Date post: | 21-Jan-2018 |
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Technology |
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#AIIM
The Global Community of Information Professionals
What is Content Analytics?
Atle SkjekkelandChief Evangelist at AIIM@[email protected]
Content analytics is using rules, mathematical, statistical, and semantic models to automate how content is captured, analyzed, and governed over its lifecycle
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• 90% of information and IT professionals think semantic and analytical technologies are key components for turning information chaos into information opportunities
• 84% of organizations will continue to hoard information, but will start to rely on semantic and analytics technologies to provide insight and control
From Chaos to Opportunities
Source: AIIM
It’s happening slower than what we expect, but faster than we are ready for.
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80% of information is unstructured, but only 35% of
companies currently tap into this.
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Importance well-understood and growing.
How important would you say content analytics is for your organization?
N=221,
0% 20% 40% 60% 80% 100%
Now
In 5 years' time
An essential capability Something we definitely need
Could be useful Not that important
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1. Information Security & Governance
How does content analytics allow organizations to understand all of the “dark” information in their organizations, sort through what has value and what does not, and automate the process of protecting, securing, and disposing of that information?
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Identify Value of Information
Source: https://www.cgoc.com/resources/information-lifecycle-governance-leader-reference-guide
68%
2%
25%
5%
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Identify Value of Information
IBM
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Governance -- applications
Do you use automated or batch agents to perform any of the following functions?
N=189, 59% "None of these"
18%
13%
12%
12%
9%
10%
10%
6%
5%
2%
Add or correct metadata to improve searchability
Add or correct metadata prior to migration
Add or correct metadata to improve alignment…
Detect duplicate files (by content)
Add or correct metadata and flag for…
Detect security risks and misallocated access rights
Detect sensitive or privacy-related content
Encrypt or redact sensitive content
Detect offensive content (text)
Detect infringing or offensive images/video
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From Folders to Metadata Navigation
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Automate Information Compliance
• Automated how records are identified, captured and classified
• 800M+ emails a year
• 2.5M records a day
• 5,500+ FOIA cases a year
• 200+ ongoing litigation cases
Image source: AIIM ERM Practitioner training course
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2. Process Automation
How does content analytics allow data and content to automatically be “ingested” into business processes and automate those processes — even those that are not simple and straightforward —with a minimum of human involvement?
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Case Management
• Support business processes that are:
• People intensive
• Information intensive
• Highly variable and unpredictable
• Loosely structured and subject to change
• Collaborate
• And require these five capabilities:
Source: Forrester
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Support Knowledge Workers
TECHNOLOGY DESCRIPTION
Dynamic ClusteringGroups documents by topics or concepts – easier to batch for review, faster to review (i.e., all are related)
Concept-based Categorization
Sifts through collections looking for only documents that correspond to sets of examples
Concept SearchFind me everything like this – easy and efficient, finds relevant docs, not just responsive ones
Email ThreadingWhich custodians matter, which emails are the most inclusive –and what’s been changed
Near-Dup IdentificationFinds and groups nearly-similar documents – minor edits of a master of “main” document (less to review)
Source: Laura Webster, Director, Partner Solutions at Content Analyst Company
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3. Customer & Employee Engagement
How does content analytics allow organizations to anticipate and exceed customer expectations, deliver the right information at the right time to the right person, and solve the problem of information overload?
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Engagement/insight -- applications
Have you considered analyzing any of the following document or content types to extract business intelligence or solve problems?
N=178. Line-length indicates "N/A"
17%
14%
12%
8%
5%
9%
9%
7%
6%
7%
4%
4%
12%
9%
8%
9%
11%
7%
6%
7%
7%
5%
7%
5%
39%
34%
37%
46%
29%
43%
29%
37%
25%
37%
32%
24%
Help desk logs, CRM reports
Resumés, HR records
Comment form fields for suggestions/ feedback
Web-accessible databases
Incident reports, claims, witness statements
Print-streams and electronic statements
Case notes, professional assessments, medical notes
Web forums, blogs, ratings/reviews
Lab notes, trials, surveys
Picture, video or audio records
External libraries public or subscription
Patents, scientific journals, court proceedings
Already do Plans in place Would like to Unlikely
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Not only was the pick-up line at the counter
very long, but I waited 30 minutes just to
talk to a rude representative who gave me a
car that smelled like smoke, had stained
floor mats, a dented fender,, and only half a
tank of gas.
Odor
Pickup/Delivery
Speed of Service
Counter
Attitude/Helpful/Friendly
Interior Cleanliness
Body Damage
Fuel Level
Get Contextual Analysis
Source: Jeff Sumner, IBM
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Leverage Internet of Things
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But adoption still in early stages.
Are you using content analytics for any of the following?
N=219
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Process automation/inbound routing
Information governance and metadatageneration / correction
Contextual search, curation, e-discovery
Analysis / business insight / customerinput
Yes Plans in Place No plans
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Why has adoption been slow?
What are the biggest issues for you with content analytics projects?
N=207
36%
36%
30%
28%
18%
14%
13%
12%
12%
6%
We lack expertise in this area
We need to set Information Governance (IG)…
It needs a considerable investment in tools and…
We haven't really looked at it recently
Connecting to and between repositories and…
Setting the analysis rules can be difficult and…
It’s hard to predict that the outcome will be …
We need to comply with data privacy laws
The tools are immature and hard to use
Management expectations are over-hyped
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Understanding the Opportunity
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Solve a Business Problem
AIIM Content Analytics Specialist Course www.aiim.org/training
• Learn how to get started with content analytics
• Get a solid understanding of different technologies and approaches
• Learn how to use analytics to improve findability
• Learn how to use analytics to get business insights
• Learn how to use analytics to extract metadata for information management applications
• Learn how to use analytics to improve customer and employee insights
• Learn how to use analytics to improve eDiscovery
• Learn how to use analytics to improve information governance
• Learn how to use analytics to shed light on Dark Content
• Pass the online exam to become a Content Analytics Specialist
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Meet User Needs
Traditional way:
New way:
Source: Gov.uk
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Make IT Easy to Buy
Software Hardware Staff
Source: Joseph P. Larizza, Chief Administrative Officer, Fieldpoint Private
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Keep IT Simple & Smart
New IT: Old IT:
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Next Step?
Identify opportunities Sign up for the
Content Analytics training course
Become a Content Analytics Specialist after passing the online exam
www.aiim.org