84% of Migration Projects Fail –
Getting it Right in SharePoint
Don Miller
Vice President of Sales
Concept Searching
[email protected]
Twitter @conceptsearch
Val Orekhov
Chief Architect
Portal Solutions
[email protected]
Twitter @portalsolutions
Michael Konrath
Director of Implementation Services
Portal Solutions
[email protected]
Expert Speakers
Val Orekhov, Chief Architect at Portal Solutions
brings more than 15 years in web development technology and
consulting experience. As Chief Architect, he is responsible for setting
the overall technical strategy and providing technical oversight for
Portal Solutions’ projects and delivery. Val often speaks at SharePoint
conferences and local user groups.
Don Miller – Vice President of Sales at Concept Searching
has over 20 years’ experience in knowledge management. He is a
frequent speaker on records management, and information
architecture challenges and solutions, and has been a guest speaker
at Taxonomy Boot Camp, and numerous SharePoint events about
information organization and records management.
Michael Konrath, Director of Implementation Services at Portal Solutions
is an accomplished IT consultant with ten years of experience delivering
projects for large, complex organizations. He has served as Engagement
Manager, Project Manager and Business Analyst in the Telecom, Energy,
Non-Profit, and Government space, creating dozens of high quality
Agenda
• Introductions
• Portal Solutions
•
Why Migrations Fail and How Not to be a Statistic
•
Technical Approaches for Migrations
•
Things to Consider
• Concept Searching
•
Our Technologies
•
The Typical Migration Approach
•
The Hidden Costs of Migration
•
The Intelligent Migration Approach
About Portal Solutions
10+
Years in Business
4
Service Areas (Strategy & Planning,
Branding & User Experience Technical Design & Technical Design & Implementation, User Adoption & Change Management)
3
Times selected for SP Early Adopter Program
200+
SharePoint Implementations2
Locations – DC & Boston
Our customers are
organizations that need
to
improve performance
through
effective information sharing
.
Why Migrations Fail
64
%
Percentage of
SharePoint
Migrations that
miss the
deadline for
completion
Percentage of
SharePoint
Migrations that
are over
budget
37%
Why Migration Projects Fail
Failure to Fully Scope the Effort
1
No Buy-In from Stakeholders
2
Content is Not Cleaned or Enhanced
3
Failure to Budget for All Activities
Don’t Be A Statistic!
1 – Scope
Properly
2 – Obtain
Buy-In
3 – Cleanse
Your Data
4 – Create a
Realistic
Budget
1 – Scope Properly
• Scope
•
Audit your content and understand the full breadth
of what you are migrating
•
Perform a migration POC and identify your
approach
•
Identify customizations and requirements
2 – Obtain Buy-In
• Buy-In
•
Identify business owners for all content and ensure
buy-in
•
Users need to review content and determine
migration
3 – Cleanse Your Data
• Cleansing
•
Review your content – ensure only valuable content
is migrated
•
Manually doing this is possible, but many times is
unrealistic
4 – Create A Realistic Budget
• Budgeting
•
Plan time/budget for an iterative process
•
Don’t underestimate testing and review time
•
Plan for using tools, which can save time
•
Consider a separate project/workstream for content
How To Obtain Buy-In – Migration As An Opportunity
• Buy-in is needed from across the enterprise
•
Management
•
IT
•
End users/content owners
• How?
•
Sell the migration as an improvement
•
Content will be more findable
•
Site will be more usable
•
Users will be happier
How To Obtain Buy-In – Pair Migration With Value Add
• Improve Your Information Architecture
•
Remap your IA
•
Conduct taxonomy workshops
•
Map documents to the new IA
• Improve Search
•
Metadata tagging
•
Make your documents findable
•
Improve refiners
• Governance
•
Add retention rules
•
Quotas
General Migration Process
Discovery
Identify Business Case and ROICreate User Stories and Test Scripts
Inventory Source Content and Systems
Assign Owners for all Content Design New IA Determine Migration Approach • Manual/DB/Tool • Identify any required tools • DB or Cutover? Optimize
Monitor, enhance and support Bug fixes Enhancements Site monitoring Search monitoring Optimize Discovery Proof Of Concept Build Environment Deploy Customizations and Configure Farm Execute initial migration QA Solution and Identify Issues Review Issues, Create Estimates and Project Plan
Iterative Mock Migrations Execute Mock Migrations until content is satisfactorily migrated Focus on subset of content in logical manner: • User Stories • Test Scripts • Content Owners Satisfied Go Live Deploy pilot, migrate and go live Set legacy content to read only Perform Migration according to plan Bring content live on new site Smoke test site
Migration Technical Approaches
1 – Content
Database
Migration
2 – Third Party
Tools/Custom
Scripting
3 – Manual
Migration
Migration Technical Approaches
• Content Database Migration
•
SP to SP version upgrade (cannot migrate directly from 2007-2013)
•
Few customizations
•
On-prem to on-prem
Migration Technical Approaches
• Third Party Migration Tool or Custom Scripting
•
Works for all types of migrations
• SP
• Unstructured file repositories
• Third party DMS
Migration Technical Approaches
• Manual Migration
•
Copy, paste, tag
•
Works in all situations
• Company founded in 2002
• Product launched in 2003
• Focus on management of structured and unstructured information • Technology Platform
• Delivered as a web service
• Automatic concept identification, content tagging, auto-classification, taxonomy management
• Only statistical vendor that can extract conceptual metadata • 2009, 2010, 2011, 2012, 2013 ‘100 Companies that Matter in KM’
(KMWorld Magazine) and Trend Setting product of 2009, 2010, 2011, 2012 • Authority to Operate enterprise wide US Air Force and enterprise wide
NETCON US Army
• Locations: US, UK, and South Africa
• Client base: Fortune 500/1000 organizations
• Managed Partner under Microsoft global ISV Program - ‘go to partner’ for Microsoft for auto-classification and taxonomy management
• Smart Content Framework for Information Governance comprising
• Six Building Blocks for success
• Product Suite: conceptSearch, conceptTaxonomyManager, conceptClassifier,
conceptClassifier for SharePoint, conceptTaxonomyWorkflow, conceptContentTypeUpdater for SharePoint
The Global Leader in
Managed Metadata Solutions
Manual Tagging is a
Behavior Modification Problem
concept
Classifier
automates the tagging process to remove the
behavior modification problem of manual tagging for Governance,
Findability and Migration
• conceptClassifier increases productivity, improves ‘Findability’, automates
‘Governance’, migrates content
• Organizes intellectual assets and provides a factor of improvement for end users to find company information with an automated tagging approach for any search platform
• Improves ability to target content
through EMM/TS with 2013 Search and SharePoint 2010/2013
• Improves SharePoint Portal Adoption • Aligns content with governance polices
and federally mandated requirements • Intelligently migrates content into and
out of SharePoint
• Mitigates Risk
• Reduces federal governance, corporate information policy, and personally
identifiable information exposures while improving eDiscovery audit capabilities and ensuring alignment with content retention policies
• Lowers cost of Administration
• Leverages native integration to
Microsoft stack, manages migration of GUIDS
• Lowers cost of ownership to build out and administer EMM/Term Store • Intelligent content migration • Intuitive user interface for easy
A Manual Metadata Approach Will Fail 95%+ Of The Time
Issue Organizational Impact
Inconsistent Less than 50% of content is correctly indexed, meta-tagged or
efficiently searchable rendering it unusable to the organization. (IDC)
Subjective Highly trained Information Specialists will agree on meta tags between 33% - 50% of the time. (C. Cleverdon)
Cumbersome - expensive Average cost of manually tagging one item runs from $4 - $7 per
document and does not factor in the accuracy of the meta tags nor the repercussions from mis-tagged content. (Hoovers)
Malicious compliance End users select first value in list.
(Perspectives on Metadata, Sarah Courier)
No perceived value for end user What’s in it for me? End user creates document, does not see value for organization nor risks associated with litigation and non-
conformance to policies.
What have you seen Metadata will continue to be a problem due to inconsistent human behavior.
The answer to consistent metadata is an automated approach that can extract the meaning from content eliminating manual metadata generation yet still providing the ability to manage knowledge assets in alignment with the unique corporate knowledge infrastructure.
•
Concept Searching’s unique statistical concept identification underpins all technologies
•
Multi-word suggestion is explicitly more valuable than single term suggestion algorithms
Concept Searching has a unique approach to ensure success
•
concept
Classifier
will generate conceptual metadata by
extracting multi-word terms that identify ‘triple heart bypass’ as
a concept as opposed to single keywords
•
concept
TaxonomyManager
uses statistical concept
identification to provide real-time feedback during the process
of building, testing, refining, and deploying taxonomies
•
Metadata can be used by any search engine index or any
application/process that uses metadata
Concept Searching provides Automatic Concept Term Extraction
Triple Baseball Three Heart Organ Center Bypass Highway Avoid
Unique Approach
• Metadata driven application and enforcement of policies
-
conceptClassifier has been deployed since 2010 to automatically generate metadata and use that metadata to apply and enforce policies. Many clients are using the platform to support their information governance strategy.• Proven, mature functionality out of the box - The platform has been deployed in numerous sites
and applications across the enterprise, including MOSS and SharePoint 2010, 2013, Stellent, Documentum, SQL, Oracle, File Shares, Exchange via SharePoint and across the enterprise.
Smart Content Framework™
Sum of parts is greater than whole
• Create enterprise automated metadata framework/model • Average return on investment minimum of 38% and
runs as high as 600% (IDC)
• Apply consistent meaningful metadata to enterprise content • Incorrect meta tags costs an organization $2,500 per
user per year – in addition potential costs for non-compliance (IDC)
• Guide users to relevant content with taxonomy navigation • Savings of $8,965 per year per user based on an $80K
salary (Chen & Dumais)
• 100% ‘Recall’ of content, 35% Faster access to content ‘Precision’
• Use automatic conceptual metadata generation to improve Records Management
• Eliminate inconsistent end user tagging at $4-$7 per record (Hoovers)
• Improve compliance processes, eliminate potential privacy exposures 1. Model and Validate 2. Automate Tagging 3. Findability 4. Business Processes 5. Records Management and PII 6. Life Cycle Management