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solutions
> overview
We
love to invent and construct...
...
smart, elegant and flexible solutions
The
initial focus of AGILIS SA activities include consulting in statistics
and information technology, as well as engineering of custom software
solutions to support the entire data to information life cycle,
for any organisation with information intensive activities, such
as in official statistics. Therefore, application areas, where statistics
methodology and information technology are combined to achieve efficient
solutions, include:
Data
Collection
-
Survey design: questionnaire design, sample design, development
of survey implementation plans
- Software
solutions for data collection, web based tools, CATI.
- Non
response treatment, during both fieldwork and data analysis
- XML
schemas and systems for data collection
- Data processing
Statistical
Data Exchange
- EDIFACT
message implementation (GESMES, INSTAT, etc.)
- SDMX
implementation
- Design
and implementation of XML schemas for statistical data
- EDIFACT,
XML data processing software tools
- Web
services and integrated systems for XML based data exchange
- Consulting
and support for standardisation activities
- User
training and technical support
Metadata
- Questionnaire
design for the collection of survey metadata
- Survey design
for the collection of metadata
- Software solutions for metadata collection
- Design
and development of metadata databases
- Processing and analysis of metadata
- Metadata
training
Quality of Statistics
- Assessment
and reporting of quality of statistics
- Development
of indicators of quality of statistics
- Design
of quality assurance frameworks for statistical organizations
- Evaluation
of quality of statistics related policies
- Training
on quality of statistics issues
Data
Validation
- Data
validation - analysis and assessment of results
- Specification
of data validation rules for a given set of data.
- Development
of data validation software
- Application of data validation on real data
- User
training and support.
- Consulting
on data validation and data quality improvement
Data
Analysis
- Statistical data analysis (Spatial data, time series, survey data)
- Interpretation of results – report writing
- Applied research for adaptation and development of methodology
- Construction of statistical indicators
- Development of software for data analysis
- Training
Data
Warehouses
- Architecture
of data warehouse-centric integrated information systems.
- Detailed
analysis and design of custom Data Warehouses
- Statistical
survey-specific data warehouses for official statistics.
- Statistical
dissemination data warehouses and tools
- Spatial
- Geographic Databases
Data
Mining OLAP
-
Development of OLAP tools for statistical data warehouses
- Development
of original methods, or adaptation of existing ones
- Development
of data mining software solutions
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