What this blog covers:
- What is Gartner’s Hype Cycle for Analytics and Business Intelligence 2024 report all about?
- How metrics layers have matured in the past years, driving factors and what’s in the future for them.
- How and why is Kyvos one of the leading vendors in the metrics later category.
Organizations need standardized metrics definitions to make data-driven decisions across decentralized data analytics stacks and maintain consistency in self-service models. A metrics layer helps achieve this as a unified repository of metric definitions and dimensions.
Gartner Hype Cycle for Analytics and Business Intelligence 2024 report explores the top platforms in this segment. It charts the landscape to help organizations invest in a platform that:
- Maintains consistency in metrics definitions
- Streamlines data analytics pipelines
- Fosters collaborations among data teams
As a gen AI-powered semantic layer, Kyvos delivers all the benefits of a metrics layer and offers much more. Here’s a full scoop on the report and our capabilities that put us on its radar.
Hype Cycle for Analytics and Business Intelligence 2024: What Is It About?
Gen AI has emerged as a key driving force for innovations in the data and analytics space, especially as it matures now. The gap between data and data consumers is closing fast as analytics and BI vendors continue to integrate Gen AI capabilities into their productions. The battle now is to identify the innovations and solutions that can live up to this hype with winning colors.
In this report, Gartner has evaluated the level of maturity reached by such Gen AI-infused innovations. Though it’s been around for a while now, metrics layer is a technology that has matured tremendously in recent years. With a ‘high’ benefit rating for its adopters, it has the potential to fully mature in the next 5 years and leave traditional analytics in the dust. As much as legacy methods have thrived so far, they don’t suffice when siloed data and insights affect key business decisions and fail to implement data democratization at the enterprise level. A metrics layer can help achieve both.
What Is a Metrics Layer and How Does It Support Enterprise Data Innovations
Maintaining consistency across business logic and metrics isn’t easy as the number of BI platforms adopted within an enterprise and data volumes increase. Siloed departmental metrics create confusion and lead to duplication of KPI definitions. A metrics layer helps codify these definitions to accelerate BI and analytics initiatives. This virtualized layer exists between data warehouses and downstream platforms or applications to deliver consistent metrics definitions for all data consumers. As an agnostic layer, it connects seamlessly with any data analytics, BI, data science and machine learning tool to ensure better data management and interoperability.
Gartner has identified five key drivers for this shift anticipated for the maturity of metrics layers. They are distributed analytics, diversified use cases, increasing demand for CI/CD pipelines, redundant pipelines and misaligned metric definitions. A metrics layer can add more fuel to these driving factors, creating an optimal analytics environment—one that relies on unified metrics definitions for all users. The Hype Cycle report recommends choosing a platform that offers a feature-rich interface with business user-friendly capabilities.
Kyvos Gets a Prime Spot in the Report: Here’s Why
The prioritization of a metrics layer for analytics and business intelligence is pinned on the ‘upside’ in the report, showcasing its deep impact on overall business performance. Kyvos has tapped into this potential as a critical building block for modern data and analytics stacks.
Not just a metrics layer, Kyvos is a full-fledged semantic layer powered by gen AI and advanced AI/ML algorithms.
With Kyvos at the helm, users can deep-dive into enterprise data and extract actionable insights, even if they aren’t well-versed in the underlying technologies. The platform connects with various BI and analytics tools to improve user experiences and ensure higher adoption of standardized metrics across the board. Kyvos creates a metrics layer enriched by an underlying universal semantic layer for a single source of truth for different departments, users and BI tools.
Contact our experts for an in-depth exploration of how Kyvos’ gen AI-powered semantic layer functions within the scope of data analytics to establish a metrics store.
Explore the full Gartner report here.