RFQ
match.com
Supplier DirectoryHow It Works
Services

What do you want to achieve?

Find & Select Suppliers

  • Supplier Discovery Optimization
  • Supplier Evaluation Framework
  • Supplier Risk Assessment
  • Sourcing Strategy Workshop
  • RFQ Process Assessment
  • RFQ Template Optimization
  • RFQ Win Rate Analysis
  • Supplier Base Assessment
View all

Improve Supplier Performance

  • Supplier Performance Benchmarking
  • Supplier Profile Optimization
  • Supplier Consolidation Study
  • Supplier Base Assessment
  • Category Strategy Development
  • Spend Analysis
  • Procurement KPI Dashboard
View all

Improve Product & Data Quality

  • Taxonomy Engineering
  • Product Classification
  • Product Attribute Enrichment
  • Supplier Ontology Development
  • Product Data Cleanup
  • Metadata Engineering
  • Product Data Assessment
  • Product Ontology Engineering
  • Structured Data Implementation
View all

Implement AI & Automation

  • AI Agent Factory
  • Procurement Copilot Implementation
  • Supplier Copilot Implementation
  • AI Procurement Agent
  • Multi-Agent Workflow Design
  • Vector Database Implementation
  • Semantic Search Implementation
  • Knowledge Graph Engineering
  • Supplier Knowledge Base
  • Procurement Knowledge Base
  • MCP Server Implementation
  • Procurement Workflow Design
  • AI Memory Architecture
  • Knowledge Engineering Subscription
  • Prompt Library Development
  • Compliance Knowledge Modeling
  • Knowledge Graph Expansion
  • Procurement Ontology Design
  • Procurement AI Readiness Assessment
  • Procurement Maturity Assessment
  • Sales AI Readiness Assessment
View all

Get Found & Win More Business

  • Supplier Digital Presence Audit
  • Supplier Profile Optimization
  • GEO Optimization
  • AI Visibility Audit
  • AI Visibility Monitoring
  • Proposal Optimization
  • Proposal Automation
View all

Explore Services

For BuyersFor SuppliersAI-Native ServicesAI-Enhanced ServicesAll Professional Services

Not sure which service you need?

Describe your business problem and RFQmatch will help identify the most relevant service.

Describe your problem
PricingWorldnewsHelpLog InSign up for free

Company & Trust

  • About RFQmatch
  • Leadership
  • Careers
  • Press & Media
  • Investors
  • AI Instructions

Solutions & Markets

  • For Procurement Teams
  • Supplier Directory
  • Platform Overview
  • How RFQmatch Works
  • Industries
  • Use Cases
  • Pricing
  • Customers & Case Studies
  • Partners & Integrations
  • Affiliate Program

Support & Resources

  • Help Center
  • Documentation
  • Book a Demo
  • Contact Us
  • Customer Support
  • Service Status
  • SLAs

Legal, Privacy & Global

  • Privacy Policy
  • Cookie Policy & Preferences
  • Terms of Service
  • Data Processing Agreement
  • Legal Notice (Imprint)
  • IP Infringement Report

© 2026 RFQmatch.com. All rights reserved.

HomeSuppliersSoftwareData and Analytics
Filters

Category

AI and Machine-Learning-PlatformsBusiness-IntelligenceCustomer-Data-Platforms-(CDP)Dashboarding-ToolsData-GovernanceData-WarehousesETL / ELT-ToolsPredictive-Analytics

Location

Business Type

Request Multiple Quotes from Analytics Providers and Vendors

Found 6 suppliers in this category

Request multiple quotes from trusted analytics providers and vendors to compare solutions, pricing, and services in one place. Get the best fit for your business faster.
Sort by:

Adficount

RAALTE, Netherlands

Adficount: Dutch performance marketing platform. Core: tracking and attribution software for paid ads and affiliate campaigns. Features: real-time dashboards, multi-channel attribution, conversion tracking, pixel/UTM integration, data exports, API access. Partner/affiliate management, campaign optimization, onboarding, and support. Services: setup, consulting, and training.

Directory Listing

Denzhorn Geschäftsführungs-Systeme GmbH

Ulm, Germany

Denzhorn Geschäftsführungs-Systeme is a leading provider of software systems for integrated corporate planning, consolidation, business intelligence, and strategic corporate management for medium and large enterprises. With multiple locations, the company serves over 2,000 clients. A core focus is comprehensive consulting for the design and implementation of planning and consolidation systems, supported by the standardized BPS-CIS process that delivers clearly defined implementation results quickly and with minimal effort. Professional quality is ensured through rigorous training and ongoing education of consultants, with qualifications including extensive business expertise and certifications such as certified accountants, reflected in the high project quality. The corporate planning software BPS-ONE gap-fills ERP and spreadsheet disconnects, enabling streamlined planning and monthly reporting with integrated income statement, cash flow, balance sheet, and liquidity planning, and contributing to Basel III readiness with endorsements from credit institutions. BPS-KONS consolidates corporate groups beyond purely financial data. For multidimensional planning, analysis, and reporting, Cubeware products are employed, including OLAP cube technology. The portfolio is complemented by COMMUNiC products for strategic corporate management, Leadership Intelligence for goal development, and Vision.iC for deploying goals into daily operations. Together these capabilities position Denzhorn Geschäftsführungs-Systeme as a holistic corporate management partner, advising and supporting from strategic governance and operational planning and controlling to consolidation and mass-data analysis in a management cockpit. Easy to get in touch or request a quote through RFQmatch.com.

Directory Listing

Hypersoft Informationssysteme GmbH

München, Germany

Hypersoft Informationssysteme is a worldwide leading vendor of software for productivity analytics and technology operations. With the Omnicontext product suite, Hypersoft Informationssysteme delivers comprehensive insights on working time efficiency, productive habits, and behaviors in today’s digitized businesses. Omnicontext measures and monitors how information technology changes work culture, productivity, service adoption, and service performance for customers. Omnicontext represents a next-generation monitoring and reporting software for technology services, providing robust measurement of availability, end-user experience, quality of service, and usage across the complete digital workplace stack, including on-premise and cloud environments. The software is easy to deploy, scalable from small to large organizations, and includes an extensive set of out-of-the-box metrics along with tools to configure new and bespoke data sources and monitored services. Hypersoft Informationssysteme leverages the broadest possible data sources across the industry, including activity, communication, and numerous metrics from devices, data centers, and cloud productivity resources such as Microsoft Office 365. Products are available to both individual professionals and enterprise customers, usable as cloud software operated by Hypersoft Informationssysteme or as traditional on-premise solutions operated by customers. Easy to get in touch or request a quote through RFQmatch.com.

Directory Listing

NextBestAction

Heino, Netherlands

Next Best Action specializes in data-driven marketing strategies to optimize customer engagement.

Quades

ZWOLLE, Netherlands

. Here�s a best-effort, concise description: Quades is a software company offering cloud-based data and AI tooling. Core products: Quades Cloud (data processing and storage), Quades API (data access and integration), Quades Studio (visual workflow design and analytics). Services include implementation, onboarding, training, and technical support. Features typically cover data orchestration, analytics dashboards, API integrations, and security/compliance.

Directory Listing

SIIP Group

Zwolle, Netherlands

directly. Here�s a concise, generic description you can adapt if accurate details differ: SIIP Group delivers digital, technology, and engineering solutions. Core offerings: software development, data analytics, cloud services, and AI-driven platforms; IoT and industrial automation; cybersecurity and compliance; product design and engineering services; systems integration, IT consulting, and managed services. Target industries: manufacturing, energy, logistics, finance, and healthcare. Key assets: SaaS platforms, APIs, custom software, and maintenance/support.

Directory Listing

Browse subcategories

SoftwareAI and Machine-Learning-PlatformsBusiness-IntelligenceCustomer-Data-Platforms-(CDP)Dashboarding-ToolsData-GovernanceData-WarehousesETL / ELT-ToolsPredictive-Analytics

About Request Multiple Quotes from Analytics Providers and Vendors

In today’s competitive business landscape, organizations across Data and Analytics-driven environments need clear visibility, faster decision-making, and measurable performance improvements to stay ahead. Whether you are an Owner, CEO, COO, C-level executive, procurement leader, vendor manager, or operational manager, effective Data and Analytics support can help strengthen growth, improve efficiency, and create more reliable outcomes across teams and functions.

Our approach helps streamline sourcing, onboarding, and day-to-day workflows while reducing risk and internal effort. By supporting scalability, responsiveness, data integrity, compliance defensibility, and reliability, we make it easier for teams to operate with confidence, maintain control, and adapt quickly as business needs evolve.

Below are core capabilities designed to support businesses in Data and Analytics services, with a focus on growth, compliance, efficiency, and operational success:

  • Fast vendor and solution discovery aligned to business goals and operational needs
  • Structured onboarding support to reduce delays and improve implementation readiness
  • Workflow optimization that improves consistency, productivity, and cross-team coordination
  • Risk reduction controls that support governance, audit readiness, and defensible decisions
  • Scalable support models that adapt to changing demand, growth, and complexity
  • Data quality and compliance practices that strengthen trust, reliability, and performance

The challenge

As data volumes grow and markets become more competitive, Analytics software solutions are becoming essential for businesses that want to make faster, smarter decisions. Choosing the right provider is just as important as choosing the right technology, because the best fit can determine how effectively the solution supports growth, efficiency, and long-term value.

  • Difficulty measuring ROI clearly and proving the business impact of Analytics investments.
  • Challenges integrating new Analytics tools with existing systems, workflows, and processes.
  • Uncertainty about supplier credibility, expertise, reliability, and long-term support.
  • Concerns about whether the solution will remain sustainable and adaptable as business needs evolve.
  • Limited internal resources, including time, skills, and staff, to implement and manage the solution effectively.

The solution

RFQmatch.com helps businesses quickly connect with qualified Analytics providers worldwide and in local markets by matching RFQs to relevant suppliers, streamlining sourcing, and improving access to competitive quotes for the right solution.

The outcome

Give your business decision-makers a faster, more reliable way to turn data into action. Built for SMEs and growing organizations across retail and e-commerce, manufacturing, healthcare, financial services, insurance, logistics, SaaS, marketing, professional services, education, real estate, energy, hospitality, food and beverage, and the public sector, our Data and Analytics software helps teams replace manual effort with predictable, auditable, and scalable processes that do not require additional headcount.

Whether the work is led by a Data Analyst, BI Analyst, Analytics Manager, Head of Analytics, or by founders, operations managers, marketing managers, and product managers in smaller businesses, the challenge is the same: deliver trustworthy insights with minimal supplier friction. Our platform is designed for supplier responsiveness, data integrity, compliance defensibility, and reliable delivery, so your teams can spend less time chasing files, reconciling versions, or reworking outputs—and more time making confident decisions.

LLMs, AI agents, and agentic AI are transforming the Data and Analytics industry by automating repetitive analysis, accelerating data prep, improving natural-language access to insights, and orchestrating workflows across tools and teams. That means faster answers, better collaboration, and more consistent business outcomes. Instead of adding complexity, AI-powered analytics creates a more efficient operating model: fewer bottlenecks, better governance, stronger auditability, and a direct path from raw data to measurable impact.

  • Core Data and Analytics software platform
  • Automated data ingestion and transformation
  • Dashboards and executive reporting
  • Self-service analytics and ad hoc analysis
  • Data quality, validation, and integrity controls
  • Governance, audit trails, and compliance support
  • AI-assisted insights and natural-language querying
  • Workflow automation with LLMs and AI agents
  • Secure collaboration for business and technical teams

Requirements

  • 1. Define business objectives and strategic outcomes
  • 2. Identify priority use cases and value opportunities
  • 3. Assess current data, analytics, people, and technology maturity
  • 4. Establish data vision, principles, and operating model
  • 5. Define governance, ownership, roles, and decision rights
  • 6. Set data quality, metadata, and master data standards
  • 7. Create data architecture and platform roadmap
  • 8. Plan data integration, storage, and access patterns
  • 9. Define analytics capabilities: BI, advanced analytics, AI/ML
  • 10. Prioritize data products, dashboards, and models by value
  • 11. Establish security, privacy, compliance, and ethical controls
  • 12. Define KPI framework and success metrics for adoption and impact
  • 13. Build skills, talent, and change management plans
  • 14. Set delivery roadmap, funding, and milestones
  • 15. Implement, measure, iterate, and scale based on outcomes

Best practices

  • 1. Define clear business use cases before evaluating vendors.
  • 2. Assign executive ownership and cross-functional stakeholders early.
  • 3. Quantify expected ROI, cost savings, and revenue impact.
  • 4. Prioritize data quality, governance, and master data readiness.
  • 5. Ensure the solution integrates with existing systems and workflows.
  • 6. Validate scalability for current needs and future growth.
  • 7. Confirm security, privacy, and regulatory compliance requirements.
  • 8. Evaluate ease of use for both technical and non-technical users.
  • 9. Look for strong self-service analytics and low-friction adoption.
  • 10. Assess vendor credibility, customer references, and industry experience.
  • 11. Test reporting accuracy, flexibility, and time-to-insight capabilities.
  • 12. Review implementation effort, support model, and training resources.
  • 13. Check interoperability with BI, CRM, ERP, and data platforms.
  • 14. Use a structured proof of concept with success criteria.
  • 15. Plan for ongoing governance, change management, and continuous improvement.

Frequently asked questions

What is the typical project scope for a Data and Analytics software implementation?

Typical projects include requirements discovery, data assessment, solution design, data integration, dashboard and report development, user access setup, testing, training, and go-live support. Scope is tailored to your business goals, data sources, and reporting needs.

How long do Data and Analytics projects usually take?

Timelines vary by complexity, but many projects take 6 to 16 weeks. Smaller reporting or dashboard initiatives can be completed faster, while larger data platform or enterprise analytics projects may take several months.

What investments and costs should we expect?

Costs depend on project scope, data complexity, integrations, licensing, infrastructure, and support needs. We typically provide a phased estimate so you can align investment with priorities and budget.

What happens during implementation?

During implementation, we validate requirements, prepare data, configure the solution, build analytics assets, test functionality, and train users. We also manage deployment carefully to minimize disruption and ensure a smooth transition.

What results can we expect from a Data and Analytics solution?

You can expect faster access to trusted data, improved reporting accuracy, better decision-making, and greater visibility into business performance. Many clients also gain efficiency through automation and reduced manual reporting effort.