
D&B Hoovers is a sales intelligence and revenue workflow platform that helps organizations identify, prioritize, and act on buying signals. By combining trusted company and contact data with buyer intent, website engagement insights, trigger events, and AI-powered assistance, D&B Hoovers helps revenue teams uncover opportunities sooner and make more informed decisions throughout the sales cycle.
Built on the Dun & Bradstreet Data Cloud, D&B Hoovers provides comprehensive business intelligence, including company profiles, corporate family structures, decision-maker contacts, industry information, financial insights, company news, and market intelligence. Advanced search and segmentation capabilities allow users to identify high-potential accounts and build targeted prospect lists based on business characteristics, growth indicators, and buying signals.
D&B Hoovers integrates into existing sales and revenue workflows, helping teams reduce research time, prioritize outreach, monitor account activity, and engage buyers with greater relevance. Real-time business triggers and account intelligence help organizations understand changing customer needs, identify opportunities, and focus efforts on the accounts most likely to convert.
Whether supporting prospecting, account planning, pipeline generation, or revenue operations, D&B Hoovers provides the trusted intelligence and contextual insights needed to help teams work more efficiently and drive better business outcomes.
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Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.
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Nue
Nue is the #1 Revenue Lifecycle Platform on Salesforce. Nue is designed to meet the requirements of modern businesses. Configure dynamic pricing. Sell via any channel (self service + direct sales + in-app). Manage renewals and increase revenue. Know exactly when and what to charge.
Nue allows RevOps to quickly deploy opportunity-to cash processes for direct sales and self-service, while providing complete, accurate analytics for Finance. Nue was built for SaaS companies that are growing fast and need a flexible, IT-heavy solution to manage revenue flows from end-to-end.
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Jiminny
Jiminny is a leading Conversation Intelligence platform designed to capture and analyze key go-to-market insights across video, voice, and email. Powered by AI, it automates data entry into your CRM, saving your team time and improving productivity. Jiminny enables revenue teams to focus on selling smarter, achieving faster growth, and closing more deals.
With its intuitive interface and actionable insights, Jiminny equips managers to effectively develop their teams and helps executives make confident, data-driven decisions. The platform delivers measurable ROI within six months, offering a seamless onboarding process and a user-friendly experience. Empower your business with Jiminny to transform conversation intelligence into a driver of revenue growth.
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