datastaple.co.uk
DataStaple:: Concept:: Summary
http://www.datastaple.co.uk/concept06.asp
For data validation and improvement. DataStaple Engines work by applying DataStaples to the input data sets. The DataStaples define ways of identifying duplicate data, methods of merging data and ordered rules to establish processing sequence. After processing through the Data Staple the generated data is refined and ready for export. Data Staples are used within a simple process:. Import and validate source data. Define Data Staple rules. Process source data through the Data Staple engine.
datastaple.co.uk
DataStaple:: Concept:: DataStaple Engine
http://www.datastaple.co.uk/concept04.asp
For data validation and improvement. Concept - DataStaple Engine. DataStaple Engine applies DataStaples to input data. The key function of a DataStaple Engine is to increase the quality and purity of data. This is accomplished by identifying Master rows, linking Slave rows and merging Master and Slave rows based on the DataStaple(s). The DataStaples define ways of identifying duplicate data, methods of merging data and ordered rules to establish processing sequence.
datastaple.co.uk
DataStaple:: Concept:: Data Input
http://www.datastaple.co.uk/concept02.asp
For data validation and improvement. As with all Input-Output systems. To reduce the 'Garbage In' content the DataStaple Engine filters data and isolates for checking - the input data can then be refined to increase relevance for processing. Source data format must be consistent. Consistency is enforced the DataStaple engine.
datastaple.co.uk
DataStaple:: Concept:: Output
http://www.datastaple.co.uk/concept05.asp
For data validation and improvement. The output data set provides consistent, complete, high quality data for export with the required data shape. Successful generation of such data is dependant on implementation of DataStaples.
missionsolutions.co.uk
Link Portal © Mission Solutions Ltd. All Rights Reserved.
http://www.missionsolutions.co.uk/index2.asp
Use the links below to view a sample of sites in which Mission Solutions have been involved. Rusty Frog Creative (Preview only). Cisco Partners (v2 Preview only). DataStaple - a concept. DataStapler - the product. Blakes Parliamentary Yearbook (Preview only). If you would like further information on Mission Solutions please e-mail. Or contact us directly on 44(0)1256 811355. Or www.missionsolutions.co.uk.
datastaple.co.uk
DataStaple:: Concept:: DataStaple
http://www.datastaple.co.uk/concept03.asp
For data validation and improvement. A DataStaple is a definition consisting of a group of characteristics that are used to interpret the priority and relevance of similar data. DataStaple defines how to identify unique data, which data source to value most to ensure integrity and how to merge data to maximise value. Groups of DataStaple can be applied to the input data to maximise data quality and minimise data loss. A DataStaple in a group has a.
datastaple.co.uk
DataStaple:: Concept:: Overview
http://www.datastaple.co.uk/concept.asp
For data validation and improvement. DataStaples provide the logic used to process source data in the DataStapler Engine. The DataStaple Engine generates the data after applying the DataStaples.
datastaple.co.uk
DataStaple:: Applications
http://www.datastaple.co.uk/apps.asp
For data validation and improvement. DataStaples have numerous applications to refine and improve data quality. Some examples are given below:. With a single DataStaple duplicate names and addresses can be isolated for 'manual' checking or automatically removed to reduce production and postal costs. MHMDS - health data refinement. A DataStapler solution implemented for UK National Health Service Trusts providing data for government statistics. Check DataStapler for MHMDS.
datastaple.co.uk
DataStaple: developing better data
http://www.datastaple.co.uk/index.asp
For data validation and improvement. This mini-site provides an introduction to DataStaples - what they are, key benefits and examples of application. Have a read, feel free to contact us. For further information or product development. Use DataStaples to make better data in the 'real-world'. A DataStaple framework provides a structure to implement data refinement routines for any data sets. For more detail on the process see the Concept.