datastaple.co.uk
DataStaple: developing better dataDataStaple - a concept of data refinement for increased data value (for analysis or reporting)
http://datastaple.co.uk/
DataStaple - a concept of data refinement for increased data value (for analysis or reporting)
http://datastaple.co.uk/
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DataStaple: developing better data | datastaple.co.uk Reviews
https://datastaple.co.uk
DataStaple - a concept of data refinement for increased data value (for analysis or reporting)
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:: 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:: 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.
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:: 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.
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DataStapler – Development
http://www.datastapler.co.uk/about/dev.asp
For data validation and improvement. DataStaple - the Concept. Development is what generates our success - applying knowledge and experience to provide solutions that meet real needs. The DataStapler team use well-defined processes to support each project. Detailed scope creation to ensure achievable, workable solutions are created. Monitoring in context of business and project targets. Software review to ensure standards compliance.
DataStapler – History
http://www.datastapler.co.uk/about/history.asp
For data validation and improvement. DataStaple - the Concept. DataStapler was formed in 2005 as a joint venture by Trubyte Syetms and Mission Solutions to meet data management needs. After initial development of the DataStaple concept and application of DataStaples into data management solutions further developments led to the DataStapler solution and a set of DataStapler components. DataStapler has grown out of successful project development and delivery.
DataStapler – Demos
http://www.datastapler.co.uk/dload/demo.asp
For data validation and improvement. DataStaple - the Concept. The demos are intended as an introduction. Any further questions please contact us. And we will be very happy to help. DataStapler for MHMDS Product Demo. Etc, etc, etc. We will be adding additional demos as new product is released - please check back again.
DataStapler – DataStapler for MHMDS
http://www.datastapler.co.uk/prod/mhmds
For data validation and improvement. DataStaple - the Concept. This version has been developed for use in the UK National Health Service top aid improving data quality of the Mental Health Miniumu Data Set. DataStapler for MHMDS supports:. Databases of up to 1000 rows. Import of multiple databases. Etc, etc, etc, etc,.
DataStapler – DataStapler Lite
http://www.datastapler.co.uk/prod/lite
For data validation and improvement. DataStaple - the Concept. The Lite version is designed to apply powerful DataStaples for lower data volumes. Databases of up to 1000 rows. Import of up to 2 databases.
DataStapler – Downloads
http://www.datastapler.co.uk/dload
For data validation and improvement. DataStaple - the Concept. This section provides product downloads, upgrades for registered users, sample applications and case studies. Test software for 14 days. Illustrate how the products can be deployed. Provide latest updates to all our software.
DataStapler – Product
http://www.datastapler.co.uk/prod
For data validation and improvement. DataStaple - the Concept. DataStapler has been developed using code modules forming a solid framework for data refinement. The framework provides many benefits for developing new DataStapler solutions, aiding support and enabling reuse (by DataStapler or third-parties). The benefits of DataStapler can be provided in different formats:. Existing products offerings for specific requirements have been developed for immediate application.
DataStapler – Trials
http://www.datastapler.co.uk/dload/trial.asp
For data validation and improvement. DataStaple - the Concept. The following software is available in Trial versions to allow evaluation before purchase.
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.
DataStapler – Support Introduction
http://www.datastapler.co.uk/support
For data validation and improvement. DataStaple - the Concept.
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Datastandard
Datastandardprojektet omfatter en udvidelse af den gældende ISO standard 11788 for udveksling af data i svinestalden. Standardens fremtidige muligheder er allerede afprøvet i praksis i en såkaldt FarmTest hvor fire firmaer og to svineproducenter deltog. Læs mere om Datastandard konceptet. Læs mere om Datastandard i praksis. Landbrug and Fødevarer, Videncenter for Svineproduktion Axeltorv 3 DK-1609 København V Phone 45 33394000 www.vsp.lf.dk.
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Welcome to Data Standards. Data Standards is a long established business, recognised for its excellence in providing publishing solutions to their clients for over 10 years. We support publishers with their ever growing need in finding ways of producing more publications with lower costs. Data Standards provides such solutions utilising XML. Technologies and returns data in many ways to assist in extending publication programs. Ldquo; Now available for download . Oxford University Press,.
Data Standards Decisions - Home
August 2017 - FDA announced their support and requirement start dates for SEND v. 3.1. On August 21, 2017, a Federal Register Notice announced FDA's support for SEND v. 3.1 and the requirement start dates for NDAs (15 March 2019) and for INDs (15 March 2020). The FDA Data Standards Catalogue can be accessed from here. For a little more guidance on the implications, you can find some help for interpreting the Data Standards Catalogue here. Open it as a pdf). July 2016 - SENDIG v. 3.1 is published! Data St...
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Welcome to IMF Data Standards Help. Search our knowledge base or contact us for help implementing the IMF's Data Dissemination Standards:. Enhanced General Data Dissemination System (e-GDDS). Special Data Dissemination Standard (SDDS). Special Data Dissemination Standard Plus (SDDS Plus). Background information about these standards is located on the IMF's Data Dissemination Bulletin Board. IMF Data Dissemination Standards →. EGDDS: Enhanced General Data Dissemination System. ODP NSDP Editor Help Guide.
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DataStaple: developing better data
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.
DataStapler – Home
For data validation and improvement. DataStaple - the Concept. The DataStapler site provides information on DataStaples and DataStapler products as well as Product Upgrades and Support. A centralised point to support you in managing and growing your business. It will also provide useful tools that will help support your activities and provide visibility to both corporate and field personnel. Please do the following:. Perform a detailed review of areas of interest based on your organisational role.
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Hetikäyttöiset laitteet, sovellukset ja palvelut. Viimeisteltyjä ratkaisuja liikevoiton tuottamiseen ja haasteiden ratkomisiin. Termejä, konsepteja ja näkemyksiä. Sensorit, alustat, ohjelmointirajapinnat ja rakentelu. Hetikäyttöiset laitteet, sovellukset ja palvelut. Viimeisteltyjä ratkaisuja liikevoiton tuottamiseen ja haasteiden ratkomisiin. Termejä, konsepteja ja näkemyksiä. Sensorit, alustat, ohjelmointirajapinnat ja rakentelu. Sivustokaapparilla talteen kopioitu versio). Suosituksena parantamaan ja ...
datastaq - Home
Big Data Services for Insurance. Datastaq helps insurance and reinsurance firms leverage internal and external data sets to drive insights, operational efficiency, and financial performance. Our clients leverage our proprietary Big Data and predictive analytics technical stack to capitalize on opportunities from underwriting to claims management to fraud detection powered by data. 12 months before Super Storm Sandy as seen through 1 billion data points. The Datastaq platform is flexible, enabling pricing...
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