Every organization in the registry ranked by its fit to Namibian Institute of Mining and Technology (Educational institution, Tertiary education, Namibia), from 0 to 100%: how close it is in what it does, its industry, the distinctive parts both public maps hold, and size and region. Change the weights to rank by what matters to you; the link keeps them.
Educational institution · Tertiary education · Zambia
Education organization in Lusaka, Zambia
Very close in what it does · Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 90% | 63% | +56.7 |
| IndustrySame sector; both education on Wikidata | 67% | 32% | +21.2 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 78% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Educational institution · Tertiary education · Malawi
Education organization in Lilongwe, Malawi
Close in what it does · Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 82% | 63% | +52.0 |
| IndustrySame sector; both education on Wikidata | 67% | 32% | +21.2 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 73% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Educational institution · Tertiary education · Namibia
Public university in Windhoek, Namibia
Close in what it does · Same sector · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 73% | 63% | +46.4 |
| IndustrySame sector | 67% | 32% | +21.2 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.3 |
| Fit | 73% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Educational institution · Tertiary education · Japan
Organization
Close in what it does · Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 79% | 63% | +50.0 |
| IndustrySame sector | 67% | 32% | +21.2 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 71% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Educational institution · Tertiary education · Russia
Russian university
Close in what it does · Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 78% | 63% | +49.4 |
| IndustrySame sector | 67% | 32% | +21.2 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 71% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Education
Training and support organisation
Close in what it does · Shared kind: education
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 63% | 67% | +42.1 |
| Industryboth education on Wikidata | 85% | 33% | +28.4 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionNeither size, country nor business model known for both: left out. | n/a | — | — |
| Fit | 71% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Educational institution · Public universities · Senegal
Higher education institution in Senegal
Close in what it does · Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 75% | 63% | +47.2 |
| IndustrySame sector; both education on Wikidata | 67% | 32% | +21.3 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 69% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Educational institution · Tertiary education · Ivory Coast
University in côte d'ivoire
Close in what it does · Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 75% | 63% | +47.3 |
| IndustrySame sector; both education on Wikidata | 67% | 32% | +21.2 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 69% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Educational institution · Tertiary education · Ivory Coast
University in côte d'ivoire
Close in what it does · Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 69% | 63% | +43.7 |
| IndustrySame sector; both education on Wikidata | 77% | 32% | +24.3 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 68% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Educational institution · Tertiary education · Ivory Coast
University in côte d'ivoire
Close in what it does · Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 69% | 63% | +43.7 |
| IndustrySame sector; both education on Wikidata | 77% | 32% | +24.3 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 68% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Education · Ivory Coast
Public polytechnic in Yamoussoukro, Ivory Coast
Close in what it does · Shared kind: education
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 80% | 63% | +50.8 |
| Industryboth education on Wikidata | 53% | 32% | +16.8 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 68% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Educational institution · Public universities · Tanzania
University in Tanzania
Close in what it does · Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 82% | 63% | +52.0 |
| IndustrySame sector; both education on Wikidata | 50% | 32% | +15.6 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 68% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Association · Business and professional associations, unions · Namibia
Trade association in Namibia
Very close in what it does · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 99% | 63% | +62.3 |
| IndustryFiled apart in the atlas, no shared Wikidata kind. | 0% | 32% | +0.0 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.3 |
| Fit | 68% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Educational institution · Tertiary education · Gabon
University in Gabon
Close in what it does · Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 68% | 63% | +43.2 |
| IndustrySame sector; both education on Wikidata | 77% | 32% | +24.3 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 67% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Educational institution · Tertiary education · Malaysia
Private university
Close in what it does · Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 68% | 63% | +43.1 |
| IndustrySame sector; both education on Wikidata | 77% | 32% | +24.3 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 67% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Educational institution · Tertiary education · Costa Rica
Close in what it does · Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 61% | 63% | +38.3 |
| IndustrySame sector; both academic institution on Wikidata | 89% | 32% | +28.2 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 66% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Educational institution · Tertiary education · Tanzania
Private university in Tanzania
Close in what it does · Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 66% | 63% | +41.6 |
| IndustrySame sector; both education on Wikidata | 77% | 32% | +24.3 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 66% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Educational institution · Tertiary education · Latvia
Sporting university in Rīga, Latvia
Close in what it does · Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 69% | 63% | +43.8 |
| IndustrySame sector; both academic institution on Wikidata | 67% | 32% | +21.2 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 65% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Educational institution · Public universities · Kenya
Public university in Kenya
Close in what it does · Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 66% | 63% | +41.9 |
| IndustrySame sector; both education on Wikidata | 73% | 32% | +23.2 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 65% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Nonprofit · Nonprofits and civil society · India
Organisation
Close in what it does · Shared kind: education
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 62% | 63% | +39.0 |
| Industryboth education on Wikidata | 82% | 32% | +25.8 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 65% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Educational institution · Tertiary education · France
Tertiary education institute
Close in what it does · Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 69% | 63% | +43.3 |
| IndustrySame sector | 67% | 32% | +21.2 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 64% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Educational institution · Tertiary education · Norway
University in Northern Norway
Close in what it does · Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 68% | 63% | +43.1 |
| IndustrySame sector | 67% | 32% | +21.2 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 64% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Educational institution · Tertiary education · Israel
Israeli sports facility
Close in what it does · Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 68% | 63% | +43.0 |
| IndustrySame sector | 67% | 32% | +21.2 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 64% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Educational institution · Tertiary education · Liberia
University in Liberia
Close in what it does · Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 63% | 63% | +39.6 |
| IndustrySame sector; both education on Wikidata | 77% | 32% | +24.3 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 64% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Educational institution · Tertiary education · Netherlands
Educational institute in the Netherlands
Close in what it does · Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 68% | 63% | +42.7 |
| IndustrySame sector | 67% | 32% | +21.2 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 64% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Educational institution · Tertiary education · Senegal
Public university in Senegal
Close in what it does · Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 60% | 63% | +37.9 |
| IndustrySame sector; both education on Wikidata | 77% | 32% | +24.3 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 62% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 51% | 67% | +33.8 |
| Industryboth education on Wikidata | 85% | 33% | +28.4 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionNeither size, country nor business model known for both: left out. | n/a | — | — |
| Fit | 62% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Educational institution · Tertiary education · Russia
Russian university
Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 48% | 63% | +30.1 |
| IndustrySame sector; both academic institution on Wikidata | 99% | 32% | +31.2 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 61% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Educational institution · Tertiary education · Czech Republic
Close in what it does · Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 63% | 63% | +40.0 |
| IndustrySame sector; both education on Wikidata | 67% | 32% | +21.2 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 61% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Educational institution · Tertiary education · Eritrea
Eritrean institute of higher education
Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 52% | 63% | +32.6 |
| IndustrySame sector; both academic institution on Wikidata | 89% | 32% | +28.2 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 61% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Educational institution · Tertiary education · Democratic Republic of the Congo
University in the DRC (IAU-019749)
Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 46% | 63% | +29.0 |
| IndustrySame sector; both academic institution, education on Wikidata | 100% | 32% | +31.6 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 61% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Educational institution · Tertiary education · Russia
Education organization in Kazan’, Russia
Close in what it does · Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 62% | 63% | +39.0 |
| IndustrySame sector | 67% | 32% | +21.2 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 60% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Educational institution · Private not-for-profit universities · Brazil
Education institute in Brazil
Close in what it does · Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 72% | 63% | +45.8 |
| IndustrySame sector | 46% | 32% | +14.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 60% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Educational institution · Public universities · Namibia
Public university in Windhoek, Namibia
Close in what it does · Same sector · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 64% | 63% | +40.5 |
| IndustrySame sector | 46% | 32% | +14.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 5% | +5.3 |
| Fit | 60% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 60% | 63% | +37.8 |
| Industryboth education on Wikidata | 70% | 32% | +22.2 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 60% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesIt has no description of its own yet: left out, and the fit held to 60% at most. | n/a | — | — |
| Industryboth education on Wikidata | 85% | 100% | +85.3 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionNeither size, country nor business model known for both: left out. | n/a | — | — |
| Fit | 60% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference. Without a description of its own on both sides, nothing is claimed about what it does: the fit is held to 60% at most.
Educational institution · Tertiary education · Namibia
Same sector · Same country
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesIt has no description of its own yet: left out, and the fit held to 60% at most. | n/a | — | — |
| IndustrySame sector | 67% | 86% | +57.6 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry same · size not known for both · model not known for both. | 100% | 14% | +14.3 |
| Fit | 60% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference. Without a description of its own on both sides, nothing is claimed about what it does: the fit is held to 60% at most.
Educational institution · Tertiary education · Azerbaijan
Public university in Stepanakert, Nagorno-Karabakh
Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 55% | 63% | +34.9 |
| IndustrySame sector; both academic institution on Wikidata | 79% | 32% | +25.0 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 60% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Educational institution · Tertiary education · Nigeria
Federal polytechnic in Nigeria
Close in what it does · Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 61% | 63% | +38.7 |
| IndustrySame sector | 67% | 32% | +21.2 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 60% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Educational institution · Tertiary education · Belarus
An institute of higher learning in Minsk, Belarus
Close in what it does · Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 61% | 63% | +38.2 |
| IndustrySame sector | 67% | 32% | +21.2 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 59% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Education · United States
Education question and answer platform
Shared kind: education
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 51% | 63% | +32.0 |
| Industryboth education on Wikidata | 84% | 32% | +26.6 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 59% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Educational institution · Tertiary education · Russia
Education organization in Omsk, Russia
Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 59% | 63% | +37.1 |
| IndustrySame sector | 67% | 32% | +21.2 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 58% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Educational institution · Private not-for-profit universities · United States
Close in what it does · Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 69% | 63% | +43.7 |
| IndustrySame sector | 46% | 32% | +14.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 58% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Educational institution · Tertiary education · Ukraine
Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 58% | 63% | +36.9 |
| IndustrySame sector | 67% | 32% | +21.2 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 58% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Educational institution · Tertiary education · Russia
Education organization in Moscow, Russia
Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 58% | 63% | +36.7 |
| IndustrySame sector | 67% | 32% | +21.2 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 58% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Educational institution · University systems and governing boards · Rwanda
University located in Rwanda in Gasabo district
Close in what it does · Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to Namibian Institute of Mining and Technology's, against an ordinary organization. | 69% | 63% | +43.3 |
| IndustrySame sector | 46% | 32% | +14.5 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 58% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesIt has no description of its own yet: left out, and the fit held to 60% at most. | n/a | — | — |
| IndustrySame sector | 67% | 86% | +57.6 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 14% | +0.0 |
| Fit | 58% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference. Without a description of its own on both sides, nothing is claimed about what it does: the fit is held to 60% at most.
Educational institution · Tertiary education · United States
The IRS classifies Daemen University under NTEE B42 (major group B, Education).
Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesIt has no description of its own yet: left out, and the fit held to 60% at most. | n/a | — | — |
| IndustrySame sector | 67% | 86% | +57.6 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 14% | +0.0 |
| Fit | 58% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference. Without a description of its own on both sides, nothing is claimed about what it does: the fit is held to 60% at most.
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesIt has no description of its own yet: left out, and the fit held to 60% at most. | n/a | — | — |
| IndustrySame sector | 67% | 86% | +57.6 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 14% | +0.0 |
| Fit | 58% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference. Without a description of its own on both sides, nothing is claimed about what it does: the fit is held to 60% at most.
Educational institution · Tertiary education · United States
The IRS classifies Excelsior University under NTEE B42 (major group B, Education).
Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesIt has no description of its own yet: left out, and the fit held to 60% at most. | n/a | — | — |
| IndustrySame sector | 67% | 86% | +57.6 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 14% | +0.0 |
| Fit | 58% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference. Without a description of its own on both sides, nothing is claimed about what it does: the fit is held to 60% at most.
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesIt has no description of its own yet: left out, and the fit held to 60% at most. | n/a | — | — |
| IndustrySame sector | 67% | 86% | +57.6 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 14% | +0.0 |
| Fit | 58% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference. Without a description of its own on both sides, nothing is claimed about what it does: the fit is held to 60% at most.
Educational institution · Tertiary education · United States
The IRS classifies Life University Inc under NTEE B43 (major group B, Education).
Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesIt has no description of its own yet: left out, and the fit held to 60% at most. | n/a | — | — |
| IndustrySame sector | 67% | 86% | +57.6 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 14% | +0.0 |
| Fit | 58% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference. Without a description of its own on both sides, nothing is claimed about what it does: the fit is held to 60% at most.
Educational institution · Tertiary education · United States
The IRS classifies Lindsey Wilson University Inc under NTEE B43 (major group B, Education).
Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesIt has no description of its own yet: left out, and the fit held to 60% at most. | n/a | — | — |
| IndustrySame sector | 67% | 86% | +57.6 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 14% | +0.0 |
| Fit | 58% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference. Without a description of its own on both sides, nothing is claimed about what it does: the fit is held to 60% at most.
Educational institution · Tertiary education · United States
The IRS classifies Marietta College under NTEE B42 (major group B, Education).
Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesIt has no description of its own yet: left out, and the fit held to 60% at most. | n/a | — | — |
| IndustrySame sector | 67% | 86% | +57.6 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 14% | +0.0 |
| Fit | 58% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference. Without a description of its own on both sides, nothing is claimed about what it does: the fit is held to 60% at most.
Educational institution · Tertiary education · United States
The IRS classifies Meredith College under NTEE B43 (major group B, Education).
Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesIt has no description of its own yet: left out, and the fit held to 60% at most. | n/a | — | — |
| IndustrySame sector | 67% | 86% | +57.6 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 14% | +0.0 |
| Fit | 58% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference. Without a description of its own on both sides, nothing is claimed about what it does: the fit is held to 60% at most.
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesIt has no description of its own yet: left out, and the fit held to 60% at most. | n/a | — | — |
| IndustrySame sector | 67% | 86% | +57.6 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 14% | +0.0 |
| Fit | 58% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference. Without a description of its own on both sides, nothing is claimed about what it does: the fit is held to 60% at most.
Educational institution · Tertiary education · United States
The IRS classifies The Masters University and Seminary under NTEE B42 (major group B, Education).
Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesIt has no description of its own yet: left out, and the fit held to 60% at most. | n/a | — | — |
| IndustrySame sector | 67% | 86% | +57.6 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 14% | +0.0 |
| Fit | 58% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference. Without a description of its own on both sides, nothing is claimed about what it does: the fit is held to 60% at most.
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesIt has no description of its own yet: left out, and the fit held to 60% at most. | n/a | — | — |
| IndustrySame sector | 67% | 86% | +57.6 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 14% | +0.0 |
| Fit | 58% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference. Without a description of its own on both sides, nothing is claimed about what it does: the fit is held to 60% at most.
Educational institution · Tertiary education · United States
The IRS classifies University of Pikeville under NTEE B42 (major group B, Education).
Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesIt has no description of its own yet: left out, and the fit held to 60% at most. | n/a | — | — |
| IndustrySame sector | 67% | 86% | +57.6 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 14% | +0.0 |
| Fit | 58% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference. Without a description of its own on both sides, nothing is claimed about what it does: the fit is held to 60% at most.
Educational institution · Tertiary education · United States
The IRS classifies Wittenberg College Board of Directors under NTEE B42 (major group B, Education).
Same sector
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesIt has no description of its own yet: left out, and the fit held to 60% at most. | n/a | — | — |
| IndustrySame sector | 67% | 86% | +57.6 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 14% | +0.0 |
| Fit | 58% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference. Without a description of its own on both sides, nothing is claimed about what it does: the fit is held to 60% at most.
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