Claims:CLAIMS
What is claimed is:
1. A method for collecting a plurality of innovation signals from an innovation ecosystem of an enterprise and presenting and visualizing innovation insights to a user, the method comprises steps of:
identifying, by an innovation insights presentation device, a plurality of inputs through a modeler module to define a boundary condition to obtain an innovation ecosystem model, wherein the innovation ecosystem model comprising data pertaining to a plurality of enterprises, relationships between the plurality of enterprises, roles of the plurality of enterprises, capabilities of the plurality of enterprises and demographics of the plurality of enterprises;
storing, by the innovation insights presentation device, the identified plurality of inputs in a database, wherein the relationships between the plurality of enterprises, and the demographics of the plurality of enterprises are periodically updated in the database;
detecting and collecting, by the innovation insights presentation device, the innovation signals from a plurality of data sources corresponding to the defined boundary condition and categorizes the extracted innovation signals into a plurality of relationships entities through an enricher module, wherein the enricher module connects the categorized entities into a plurality of relationships and enriches the innovation signals with the plurality of inputs in the innovation ecosystem model; and
receiving, by the innovation insights presentation device, the enriched innovation signals and utilizing a plurality of tool units to leverage the innovation signals for presenting and visualizing an insight to influence one or more strategic decisions of the user through an explorer module.
2. The method according to claim 1, wherein the plurality of inputs comprising data pertaining to a plurality of technologies, a plurality of use cases, a plurality of focus business processes and a plurality of product categories to define the boundary condition.
3. The method according to claim 1, wherein the enricher module enriches the innovation ecosystem model with the inputs from the collected innovation signals in a hybrid model.
4. The method according to claim 1, wherein the innovation signal (S) comprises selecting a subset of specific values from at least one of a list of pre-defined values, and one or more user input values of a context (C), a use-case (U), a process (P) and technology (T) of a specific entity (E) and defining the innovation signal as at least one of the following ways, a mathematical combination, a logical combination or a visual combination.
5. An innovation insights presentation device for collecting a plurality of innovation signals from an innovation ecosystem of an enterprise and presenting and visualizing innovation insights to a user, the innovation insights presentation device comprises:
a processor; and
a memory communicatively coupled to the processor, wherein the memory stores instructions, which, on execution by the processor, causes the processor to:
define a boundary condition to obtain an innovation ecosystem model by receiving a plurality of inputs through a modeler module, wherein the innovation ecosystem model comprising data pertaining to a plurality of enterprises, relationships between the plurality of enterprises, roles of the enterprises, capabilities of the enterprises, value propositions of the enterprises, markets addressed by the enterprises, financials of the enterprises and demographics of the enterprises;
detect and collect the innovation signals from a plurality of data sources corresponding to the defined boundary condition and categorizes the extracted innovation signals into a plurality of relationships entities through an enricher module, wherein the enricher module connects the categorized entities into a plurality of relationships and enriches the innovation signals with the plurality of inputs in the innovation ecosystem model; and
receive the enriched innovation signals and utilizes a plurality of tool units to leverage the innovation signals for presenting and visualizing the innovation insights to influence one or more strategic decisions of the user through an explorer module.
6. The innovation insights presentation device according to claim 6, wherein the plurality of inputs comprising data pertaining to a plurality of technologies, a plurality of use cases, a plurality of focus business processes and a plurality of product categories to define the boundary condition.
7. The innovation insights presentation device according to claim 6, wherein the enricher module enriches the innovation ecosystem model with the inputs from the collected innovation signals in a hybrid model.
8. The innovation insights presentation device according to claim 6, wherein the innovation signal (S) comprises selecting a subset of specific values from at least one of a list of pre-defined values, and one or more user input values of a context (C), a use-case (U), a process (P) and technology (T) of a specific entity (E) and defining the innovation signal as at least one of the following ways, a mathematical combination, a logical combination or a visual combination.
9. A non-transitory computer-readable storage medium comprising a set of executable instructions stored thereon that, when executed by one or more processors, cause the processors to:
define a boundary condition to obtain an innovation ecosystem model by receiving a plurality of inputs through a modeler module, wherein the innovation ecosystem model comprising data pertaining to a plurality of enterprises, relationships between the plurality of enterprises, roles of the enterprises, capabilities of the enterprises, value propositions of the enterprises, markets addressed by the enterprises, financials of the enterprises and demographics of the enterprises;
detect and collect the innovation signals from a plurality of data sources corresponding to the defined boundary condition and categorizes the extracted innovation signals into a plurality of relationships entities through an enricher module, wherein the enricher module connects the categorized entities into a plurality of relationships and enriches the innovation signals with the plurality of inputs in the innovation ecosystem model; and
receive the enriched innovation signals and utilizes a plurality of tool units to leverage the innovation signals for presenting and visualizing the innovation insights to influence one or more strategic decisions of the user through an explorer module.
10. The non-transitory computer-readable storage medium according to claim 9, wherein the enricher module enriches the innovation ecosystem model with the inputs from the collected innovation signals in a hybrid model.
, Description:COMPLETE SPECIFICATION

TITLE OF THE INVENTION

DEVICE AND METHOD FOR DEFINING, CAPTURING AND CALIBRATING AN INNOVATION ECO-SYSTEM

TECHNICAL FIELD

[0001] The present invention relates to defining, capturing and calibrating an innovation ecosystem, in particular to a device and method for defining innovation ecosystem, identifying and collecting innovation signals and enriching, connecting and analyzing the innovation signals and presenting and visualizing innovation ecosystem insights to a user.

BACKGROUND

[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in-and-of-themselves may also be inventions.
[0003] With the advent of digitalization of enterprises and the convergence of physical and digital assets and capabilities, digital technologies have become an integral part of any business process. They have become the core of differentiation and sustenance for any business. Technology innovation has now become a hygiene factor for any business, and an innovation ecosystem has become a source of differentiation and sustenance for an enterprise. Currently, entire innovation ecosystems of enterprises are competing with each other to deliver differentiation and create measurable value for their respective clients or customers.
[0004] The digitalization movement is unearthing an explosion of opportunities for enterprises to apply technology, innovate their business process and deliver value to their customers. The rapid rate of change in digital and other technology options are influencing the rate of change of business models and operations. This specification recognizes that it is imperative for executives and the key stakeholders of an enterprise to be apprised of such changes in their respective dynamically evolving innovation ecosystems, to stay ahead in their respective businesses.
[0005] In the changing digitalizing environment, an enterprise environment comprises of heterogeneous entities interacting directly or indirectly with different parts of the enterprise. Each of these entities may undergo certain changes that may be announced by them or observed in their environment through indirect observations. These changes may result by design, by the entities actions or their interactions in the environment that they operate in. Some of these entities and the changes in their structure, operations, strategy or relationships may be of interest and relevance to the enterprise for its functioning, operations, strategy, planning, and business. Currently, these signals of change, or innovation signals are absorbed by the enterprise in an ad-hoc, piecemeal and unstructured manner at multiple levels of decision making within the enterprise. Secondly, the persistence and continuity of these signals are typically broken, and rarely a common operating picture of the innovation eco-system is created which is consistent and reflects the ground situation. Hence, there is a need to create a mechanism that can build a visualization of the innovation eco-system of an enterprise in a consistent and robust manner that reflect the true-to-the-ground picture of the innovation signals comprising and emanating from the dynamically evolving eco-system.

OBJECT OF THE INVENTION

[0006] It is an object of the present invention to define, detect, extract, categorize, connect, analyze and visualize innovation signals from the innovation ecosystem of the enterprise for insightful decision making by users such as executives across strategy, marketing, operational functions, etc.
[0007] Another object of the present invention is to facilitate the visibility of an innovation ecosystem through innovation signals.
[0008] Yet another object of the present invention is to automate the collection of the innovation signals and efficiently derive innovation insights for the executives. Innovation insights make it easier for the executives to track the ecosystem and make insightful decisions for staying ahead in the market.

SUMMARY OF THE INVENTION

[0009] The present invention mainly cures and solves the technical problems existing in the prior art. In response to these problems, the present invention provides a device and method for defining innovation ecosystem model, identifying and collecting innovation signals and connecting and analyzing the innovation signals and presenting and visualizing innovation insights to a user.
[0010] An aspect of the present disclosure relates to a method for collecting innovation signals from an innovation ecosystem of an enterprise and presenting and visualizing innovation insights to a user. The method includes a step of identifying inputs through a modeler module to define a boundary condition to obtain an innovation ecosystem model. The innovation ecosystem model includes data pertaining to a plurality of enterprises, relationships between the enterprises, roles of the enterprises, capabilities of the enterprises, value propositions of the enterprises, markets addressed by the enterprises, financials of the enterprises and demographics of the enterprises. The method includes the step of storing the identified inputs in a database. The relationships between the enterprises and the demographics of the enterprises and the innovation signals are periodically updated in the database. The method includes a step of detecting and collecting the innovation signals from various data sources corresponding to the defined boundary condition and categorizes the extracted innovation signals into various entities through an enricher module.
[0011] A novel aspect of the present disclosure relates to defining an innovation signal as changes in a 5-tuple structure. The 5-tuple structure includes a context (C), a use-case or product categories (U), a process (P) and technology (T) of a specific entity (E). Thus the innovation signal (S) is a function of context, use-case, process and technology for the specific entity.
[0012] S = f(C,U,P,T,E)
[0013] Specific functional form of the 5-tuple structure may include a simple selection of one of the value from the pre-defined sets of contexts, use-cases, processes, technologies, and entities. In an aspect, the 5-tuple structure may be a logical combination or an analytical combination of contexts, use-cases, processes, technologies, and entities.
[0014] The enricher module connects the categorized entities into relationships, use cases, technologies, business processes, product categories and enriches the innovation signals with the inputs in the innovation ecosystem model. Further, the method includes the step of receiving the enriched innovation signals and utilizing tool units to leverage the innovation signals for presenting and visualizing the innovation insights to influence one or more strategic decisions of the user through an explorer module.
[0015] In an aspect, the plurality of inputs comprising data pertaining to a plurality of technologies, a plurality of use cases, a plurality of focus business processes and a plurality of product categories to define the boundary condition.
[0016] In an aspect, the enricher module continuously enriches the innovation ecosystem model with the inputs from the collected innovation signals in a hybrid model.
[0017] In an aspect, the enricher module utilizes a non-relational database adaptable to increase and evolve in size and components dynamically.
[0018] In an aspect, the plurality of tool units comprising a search engine, a recommendation engine, a timeline pattern detection module, a strength, weakness, opportunity, and threat (SWOT) dashboard, a pre-configured chart(s), a custom dashboard(s), and briefing data.
[0019] An aspect of the present disclosure relates to an innovation insights presentation device for collecting innovation signals from an innovation ecosystem of an enterprise, enriching and analyzing the innovation signals and presenting and visualizing innovation insights to a user. The innovation insights presentation device includes a processor, and a memory communicatively coupled to the processor. The memory stores instructions, which, on execution by the processor, causes the processor to define a boundary condition to obtain an innovation ecosystem model by receiving inputs through a modeler module. In an aspect, the innovation ecosystem model comprising data pertaining to enterprises, relationships between the enterprises, roles of the enterprises, capabilities of the enterprises, value propositions of the enterprises, markets addressed by the enterprises, financials of the enterprises and demographics of the enterprises. The processor is further configured to detect and collect the innovation signals from a plurality of data sources corresponding to the defined boundary condition and categorizes the extracted innovation signals into a plurality of relationships entities through an enricher module. In an aspect, the enricher module connects the categorized entities into a plurality of relationships and enriches the innovation signals with the plurality of inputs in the innovation ecosystem model. The processor is further configured to receive the enriched innovation signals and utilizes tool units to leverage the innovation signals for presenting and visualizing the innovation insights to influence one or more strategic decisions of the user through an explorer module.
[0020] An aspect of the present disclosure relates to a non-transitory computer-readable storage medium comprising a set of executable instructions stored thereon that, when executed by one or more processors, cause the processors to define a boundary condition to obtain an innovation ecosystem model by receiving a plurality of inputs through a modeler module. The innovation ecosystem model includes data pertaining to enterprises, relationships between the enterprises, roles of the enterprises, capabilities of the enterprises, value propositions of the enterprises, markets addressed by the enterprises, financials of the enterprises and demographics of the enterprises. The process then detects and collects the innovation signals from data sources corresponding to the defined boundary condition and categorizes the extracted innovation signals into a plurality of relationships entities through an enricher module. The enricher module connects the categorized entities into a plurality of relationships and enriches the innovation signals with the plurality of inputs in the innovation ecosystem model. The processor is then configured to receive the enriched innovation signals and utilizes a plurality of tool units to leverage the innovation signals for presenting and visualizing the innovation insights to influence one or more strategic decisions of the user through an explorer module.
[0021] Accordingly, one advantage of the present invention is that it defines, detects, extracts, categorizes, connects, analyses and visualizes innovation signals from the innovation ecosystem of the enterprise for insightful decision making by users such as executives across strategy, marketing, operational functions, etc.
[0022] Accordingly, one advantage of the present invention is that it enables users such as an executive or key stakeholder of the enterprise to automatically track and visualize the changes in the innovation ecosystem of the enterprise.
[0023] Accordingly, one advantage of the present invention is that it automates the collection of the innovation signals and efficiently derives innovation insights for the executives to visualize. Innovation insights make it easier for the executives to track the ecosystem and make insightful decisions for staying ahead in the market.
[0024] Other features of embodiments of the present disclosure will be apparent from accompanying drawings and from the detailed description that follows.
[0025] Yet other objects and advantages of the present invention will become readily apparent to those skilled in the art following the detailed description, wherein the preferred embodiments of the invention are shown and described, simply by way of illustration of the best mode contemplated herein for carrying out the invention. As we realized, the invention is capable of other and different embodiments, and its several details are capable of modifications in various obvious respects, all without departing from the invention. Accordingly, the drawings and description thereof are to be regarded as illustrative in nature, and not as restrictive.

BRIEF DESCRIPTION OF THE DRAWINGS
[0026] In the figures, similar components and/or features may have the same reference label. Further, various components of the same type may be distinguished by following the reference label with a second label that distinguishes among the similar components. If only the first reference label is used in the specification, the description applies to any one of the similar components having the same first reference label irrespective of the second reference label.
[0027] FIG. 1 illustrates a block diagram of the present system for collecting a plurality of innovation signals from an innovation ecosystem of an enterprise and presenting and visualizing innovation insights to a user, in accordance with at least one embodiment.
[0028] FIG. 2 illustrates a block diagram of the various modules within a memory of innovation insights presentation device for collecting a plurality of innovation signals from an innovation ecosystem of an enterprise and presenting and visualizing innovation insights to a user, in accordance with at least one embodiment.
[0029] FIG. 3 illustrates a flowchart of the method for collecting a plurality of innovation signals from an innovation ecosystem of an enterprise and presenting and visualizing innovation insights to a user, in accordance with at least one embodiment.
[0030] FIG. 4 illustrates a block diagram of the innovation signal that is defined as changes in a 5-tuple structure, in accordance with at least one embodiment.

DETAILED DESCRIPTION OF THE ILLUSTRATIVE EMBODIMENTS

[0031] The present disclosure is best understood with reference to the detailed figures and description set forth herein. Various embodiments have been discussed with reference to the figures. However, those skilled in the art will readily appreciate that the detailed descriptions provided herein with respect to the figures are merely for explanatory purposes, as the methods and systems may extend beyond the described embodiments. For instance, the teachings presented and the needs of a particular application may yield multiple alternative and suitable approaches to implement the functionality of any detail described herein. Therefore, any approach may extend beyond certain implementation choices in the following embodiments.
[0032] Systems and methods are disclosed for collecting a plurality of innovation signals from an innovation ecosystem of an enterprise and presenting and visualizing innovation insights to a user. Embodiments of the present disclosure include various steps, which will be described below. The steps may be performed by hardware components or may be embodied in machine-executable instructions, which may be used to cause a general-purpose or special-purpose processor programmed with the instructions to perform the steps. Alternatively, steps may be performed by a combination of hardware, software, firmware, and/or by human operators.
[0033] Embodiments of the present disclosure may be provided as a computer program product, which may include a machine-readable storage medium tangibly embodying thereon instructions, which may be used to program a computer (or other electronic devices) to perform a process. The machine-readable medium may include, but is not limited to, fixed (hard) drives, magnetic tape, floppy diskettes, optical disks, compact disc read-only memories (CD-ROMs), and magneto-optical disks, semiconductor memories, such as ROMs, PROMs, random access memories (RAMs), programmable read-only memories (PROMs), erasable PROMs (EPROMs), electrically erasable PROMs (EEPROMs), flash memory, magnetic or optical cards, or other type of media/machine-readable medium suitable for storing electronic instructions (e.g., computer programming code, such as software or firmware).
[0034] Various methods described herein may be practiced by combining one or more machine-readable storage media containing the code according to the present disclosure with appropriate standard computer hardware to execute the code contained therein. An apparatus for practicing various embodiments of the present disclosure may involve one or more computers (or one or more processors within a single computer) and storage systems containing or having network access to computer program(s) coded in accordance with various methods described herein, and the method steps of the disclosure could be accomplished by modules, routines, subroutines, or subparts of a computer program product.
[0035] The present invention discloses a device and method, whereby the innovation ecosystem model may be defined by using machine learning. Further, the present device and method identify and collects innovation signals and presents the innovation insights to the user.
[0036] Although the present disclosure has been described with the purpose of for defining innovation ecosystem model, identifying and collecting innovation signals and presenting and visualizing innovation insights to a user, it should be appreciated that the same has been done merely to illustrate the invention in an exemplary manner and to highlight any other purpose or function for which explained structures or configurations could be used and is covered within the scope of the present disclosure.
[0037] The term “machine-readable storage medium” or “computer-readable storage medium” includes, but is not limited to, portable or non-portable storage devices, optical storage devices, and various other mediums capable of storing, containing, or carrying instruction(s) and/or data. A machine-readable medium may include a non-transitory medium in which data can be stored, and that does not include carrier waves and/or transitory electronic signals propagating wirelessly or over wired connections. Examples of a non-transitory medium may include but are not limited to, a magnetic disk or tape, optical storage media such as compact disk (CD) or versatile digital disk (DVD), flash memory, memory or memory devices.
[0038] FIG. 1 illustrates a block diagram of the present system 100 for collecting a plurality of innovation signals from an innovation ecosystem of an enterprise and presenting and visualizing innovation insights to a user, in accordance with at least one embodiment. Innovation ecosystem is a network of organizations or entities such as suppliers, customers, competitors, complementers, intermediaries, government regulators, and investors that are involved in the delivery of a specific product or service through competition and cooperation. The enterprise exists in the innovation ecosystem which is dynamic and continuously evolving and may interact directly or indirectly with different parts of the enterprise.
[0039] Innovation signals are relevant changes that are reflected either directly announced or observed in relevant entities around digital innovation or technology innovations emanating from the innovation ecosystem. The entities are classified into core entities (organizations) that directly impact the enterprise in their operations and influencing entities that are at the macro level representing a country, industry, technology or regulations. The innovation signals emanating from the former are classified as micro innovation signals and from the latter are classified as macro innovation signals.
[0040] In an embodiment, examples of the innovation signals include but not limited to a plurality of micro-innovation signals (based on the context of the innovation signal) that capture the changes in the innovation ecosystem of the enterprise around a plurality of key vectors such as capabilities, value proposition, markets, and financial model.
[0041] Enterprises create capabilities to compete and differentiate in the market place. The innovation signals of capabilities of the enterprises include but not limited to talent, facilities, executives, partnerships, mergers and acquisitions, research and development, patents, and external risks.
[0042] Enterprises leverage their capabilities to deliver a value proposition which is a product or a service in various stages. The innovation signals of value proposition include but not limited to product/services research, product/services launch, and product/services deploy.
[0043] Enterprises sell their value propositions to the markets they serve. The innovation signals of the market include but not limited to geographies play, markets or product/service category play, and financial performance.
[0044] Enterprises leverage their capabilities to deliver value propositions to the markets they serve resulting in financial performance. The innovation signals of financial performance include but not limited to financial results of the enterprises present in the innovation ecosystem.
[0045] The above-mentioned micro innovation signals are mutually exclusive contexts and cover the relevant activities of an enterprise for tracking, and each of the micro-innovation signals described above is either value creating or value depleting for the associated enterprise. This attribute reflects the changes in the strength or weakness of the enterprise.
[0046] Also, there are at least four pre-configured macro innovation signals that capture the changes in the overall business environment not specifically attributable to an individual enterprise in terms of regulations, industry, geography (country), economy. The difference between micro and macro innovation signals is that the micro-innovation signals are always associated with an enterprise in the ecosystem and are either value creating or value depleting for that organization. Whereas, the macro innovation signals are associated with the environment where the enterprise is operating and would cover the regulators, government agencies, industry, geography/country, etc.
[0047] System 100 includes an innovation insights presentation device 102 that accurately collects the innovation signals from the innovation ecosystem of the enterprise and presents the innovation insights to the user. In particular, innovation insights presentation device 102 defines a boundary condition to obtain an innovation ecosystem model by receiving the inputs. The innovation insights presentation device 102 then detects and collects the innovation signals from a plurality of data sources corresponding to the defined boundary condition and categorizes the extracted innovation signals into a plurality of relationships entities. The primary data sources of innovation signals include but not limited to press releases, annual reports, social media feeds, official websites, information service providers, and commercial registers. To validate the veracity of the collected innovation signals, the collected innovation signals are tagged as either confirmed, unconfirmed or speculative, based on the data sources of the innovation signals.
[0048] Innovation insights presentation device 102 connects the categorized entities into a plurality of relationships and enriches the innovation signals with the plurality of inputs in the innovation ecosystem model. Then the innovation insights presentation device 102 receives the enriched innovation signals and utilizes tool units to leverage the innovation signals for presenting and visualizing the innovation insights to influence one or more strategic decisions of the user. Entities, leaders, and geographies are tagged to enrich the innovation signal. Every innovation signal is time-stamped as a de-facto attribute.
[0049] FIG. 4 illustrates a block diagram 400 of the innovation signal that is defined as changes in a 5-tuple structure, in accordance with at least one embodiment. In an embodiment, the innovation signal is defined as changes in a 5-tuple structure. The 5-tuple structure includes a context (C), a use-case or product category (U), a process (P) and technology (T) of a specific entity (E). Thus the innovation signal (S) is a function of context, use-case, process and technology for the specific entity.
[0050] S = f(C,U,P,T,E)
[0051] Specific functional form of the 5-tuple structure may include a simple selection of one of the value from the pre-defined sets of contexts, use-cases or product categories, processes, technologies, and entities. In an aspect, the 5-tuple structure may be a logical combination or an analytical combination of contexts, use-cases or product categories, processes, technologies, and entities.
[0052] The innovation insights may be presented to the user by a plurality of computing devices 104 (for example, a laptop 104a, a desktop 104b, and a smartphone 104c). The innovation signals may be stored within a plurality of computing devices 104. Other examples of a plurality of computing devices 104, may include but are not limited to a phablet and a tablet. Alternatively, the innovation signals may be stored on a server 106 and may be accessed by a plurality of computing devices 104 via a network 108. Network 108 may be a wired or a wireless network, and the examples may include but are not limited to the Internet, Wireless Local Area Network (WLAN), Wi-Fi, Long Term Evolution (LTE), Worldwide Interoperability for Microwave Access (WiMAX), and General Packet Radio Service (GPRS).
[0053] When a user of laptop 104a, for example, wants to visualize innovation insights, laptop 104a communicates the same with innovation insights presentation device 102, via network 108. The innovation insights presentation device 102 then presents innovation insights as per the user's request. To this end, innovation insights presentation device 102 includes a processor 110 that is communicatively coupled to a memory 112, which may be a non-volatile memory or a volatile memory. Examples of non-volatile memory may include, but are not limited to flash memory, a Read Only Memory (ROM), a Programmable ROM (PROM), Erasable PROM (EPROM), and Electrically EPROM (EEPROM) memory. Examples of volatile memory may include but are not limited Dynamic Random Access Memory (DRAM), and Static Random-Access memory (SRAM).
[0054] Processor 110 may include at least one data processor for executing program components for executing user- or system-generated requests. A user may include a person, a person using a device such as those included in this disclosure, or such a device itself. Processor 110 may include specialized processing units such as integrated system (bus) controllers, memory management control units, floating point units, graphics processing units, digital signal processing units, etc.
[0055] Processor 110 may include a microprocessor, such as AMD® ATHLON® microprocessor, DURON® microprocessor OR OPTERON® microprocessor, ARM's application, embedded or secure processors, IBM® POWERPC®, INTEL'S CORE® processor, ITANIUM® processor, XEON® processor, CELERON® processor or other line of processors, etc. Processor 110 may be implemented using mainframe, distributed processor, multi-core, parallel, grid, or other architectures. Some embodiments may utilize embedded technologies like application-specific integrated circuits (ASICs), digital signal processors (DSPs), Field Programmable Gate Arrays (FPGAs), etc.
[0056] Processor 110 may be disposed of in communication with one or more input/output (I/O) devices via an I/O interface. I/O interface may employ communication protocols/methods such as, without limitation, audio, analog, digital, RCA, stereo, IEEE-1394, serial bus, universal serial bus (USB), infrared, PS/2, BNC, coaxial, component, composite, digital visual interface (DVI), high-definition multimedia interface (HDMI), RF antennas, S-Video, VGA, IEEE 802.n/b/g/n/x, Bluetooth, cellular (e.g., code-division multiple access (CDMA), high-speed packet access (HSPA+), global system for mobile communications (GSM), long-term evolution (LTE), WiMax, or the like), etc.
[0057] Memory 112 further includes various modules that enable innovation insights presentation device 102 to collect innovation signals from the innovation ecosystem of the enterprise and presents the innovation insights as requested by the user. These modules are explained in detail in conjunction with FIG. 2. Innovation insights presentation device 102 may further include a display 114 having a User Interface (UI) 116 that may be used by a user or an administrator to initiate a request to view innovation insights in a specific domain and provide various inputs to innovation insights presentation device 102. Display 114 may further be used to display innovation insights. The functionality of innovation insights presentation device 102 may alternatively be configured within each of plurality of computing devices 104.
[0058] FIG. 2 illustrates a block diagram of the various modules within a memory 112 of innovation insights presentation device for collecting a plurality of innovation signals from an innovation ecosystem of an enterprise and presenting and visualizing innovation insights to a user, in accordance with at least one embodiment. Memory 112 includes a modeler module 202, an enricher module 204 and an explorer module 206.
[0059] Modeler module 202 defines a boundary condition to obtain an innovation ecosystem model by receiving a plurality of inputs. In an embodiment, the innovation ecosystem model includes data pertaining to a plurality of enterprises, relationships between the plurality of enterprises, roles of the enterprises, capabilities of the enterprises, value propositions of the enterprises, markets addressed by the enterprises, financials of the enterprises and demographics of the enterprises. In an embodiment, the plurality of inputs comprising data pertaining to a plurality of technologies, a plurality of use cases, a plurality of focus business processes and a plurality of product categories to define the boundary condition.
[0060] Enricher module 204 detect and collect the innovation signals from a plurality of data sources corresponding to the defined boundary condition and categorizes the extracted innovation signals into a plurality of relationships entities. In an embodiment, the enricher module 204 connects the categorized entities into a plurality of relationships and enriches the innovation signals with the plurality of inputs in the innovation ecosystem model. In an embodiment, the enricher module 204 continuously enriches the innovation ecosystem model with the inputs from the collected innovation signals in a hybrid model. Hybrid model is a combination of automation and manual curation for quality validation to update the innovation ecosystem model in real-time. In an embodiment, the enricher module 204 utilizes a non-relational database adaptable to increase in size dynamically and to connect signals to form relationships on an ongoing basis. Example of the non-relational database is a NoSQL database or a graph database.
[0061] Explorer module 206 receives the enriched innovation signals and utilizes a plurality of tool units to leverage the innovation signals for presenting and visualizing the innovation insights to influence one or more strategic decisions of the user. In an embodiment, the tool units include a search engine, a recommendation engine, a timeline pattern detection module, a strength, weakness, opportunity, and threat (SWOT) dashboard, a pre-configured chart, a custom dashboard, and briefing data. Each of the toll units can be customized to suit the user needs.
[0062] FIG. 3 illustrates a flowchart 300 of the method for collecting a plurality of innovation signals from an innovation ecosystem of an enterprise and presenting and visualizing innovation insights to a user, in accordance with at least one embodiment. The method includes a step 302 of identifying inputs through a modeler module to define a boundary condition to obtain an innovation ecosystem model. The innovation ecosystem model includes data pertaining to a plurality of enterprises, relationships between the enterprises, roles of the enterprises, capabilities of the enterprises, value propositions of the enterprises, markets addressed by the enterprises, financials of the enterprises and demographics of the enterprises. In an embodiment, the plurality of inputs comprising data pertaining to a plurality of technologies, a plurality of use cases, a plurality of focus business processes and a plurality of product categories to define the boundary condition.
[0063] The method includes the step 304 of storing the identified inputs in a database. The relationships between the enterprises and the demographics of the enterprises are periodically updated in the database. In addition to the enterprises, the relevant technologies are included as entities in the database. The focus business processes and the relevant use cases and product categories where the enterprise plays are configured as well.
[0064] The method includes a step 306 of detecting and collecting the innovation signals from various data sources corresponding to the defined boundary condition and categorizes the extracted innovation signals into various entities through an enricher module. The enricher module connects the categorized entities into a plurality of relationships and enriches the innovation signals with the inputs in the innovation ecosystem model. In an embodiment, the enricher module continuously enriches the innovation ecosystem model with the inputs from the collected innovation signals in a hybrid model. In an embodiment, the enricher module utilizes a non-relational database adaptable to increase in size dynamically.
[0065] In operation, enricher module may use Natural Language Processing Algorithms (NLP algorithms) to detect innovation signals, extract them from the multiple sources, categorizes them into contexts as defined by the keywords, enriches the signals with the associated technologies, entities, use cases, industry business processes, product categories and plugs them into a graph database. Wherever there are gaps in the enriching information triad of a business signal, they are subsequently filled based on subsequent innovation signals. The enrichment is an on-going process which leverages and strengthens the modeled ecosystem. As the enrichment process evolves, connections are made between entities, innovation signals, and its attributes. These connections enrich the ecosystem with new insights for exploration.
[0066] Further, the method includes the step 308 of receiving the enriched innovation signals and utilizing tool units to leverage the innovation signals for presenting and visualizing the innovation insights to influence one or more strategic decisions of the user through an explorer module. In an aspect, the plurality of tool units comprising a search engine, a recommendation engine, a timeline pattern detection module (Alerts and Early Warning Signals), a strength, weakness, opportunity, and threat (SWOT) dashboard, a pre-configured chart, a custom dashboard, and briefing data.
[0067] The explorer module presents innovation insights for executives to identify blind-spots and to become aware of evolving threats. The explorer module applies various algorithms to the collected data to identify the blind-spots. Information triad of the present method is leveraged to identify the blind-spots, which would be a technology, business process, entity (potential competitor or a partner) or a use-case or product category. With the help of a known information component in the information triad, one derives the unknown component through a search process within the database. This results in the listing of information components that would be of compelling value to the executives in eliminating the blind-spots in their strategy.
[0068] Early-Warning Signals: As the innovation signals are time-stamped, time-series pattern recognition of innovation signals across various dimensions are conducted to identify evolving threats for the organization delivered as Early-Warning Signals. To this end, custom pattern recognition algorithms are leveraged to identify evolving threats. The threats are delivered as alerts to the executives either on an ad-hoc or periodic basis.
[0069] SWOT Dashboard: The richness of the innovation signals coupled with the modeled innovation ecosystem provides an opportunity to view the ecosystem with the players and their associated strengths and weaknesses based on the no of innovation signals and the associated value allocated to each of them. The value weightage can be customized based on enterprise needs. The entire innovation ecosystem can be visually explored in the SWOT dashboard.
[0070] Pre-Configured Charts: In addition to the above there are multiple pre-configured charts like the bubble charts, heat-maps, alluvial diagrams, etc. that are configured to visualize insights at the intersection of any two dimensions in the innovation signals (organizations vs. technologies or technologies vs. use-cases or organizations vs. business process focus or organizations vs. use-cases, etc.)
[0071] Custom reports and dashboards: Given the richness of the datasets created through the innovation signals, multiple custom reports and dashboards can be created and deployed based on the lens that the executives want to use.
[0072] Thus the present device and method provide an efficient, simpler and more elegant framework that defines innovation ecosystem model, identifies and collects the innovation signals and presenting and visualizing innovation insights to the user.
[0073] While embodiments of the present disclosure have been illustrated and described, it will be clear that the disclosure is not limited to these embodiments only. Numerous modifications, changes, variations, substitutions, and equivalents will be apparent to those skilled in the art, without departing from the scope of the disclosure, as described in the claims.