Top 10 Alternatives to Experian Credit Analytics (UK) Recently Reviewed By G2 Community
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As a cloud-native AI, analytics and data management platform, SAS Viya enables you to scale cost-effectively, increase productivity and innovate faster, backed by trust and transparency. SAS Viya makes it possible to integrate teams and technology enabling all users to work together successfully to turn critical questions into accurate decisions.
The world's most used supplier of business credit reports
Salesloft powers durable revenue growth for the world’s most demanding companies. Salesloft’s industry-leading Revenue Orchestration Platform uses purpose-built AI to help market-facing teams prioritize and take action on what matters most, from first touch to upsell and renewal. More than 5,000 customers including Google, 3M, IBM, Shopify, Square, and Cisco gain a performance force multiplier with Salesloft by shifting to a durable revenue engagement model, helping them solve the complexities of modern B2B sales and unlock revenue efficiency.
Turn data into action at scale with human and agent collaboration. AND Scale data-driven insights with complete operational confidence. AND Deploy visual, self-service analytics with unmatched control and flexibility.
6sense is an ABM/ABX platform that helps B2B organizations achieve predictable revenue growth by putting the power of AI, big data, and machine learning behind every member of the revenue team, helping them know everything they need to know so they can do anything needed to compete and win more often.
Adobe Analytics helps you create a holistic view of your business by turning customer interactions into actionable insights. With intuitive and interactive dashboards and reports, you can sift, sort, and share real-time information to provide insights you can use to identify problems and opportunities.
Analyze Big Data in the cloud with BigQuery. Run fast, SQL-like queries against multi-terabyte datasets in seconds. Scalable and easy to use, BigQuery gives you real-time insights about your data.
Domo is an agentic platform for the intelligent enterprise that helps organizations build, manage, and distribute AI-powered solutions using governed business data. The platform brings together three core capabilities: a data foundation to connect and govern enterprise data, an activation layer to build AI agents, apps, workflows, and analytics, and a distribution layer to deliver intelligence where people work. Designed for enterprises, Domo works with existing cloud data platforms such as Snowflake, BigQuery, and Databricks, as well as other business systems and apps. Organizations use Domo to connect data from across their business, apply governance and security controls, build AI-powered solutions, and deliver insights through dashboards, embedded apps, mobile experiences, and AI assistants. Domo combines three core capabilities: data foundation, activation, and distribution: 1. The data foundation connects and governs enterprise data across cloud data platforms and business systems. 2. The activation layer enables teams to build AI agents, apps, workflows, automations, and analytics on top of governed data. 3. The distribution layer delivers intelligence where users work, including dashboards, embedded apps, mobile experiences, and AI assistants using Model Context Protocol (MCP). Governance, security, and access controls support all three layers to help organizations scale AI and data initiatives with trust. Common use cases for Domo include AI agents and apps, business intelligence, operational analytics, executive reporting, embedded analytics, AI-powered workflows, and custom data apps. The platform supports both technical teams and business users with low-code and pro-code development options for building and sharing AI-powered solutions across the enterprise.
Alteryx drives transformational business outcomes through unified analytics, data science, and process automation.
IBM SPSS Statistics is an integrated family of products that addresses the entire analytical process, from planning to data collection to analysis, reporting and deployment.