Data Mining & Analytics (Centre Operations)
Help preschool operators analyse daily operational data. The system provides insights into parent preferences, predicts student dropout rates, and enables family profiling, supporting data-driven decisions for improved business management.
Please review all requirements. Your solution must meet all 🔴 mandatory requirements to qualify.
4.01🔴
Does your solution allow for cloud based, mobile based and/or web-based usage?
4.02🔴
Centre Operations Does your solution allow data mining and analytics for the following aspects in preschool centre operations and include, but not limited to: a) Parent Management - Help centres better understand parents' preferences for communication, enrolment, payment, online Home-Based Learning (HBL) content development, etc. For example, (i) Prospecting of parent communication content, mode, frequency, etc based on their historical preference, viewing habits, responses made. (ii) Use AI (if applicable) to forecast dropout rates to prepare the centre for replacement intake (iii) Ability to profile parents and grandparents based on income, residence type, etc
4.03
b) Staff Management - Identify behaviour and trends associated with staff with a focus on educators, centre leaders as the workforce, staff retention, smarter deployment, delegation of workload, etc. For example, (i) ability to perform Staff Profiling to increase retention and better identify traits of prospective applicants (based on data points like distance from home to workplace, employment history, age, past employers, expected salaries, etc). Secondary data points can include: - Tracked staffs' duration in service - Performance charts over the course of service - Recommendation/Forecast by AI (if applicable) on possible secondary duties which tap on staff's strength, passion areas based on the above - Workload (i.e. special assignments and projects) (ii) Automated data for industry benchmarking if specific operators want to share selected information
4.04
c) Health & Safety Management - Enhance centre health & safety management capabilities (e.g. infectious disease seasonal patterns, cleaning and disinfection planning/scheduling, visitor management etc based on data like MC rates, infection occurrences, attendance and temperature records, areas and objects with high touchpoints, etc). Examples include: (i) Ability to provide reminders and checklists for self-checks on health and safety indicators (ii) Centralised interface to communicate centre's health and safety matters (iii) Data-mine pertinent indicators (if applicable) to co-relate on health areas (e.g. MC, infection occurrence, MOH data, health and safety servicing activities)
4.05
d) Finance Management - Enhance financial planning (e.g. budgetary and reinvestment of productivity gains based on data like past purchase patterns for bulk services, groceries, ancillary expenses on staff uniforms, stationary, manpower savings, etc)
4.06
Does your solution enable preschool to: a) Aggregate data from multiple sources (at least 2 and have the ability to include 3rd party data sources) of different functions (for e.g. CRM - parents, HR, Finance, Preschool centre operations) if applicable b) Provide forecasting analytics (e.g. decision trees, segmentation, regression) c) Derive consolidated insights that are actionable to improve centre operations (e.g. improved staff retention, better communication with parents, maximising productivity gains, optimising learning outcomes, reducing wastage, etc.) d) Make use of artificial intelligence features (if applicable) to obtain predictive insights on areas like health and safety management, optimise manpower deployment to improve churn rate and forecast staff turnover and employee performance as described in para 1.4.2b. e) Predict trends such as marketing responses, business directions, secure data mining, or geospatial analysis incorporating public data points.
4.07🔴
Does your solution have the capability to clean and prepare data for analysis?
4.08
Does your solution offer any artificial intelligence features, such as: - predictive insights on areas like Health and safety management; - optimisation of manpower deployment to improve churn rate; and - forecasting future sources of staff turnover and employee performance?
4.09
Does your solution have the capability to predict data such as marketing responses, business trends, secure data mining, or geospatial analysis?
4.10
Does your solution provide connector/prebuilt integration tools to integrate with other enterprise applications?
4.11🔴
Dashboards and Reports Does your solution allow the user to present the analytics/reports in different formats (for e.g. graphs and tabular format) for key business areas including but not limited to child matters, HR, centre information and parent information?
4.12
Does your solution incorporate with machine learning capabilities?
4.13
Does your solution include offering support services to support preschools on the above requirements such as technical support, etc?
4.14
Is your solution currently integrated with the pre-schools’ existing IT systems? (If yes, briefly describe the integrations currently available with the pre-schools' IT systems in the Comment Section or submit a brief write-up together with your checklist submission)
4.15🔴
Has your company engaged a qualified 3rd party to conduct a security vulnerability assessment of your solution in the last 12 months? If you are a reseller of the solution, please verify from your product principal that they have conducted a security vulnerability assessment of their solution by a qualified 3rd party in the last 12 months. If Yes, please indicate the name of the 3rd party assessor and date of the assessment test in the comment field, and also submit the assessment test report as supporting document. Note: [1] Qualified 3rd party include assessors appointed under IMDA GoSecure Programme; Cybersecurity companies accredited under Accreditation@SGD Programme; and CREST-Certified Companies or companies with equivalent certifications.
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