Data observability platforms like IBM Databand help address a growing problem for businesses: a lack of trust in their data. 75% of business executives do not have a high level of trust in their data, and 70% do not consider their data architecture to be “world class”.
This lack of trust exists despite 89% of executives acknowledging that high data quality is critical to their success. However, only 23% of organizations have a consistent global data management strategy in place. Investing in data observability tools is a key step towards building more reliable and efficient data systems.
Video Insights About Data Observability
🔍 70% of business executives lack high trust in their company data, with the problem expected to worsen as companies move to distributed data architectures, leading to a projected 150% increase in the use of data observability platforms by 2026.
🛠️ Databand, a continuous data observability platform, employs automated anomaly detection powered by machine learning, unified incident management, and visual dashboards to help data teams detect and resolve data incidents faster.
📊 The platform provides visual dashboards and reports to monitor operational health of data pipelines, identify bottlenecks, and ensure smooth data flow, enabling teams to maintain data health effectively.
🚀 Databand offers a 14-day free trial and personalized demo for companies to experience the platform’s capabilities in taking control of their data and preventing the detrimental effects of bad data on business operations.
Check out this other video on Data Observability
Ready to get started? Try our 14-day free trial at https://bit.ly/databand14
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This episode sponsored by IBM Databand.
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