The amount of data we deal with has increased rapidly (close to 50TB, even for a small company), whereas 75% of leaders don’t trust their data for business decision-making. Though these are two different stats, the common denominator playing a role could be data quality. With new data flowing from almost every direction, there must be a yardstick or […]
Data Observability 101
Understanding data health involves monitoring and analyzing diverse aspects of data systems – referred to as data observability – to ensure optimal performance and reliability. Metrics are crucial, providing quantitative insights into data flow, processing times, and system resource utilization. They also help identify patterns and detect anomalies in real time. Logs offer a historical record of […]
Mind the Gap: The Product in Data Product Is Reliability
Welcome to the latest edition of Mind the Gap, a monthly column exploring practical approaches for improving data understanding and data utilization (and whatever else seems interesting enough to share). Last month, we explored analytics architecture stuck in the 1990s. This month, we’ll look at the rise of the data product. It wasn’t so long ago […]
What Is Data Reliability and Why Do You Need It?
“Can I trust this data?” In the dawning age of artificial intelligence (AI), this question becomes increasingly critical for individuals and organizations. Data reliability is the cornerstone of an organization’s data-driven decision-making. A recent survey from Precisely identified data-driven decision-making as the primary goal of 77% of data initiatives, yet only 46% of organizations have high or very […]
Telmai Unveils New Release Aimed at Facilitating Data Observability Adoption
According to a new press release, Telmai, an AI-driven data observability platform, has introduced a significant new release featuring seven pioneering features aimed at simplifying and accelerating data observability adoption within enterprises. With the growing complexity of the data landscape, Telmai’s release addresses the need for continuous, reliable data flow. This release empowers data professionals to […]
Which Data Quality Issues Are Plaguing Data Engineers Today?
We’ve all generally heard that data quality issues can be catastrophic. But what does that look like for data teams, in terms of dollars and cents? And who is responsible for dealing with data quality issues? To get to the bottom of these questions and more, we conducted a survey of 100 survey respondents, at least 63 […]
What Is Data Observability?
Data observability is the practice of monitoring and analyzing the health of an organization’s data and data systems. Essentially, it gives you a 360o overview of what’s happening with your data at any given point in time. This practice is beneficial, as it provides all stakeholders with an in-depth insight into how their data is collected, […]
Top 10 Essentials for Modern Data Integration
Data integration challenges are becoming more difficult as the volume of data available to large organizations continues to increase. Business leaders clearly understand that their data is of critical value but the volume, velocity, and variety of data available today is daunting. Faced with these challenges, companies are looking for solutions with a scalable, high-performing […]
5 Ways Data Leaders Can Improve Data Reliability
Businesses today collect and store an astonishing amount of data. According to estimates from IDC, 163 zettabytes of data will have been created worldwide by 2025. However, this data is not always useful to business leaders until it is organized to be of higher quality and reliability. Despite its importance to effective data analysis, most business leaders […]
How is Bad Data Crippling Your Data Analytics?
Some striking evidence of the impact of bad data can be found in fake email IDs, impersonations on social media, or misuse of stolen financial or personal information. The more widespread harm can be caused by bad data in Data Analytics, where anything from the wrong medical diagnosis to incorrect interpretation of stock history can […]