Nursery
Little Rainbow Day Nursery | Ofsted Reports, Reviews (2025)
Little Rainbow Day Nursery
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Little Rainbow Day Nursery
- Nursery
- Lewisham SE6 1TH
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Ofsted report
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| Effectiveness of leadership and management | Good |
| Quality of teaching, learning and assessment | Good |
| Personal development, behaviour and welfare | Good |
| Outcomes for children | Good |
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Diverse Books and Toys: A wide range of toys and resources are arranged at low level so that they are easily accessible for children to choose from.
Indoor and Outdoor Facilities: The environment is well organised to meet the needs of all children attending the setting.
Activities: Staff plan many interesting science activities.
Skills , Knowledge and Behavior: Children learn to write during adult-led activities, but they do not have opportunities to practise these skills during free play.
Communication: Parents express confidence in the management team and recognise the support it gives to staff.
Welcoming and Professional Staff: The staff team is polite and supportive of each other. Staff are good role models for children.
Safeguarding Training: Staff know what action to take should they consider a child to be at risk.
Play and Learning Integration: Children enjoy books and reading. They share books with staff and choose to look at books independently.
Transition to Primary School: Pre-school children show high levels of concentration when participating in group activities.
Diversity Management: Babies who are learning English as an additional language quickly develop communication skills.
Child Safety Management: Daily health and safety checks are undertaken. Steps are taken to minimise any potential hazards.
Children's Safety and Security: Children are happy and secure. They form strong bonds with their key person.
Happiness and Settling: Children are happy and secure.
Nutritional Menu: Children learn how to stay healthy.
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About Us
Little Rainbow Day Nursery is a Nursery, Nursery located in Greater London, London.
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From the Little Rainbow 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 skilled engineers who produce all of the hardware and software in-house at 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 global 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 core 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 demand.
By opening sales offices in a number of nations, including the United Kingdom, the United States, Hong Kong, and Malaysia, FootfallCam increases its footprint across 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 objects 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 skilled engineers who produce all of the hardware and software in-house at 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 global 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 core 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 demand.
By opening sales offices in a number of nations, including the United Kingdom, the United States, Hong Kong, and Malaysia, FootfallCam increases its footprint across 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 objects 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.
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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 | 7th Apr 2025 - 21st Apr 2025 |
| Summer Half Term Holidays | 26th May 2025 - 30th May 2025 |
| Summer Holidays | 23rd 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 - 6th Apr 2025 |
| Summer Term | 22nd Apr 2025 - 25th May 2025 |
| Summer Term-2 | 31st May 2025 - 22nd Jul 2025 |
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