Kyvos: Unleashing large-scale analytics with GenAI and semantics

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In today’s data-driven world, organisations are grappling with the challenge of harnessing the power of their ever-growing data reserves. As data volumes soar and business complexities escalate, traditional business intelligence (BI) tools often struggle to deliver the speed, scalability, and consistency modern enterprises demand. Enter Kyvos Insights GenAI Powered Semantic Layer, a solution that blends the power of generative AI (GenAI) with semantic modelling, providing a reassuring solution that empowers organisations to effectively manage and utilise their data at scale.

The scale conundrum

Large enterprises, such as those in the banking, telecom, and retail sectors, routinely deal with data volumes spanning billions or even trillions of records. While traditional BI tools excel in handling smaller data sets and limited user bases, their performance falters as data volume and user demands increase. Slow query response times, limited historical data analysis capabilities, and the inability to drill down, roll up, slice, and dice data can severely hinder business agility and decision-making.

Kyvos: The GenAI-powered semantic layer

Kyvos presents a high-speed solution that introduces a GenAI-powered semantic layer between BI tools and data lakes. At its core, Kyvos smartly pre-aggregates and builds multidimensional data models, enabling high-speed analytics on huge data volumes without relocating data from a customer’s environment.

By leveraging its own patented smart pre-aggregation techniques and optimised compute resources, Kyvos delivers sub-second query response times, a feat that would typically take several minutes with traditional BI tools. This enables organisations to quickly analyse a huge amount of data and instantly drill down, roll up, slice, and dice that information in a performant manner.

Consistency and governance through semantic modelling

Kyvos’ semantic layer offers a unified platform for a diverse range of tools, connection layers, data stores, and data sources in a way that securely fosters reporting consistency while simultaneously strengthening data governance. By providing a single, semantically modelled view of the business, Kyvos helps ensure users, irrespective of their BI tool or front-end application, can access and report on the same numbers, enhancing trust in the data and facilitating better decision-making. Whilst that sounds eminently sensible, only some systems can deliver that.

Kyvos’ architecture delivers savings on cloud compute costs – an increasingly key business consideration – offering high-speed querying at low cost. Unlike cloud data warehouses that charge per query, Kyvos builds the model once, and queries are served through its semantic layer, eliminating the need for resource-intensive, on-the-fly data processing.

GenAI: Empowering conversational analytics

Kyvos has embraced GenAI with its plans of creating its own conversational analytics capabilities into its upcoming release. The platform’s approach surpasses that of traditional BI tools by putting natural language processing (NLP) at its core. Kyvos enables business users to query data using plain language, with the system generating the corresponding MDX (Multidimensional Expressions) or SQL expressions behind the scenes.

Kyvos leverages GenAI to summarise reports, graphs, and narratives, providing users with concise, contextual insights without the need for extensive data exploration. This democratises data access, enabling even non-technical users to engage with complex datasets to derive actionable decision intelligence. It recognises that modern enterprise technology landscapes are diverse and offers integrations with a wide range of popular BI tools, such as Power BI, Tableau, and Excel. This enables business users to see this intelligence in whatever tool they want.

Seamless integration and governance

With certified native connectors and built-in single sign-on (SSO) capabilities, Kyvos offers a secure user experience, eliminating the need for cumbersome data extracts or siloed implementations from happening. It focuses on data governance and security, with its robust role-based access control, column-level security, data masking, and integration with popular identity providers. Additionally, by actively pursuing partnerships with leading data cataloguing and governance tools, Kyvos helps ensure organisations can maintain centralised control and auditability over their data assets.

Advanced financial analytics and future roadmap

While Kyvos caters to diverse industry verticals, it has garnered acclaim in the financial services sector for its advanced financial analytics capabilities. Kyvos excels in handling complex hierarchies, such as parent-child, ragged, alternate hierarchies, and custom rollups, which are features essential for financial institutions dealing with intricate data structures.

Looking ahead, Kyvos is poised to enhance its GenAI integration further, enabling hyper-personalised analytics experiences. By leveraging large language models (LLMs) and machine learning, Kyvos aims to surface insights, anomalies, and patterns, delivering tailored intelligence directly to users’ inboxes or preferred communication channels.

In summary

In a world where AI and data hold the key to competitive advantage, multiple-award-winning Kyvos is empowering organisations to navigate the complexities of large-scale analytics with relative ease. By harmonising the power of GenAI and semantic modelling, Kyvos delivers speed, scalability, stability, and consistency, enabling businesses to extract value from their data reserves. As the demand for data-driven decision-making continues to soar, solutions like Kyvos will undoubtedly play an important role in shaping the future of enterprise analytics.

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