Universal customer based information and ontology platform for business information and innovation management

• US 8,494,894 B2
• Filed: 09/21/2009
• Issued: 07/23/2013
• Est. Priority Date: 09/19/2008
• Status: Active Grant

• Current Assignee: Strategyn Holdings LLC
• Original Assignee: Strategyn Holdings LLC
• Inventors: Jaster, Mark, Ulwick, Anthony W.
• Primary Examiner(s): Dunham, Jason B
• Assistant Examiner(s): Elkassabgi, Zahra
• Application Number:
  US12/563,969
• Publication Number:
  US 20100082691A1
• Time in Patent Office: 1,401 Days
• Field of Search: 705 1- 44, 706/13
• US Class Current: 705/7.29
• CPC Class Codes: G06F 16/367 Ontology
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data

Abstract

A system constructed using one or more of the techniques described includes a collective set of data structures, uniquely designed entities, information tools, and computational and machine methods useful to store, append, interact with, retrieve, process, and present data and information in a fashion that enables associations to be made between the entities and the particular Jobs and Outcomes that pertain to the underlying markets, or possible markets, of an enterprise which have been identified by separate analysis following an Outcome Driven Innovation (ODI) methodology.

Claims

1. A system, comprising:

an outcome-driven innovation (ODI) data repository, embodied in a computer-readable storage medium, incorporating in each of the data records a unifying jobs framework that provides a quantifiable metric of an interaction a customer has with products or services;

a universal strategy and innovation management system (USIMS) server comprising a memory and a processor, the processor of the USIMS server configured to;

tag the each data record with one or more job identifiers to provide a numerical value associated with the each data record, the numerical value correlating the quantifiable metric of the each data record with one or more customer ODI survey responses and related meta-data;

assign the numerical value of the each data record a normalization score that has a particular market meaning independent of factors studied in the customer ODI survey responses but has a scale reflecting a significance of the quantifiable metric and the one or more job identifiers in market terms;

assign a priority of the each data record with respect to another data record of the data records, the priority based on an ODI based model of the particular market, including a measure of a job related to the particular market, and the normalization score of the each data record; and

report on a uniform dimension of importance and satisfaction based on the priority of the each data record.

2. The system of claim 1, wherein the quantifiable metric of the interaction of the each data record is the quantifiable metric of the interaction of the other data record.

3. The system of claim 1, wherein the uniform dimension of importance and satisfaction of the report comprises an indicator of one or more of:

evaluation of a market position in absolute terms relative to markets and competitors;

identification of new product opportunities and assessment of threats from changes affecting its markets;

quantification of future economic value and uncertainty of development investments and communication of information to capital markets related to asset value of a subject marketing; and

product portfolio compared to others in chosen sectors.

4. A method comprising:

creating an innovation strategy at an innovation strategy creation engine;

aggregating outcomes associated with a market, using a processor of an outcome aggregation engine;

aggregating jobs associated with the market using the processor of the outcome aggregation engine;

identifying opportunities associated with the market, the identifying the opportunities including automating calculation, ranking, and reporting of opportunity scores with associated metadata, using a processor of an opportunity identification engine;

segmenting the market, including providing tools to interact with statistical analysis and modeling packages and import additional metadata tags into a job/outcome data schema comprising a set of data entities, each of the set of data entities incorporating a unified jobs framework that provides a quantifiable metric of an interaction a customer has with products or services, the segmenting using a processor of a market segmentation engine;

defining a target strategy using a processor of a target strategy definition engine, the defining including;

tagging each of the set of data entities with one or more job identifiers to provide a numerical value associated with each data entity of a set of data entities, the numerical value correlating the quantifiable metric of customer interaction with the one or more of the opportunities;

assigning the numerical value of the each data entity a normalization score that has a particular market meaning independent of data used to gather the aggregated outcomes and the aggregated jobs, but has a scale reflecting a significance of the quantifiable metric and the one or more job identifiers in market terms;

assigning a priority of the each data entity with respect to another data entity of the data entities, the priority based on an ODI based model of the market, including a measure of one of the aggregated jobs and the normalization score of the each data entity;

providing a tool to meta-tag jobs and outcome statements in respective data entities with thematic identifiers, workflow or business process dependencies, links to other data entities declared in the system, and correlation values;

optimizing a portfolio containing the each data entity using a processor of a portfolio optimization engine; and

conceptualizing a breakthrough with the optimized portfolio using a processor of a breakthrough conceptualization engine.

5. The method of claim 4, wherein creating an innovation strategy comprises:

facilitating gathering of baseline data on strategy variables;

generating reports that facilitate a decision of prioritizing projects to pursue viable objectives in a market growth strategy;

facilitating creation of an overall growth blueprint;

facilitating development of a consumption chain improvement strategy.

6. The method of claim 4, wherein aggregating outcomes comprises:

providing a generic hierarchy of jobs, job map template and information capturing and linking tools to map a job of interest and important related jobs and build a metadata library for sharing and retrieval;

providing outcome gathering common questions;

providing a shared environment for users to net outcomes down to a critical set;

providing an automated tool to index and link to or translate other market research into job and outcome statements;

providing tools to index and link media files to job and outcome statements.

7. The method of claim 4, wherein aggregating outcomes comprises:

extracting job and outcome statements directly into web survey tools;

facilitating procurement of customer lists for direct quantitative research;

providing rule-based utilities to assign survey participants to segments or groups for later analytical purposes;

providing tools to deploy surveys directly to customers, screen out known survey abusers, and randomize data collection for reliability;

assessing customer response data validity through co-variance assessments on like outcomes;

automating collection of price sensitivity input during initial quantitative research;

providing tools to import survey response data directly into a data model;

providing tools to optionally distribute data with population averages back to survey participants to encourage customer engagement;

providing search tools to find other jobs and outcomes from other company or benchmark research reports and a utility for affinity tagging.

8. The method of claim 4, wherein the identifying opportunities further includes:

building and displaying opportunity landscape diagrams;

providing graphic based utilities to enhance and interact with data depicted in the landscapes;

providing graphic based utilities to enhance and modify visual representations of data within landscape diagrams.

9. The method of claim 4, wherein the segmenting the market further comprises:

providing data manipulation tools to facilitate compiling and loading of datasets into external statistical analysis packages;

providing utilities to enhance the visual representation and tabular reporting of the statistical data properties.

10. The method of claim 4, wherein defining the target strategy further comprises:

providing a tool for end users to meta-tag jobs and outcome statements in respective data entities with other thematic tags;

delivering real-time tabular and visual representations of the tagged jobs and outcomes to facilitate innovation collaboration;

providing exports of jobs and outcomes;

providing a utility to scout, cull, assess the value of, and organize external sources of pre-made solutions against jobs and outcomes.

11. The method of claim 4, wherein the conceptualizing breakthroughs further comprises:

synthesizing preceding functionality to facilitate collaborative discovery of innovation breakthroughs addressing considerable unmet market needs;

isolating attractive opportunities based on the priorities of the each data entity and the other data entity;

providing tools that compare similar jobs in markets having similar outcomes, and sharing related platform enabling technology paradigms.