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VidenDanmark afholdt den 8.10.2009 seminar om Enterprise Search Best Practice 2009. Ved seminaret var der præsentationer fra Findwise, Convergens, Scanjour, Metier, COWI og Creuna. Der blev præsenteret en række søgeteknologier: Fast, Google Search Application, Autonomy, Sharepoint. Seminaret blev understøttet af et seminar 2.0 - system. Se hele dokumentationen på http://videndanmark.dk/8-10-Search-2009.441.0.html.
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From Search to FindabilityEnterprise Information Management
Dan ThomseniBox Product Manager, Scanjour A/S
Hvad er problemet / udfordringen
Hvad er Enterprise Information Managment (EIM)
Hvad skal der til
From Search to Findability
iBox – demo
Customer case: Purdue PharmaMission Critical
Where is the beef
Organisationers information management udfordringer
Man ved ikke hvad man har/ved, der er ingen overblik
Videnarbejdere kan ikke finde det de har
Det er svært at stille det rette spørgsmål
Informationer er spredt på tværs af systemer
Med hver deres måde at arbejde med informationer på
Med hver deres type af egenskaber og metadata
Studier har vist, at videnarbejdere gennemsnitlig spilder op til 10 timer ugentlig på at søge efter informationer samt at duplikerer informationer. The Hidden Costs of Information Work IDC. April 2006
Værdien ved Enterprise information management
Effektiv Information management er :• Evnen til udnytte information mest effektivt til at
understøtte forretningen og forretnings processer på
• Evnen til at træffe de rigtige beslutninger på baggrund af de alle relevante informationer
• Minimere omkostningerne ved at:- opsamle informationer- organisere informationer- gøre informationer tilgængelige
*Gartner: Putting Enterprise Information Management in Context
Gartner* defines EIM as an integrative discipline for structuring, describing and governing information assets, regardless of organizational and technological boundaries, to improve operational efficiency, promote transparency and enable business insight
(see "Gartner Definition Clarifies the Role of Enterprise Information Management").
One of the key drivers of EIM is to overcome decades of "silo-based," application-centric development, in which each system maintained its own version of data and process rules to suit local performance needs. This resulted in duplication and a lack of agility within the organization
see "Achieving Agility: How Enterprise Information Management Overcomes Information Silos") When clients ask us about the scope and relationships of EIM, we see four key dimensions: 1. EIM in the context of doing enterprise architecture 2. The relationship between EIM and enterprise information architecture (EIA) 3. The manner in which information is managed as a discipline in the organization 4. The role of technology in managing information, particularly the need for a common, information-centric infrastructure to support the increasing need to share and exchange all types of information (structured and unstructured)
Definition: Enterprise Information Management
Informationer bliver gemt i forskellige typer af systemer, som hver for sig har forskellige evner til at håndtere eller ikke-håndtere metadata
? File Server SharePoint ESDH
MetadataMetadata
SearchIndex
Datakilder har ofte ingen eller forskellige typer af metadata
Findability™ er lav*: Der er ingen overblik Fritekstsøgning fanger kun 33% af relevante informationer Brugere der søger anvender ikke samme ord som forfattere
Konventionel fritekstsøgning
* Kilde: BBC, Danish Broadcasting Corporation, Forrester, BT og Alta Vista
? File Server SharePoint ESDH
MetadataMetadata
. . . hvilke resulterer i konventionel fritekstsøgning med lav Findability™
iBox Personalized/rollebaseret struktureret
iBox søgning på tværs af forskellige platforme
Bibliotekskort Bibliotekskort Bibliotekskort Bibliotekskort
Autoklassifikation
iBox infrastruktur
Central (meta) metadata model på tværs af platforme
? File Server SharePoint ESDH/CaptiaMetadataMetadata
Information modelling
• Hvorledes kan forretningen bedst understøttes
• Hvorledes kan informationer mest effektivt gøre tilgængelige
• Hvad er den mest effektive informations model
• How is it done?
iBox udnytter og håndtere eksisterende datastrukturer, samt anvender dette til effektiv klassifikation af ustrukturerede informationer
Struktureretdata iBox Metadata Model
Ustruktureredeinformation
Kundeansvarlig
Industri
Kunde adresse
Forfatter
Emne
ProjektType
Afdeling
Projekt
Kunder
Kontoradresse
Rolle
Dokumenttype
?
File Server
SharePoint
SharePoint
Active Directory
ERP
SQL
Andet
Kundeansvarlig
Industri
Kundeadresse
Titel: ”Proposal ....”
Forfatter
Projekttype
Afdeling
Kunde
Kontoradresse
Rolle
Projekt
Lokation
Dokumenttype
Felt / Property
EmneIndhold Forfatter
Forfatter
Relationer
iBox laver et bibliotektskortet på filen: ”Proposal ....”
iBox anvender unikt forskellige metoder for autoklassifikation for at få den mest effektive klassifikation
Vision: Senior management knows the value of information, sees it as competitive differentiator, and exploits it to drive value and operational efficiency. Strategy: The IT organization puts in as much support as possible to make information management transparent to the users, with business-level data stewards playing active roles. EIM links to strategic initiatives, such as enterprise agility.Governance: EIM drives productivity, improves compliance and reduces risk. The monitoring and enforcement of information governance is automated throughout the enterprise. Incentives and disincentives are established and carried out. Organization: A formalized EIM program is adopted that includes roles and responsibilities within a defined strategy or program. Process: An EIM group is instituted. This group may be organized into a central, autonomous unit, or it may be operationalized following a matrix model. The EIM group actively coordinates all information management efforts, such as master data management, content management, business intelligence, product information management applications, customer data integration and so forth. Enabling Infrastructure: The five EIM technology functions are achieved:
Integrated subject and domain areasContinuous and seamless information flows Metadata management and semantic reconciliation Data integration across the IT portfolio Unified and converged content
Metrics: Metrics focus on external factors, such as sourcing, risk and margin. Data quality metrics determine the progress of ongoing data stewardship initiatives to improve transparency and responsiveness. Reuse metrics show positive gains from information sharing. Statistics on metadata management use support transparency and related compliance objectives.
*Gartner: From IM to EIM: An Adoption Model
Hvad skal der til ?
aiim MarketIQ(Intelligence Quarterly)2008 “Findability The Art and Science of making Content Easy to Find” on the subject.
“A fundamental difference between Findability and its predecessor and component, search, is where the burden of effort lies at the user. Under Findability, the burden of intelligent content processing is placed on the content itself.
It is the content that is made “findable” in any number of scenarios. It no longer takes asking the “exactly right question,” or having intimate knowledge of where you are seeking in order to execute an effective search”
iBox - fra Search til Findability