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 […]
Leveraging Data Governance to Manage Diversity, Equity, and Inclusion (DEI) Data Risk
This is part 2 of a two-part article. Find part 1 here. In this section, we discuss how to leverage Data Governance to manage DEI data risk. In part 1 of this article, we identified several best practices for data that chief diversity officers can leverage to support data-driven approaches to diversity, equity, and inclusion (DEI). As […]
How Data Integrity Can Maximize Business Value
The last few years have demonstrated how critical it is for businesses to maintain agility and make fast, confident decisions to stay ahead. The resulting economic uncertainty and growth of industry-wide trends, including ESG, cloud migration, and the rise of artificial intelligence and machine learning programs – such as OpenAI’s newly launched GPT-4 model and […]
Data Observability vs. Monitoring vs. Testing
Companies are spending a lot of money on data and analytics capabilities, creating more and more data products for people inside and outside the company. These products rely on a tangle of data pipelines, each a choreography of software executions transporting data from one place to another. As these pipelines become more complex, it’s important […]
How Automation Is Changing the Compliance Workflow
With over 1.1 trillion MB of data generated daily, you would be hard-pressed to find an industry that isn’t leveraging data and technology to drive organizational success. And for good reason – from real-time decision-making to better generating visibility into operations, data has become an indispensable part of the business world’s intelligence toolbox. That said, some sectors […]
Why Mature Data Governance Is Essential for Data-Driven Diversity, Equity, and Inclusion (DEI)
This is part one of a two-part article. In this section, we discuss how Data Governance can be leveraged to support data-driven diversity, equity, and inclusion (DEI). In the next section, we will look at how to manage DEI data risk. Diversity is recognized as key to increasing performance within organizations. Chief diversity officers face […]
How Can Project Open Data Improve Data Quality?
Data is a valuable asset to the U.S. government and the public. Making it accessible and usable intensifies democracy in the country. It also promotes effectiveness in the government, as well as efficiency in each branch. Project Open Data is a place where fostering collaboration and promoting improvement in open data policy is intended. This […]
How to Assess Data Quality Readiness for Modern Data Pipelines
For growth-minded organizations, the ability to effectively respond to market conditions, competitive pressures, and customer expectations is dependent on one key asset: data. But having just massive troves of data isn’t enough. The key to being truly data-driven is having access to accurate, complete, and reliable data. In fact, Gartner recently found that organizations believe […]
Data Lakehouses: The Future Of Data Migration
It’s no surprise that, in 2023, business enterprises want to become truly data-driven organizations. For many of these organizations, the path toward becoming more data-driven lies in the power of data lakehouses, which combine elements of data warehouse architecture with data lakes. Data lakehouse architecture is particularly attractive to businesses that want to more rapidly […]