Data Engineering

Geospatial Data Engineering Services

Akrivia provides a variety of data engineering services aimed at ensuring geospatial data is fit for your purposes. These services include:

  • Data Modeling
  • Data Capture and Conversion
  • Data Quality Audit
  • Data Enhancement / Cleansing
  • Data Conflation
  • Data Migration

Akrivia employs a variety of automated, semi-automated, and manual processes to perform these services cost-effectively. These processes and technology, when combined with Akrivia well trained and experienced production staff and robust ISO 9001:2008 registered quality management system, means that the resulting data quality always meets or exceeds customer expectations.

Data Modeling

Key to the success of any geospatial system is its data and how data are used to fulfill an organization’s business needs. The structure of the data model directly impacts how data are used and, consequently, a well-developed data model is paramount to the success of a any geospatial system.

Akrivia has accumulated over 20 years of hands-on experience with a wide variety of geospatial data models and utilizes that knowledge in performing services ranging from development of new data models to evaluation and enhancement of existing models.

Data Capture and Conversion

Geospatial data can be split into two main types: vector (point, line, polygon, annotation, etc.) and raster (pixel based images). Akrivia offers a number of cost effective data capture and conversion services including:

  • Landbase and building survey data capture
  • Vector data capture from photogrammetric and satellite imagery
  • Conversion of facilities data from paper maps or scanned images of legacy source materials

For more information on Akrivia raster data capture services, please see Aerial Imagery, Photogrammetry, and 3D Modeling

Data Quality Audit

Akrivia offers data quality audit services that leverage our knowledge of geospatial data and systems as well as our domain knowledge of various industries. We can not only identify areas of low data quality but also prioritize recommendations for improvement based on cost and return on investment. Common issues Akrivia documents and measures include:

  • Positional / geometric accuracy of objects / features
  • Poor white space management (e.g overlapping features or attribution at required display scales)
  • Missing objects / features
  • Incorrect classification of objects / features
  • Incorrect attribution
  • Inaccurate metadata

Akrivia offers this service both as a one time audit to identify necessary improvements and as an ongoing service to review the quality of data being processed by the customer or a third party contractor.

Data Enhancement / Cleaning

Akrivia qualified technicians can also correct any issues discovered during a quality audit. We have been providing GIS data improvement services for over 20 years and offer benefits such as:

  • Expertise in all major geospatial systems and formats
  • Experience in handling large volumes of data
  • Web-based project management and productivity tools
  • On-site or off-site data enhancement / cleansing capabilities