How German Business Review verifies Mittelstand, industry, technology, finance, infrastructure and regional business research.
German Business Review connects national statistics with company and project-level evidence. It does not treat the Mittelstand as a simple employee threshold, or describe infrastructure announced for a future year as capacity available today.
Destatis, Deutsche Bundesbank, Bundesnetzagentur, DPMA, KfW, federal and state authorities, municipal statistics and company filings are preferred sources. Business surveys are useful measures of reported conditions and expectations, but they are not substituted for output, investment or employment data.
Primary-source hierarchy
Sources are chosen according to the subject and the claim being made. The following source types normally receive priority, with the most specific underlying document preferred over a general summary.
- Destatis national, sector and enterprise statistics
- Deutsche Bundesbank financial, credit and economic research
- Bundesnetzagentur and other federal or state regulator documentation
- DPMA, KfW, municipal statistics and public research institutions
- Company annual reports, filings, investor material and project announcements
Core research rules
Mittelstand and SME definitions
A statistical SME threshold and the broader German Mittelstand ownership model are not interchangeable. Articles state which definition they use. Family ownership or private control is not presented as proof of quality, resilience or innovation.
Industrial and company evidence
Orders, revenue, backlog, capital expenditure and cash flow belong to different periods and accounting concepts. Company guidance is kept separate from reported results. Supplier exposure and customer concentration require evidence rather than assumptions based on industry labels.
Infrastructure and data centres
Announced, planning, permitted, under construction and operating projects are separate stages. MW, MVA, investment programme value and long-term campus potential are retained in their original units rather than added into a false total.
Cities and regional clusters
Municipality, metropolitan region and Land statistics are kept separate. A company or research institution can belong to a wider cluster without being physically located inside the named city.
Dataset and permanent-reference rules
German Data Centre Tracker
Projects require a German location and credible operator, authority or high-quality market evidence. Where capacity is disclosed in MVA, GBR does not assume a power factor to manufacture an MW figure. Stage and disclosed scale are maintained separately.
Mittelstand and company research
Succession intentions are not treated as completed transfers. Private-company estimates are labelled, and company rankings state the financial year, ownership definition and comparison basis.
Review dates, corrections and refreshes
German reference pages are reviewed when official releases, project stages, filings or financing conditions materially change. Provisional statistics and later revisions remain visible in their proper period. Review dates are not changed for cosmetic edits.
Where a material factual error is identified, the correction process follows the Editorial Standards. Research pages are not given a newer date simply to create an appearance of freshness.
Network-wide quality gate
A publication-wide quality gate for research, rankings, explainers and evidence-led reporting. New pages should add verifiable information, structure or analysis that a reader could not obtain by merely restating the same source material.
Add a new fact, comparison or structure
Every authority page should contribute at least one material element beyond a generic summary: an original dataset, a ranked or normalised comparison, a historical series, a project-stage classification, a source reconciliation, a geographic breakdown, or a clearly reasoned synthesis across multiple sources.
Prefer primary evidence
Company filings, regulators, government datasets, official project disclosures, investor materials and other first-party records should establish factual claims wherever practical. Secondary reporting can add context, challenge claims or fill gaps, but should not replace an available primary source without a reason.
Preserve provenance
Numbers must retain their observation date, source and qualification. Announced investment is not treated as completed spending, planned capacity is not operating capacity, and group-wide figures are not silently assigned to one site, country or subsidiary.
Make definitions explicit
Rankings, trackers and databases must explain what is included, what is excluded and how ambiguous categories are handled. Terms such as largest, capacity, investment, employer, headquarters, analyst consensus and project stage should be operationally defined.
Show uncertainty instead of inventing precision
Missing values remain missing unless a defensible calculation is explicitly labelled. Estimates, ranges and inferred values must be distinguished from disclosed figures. Conflicting sources should be surfaced rather than averaged into false certainty.
Keep a time dimension
Materially changing subjects should retain review dates, historical observations or event histories so readers and machines can distinguish a current state from a previous disclosure.
Connect the evidence graph
High-value pages should link to the relevant authority hub, supporting analysis, persistent entities, methodology and primary-source evidence. New pages should strengthen an existing topic graph rather than exist as isolated search landings.
Do not publish thin variants
A new page should not exist solely because a keyword has a slightly different wording. Overlapping intent should be consolidated into the strongest canonical resource unless the new page has a genuinely different dataset, audience task, geography, time frame or analytical question.
Publication gate before a new authority URL is created
- What verifiable information or structure does this page add that is not already present elsewhere in the archive?
- Can the important quantitative claims be traced to a source and observation date?
- Are scope, definitions and exclusions clear enough for another analyst to reproduce the classification?
- Does the page distinguish disclosed facts from estimates, interpretation and commentary?
- Does the page belong to an existing authority cluster and link back into that cluster?
- Would merging this material into an existing canonical page produce a better resource than publishing a separate URL?
Default decision: if a proposed page cannot clear these questions, the preferred action is to strengthen, update or consolidate an existing canonical resource instead of publishing another thin URL.