siliconindia

Robust data governance policies are crucial in ensuring accurate reports for investors and seamless functioning of machine learning models. Decube, a pioneer in data observability, discovery, and governance, offers a unified platform that empowers organisations to effortlessly observe their modern data stack. This provides a crystal-clear view of the data's status and swiftly identifies and resolves any potential incidents, ensuring data integrity at all times.

“Our platform proactively tackles and monitors client’s data, guaranteeing unwavering trust and reliability in their systems,” adds Jatin Solanki, founder and CEO of Decube.

The firm focuses on improving data quality, accuracy and usability for businesses while also addressing the overall productivity of clients’ data teams through elements like data volume, freshness, drift and data reliability. Many organisations, particularly those in the fintech, healthcare, retail, and e-commerce industries, face the challenge of effectively managing sensitive personally identifiable information (PII). While these companies collect personal data, ensuring its security remains a challenge. Consequently, Decube’s platform provides robust governance, assuring appropriate data access rights.

The platform can be deployed regardless of the client's environment, whether on-premises or in the cloud. This approach ensures the utmost confidentiality of their data, making it impervious to any possible breaches.

According to Gartner, data issues affect approximately 26 per cent of revenues, translating to an average impact of USD 12 million for a company. For instance, ensuring data integrity is paramount in maintaining a CFO's daily dashboard, which relies heavily on specific tables and data points. Daily or near Real-time monitoring becomes critical since inaccuracies might cause major difficulties or substantial business losses. This is what Decube intends to resolve.

The firm seamlessly integrates with diverse data sources within a few minutes, usually through five to seven steps. Through one click, clients can access all information within the ecosystem and effortlessly monitor crucial data. This enables them to utilise critical data elements to effectively derive meaningful insights.

On the other hand, Decube is actively promoting a novel concept called Data Observability. It is a mechanism that places a real-time monitoring lens on the organisation’s data infrastructure, constantly tracking anomalies and poor-quality data and notifying relevant stakeholders of incidents. One instance involved an unintentional data deletion by a team member that affected Decube’s investor report, conveying an inaccurate business outlook. Upon identifying the issue, a bigger concern was recognised — being the first to detect data issues before they influenced decision-making reports. Decube’s distribution checks identified discrepancies, enforced adherence to business rules and generated deviation alerts. Subsequently, schema tracking is followed by lineage and differences, capturing data changes for informative updates.

Showcasing Decube's unified data management approach of observe, discover and govern is a success story involving an Indonesian fintech giant valued at over USD 700 million, which drives Micro, Small, and Medium Enterprises (MSME) financial inclusion and growth.

The pioneering credit-based neobank for MSMEs, with 3 million customers and extensive datasets, encountered substantial data management hurdles. This encompassed manual scripts to verify data freshness, inconsistent quality checks, as well as challenges in tracking data accuracy, prolonged data incident detection times and the absence of a source-to dashboard lineage tracking system.

Our platform proactively tackles and monitors client’s data, guaranteeing unwavering trust and reliability in their systems

By leveraging Decube's data observability, cataloguing and governance tools, the client automated data observance, accuracy tracking, real-time incident detection, reliable quality checks and alert notifications. Within three months, data incidents were reduced by 60 percent, cutting incident resolution time from 14 to 2 hours. Weekly, 40 man-hours were saved in the data engineering team, now redirected towards growth initiatives. The client achieved substantial ROI with Decube, including operational efficiency, resource allocation, enhanced visibility and instantaneous incident detection. They endorsed Decube to their peers who sought improved data management. Implementing data observability platforms was crucial for the client as it ensured precision in data and robust health monitoring, supporting well-informed decision-making based on the appropriate dataset.

The imperative lies in compelling business leaders to encourage proactive engagement with the data team. This dual approach enhances team-wide productivity and underscores the importance of relying solely on dependable numerical insights when shaping pivotal business decisions.