- Mongoose IT
-
Mongoose IT Ltd[1] is an enterprise software company that specialises in the design and implementation of complex IT projects focused on Enterprise Search. Headquartered in London, United Kingdom, it also provides a portfolio of specialist software products, such as Search-based applications.
Contents
Services
Search Implementation and Consulting services[2]
- Management and Architectural Skills
- Provide Search-specific architectural guidance in defining the physical and logical infrastructure.
- Advise on content / meta data and relevance / ranking strategy.
- Provide specialist guidance on tactics and strategies utilising Search.
- Assist in requirements-gathering and definitions ensuring alignment to business needs.
- Assist in content requirements-gathering and specification including meeting with internal and external content providers.
- Conduct search proofs-of-concept to help support business cases.
- Provide search-specific project management methodologies.
- Technical and Development Skills
- Provide senior development support and guidance to the in-house development team.
- Develop specific components for content processing and indexing.
- Build, configure and install Search in Development, Test and Production environments.
- Provide detailed handover documentation and conduct training sessions with key client members to facilitate knowledge transfer.
- Support Service
- Facilitate specific deployments along with advising on general site deployment and maintenance.
- Maintenance and enhancement of installation.
- Provide 2nd/3rd line 24/7 support of the production environment.
Search Benchmark[3]
- This process enables Mongoose's clients to:
- Understand current best practice for Enterprise Search functionality and benchmark against their environment.
- Discover potential weaknesses and improvement areas within their current Search architecture.
- Make informed decisions on what may need to change within their organisation's Search environment.
- Plan a structured improvement roadmap using proven techniques.
Products
HealthView - Linking patient information across multiple hospital systems[4]
- HealthView is a Search-based application designed for NHS Trusts, providing clinicians and hospital staff with a user-friendly, near real-time, single portal view of information from multiple, disparate hospital systems.
- HealthView combines Enterprise Search, Database, Artificial Intelligence, Character Recognition, Front-end technologies and Mongoose custom software, to immediately retrieve relevant patient information from different data sources (structured and unstructured) and teach itself using machine learning (a type of Artificial Intelligence) to recognise evolving and changing documentation such as patient discharge letters, anaesthetic scans or blood tests.
- HealthView addresses the issue of finding and retrieving relevant patient information from multiple existing hospital systems by unlocking the value of existing data. It finds information quickly, helps to avoid replication of procedures, prevents duplication and is scalable to the needs of large NHS Trusts.
Advanced Analytics for Enterprise search[5]
- Identification of problem areas to improve search engine performance and effectiveness.
- Informed decision making to develop search strategy, content visibility and search monetisation.
- Automated reporting out-of-the-box.
- Management Dashboard and Scorecards tailored with KPIs and required analysis.
- Creation of custom reports.
- Web-based user interface.
Content Refinement for FAST Enterprise Crawler[6]
- Plug-in tool refining content that is being indexed for the FAST Enterprise Crawler.
- Stopping unwanted elements of web pages from being indexed.
- Improving result summaries, as only required content is indexed.
- Speeding up the search process for end users.
- Reducing administrative effort by increasing crawling efficiency.
- Removal of headers, menus, common elements of web pages.
- Omitting of non-content pages.
- Adding extra functionality for selecting crawled pages to index.
- Full GUI interface for creating content selection rules.
- Quick integration with the FAST Enterprise Crawler.
- Cross-platform supports *NIX and Windows versions of ESP.
Development Model
Mongoose uses agile development techniques based around the Scrum methodology – an iterative, incremental framework for project management, where the project is divided up into a series of time-boxed Sprints. This allows for prioritisation of functionality and the ability to collect 'quick wins' early in a project's lifecycle.
Mongoose adopts a 'Blended Team' approach to its search implementations, bringing key specialist resources into a project only at the point at which they are explicitly required. Mongoose also involves client personnel in key stages of the project, ensuring effective transfer of knowledge going forward.
Quality Management
Mongoose's Quality Management System (QMS) was designed to meet BS EN ISO 9001 using the guidelines laid down by BERR's TickIT scheme. The QMS provides a formal framework within which all members of staff are trained to operate. This framework contains all standards, processes and procedures that Mongoose's projects adhere to.
- Project Management
- Risk and Issue Management
- Change Management
- Configuration Management
- Implementation Management
- Documentation Review Procedures
- Dependency Management
- Product Testing
- Defect Management
- Defining Product Descriptions
- Defining Entry, Exit and Acceptance criteria
Mongoose provides an independent, integrated Quality Assurance and Test Management function, with a series of QA Gate reviews for key project stages, such as: Project Initiation; Requirements; Design; Build; Supplier Test; UAT; Deploy. Each stage within a gate review is assessed from two perspectives: project control and product quality.
- Project Control: This part of the review assesses whether quality standards, processes and procedures defined in the quality management plan are being adhered to. If these standards are not adhered to, this could have an extremely detrimental effect on the quality of the overall solution delivered. This would be identified and corrective action would be taken immediately to rectify the situation, maintaining quality.
- Product Quality: Static analysis is performed on all key documentation for each stage in a project lifecycle. This adopts the test method of finding defects earlier in the project lifecycle to improve quality and reduce overall cost. Mongoose's method of static analysis reviews sets of documentation within a functional area, rather than reviewing each document in isolation.
Management
- Matthew Gittoes: Managing Director
- Simon Fairey: Chief Technical Officer
- Daniel Garner: Product Director
- Robin Davidson: Operations Director
History
- January 2007,[7] : Mongoose is established by the senior team at the Financial Times responsible for Enterprise Search for www.ft.com,[8] as an independent consultancy specialising in the implementation and delivery of complex IT projects focused on Enterprise Search, Business Intelligence and Data Warehousing.
- April 2008: Mongoose becomes a Microsoft-certified FAST Implementation partner.
- May 2009: Mongoose successfully completes the implementation of the online search portal for the National Institute for Clinical Excellence – NHS Evidence, on-time and on-budget, using Microsoft FAST ESP.
- June 2009[9]: Microsoft issue NHS Evidence case study as a flagship installation of Microsoft FAST.
- June 2009[10]: Lord Darzi's Report, "High Quality Care For All, Our Journey So Far" cites NHS Evidence as key component.
- August 2009: NHS Evidence select Mongoose to develop and maintain the next phases of advanced search at the National Institute for Health and Clinical Excellence.
- August 2009: Business Monitor International select Mongoose to plan and migrate their data centre move, including internal and customer facing web applications and intranet portal.
- September 2009: Gartner Briefing - Mongoose briefs Gartner analysts on the methods deployed to deliver NHS Evidence in such accelerated timescales.
- November 2009: Mongoose is selected to provide FAST and general Enterprise Search consultancy and support to the South London and Maudsley NHS Foundation Trust.
- December 2009: Mongoose's Advanced Analytics for Enterprise Search reporting tool is selected by NHS Scotland and NHS Evidence.
- April 2010: Mongoose, together with partners Parity Solutions, is selected to implement Microsoft SharePoint 2010 and FAST for NHS Direct, as part of a major 4-year operational improvement plan.
- May 2010: The NHS Information Centre for Health and Social Care selects Mongoose to provide specialist FAST consultancy to improve and enhance their existing FAST deployment.
- June 2010: Content & Code, a leading SharePoint implementation services provider, partners with Mongoose to augment their service portfolio with specialist FAST expertise.
- June 2010[11]: Gartner principal analyst Whit Andrews releases his latest global best practice case study "The NHS Uses Search to Give Health Workers Higher-Quality Information" featuring Mongoose.
- September 2010,[12][13] : Mongoose is awarded the contract for a major 6-month search enhancement programme at the Financial Times for the FT.com portal.
- October 2010: Mongoose implements the Apache Solr open source search solution for online Audio Book retailer, Weread4you.com.
- January 2011[14]: Mongoose is awarded a Framework Agreement by Buying Solutions for Digital Continuity, for the provision of Data Quality Solutions across the public sector.
- January 2011[15][16]: Microsoft issues its latest case study featuring Mongoose's implementation of FAST for the National Institute for Health and Clinical Excellence.
- January 2011[17]: Microsoft Health Tech Today, the US-based healthcare news portal, has released its latest video featuring Mongoose and NHS Evidence.
- June 2011[18]: Mid Yorkshire Hospitals NHS Trust awards Mongoose a contract to roll-out HealthView - its new clinician-focused Search-based application which surfaces and consolidates accurate medical information from millions of scanned images and other hospital data repositories.
References
- ^ http://www.mongoosesearch.com/
- ^ http://www.mongoosesearch.com/services/search-implementation.html
- ^ http://www.mongoosesearch.com/services/search-benchmark.html
- ^ http://www.mongoosesearch.com/products/healthview.html
- ^ http://www.mongoosesearch.com/products/advanced-analytics-for-enterprise-search.html
- ^ http://www.mongoosesearch.com/products/content-refinement.html
- ^ http://www.mongoosesearch.com/images/Casestudies/MongooseFASTcasestudyFT.pdf
- ^ http://www.ft.com
- ^ http://www.mongoosesearch.com/images/Casestudies/MicrosoftCaseStudyNICEMongooseIT.pdf
- ^ http://www.dh.gov.uk/prod_consum_dh/groups/dh_digitalassets/documents/digitalasset/dh_101674.pdf
- ^ http://www.mongoosesearch.com/images/Casestudies/GartnerCaseStudyNICEMongooseIT.pdf
- ^ http://www.mongoosesearch.com/clients/ftcom.html
- ^ http://www.mongoosesearch.com/images/Casestudies/MongooseFASTcasestudyFT.pdf
- ^ http://www.buyingsolutions.gov.uk/
- ^ http://www.mongoosesearch.com/clients/nhs-nice.html
- ^ http://www.mongoosesearch.com/images/Casestudies/MicrosoftCaseStudyNICEMongooseIT.pdf
- ^ http://www.microsoft.com/industry/healthcare/healthtechtoday/default.aspx#3-5
- ^ http://www.mongoosesearch.com/products/healthview.html
External links
Categories:- Software companies of the United Kingdom
- Companies based in London
- Management and Architectural Skills
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