Data systems built for real-world decisions.

Supports structured upload and analysis flows for CSV, Excel, JSON, and XML files, with dataset context shown before the user starts validation.

Calculates an overall dataset health score with visible issue counts, issue rate, column risk, and improvement signals that make quality status easy to interpret.

Shows row-level and column-level problems such as missing values, format mismatch, duplicate rows, corrupted values, and coordinate issues, with suggested fixes and confidence states.

Detects candidate validation rules from the dataset, compares wrong and current values, proposes normalized fixes, and lets users add, edit, or remove rules.

Gives users a controlled way to define custom validation and uniqueness checks, turning recurring data problems into reusable quality rules.

Produces human-readable explanations of dataset health, main issue patterns, and the top improvement opportunity for better reporting consistency.

Displays every selected variable with its type, record count, missing values, completeness, uniqueness, timeliness, suspicious values, outliers, external checks, and details.

Highlights risky cells with strong visual colors so analysts can quickly identify unusual values, external inconsistencies, or variables requiring review.

Supports data quality actions such as importing databases, checking quality, showing outliers, correcting values, clearing tables, and saving or importing reports.

The system includes beneficiary search and registration screens with structured identifiers, demographic fields, service buttons, visit history, consultation, treatment, prosthetic and orthotic service actions, and controlled edit/delete workflows.

Service forms capture beneficiary code, service date, service name, service topic, place, provider direction, description, and notes, allowing teams to document each prosthetics, orthotics, physiotherapy, consultation, or maintenance interaction.

Daily, weekly, monthly, and phase reports summarize beneficiaries and services by date, service type, center, and stage, supporting routine follow-up and donor/program reporting without exposing individual case details.

The system provides statistical tables, center comparisons, beneficiary timelines, service distribution charts, and map-based views to understand coverage and service concentration across program locations.

Administrative pages manage service variables such as service name, service location, service description, and service direction, helping keep data entry standardized across teams.

Summarizes total cases, admissions, deaths, case classification, and consultation/admission places across Aleppo and Idleb for high-level monitoring.

Tracks vaccination status among COVID-19 patients, including one-dose, two-dose, non-vaccinated, and missing vaccination-status categories, with comparison by case classification and admission place.

Analyzes admissions by gender, age group, daily case counts, cumulative trends, and place of admission, supporting hospital-capacity and response planning.

Compares admitted cases and average length of stay in CCTC, hospital wards, and ICU, helping teams understand pressure on different care levels over time.

Maps deaths by district and sub-district, then breaks mortality down by age group, gender, place of death, death date, chain of events, and significant contributing conditions.

The report starts from client and beneficiary pages, combining geography, client name, marital/social status, study dates, gender, study approval status, average study score, and beneficiary counts.

Summarizes economic vulnerability and opportunity axes such as work, income, education, financial awareness, credit, responsibility, and incentive-related indicators.

Reviews health-related assessment areas including physical health and disability, mental health, substance-use risk, and health access or capability indicators.

Tracks housing condition and stability, showing whether the household is in crisis, potentially stable, or requires housing-related intervention.

Covers family relationships, supportive social relations, and the social environment around the beneficiary, helping case teams identify protection and support needs.

Captures the beneficiary's legal or procedural situation and flags whether the case is safe, threatened, or still building capacity.

Studies daily life practices, basic habits, and mobility or access capability, showing where practical behavior or living-condition support may be needed.

Includes pages for researcher supervisors, social researchers, development supervisors, case managers, case-manager supervisors, and development partners to monitor assignments, initiatives, completion rates, and follow-up responsibilities.

Tracks the average water temperature, which helps interpret quality readings because temperature can affect taste, microbial activity, and some chemical measurements.

Shows whether water is acidic, neutral, or alkaline. The report compares pH by governorate and uses it as a core indicator for water suitability and treatment follow-up.

Measures total dissolved solids, reflecting salinity and mineral concentration. The dashboard groups wells into TDS categories to identify areas with elevated dissolved content.

Indicates how strongly water conducts electricity, which is closely linked to dissolved ions and salinity. The report uses conductivity categories to compare wells and flag abnormal values.

Measures water cloudiness caused by suspended particles. Turbidity categories help identify wells that may need filtration, protection, or additional investigation.

Tracks nitrate concentration, often associated with agricultural runoff, wastewater leakage, or contamination risks. The report compares nitrate averages by governorate.

Tracks ammonia concentration as a possible signal of organic or sewage-related contamination. The dashboard summarizes well counts by ammonia category.

Combines static water level, dynamic water level, and flow information to assess well productivity, drawdown behavior, and operational reliability.

Evaluates pumps, intake pipes and raw-water screens, submersible pump discharge pipes, raw-water pumps, treated-water pumps, plant pipes and fittings, hammer protection, and flow meters.

Assesses electrical panels and cables for raw-water and treated-water pumps, transformers, power-supply sources, and station power reliability across grid, generator, and solar systems.

Reviews the condition of buildings and halls for raw-water and treated-water pumping, ground and elevated reservoirs, treatment buildings, filters, clarifiers, and sedimentation basins.

Scores treatment components such as chlorine injection, alum dosing, filtration media, backwash systems, sludge disposal, activated carbon, and reverse-osmosis systems where present.

Covers drinking-water testing during the previous three months, turbidity, pH, bacteriological analysis, and complaints related to taste, odor, or color.

Measures whether the station has sufficient operation and maintenance staff, water-quality monitoring staff, administration staff, and warehouse/support teams.

Evaluates networks and elevated reservoirs, helping identify whether production capacity is matched by functioning distribution infrastructure.

Highlights a critical operational risk area: the dashboard images show spare-parts scoring dominated by low-scoring stations, making it useful for procurement and maintenance planning.

Assesses station safety readiness. The report shows many stations in low-scoring categories for safety equipment, which helps prioritize immediate risk-reduction actions.