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Analysis of how the company landscape is changing

Data-backed analysis on shifts in the company landscape: market dynamics, emerging patterns, and signals that shape strategic decisions.

Company & Business Data10 hours ago

Coresignal Alternatives for Company Data at Scale

Not every team that outgrows Coresignal needs the same data. Six Coresignal alternatives compared by data sources, coverage, refresh and pricing.

SG
Stefan Gergely
Stefan Gergely
Risk, Fraud & Due Diligenceyesterday

How Credit Rating Agencies Can Use Alternative Data When Private Company Financials Are Sparse

Alternative data for credit scoring keeps a private-company credit view current between filings, using activity, headcount, and hiring.

AT
Auras Tanase
Auras Tanase
Risk, Fraud & Due Diligence3 days ago

How to Prioritize Surveillance Alerts Across Thousands of Issuers

How credit rating surveillance teams can score alerts by magnitude, persistence and data confidence, and run a queue analysts actually trust.

SG
Stefan Gergely
Stefan Gergely
Risk, Fraud & Due Diligence3 days ago

7 Customer Risk Analysis Mistakes That Hide Borrower Deterioration

Financial updates catch credit deterioration too late. See 7 customer risk analysis mistakes, including a governance blind spot, and how to fix them.

SG
Stefan Gergely
Stefan Gergely
Risk, Fraud & Due Diligence4 days ago

How Credit Rating Agencies Map the Relevant Group Parent and Group Members Before Analysis

Rating agencies map the group parent and members with an entity graph: a full ownership tree, entity types, link confidence and continuous updates.

AT
Auras Tanase
Auras Tanase
Data Quality, Enrichment & MDM6 days ago

How to Integrate a Company Financial Data API into Credit Risk Models

Connecting a company financial data API to a credit risk model takes entity matching, period alignment and point-in-time snapshots.

SG
Stefan Gergely
Stefan Gergely
Data Quality, Enrichment & MDM6 days ago

5 Credit Risk Assessment Mistakes Caused by Bad Company Data

Bad company data derails credit risk assessment, from registry lag to entity mismatches. Five common mistakes and how better data fixes them.

AT
Auras Tanase
Auras Tanase
Risk, Fraud & Due Diligencelast week

From Annual Review to Continuous Credit Risk Assessment

How continuous credit risk assessment works in practice: setting a baseline, choosing refresh cadence, defining triggers and routing changes.

SG
Stefan Gergely
Stefan Gergely
Market & Competitive Intelligencelast week

From Millions of Companies to a Shortlist of 50: A Data-Driven Approach to VC Deal Sourcing

Data-driven VC deal sourcing starts with 134 million companies and narrows them with firmographic filters and growth signals to a shortlist of 50.

AT
Auras Tanase
Auras Tanase
Risk, Fraud & Due Diligencelast week

Point-in-Time Credit Estimates vs. Monitored Private Ratings: Different Data Requirements

We will explore point-in-time credit estimates vs monitored private ratings and show how data collection, updates, and monitoring needs will change.

SG
Stefan Gergely
Stefan Gergely
Risk, Fraud & Due Diligence2 weeks ago

Private Credit Ratings vs. Credit Estimates: What Changes in the Data Workflow?

In this article, you will learn how private credit ratings vs credit estimates will differ in data requirements, validation, and evidence workflows.

AT
Auras Tanase
Auras Tanase
Data Quality, Enrichment & MDM2 weeks ago

Data Lineage for Credit Ratings: Building a Traceable Evidence Chain

How credit rating data lineage works in practice: capturing provenance, entity identifiers, transformations and overrides.

SG
Stefan Gergely
Stefan Gergely
Risk, Fraud & Due Diligence2 weeks ago

How to Build Comparable Peer Groups for Private Company Credit Analysis

This article will explain how to create peer groups for private company credit analysis and improve benchmarking when financial disclosure is limited.

AT
Auras Tanase
Auras Tanase
Company & Business Data2 weeks ago

How to Design Sales Territories Using Firmographic Data (Without Leaving Money on the Table)

A step-by-step approach to sales territory design using firmographic data, from scoring accounts to balancing revenue potential across reps.

SG
Stefan Gergely
Stefan Gergely
Risk, Fraud & Due Diligence2 weeks ago

How to Assess Credit Risk for Private Companies with Limited Financial Disclosure

Credit risk assessment for private companies with thin disclosure means grading evidence, verifying identity and scale.

AT
Auras Tanase
Auras Tanase
Procurement & Sourcing2 weeks ago

How to Find Local B2B Suppliers in France Using AI Taxonomies

Structured supplier taxonomies show how to find suppliers in France across regional clusters, then qualify, score, contact and monitor them with AI.

SG
Stefan Gergely
Stefan Gergely
Procurement & Sourcing2 weeks ago

How to Find Local B2B Suppliers in Romania Using AI Taxonomies

Procurement teams wondering how to find suppliers in Romania can use AI taxonomies to map regional hubs, score candidates and keep monitoring them.

AT
Auras Tanase
Auras Tanase
ESG & Sustainability2 weeks ago

Promises vs. Actions: Tracking Real-Time ESG News to Expose Corporate Greenwashing

We will explore how real-time ESG news for greenwashing will help track corporate behavior and identify inconsistencies in sustainability commitments.

SG
Stefan Gergely
Stefan Gergely
ESG & Sustainability3 weeks ago

Auditing Supply Chain Scope 3 Emissions Without Surveying Suppliers

Looking into auditing Scope 3 emissions? This guide will explain how companies can assess supply chain emissions without relying on supplier surveys.

AT
Auras Tanase
Auras Tanase
AI & Automation in Data3 weeks ago

How Automated Company Profiling Works: From Entity Match to Structured Company Intelligence

SG
Stefan Gergely
Stefan Gergely
Company & Business Data3 weeks ago

Why Chinese Company Data Is So Hard to Source

Why Chinese company data is hard to source: fragmented provincial registries, romanization mismatches, VIE ownership structures and stale filings.

AT
Auras Tanase
Auras Tanase
Data Quality, Enrichment & MDM3 weeks ago

Industry Code Mapping: How to Reconcile NAICS, SIC, NACE, and Internal Taxonomies

Industry code mapping reconciles NAICS, SIC, NACE and internal taxonomies through a master standard, validated crosswalks and one company identity.

SG
Stefan Gergely
Stefan Gergely
Industry & Location Intelligence3 weeks ago

Peer Group Drift: When Static Industry Classification Breaks Credit Comparability

We will explore peer group drift in credit analysis and show how outdated industry classifications can distort issuer benchmarking and comparability.

AT
Auras Tanase
Auras Tanase
Procurement & Sourcing3 weeks ago

How to Find Local B2B Suppliers in Canada Using AI Taxonomies

Tired of struggling to find local B2B suppliers in Canada? Discover how to find suppliers in Canada using AI supplier finder Canada.

AT
Auras Tanase
Auras Tanase
Market & Competitive Intelligence3 weeks ago

Competitive Intelligence on Autopilot: Tracking Rival Expansion Through Company-Level Data

Tired of manual rival expansion tracking? Automate your competitive intelligence with company-level data and stay ahead of market shifts.

SG
Stefan Gergely
Stefan Gergely
Market & Competitive Intelligence4 weeks ago

How to Map Your Competitor's Customer Base Using Firmographic Data

Tired of guessing who your competitors' customers are? Uncover their client base with firmographic data providers and gain a strategic advantage.

AT
Auras Tanase
Auras Tanase
Company & Business Data4 weeks ago

Is Your Territory Plan Fair? How Firmographic Balancing Fixes Rep Inequality

Tired of unequal sales territories? Firmographic balancing can fix rep inequality. Discover how firmographic data providers help create fair plans.

SG
Stefan Gergely
Stefan Gergely
Company & Business Data4 weeks ago

ABM Without Guesswork: 5 Firmographic Filters That Separate Tier-1 Accounts from Noise

Tired of sifting through endless leads? Uncover the 5 essential firmographic filters that pinpoint your Tier-1 accounts.

AT
Auras Tanase
Auras Tanase
Data Quality, Enrichment & MDM4 weeks ago

The CRM Hygiene Playbook: How to Keep Firmographic Records Clean Without Manual Work

Tired of messy firmographic data? This playbook reveals how to maintain clean firmographic records without tedious manual work.

SG
Stefan Gergely
Stefan Gergely
Data Quality, Enrichment & MDM4 weeks ago

6 Issuer Data Quality Checks Before a Case Reaches the Rating Committee

Tired of rating committee delays? Ensure top-notch issuer data quality with 6 essential checks. Avoid costly errors and streamline your process.

AT
Auras Tanase
Auras Tanase
Third-Party & Vendor Risk4 weeks ago

Why Corporate Family Trees Matter in Risk Assessment

How can corporate family tree data revolutionize your risk assessment? Uncover the hidden connections that impact your business's security.

SG
Stefan Gergely
Stefan Gergely
Risk, Fraud & Due Diligencelast month

How to Verify Business Addresses and Company Status in Vietnam

Tired of uncertainty? Learn how to find business addresses and verify company status in Vietnam with our expert guide. Avoid costly mistakes.

AT
Auras Tanase
Auras Tanase
Newslast month

Global crises expose the limits of traditional market intelligence as Veridion raises $20 million to expand real-time map of the world's businesses

Series A investment will accelerate the development of Veridion's AI-powered digital replica of the world's 640 million businesses, helping market intelligence providers, financial institutions, insurers, and procurement teams understand commercial change as it happens

SG
Stefan Gergely
Stefan Gergely
Market & Competitive Intelligencelast month

How Private Equity Firms Use Firmographic Filters to Build Smarter Deal Pipelines

Tired of sifting through endless leads? See how private equity firms leverage firmographic data providers to pinpoint high-value deals.

SG
Stefan Gergely
Stefan Gergely
Risk, Fraud & Due Diligencelast month

How to Verify Business Addresses and Company Status in Germany

Tired of uncertainty? Learn how to find business addresses and verify company status in Germany with our expert guide.

AT
Auras Tanase
Auras Tanase
Company & Business Datalast month

Firmographic Fit vs Buying Readiness: Why the Best B2B Teams Use Both

In this article, you will learn how firmographic fit vs buying readiness helps B2B teams identify accounts that are both relevant and ready to buy.

SG
Stefan Gergely
Stefan Gergely
Data Quality, Enrichment & MDMlast month

How Fast Does Firmographic Data Decay (and What Can You Do About It?)

How fast does firmographic data decay? Combat B2B data freshness issues and find reliable firmographic data providers.

AT
Auras Tanase
Auras Tanase
Company & Business Datalast month

Firmographic Data Providers Compared: What to Look for Beyond Company Count

Tired of inaccurate firmographic data? See how top firmographic data providers compare beyond just company count.

SG
Stefan Gergely
Stefan Gergely
Company & Business Datalast month

What Is Firmographic Data? A Plain-English Guide for B2B Teams

What is firmographic data? Understand the essential B2B data points that drive sales and marketing success. Find top firmographic data providers.

AT
Auras Tanase
Auras Tanase
Procurement & Sourcinglast month

How to Find Local B2B Suppliers in Germany Using AI Taxonomies

Tired of endless searching? Find local B2B suppliers in Germany with AI taxonomies. Streamline your sourcing and boost your business.

SG
Stefan Gergely
Stefan Gergely
Risk, Fraud & Due Diligencelast month

Automating KYB for Micro-Businesses: Overcoming Official Registry Gaps

In this article, you will learn how automated KYB for micro-businesses can help overcome official registry gaps and improve business verification.

SG
Stefan Gergely
Stefan Gergely
Company & Business Datalast month

What Do You Really Get in a Bulk Company Data Download?

Uncover what's truly inside a bulk company data download. Get the essential details you need to make informed decisions and gain a competitive edge.

AT
Auras Tanase
Auras Tanase
Company & Business Datalast month

When Firmographics Aren't Enough: How to Know It's Time to Layer in Behavioral Data

Tired of firmographic data providers falling short? Discover when to layer in behavioral data for a complete customer picture.

AT
Auras Tanase
Auras Tanase
Data Quality, Enrichment & MDMlast month

5 Firmographic Data Accuracy Problems That Silently Kill Your Pipeline

In this article, you will learn five firmographic data accuracy problems that can weaken your pipeline and lead to poor targeting and prioritization.

SG
Stefan Gergely
Stefan Gergely
Industry & Location Intelligencelast month

What Counts as True Facility-Level Data?

What truly defines facility-level data? Uncover the critical internal variety switch and ensure your data accuracy for better decision-making.

AT
Auras Tanase
Auras Tanase

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