Nursery
Mumbles Day Nursery | Ofsted Reports, Fees, Reviews (2025)
Mumbles Day Nursery
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Mumbles Day Nursery
- Nursery
- Stone ST15 0EQ
1 schools in compare list
Ofsted report
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| The quality of education | Good |
| Behaviour and attitudes | Good |
| Personal development | Good |
| Leadership and management | Good |
| Overall effectiveness at previous inspection | Good |
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Diverse Books and Toys: Children access a wide range of resources
Indoor and Outdoor Facilities: The nursery environment is clean and safe
Activities: Children explore sand, water and play dough independently
Skills , Knowledge and Behavior: Staff support children's emotional development well, which promotes good levels of behaviour
Community Building: Parents are invited to regular curriculum workshops
Communication: Staff share plenty of information with parents about children's care and well-being
Programs and Resources: All children, especially those with special educational needs and/or disabilities, receive the support they need to ensure they make good progress
Welcoming and Professional Staff: Managers welcome them at the door, and staff collect their key children
Safeguarding Training: Staff undertake routine safeguarding training, and managers ensure they are regularly updated
Play and Learning Integration: Babies and toddlers explore a number of sensory opportunities
Child Safety Management: The nursery environment is clean and safe
Children's Safety and Security: They establish good bonds with children. This helps children to develop confidence and independence
Teaching Personal Safety: Staff know how to raise concerns with the nursery designated safeguarding leads
Happiness and Settling: Children enjoy their time at this nursery
Nutritional Menu: Pre-school children learn about healthy lifestyles by taking part in the nursery 'farm to fork' initiative
Historical Ofsted reports
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About Us
Mumbles Day Nursery is a Nursery, Nursery located in Staffordshire, West Midlands.
This nursery accepts children from 0-5 years old.
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Mumbles Day Nursery
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From the Mumbles Day Nursery
FootfallCam, a privately held firm that was founded in 2002, is the top provider of solutions for counting people worldwide.
We have a team of highly competent engineers that produce all of the hardware and software in-house in our U.K. headquarters, using their specialties to address business problems over time.
We have tirelessly serviced organisations all over the world in industries ranging from retail, fast food restaurants, and museums to smart buildings and airports, for more than ten years, with the help of a worldwide network of reseller partners and ongoing effort in research and development.
Research and development (R&D) is important to our business and is a key component of our fundamental strategy.
We have an internal R&D team devoted to the creation of FootfallCam's hardware and software.
FootfallCam is able to maintain its position at the forefront of the people counting market through constant product development.
Our main product, FootfallCam 3D Max, was successfully created because to our creative approach to product development.
We are the first company in the world to integrate Wi-Fi analytics and people counts into a single device.
We are dedicated to upholding our position as the industry leader by providing the level of strategic insight that our clients need.
By opening sales offices in a number of nations, including the United Kingdom, the United States, Hong Kong, and Malaysia, FootfallCam increases its footprint around the globe.
FootfallCam has established sales offices in more than 100 nations, including Ireland, France, Italy, Spain, the United Arab Emirates, South Africa, Thailand, Singapore, Indonesia, Germany, Australia, and others. In addition, it has built up a solid partner network.
We have created hardware and software for solutions involving people counting for more than 100 years.
Stereoscopic (3D image processing) being able to discern intelligently between a human and non-human things and follow a walking human's course of travel.
Support Vector Machine (SVM) neural network modelling is used in artificial intelligence to train our machines to recognise objects.
Read more
We have a team of highly competent engineers that produce all of the hardware and software in-house in our U.K. headquarters, using their specialties to address business problems over time.
We have tirelessly serviced organisations all over the world in industries ranging from retail, fast food restaurants, and museums to smart buildings and airports, for more than ten years, with the help of a worldwide network of reseller partners and ongoing effort in research and development.
Research and development (R&D) is important to our business and is a key component of our fundamental strategy.
We have an internal R&D team devoted to the creation of FootfallCam's hardware and software.
FootfallCam is able to maintain its position at the forefront of the people counting market through constant product development.
Our main product, FootfallCam 3D Max, was successfully created because to our creative approach to product development.
We are the first company in the world to integrate Wi-Fi analytics and people counts into a single device.
We are dedicated to upholding our position as the industry leader by providing the level of strategic insight that our clients need.
By opening sales offices in a number of nations, including the United Kingdom, the United States, Hong Kong, and Malaysia, FootfallCam increases its footprint around the globe.
FootfallCam has established sales offices in more than 100 nations, including Ireland, France, Italy, Spain, the United Arab Emirates, South Africa, Thailand, Singapore, Indonesia, Germany, Australia, and others. In addition, it has built up a solid partner network.
We have created hardware and software for solutions involving people counting for more than 100 years.
Stereoscopic (3D image processing) being able to discern intelligently between a human and non-human things and follow a walking human's course of travel.
Support Vector Machine (SVM) neural network modelling is used in artificial intelligence to train our machines to recognise objects.
Admission
Holidays & terms
Holidays 2024/25
| Holidays | Date |
|---|---|
| Autumn Half Term Holidays | 28th Oct 2024 - 1st Nov 2024 |
| Winter Holidays | 23rd Dec 2024 - 3rd Jan 2025 |
| Spring Half Term Holidays | 17th Feb 2025 - 21st Feb 2025 |
| Spring Holidays | 14th Apr 2025 - 25th Apr 2025 |
| Summer Half Term Holidays | 26th May 2025 - 30th May 2025 |
| Summer Holidays | 22nd Jul 2025 - 29th Aug 2025 |
Terms Dates 2024/25
| Terms | Dates |
|---|---|
| Autumn Term | 2nd Sep 2024 - 27th Oct 2024 |
| Autumn Term-2 | 2nd Nov 2024 - 22nd Dec 2024 |
| Spring Term | 4th Jan 2025 - 16th Feb 2025 |
| Spring Term-2 | 22nd Feb 2025 - 13th Apr 2025 |
| Summer Term | 26th Apr 2025 - 25th May 2025 |
| Summer Term-2 | 31st May 2025 - 21st Jul 2025 |
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