- HTML Document Conversion
- CLF 2.0 Implementation
- Strategic planning
- Internet & intranet site development
- Web 2.0 service planning
- Information Management and Architecture
- User needs assessment
- Web design
- Project management
- Web application development
- Programming and database development
- Content development
- Multimedia, video & audio
- Research & environmental scans
- Search engine optimization & Internet marketing
- Taxonomies, controlled vocabularies
- Library & metadata services
- Human resources & procurement
- Policy & governance
HTML Document Conversion
XIST has experienced consultants to support large, ongoing or ad hoc requirements for document conversion into HTML, XML formats from MS Word and many other file formats. We provide skilled resources to adapt content for the web that comply with organizational standards and guidelines. All of our HTML coding passes rigorous quality assurance.
For more information or for a free quote contact us at info@xist.com.
For more information or for a free quote contact us at info@xist.com.
Annual Report Document Conversion
XIST completed a conversion of a federal Government Department's complex Annual Report into the Government of Canada's Common Look and Feel (CLF 2.0) standard HTML.
Office Documents to HTML Conversion Services
Project: XIST is currently engaged in a project to provide ongoing, as needed HTML coding and conversion services to adapt complex Word, Powerpoint, Excel and other document format files into a government of Canada template to comply with CLF 2.0 and departmental standards.
CLF 2.0 Document to HTML Conversion Services
Project: XIST completed a large-scale conversion of bilingual scientific and computational data from Microsoft Word format documents into HTML format. The work included:
- template development
- quality assurance processing
- HTML coding
- logical formatting of data for structural integration with CSS controlled HTML presentation
HTML Document Conversion
Project: XIST completed a large-scale conversion of bilingual scientific and computational data into the Government of Canada's Common Look and Feel (CLF 2.0) standard.
