the enterprise search experience
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The Enterprise Search Experience. Mindmetre Research, October 2011. Smartlogic. Hugely varied clients Recently acquired Schemalogic Based in UK and USA. MindMetre. Independent Research Since late 1990s Arms-length fieldwork Business issues Global - PowerPoint PPT PresentationTRANSCRIPT
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The Enterprise Search Experience
Mindmetre Research, October 2011
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www.mindmetre.com
Smartlogic
• Hugely varied clients
• Recently acquired Schemalogic• Based in UK and USA
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www.mindmetre.com
MindMetre
• Independent Research
• Since late 1990s
• Arms-length fieldwork
• Business issues
• Global
• Web technology, marketing
technology, financial services,
healthcare, governmental policy
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Business Pressures
• More from information asset• Less information effort
• Information explosion• User dissatisfaction• Browse versus find
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Information Overload
• When Bill Clinton left office, the volume of information and documents concerning his presidency that had to be archived amounted to some 4 terabytes
• When George Bush Jr left office, the equivalent volume of information and documents amounted to around 80 terabytes
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The situation ten years ago• IDC study - "Quantifying Enterprise Search," May 2002• Knowledge workers spend from 15% to 35% of their time
searching for information. • Searchers are successful in finding what they seek 50% of
the time or less• Only 21% of respondents said they found the information
they needed 85% to100% of the time • 40% of corporate users reported that they can not find the
information they need to do their jobs on their intranets• 90% of the time that knowledge workers spend in creating
new reports or other products is spent in recreating information that already exists
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The situation today• Over 2,000 senior company managers surveyed
in US, UK, France and Germany• Derived expectation from a low quality
requirement (external web search)• Threshold of acceptability – “a good search
experience” – is two minutes• More than half of respondents said they cannot
find the information they are seeking using their own organisation’s enterprise search facilities in two minutes or less
• 2001 -2011 – FLATLINING?
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Why Flatlining?• Information overload has increased faster than the
massive efforts • External has more commercial imperatives than
internal (and therefore has received massive effort in metadata)
• Also highly visible measures (SE ranking, transactions)• Some exceptions – data loss prevention; regulatory
compliance and investigation management• Irony – enterprise search queries likely to be of higher
quality than external search queries• Similar/same technology requirements for enterprise
search as external search
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Enterprise search - commercial imperatives
• Reduce waste of time and task repetition (e.g. product development, research, marketing, analysis)
• More rapid reactions for competitive edge• Turn information assets into earnings• Be ready for regulatory inspections
• A March 2009 IDC study found that reducing the time wasted by dealing with information overload by just 15% could save a 500+ employee company over $2m per year.
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Enterprise search issues/ requirements• We expect google yet we fail to invest in it-• Search not connected to the site -Natural History Museum• Benchmark established as two minutes or less Blackberry• ‘Anarchy of the algorithm’ not acceptable -UNICEF• Enterprises and industries have context, language,
standards, authority lists, parameters -NASA• Content intelligence therefore required so that search (&
find!) understand the query in context and lead to the relevant information as quickly as possible – NHS Choices
• Content made intelligent through accurate metadata• So how are we applying metadata?
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www.mindmetre.comAn ExampleBeautiful web page…
Search
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www.mindmetre.comAn Example…tunnel-vision search
Search
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Algorithm anarchySearch
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Connecting user language to content
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Metadata driven
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Connecting to navigation
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Enterprise search - bottlenecks• 67% of enterprises surveyed say it is very
difficult to find information in their organisation, other than key financial or sales data
• 62% believe that information overload means that only a small proportion of documents are made easily available to management and staff
• 61% say the vast majority of documents in organisations such as theirs are never properly categorised for accurate and rapid retrieval
• Two thirds believe that cost is the main obstacle to effective categorisation
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Attitudes to automation• Manual categorisation is unaffordable in a
world of information explosion• Yet 7 in 10 respondents believe that automated
systems can perform effective categorisation• Tagging challenge • In fact, a level of manual analysis is always
required to implement contextual categorisation
• People know best, machines implement best• Human intelligence, automated consistency
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The tagging challenge
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Conclusions• Despite the efforts of information architects,
enterprise search is not yet satisfying its users, both at the individual or corporate level
• Enterprise search has compelling commercial imperatives, but they are not widely enough recognised by general management
• Content intelligence is the key to making all the investment in content management and BI translate into enterprise search that finds what people need ‘in a couple of minutes’
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DigitalAsset
Management
PublishingSystems
Social collaboration
eDiscovery
Document Management
ContentManagement
EnterpriseSearch
RecordsManagement
PortalInfrastructure
Process Management &
Workflow
ContentIntelligence
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• http://www.smartlogic.com/home/knowledge-zone/white-papers/1129-mind-the-enterprise-search-gap-white-paper