On the ‘Unlocking Value with Data’ podcast, host Ross Helenius, Director AI Transformation Engineering & Architecture at Mimecast, and I sat down to discuss how organizations can identify, measure, and capture value across their operations.
A significant obstacle to unlocking value is the existence of silos within organizations. When departments function in isolation, it results in disjointed data, conflicting objectives, and inefficiencies. By dismantling these silos, businesses can foster a cohesive vision that fully realizes the potential value of the data at hand.
We discussed the need to establish well-defined metrics that are closely aligned with the organization’s objectives. For example, if the primary focus is on retaining customers, then the metrics should center around factors such as customer churn rates, Net Promoter Scores (NPS), and the frequency of repeat purchases.
Alignment is not just about agreeing on strategy; it’s about creating a shared understanding across all levels of the organization,” - Sanjay Agrawal, CEO and Co-founder @ Revefi
By implementing tools and processes that promote collaboration across departments, tackling this issue becomes more realistic. For instance, a unified data platform can act as a central repository, providing all teams with consistent and reliable information. Additionally, holding regular cross-departmental meetings and workshops can enhance communication and ensure alignment among teams.
Driving Change Through Technology Adoption
The COVID-19 pandemic has significantly transformed business operations. The rise of remote work, accelerated digital transformation, and evolving consumer behaviors have brought about both challenges and opportunities. To effectively manage uncertainties, companies should invest more into adaptable supply chains and strong digital infrastructure. To put it simply - we need to focus on agility and resilience in order to create value.
The pandemic has accelerated trends that were already underway, such as the move to digital and the focus on resilience,” - Sanjay Agrawal, CEO and Co-founder @ Revefi
The Cost Of Innovation
Despite offering improved flexibility and scalability, Cloud Data Warehouse costs can unexpectedly balloon out of proportion if not effectively controlled. As business scale, compute costs gradually began to increase.
While the cloud was initially seen as a cost-saving option, many organizations are now looking for innovative ways to address the financial challenges associated with storing and processing data. Without proper management, costs can quickly escalate, especially as businesses increase their reliance on data.
Traditional methods of data quality management often involve manual processes, which are time-consuming and prone to errors. As data volumes grow, these methods become increasingly unsustainable. What if I told you that there was a work-around?
Zero-touch data observability employs artificial intelligence (AI) and machine learning (ML) to autonomously manage and improve data quality, usage, and performance, thereby eliminating the need for human intervention. By implementing zero-touch observability, businesses can proactively spot and resolve data issues, ensuring their data pipelines function smoothly and efficiently.
The Revefi Formula: Crafting a Winning Strategy
Revefi's data operations cloud offers a comprehensive solution to these challenges. By providing a zero-touch platform that effectively governs data quality, spend, and usage oversight, organizations can now monitor and optimize their cloud data warehouses more effectively. Our platform empowers organizations with real-time data observability by delivering operational visibility, paving the way for improved decision-making and efficiency.
Whether it’s healthcare, manufacturing, or IT/ITeS, our platform is geared towards empowering data teams with total control of their enterprise data. A standout feature of Revefi's platform is RADEN, an AI Data Engineer that acts as a co-pilot for data teams. RADEN assists in observing data pipelines, usage patterns, quality metrics, and spending in real-time, thereby providing actionable insights in less than five minutes.
The implementation of Revefi's solutions has yielded significant results for our clients. One customer reported a 30% reduction in data warehouse spending, while their data team experienced zero escalations related to data quality issues, despite a 35% increase in data adoption.
This rapid observability empowers organizations to make informed decisions swiftly, maintaining data integrity and cost efficiency.
Conclusion
Unlocking value is not a one-time effort; it’s an ongoing journey.” - Sanjay Agrawal, CEO and Co-founder @ Revefi
Looking ahead, we envision a future where data operations are increasingly automated, allowing organizations to focus on deriving value from their data rather than managing its infrastructure.
As businesses face increasing pressure to do more with less, the insights shared in this podcast serve as a valuable guide for navigating the complexities of modern business. By focusing on measurable outcomes, fostering alignment, leveraging technology, and embracing strong leadership, organizations can unlock their full potential and drive meaningful change.
You can also listen to the full podcast here.
