Customer uses for TextPipe

See also: Case Studies and Testimonials

Here's what some of our customers use TextPipe for:

• Convert between a variety of mainframe and PC data formats
• Modify embedded server name in a BTRIEVE database when copying it to a new system (ensuring that the new server name is the same length as the old server name)
• Conversion of data from ASCII to EBCDIC for an application where we upload user files to a mainframe
• Fix data extracts
• Extract data from legacy databases
• Monitoring log files from routers and web servers for security analysis and capacity planning
• Reformat and standardize electronic text and program source code
• Data mine unstructured mainframe text reports and online web data
• Split files or join files together
• Update web sites
• Mainframe report splits and reformatting
• Bank data splits
• Cleaning/joining/analyzing internet logs
• ASCII & HTML file changes & updates
• Source code scanning
• Automatic text editing
• Batch editing HTML/ASP files
• Character conversion
• We receive a daily feed from a government customer that is in html format. TextPipe is very useful in extracting the information we are seeking
• I take large GIS (Geographic Information Systems) datasets from various government agencies and produce maps for print or digital (web) display. Many of the datasets are in assorted and sometimes esoteric formats and my software (ESRI Arcview 3.3 and ESRI ArcGIS 8.3) is very specific (and extremely picky) about the format of imported data. I mainly use TextPipe for these data conversions
• Data extracts and reformatting including XML
• Cleaning IBM AS/400 spool files
• Cleaning text files, code translation
• Converting columnar file to line files
• Converting text files for transfer of date between applications
• Merging text files from list server archives, stripping headers & exporting to a delimited file
• Data mining
• Email address extraction
• Filtering output from manufacturing equipment
• Pre-processing of xml data before publishing
• Importing OCR text files into large databases
• QA tool
• Text transformation for forensic analysis
• Web development
• Ad-hoc file data manipulation
• and much more.