List of Kyvos Semantic Intelligence Layer Customers
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Since 2010, our global team of researchers has been studying Kyvos Semantic Intelligence Layer customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Kyvos Semantic Intelligence Layer for Analytics and BI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Kyvos Semantic Intelligence Layer for Analytics and BI include: Walgreens, a United States based Retail organisation with 206000 employees and revenues of $139.08 billion, Verizon, a United States based Communications organisation with 99400 employees and revenues of $134.79 billion, Barclays UK, a United Kingdom based Banking and Financial Services organisation with 93000 employees and revenues of $35.14 billion and many others.
Contact us if you need a completed and verified list of companies using Kyvos Semantic Intelligence Layer, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Barclays UK | Banking and Financial Services | 93000 | $35.1B | United Kingdom | Kyvos | Kyvos Semantic Intelligence Layer | Analytics and BI | 2017 | n/a |
In 2017, Barclays UK deployed the Kyvos Semantic Intelligence Layer to accelerate Analytics and BI for risk and P&L analytics focused on interest rate derivatives. The Kyvos Semantic Intelligence Layer was implemented as an OLAP-based BI acceleration layer to enable fast multi-dimensional queries over very large transaction datasets.
Implementation centered on the Kyvos semantic layer and OLAP cubes as the primary modules, providing multidimensional models and query acceleration for analyst-facing BI workflows. The configuration emphasized semantic abstractions for risk and P&L measures, cube-level aggregation and indexing to support ad hoc slicing and dice operations common in derivatives analytics.
Operational coverage targeted Barclays UK risk and P&L analytics teams and reporting workloads, ingesting very large transaction datasets tied to interest rate derivatives. The implementation functioned as the BI acceleration tier for risk reporting and trading desk analytics, improving query responsiveness for downstream reporting and analytics tools.
Governance activities focused on standardizing semantic definitions and consistent metric usage across risk and reporting functions, while rollout details are limited. Barclays reported an improvement in analysts time to insight as a direct outcome of using the Kyvos Semantic Intelligence Layer for these Analytics and BI workloads.
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Verizon | Communications | 99400 | $134.8B | United States | Kyvos | Kyvos Semantic Intelligence Layer | Analytics and BI | 2017 | n/a |
In 2017, Verizon implemented the Kyvos Semantic Intelligence Layer as an Analytics and BI consumption layer. Verizon built a Kyvos OLAP cube with 168 billion fact rows on its big data platform to enable instant business intelligence access across the enterprise.
The deployment used the Kyvos Semantic Intelligence Layer as an OLAP semantic layer that materialized cube aggregates and dimension hierarchies to deliver interactive query performance while continuing to present data to existing BI tools. The configuration supported large numbers of concurrent users and served multiple business teams by offloading heavy analytic queries from raw data processing.
Governance centered on the semantic intelligence layer to provide consistent business definitions and reusable cube models, institutionalizing a single BI consumption surface for enterprise analytics. The implementation reduced query latency from hours and days to interactive seconds for business users, while retaining the big data platform as the central storage and processing backbone.
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Walgreens | Retail | 206000 | $139.1B | United States | Kyvos | Kyvos Semantic Intelligence Layer | Analytics and BI | 2017 | n/a |
In 2017 Walgreens deployed Kyvos Semantic Intelligence Layer as part of an Analytics and BI initiative to accelerate supply chain analytics across thousands of stores and suppliers. The Kyvos Semantic Intelligence Layer was layered on top of Walgreens' data platform to enable interactive analysis of two years of inventory and sales data for supplier and store level use cases.
The implementation provided an OLAP based semantic layer that powered Tableau dashboards, enabling secure self service access to very large datasets. Kyvos delivered dimensional modeling and aggregate navigation inside the semantic layer, which Tableau consumed to support interactive exploration and ad hoc queries at scale.
Operational coverage focused on supply chain and merchandising workflows, extending analytics from central planners to store and supplier stakeholders. Governance emphasized secure self service provisioning and row level access inside Tableau dashboards so supplier and store level views could be controlled while preserving wide analytical access.
Reported outcomes included a shift from report runtimes measured in hours and days to interactive response times measured in seconds, and the ability to analyze two years of transactional inventory and sales data within Tableau using the Kyvos Semantic Intelligence Layer.
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