In today’s hyper-competitive economy, data is a critical asset that drives innovation, strategic decision-making, and competitive advantage. However, for many mid-sized organizations, turning raw data into actionable business intelligence (BI) is challenging. The rapid pace of technological advancements, coupled with increasingly complex data environments, presents significant hurdles, particularly for those with limited resources to build […]
The Rise of BYOC: How Data Sovereignty Is Reshaping Enterprise Cloud Strategy
Enterprise technology leaders face mounting pressure to balance competing priorities. Cloud platforms offer unprecedented innovation, potential, and scale, but regulatory compliance requirements and data control mandates create friction when trying to consolidate everything in a public cloud. And shifting to a full SaaS environment just gives up too much control for these large companies, creating […]
Real-Time Financial Data: Transforming Decision-Making in the Banking Sector
Think of a bank’s treasurer responsible for international cash movement across its global accounts. He receives a notification that a significant amount has been credited to one of the accounts in Asia. A few minutes later, the funds have been transferred to clear up a cash requirement on the other side of the world in Europe. […]
DataOps and Scalability: The One-Two Punch for Creating Successful Data Products
Data products are proliferating in the enterprise, and the good news is that users are consuming data products at an accelerated rate, whether it’s an AI model, a BI interface, or an embedded dashboard on a website. The bad news is that too many data engineering teams still rely on manual methods to keep these […]
Why Data as a Product Is Replacing Dashboards in the Modern Enterprise
For years, organizations have invested heavily in dashboards, data warehouses, and centralized reporting platforms. Yet many still struggle to turn their growing volumes of data into real business results. The problem isn’t the data, it’s how we think about it. Business leaders must treat data not merely as an asset to be stored and queried, […]
Best Practices for Automating Complex Unstructured Data Migration
In today’s data-driven business environment, enterprises are increasingly relying on sophisticated data migration strategies to manage and move vast amounts of information, particularly unstructured data. As enterprise IT infrastructure evolves, so too does the complexity of data migration. The scale, speed, and accuracy required to successfully migrate large datasets – often containing billions of files […]
Dark Data: Surprising Places for Business Insights
A recent AI and Information Management report has shown that 64% of organizations manage at least 1 petabyte (PT) of data, and 41% manage at least 500 PTs. In itself, this is perfectly fine – data is the new oil, after all. The problem is, however, that anywhere between 40% and 90% of this data ocean remains dark, which […]
Change Data Capture and the Value of Real-Time Data Integration
Business insights are only as good as the accuracy of the data on which they are built. According to Gartner, data quality is important to organizations “in part because poor data quality costs organizations at least $12.9 million a year on average.” So, we believe that it stands to reason that providing access to the […]
From Parchment to Python: How Smart Data Evolved to What It Is Today
Data used to be a physical thing, stored on paper and in ledgers. Security was also a physical thing, with valuable data protected by actual locks and guards. Today, we navigate a landscape dominated by code, algorithms, and digital streams of data, a far cry from those early days. Yet, despite these transformative changes, the […]
Implementing Data Observability to Proactively Address Data Quality Issues
Data-driven decision-making is essential in all organizations, but using low-quality data can potentially be more harmful than using no data at all. Unreliable or outdated data can have huge negative consequences for even the best-laid plans, especially if you’re not aware there were issues with the data in the first place. That’s why data observability […]