phrase analytics a new dimension in text analysis · · 2013-09-30phrase analytics focuses on...
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Phrase Analytics A new dimension in Text Analysis
Frank Kowalkowski Gil Laware
Words
Context Verbs
© Knowledge Consultants, Inc. & Information By Design, LLC 1998-2013
Agenda • Text usage in Business • Sources of Model Text material Ø Business Disciplines & Methodologies • Typical Analytic Approaches • Business Text Analytics Examples Ø Ranking Ø Impact Analysis Ø Comparative Analysis Ø Semantic Analysis • Business Implications
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The Idea
Text usage in business – Some Thoughts
• There are 3 big and broad categories of text usage in business: Ø Web semantics for navigation, taxonomies, organization and search Ø Document and content semantic analysis looking for keywords,
neighborhoods and phrase use Ø Business models with phrase analysis looking for similarity or difference,
impact of change and relative priority ranking
• An enterprise is represented by a collection of business models focusing on: Ø Money, quantities and descriptions or text
• Business models are made up of phrases Ø Simple text phrases Ø Simple structure
• Coupled with quantitative methods you have a powerful tool for business analysis
Phrase analytics focuses on business models of all types…
• Business models abound Ø There may be hundreds even thousands, text models like written
procedures, graphic models with phrases like flow diagrams and connected phrase models like matrices
Ø Connected phrase models are the most common Ø There are 5 types of model structures, namely…
q Lists, Trees, Matrices, Nets, Flows • These models appear in many studies and tools • They are the result of management interest in two things:
Ø Complexity Ø Change
• Analytics can be applied to these phrases providing insight into impacts of complexity and change
Phrase-based Models
Sourcing Phrase Material • We see and use these models every day
Ø In various departments Ø Disciplines Ø Domains of knowledge Ø Etc.
• They should be captured and managed in one place but there are some management objections… Ø Not likely, no time and we need results fast Ø Costs too much, will it make money? Ø Why should we do it, I’m out of here in 2 years?
• Gathering, Structuring and Applying Analytics to these models is called Enterprise Analysis
Text Material
The many phrase models represent the structure of the enterprise…the architecture
Distribution channels Method objects like
credit algorithms
Data objects like addresses Telephone number list Organization chart
Functional decompositions
Product structure
Bill of materials
Warehouses
Office locations
Factory locations
Job titles Skill sets
Organizations or People
Locations Processes, workflows, analytic flows
Things, data, components
Some are tree structures like bill of materials, some are flows, some are matrices, some are big networks and some are simple lists but all have phrases.
Plus, systems, databases, risks, documents, technologies, competitors,
customers and so on
Process flows like order fulfillment
There can be as many as 25-to-30 categories of things
The Architecture(s)
We are looking at how phrases relate to other phrases!
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To communicate effectively and efficiently the business by using simple phrases
Usually Phrases
These represent relationships between text things … phrases
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Business process methodologies use “simple phrases” to show flows across organizations & people
And more Phrases
• The goal of phrase models is simple:
Ø Seeking Clear Communication Ø Phrases are intended to support mental model Ø Phrases use graphics to show model structure Ø Depicting the relationships between things
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Some models are complicated but still are made up of phrases
Even Walt Disney used Models
Business Disciplines & Methodologies 9/30/13 10 © Knowledge Consultants, Inc. & Information By Design, LLC 1998-2013
Business Disciplines are a good source of material
Management Discipline Used
Ø Value Chain
Ø Balanced Scorecard
Ø 5 Model Ø Etc.
Contemporary Sources of Materials
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Business Environment & Business Model
Reference models & Packages
Ø Decompositions
Ø Policies-to-Procedures
Ø Flows
Ø Data or Class Models
ü Use Phrases
ü Use Phrases
Contemporary Sources of Materials
Core Business Text Analysis Idea
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Management Interviews:
(Process Hierarchy)
(Based upon Enterprise Analysis)
Bottom-Up Perspective
Work Interviews:
(Process Flows & Execution Hierarchy)
Reference Models & Packages
Business Environment & Business Model
Construct Architecture
Identify Solutions
Migration Strategy
Management Discipline
Used
Reconciliation
Strategic Plans
Top-Down Perspective
Bottom-Up Perspective
Reconciliation
Top-Down Perspective
Formulating the Business Structure or Architecture!
{ Ø Compare Ø Contrast
Ø Analyze Phrases
Ø Run Inferences
Ø Build new models
Ø Rank {
Construct Architecture
Business Environment & Business Model
Identify Solutions
Migration Strategy
Business Disciplines & Methodologies
Core Business Text Analysis Idea
Phrase Models Can Look Pretty Complicated
Process Portfolio Process Architecture Decompositions Flows Matrices
Applications
Bus
ines
s Pr
oces
ses
Information
Bus
ines
s Pr
oces
ses
Equipment
Bus
ines
s Pr
oces
ses
Communications
Bus
ines
s Pr
oces
ses
System Software
Bus
ines
s Pr
oces
ses
Application Portfolio
Application Architecture
Document Portfolio Contracts Polices Procedures Work Instructions
Product/Service Portfolio
Product/Service Architecture Business Initiatives
Bus
ines
s St
rate
gies
Business Processes
Bus
ines
s In
itiat
ives
Business Documents
Bus
ines
s Pr
oces
ses
Business Organizations
Bus
ines
s Pr
oces
ses
Business Locations B
usin
ess
Proc
esse
s
Business Decisions B
usin
ess
Proc
esse
s
Business Knowledge
Bus
ines
s Pr
oces
ses
Knowledge Portfolio
Architecture relationships
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Typical Analytic Approaches
• Rankings • Impact analysis • Comparative analysis • Alignment analytics • Semantic analytics
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Basic Business Analytics
Business Phrase Analytics - Ranking
• The Ranking Concept Ø Phrases can be ranked using two techniques:
q Quantitative values attached to the phrase (an attribute of the phrase) ü Quantitative values are often indicative of yield opportunity
related to change
q Touchpoints that relate to the phrase, touchpoints are other phrases that connect to a particular phrase ü Touchpoints are often an indicator of risk related to change
• Resulting rankings can also be paired in a 4-box type of analysis for combined rankings
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Ranking for Decision-Making
Business Phrase Analytics – Impact Analysis
• The impact concept: Ø Phrases are organized into categories, such as: locations,
organizations, documents, processes, strategies, and so on Ø Relationships between phrases can by represented by
matrices that relate these categories Ø The matrices are connected to each other by common
categories q The columns in one matrix are the same as the rows in an
other q The rows in the first matrix are related to the columns in a
second matrix thorough the common category q The technique is called inferencing with matrices
Doing an Impact Analysis
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Tying Strategy to knowledge to see impact
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Impact Analysis – An Example
A simple inferred impact analysis
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5 2 2 6 5 2 6 3 4 4
8 5 5 6 5 6 4
What does this mean? Like an alert… If you change the “Create Value Added” strategy
you may impact many knowledge nuggets
Impact Analysis – An Example
Business Phrase Analytics - Comparisons • The Comparative Concept:
Ø Comparison is useful in a number of situations like a merger, acquisition, consolidation, gap analysis, and differential analysis
Ø Usually 2-to-5 sets of phrases are compared to see if they are similar or different.
Ø Each set of phrases represents several categories such as: Locations, Organizations, Processes, Systems, etc.
Ø The sets are compared to some target like: an existing enterprise that is considering a strategic change via merger, wanting to know if consolidating 2 operating units will be an issue, or even which software package best fits the enterprise
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Comparative Analysis – An Example
4 Key categories were used for the comparison
Comparative Analysis of 2 Acquisition Candidates Using Architecture Components
100% Match Alpha Beta Choice
PRC 63% 60% A
LOCS 95% 68% A
DOCS 57% 68% B
APPS 75% 66% A
65% Match
PRC 68.50% 60% A
LOCS 100% 100% Both Tie?
DOCS 71.50% 84% B
APPS 82% 83% B Tie?
PRC – Processes LOCS – Locations DOCS – Documents APPS – Applications
Comparison was done on a 100 % match basis and again on a 65 % match basis
Alpha – Merger candidate A Beta – Merger candidate B Comparison is done against same categories from acquiring company
Comparative Analysis – An Example
Business Phrase Analytics – Simple Semantics
• The Simple Semantic Analysis Concept: Ø Sets of phrases and linguistic tokens (symbols) are used
q In this case, we used words as the tokens q Frequency analysis is used to identify keywords q Common terms and phrases are identified based on 100%
or partial match
Ø Useful for identifying: q Common terms for drill down taxonomies q Corporate language usage q Potential culture and linguistic term problems
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Semantic Analysis – An Example
Looking at two parts of an insurance company using process names
Words taken from claims and policy process models at the top of the list are
keywords
Comparison of common words in the two models
Semantic Analysis – An Example
Another approach to same type of coverage
Symbols have over 75% similarity
Phrases have only 62% similarity
Semantic Analysis – Coverage
• Easy-to-use structure provides phrase analytics for multiple assessment views of alternatives • Assessing impact of:
Ø “Change” – Assess using Impact Analysis Ø “Complexity” – Evaluate using Touchpoint Analysis Ø “Ranking” – Prioritize using touchpoints and quantitative attribute Ø “Similarity” – Compare and Contrast for consolidation and
integration • Identifying best use of enabling assets such as knowledge through a
reliable, predictable, consistent, and cost effective analytics • Reduces analysis time and overall project costs by 10-to-30 %
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Business Implications and Values
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Business Implications and Values
• Builds baseline foundation (sliver at a time projects) for capturing the overall business for analysis of alternatives • Provides linkage of business operations to knowledge and
other process enablers - coupled for rapid, effective use • Phrase analytics is used across many industry sectors:
banking, computer & information systems, consulting, finance, government, insurance, manufacturing, retail, and transportation • Phrase-based analytic capabilities tie business assessment
with factual-based decision-making