the vast amount of data generated each day, businesses must ensure […]

Denodo Demo: Future-proof Data Management Through Logical Architectures: Data Fabric and Data Mesh

  Download the slides here>> Data fabric and data mesh are two concepts frequently mentioned in conversations surrounding enterprise data management. Over the past two decades, enterprises have managed data by oscillating through cycles of centralization and decentralization. Despite the abundance of options, the conundrum remains — businesses want data to be in one place, […]