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D10.2 SUPER Showcase. © SUPER2 Showcase presentation outline 1.Introduction to the project 2.General business introduction: today problems, challenges.

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Presentation on theme: "D10.2 SUPER Showcase. © SUPER2 Showcase presentation outline 1.Introduction to the project 2.General business introduction: today problems, challenges."— Presentation transcript:

1 D10.2 SUPER Showcase

2 © SUPER2 Showcase presentation outline 1.Introduction to the project 2.General business introduction: today problems, challenges and opportunities for improvement 3.Brief introduction to SUPER methodology and, at a very high level, architecture and ontology stack 4.Business (Telco) scenarios for each of the methodology step, in which to underline: Business view Technological challenge SUPER solution 5.Business impact 6.Next steps/objectives of the project

3 1. Introduction to the project

4 © SUPER4 SUPER Research Project EU funded research project (FP6 – ) started April years duration part of the European Semantic Systems Initiative (ESSI) cluster based on several past projects like SEKT, DIP, SWWS, and IBROW 19 educational and industrial partners

5 © SUPER5 SUPER Consortium

6 © SUPER6 SUPERs objectives Framework for semantic Business Process Management Bring BPM to the utter business experts, away from the pure technical view Intelligent and flexible reaction to change Integration of heterogeneous Business Processes Mediation inside and between organisations

7 2. General business introduction

8 © SUPER8 8 Global Business Context and Problems (1/3) Imaginable growth of information and automation New business opportunities that the information society offers, e.g. service world, e-Commerce Increase of competitiveness, many new market entrants and a challenging regulatory environment Increase of B2B relationships between companies to bundle more elaborated services Customers demand higher service integration and adaptation to their needs Fusions and alliances, country specific regulatory aspects, company internal re-organizations Shorter time-to-market for new products Demand for agile, dynamic processes 8

9 © SUPER9 9 Global Business Context and Problems (2/3) Emergence of a global knowledge-networked innovation economy: The emergence of a global knowledge-networked innovation economy tremendously changes the way in which business is conducted, resulting in rapid technological changes, shrinking product life cycles and enforcing a strong global competition. Increasing global competition and customer demand: Due to the increasing competition as well as an increase in customer independence and demand, companies of every size are shifting from being suppliers of products to suppliers of complex system solutions solving customer problems and needs by providing complete customer solutions through tightly integrated innovation value chains.

10 © SUPER10 © SUPER10 Global Business Context and Problems (3/3) Optimization of Cost-performance ratio: Companies are facing an increasing financial pressure and are required to optimize their cost-performance ratio. As a result, they focus on their core competences and serve their customer demand through tightly-integrated networks of partners and suppliers, leveraging the specialized core competencies of each member within a demand-driven global supply chain. Demand for: - Modularity, reuse and agility of business processes (enabled by service oriented architectures) - Any application supporting Speed to market - as the main driver todays business - Effective alignment of business and IT strategies

11 © SUPER11 © SUPER11 Major Business Requirements Global process automation Team process automation Fast and flexible new product innovation processes Customer intimacy Predictive business actions and processes Risk-safe compliance systems Modularity, reuse and agility of business processes Effectively aligning business and IT strategies Speed to market as the main driver of todays business Transition to SOA and SOA-compatibility of new technologies

12 © SUPER12 Main Target Market 12 The Enterprise Application software market – a giant with high global revenues [Forrester Research] The Future Of Enterprise Software, June 2006

13 © SUPER13 Business Process Management Systems (BPMS) Categories Integration-centric BPMS Human-centric BPMS © SUPER13 [Forrester Research] The Future Of Enterprise Software, June 2006

14 © SUPER14 © SUPER14 Market relevance of Business Process Management (BPM) solutions Customers choose BPM to increase flexibility, efficiency and to optimize processes, for modeling, simulation and monitoring Strategic features for a successful BPM product: strong focus on implementation time, usability, lifecycle completeness (also monitoring and analysis!) BPM solutions are chosen at the moment: To extract fragments of existing processes from heterogeneous legacy systems to achieve higher integration To counteract internal weaknesses, i.e. due to lack of visibility and monitoring for processes (e.g. due to Mergers & Acquisition) By visionaries looking for a competitive advantage BPM solutions will be chosen in the near future To concentrate on and enhance the core processes of the enterprise To improve agility and flexibility in the very dynamic context of joint- venture businesses 14

15 3. Brief introduction to SUPER methodology, architecture and ontology stack

16 © SUPER16 SUPER Methodology Framework The SUPER methodology is a set of phases, methods and techniques to perform activities using SUPER technologies. Like a traditional BPM methodology, the SUPER methodology owns a proper business process life cycle, that is enriched with the semantic connotation of the overall SUPER framework.

17 © SUPER17 SUPER Methodology The top and bottom layers in the SUPER methodology are: Strategic Semantic Business Process Management, which deals with all the elements related to a company from a strictly strategic and organizational point of view Ontological Foundation layer, which describes how SUPER artifacts are transformed and "lifted" to semantic elements: it is the SUPER Set of Ontologies for Business Process Management MULTI-DOMAIN Others SOLUTIONS MAPS SPECIFIC DOMAIN YATOSP-eTOM Others The SUPER Methodology can be applied to a specific domain (like in telco companies) as well as to generic or multiple domains (like any business described in SAP Solution Maps)

18 © SUPER18 SUPER Methodology lifecycle Semantic Business Process Modelling, strictly linked to the Ontological Foundation, permits the ontological representation of business processes, which in turn enables advanced functionalities (specifications mapping automation, process querying, process fragment reuse, etc.) Semantic Business Process Configuration enables the semi- automated mapping between high- level BP specifications and executable BPEL4SWS specifications and the integration of BPEL with Semantic Web Services Semantic Business Process Execution, is the execution of the BPs modeled and configured in the previous phases and, by the use of semantic technologies, enables the run-time resolution of semantic goals, as well run- time service discovery and composition Semantic Business Process Analysis, by the use of semantic information about BPs, enables a better understanding of context and concepts, allowing for automated matching and inference functionality in process discovery, conformance checking, process extension and in business question answering

19 © SUPER19 WSMO – Semantics for SUPER Aims: ontologize the BPM Life Cycle enable BPM technologies to deal with Semantic Web Services increase flexibility by lifting BPM technologies to the level of goal patterns The Web Service Modelling Ontology WSMO a comprehensive framework for semantically enabled SOA 4 top level notions: ontologies, Web Services, goals, mediators provides axiomatization, specification language, and a reference implementation Use of WSMO technologies in SUPER 1.describe process data on the basis of ontologies 2.flexible Web Services invocation via Goals –process activity realized as WSMO Goal –dynamic discovery / composition / execution of necessary Web Services at runtime 3.use WSMO mediators to resolve heterogeneities

20 © SUPER20 Objectives that a client may have when consulting a Web Service Provide the formally specified terminology of the information used by all other elements Semantic description of Web Services: - Capability (functional) - Interfaces (usage) Connectors between components with mediation facilities for handling heterogeneities WSMO Top-level Elements (

21 © SUPER21 Web Service Implementation (not of interest in Web Service Description) Choreography --- Service Interfaces --- Capability functional description WS - Advertising of Web Service - Support for WS Discovery client-service interaction interface for consuming WS - external visible behavior - communication structure - grounding realization of functionality by aggregation - functional decomposition - WS composition Non-functional Properties DC + QoS + Version + financial - complete item description - quality aspects - Web Service Management WS Orchestration WSMO Web Service Description

22 © SUPER22 Goal-driven Web Service Usage client-system interaction discovery, composition, mediation Client objective / problem to be solved WSMO Goals formal objective description Semantics / SWS Ontology SWS description Mediator Web Services & Resources WS Internet execution (1) Abstraction Layer for Problem-oriented WS Usage (2) Dynamic WS Usage

23 © SUPER23 SWS Usage Process GOAL Discoverer Behavioral Conformance Data Mediator Process Mediator Executor if: usable if: composition possible uses matchmaking R with all WS composition (executable) uses submission if: compatible if: successful if: execution error information lookup for particular service else: not solvable Service Repository uses Selection & Ranking Composer else: try other WS

24 © SUPER24 From Syntactic to Semantic BPEL WS XML BPEL Process WS sBPEL Process WS SWS Environment discovery composition mediation execution WSMO Goal Ontology Mediator dynamic detection at runtime b) Semantic BPEL Process a) BPEL Process

25 © SUPER25 SUPER Architecture Structural Perspective

26 © SUPER26 SUPER Ontology Stack

27 © SUPER27 Benefits Explicate Semantic Meaning of Data & Models Semantic Coherency of Information among several levels of BPM Higher Flexibility for Web Service usage Automated Handling of Potential Heterogeneities Make process definitions better understandable

28 4. Business scenarios (focused on Telco) for each of the methodology step

29 © SUPER29 Telco Business Scenarios Context CRM & Fulfilment (eTel) Telco business scenarios (Use Cases) provide through each step of SUPER life cycle give usage example of SUPER QoS in DSL (VoIP) (Nexcom) DAM Searching & Downloading (TID) DSL (VoIP) Fulfilment (TP) Starting point QoS: Quality of Service; DAM: Digital Asset Management; VoIP: Voice over IP; CRM: Customer Relationship Management

30 4a. Modelling

31 © SUPER31 Semantic Business Process Modelling First step of the SUPER Life Cycle Development of the Business Processes Model based on the Business Process Modelling Ontology (BPMO) Use of a Semantic Process Modelling Environment WSMO Studio Integrated BPMO Editor

32 © SUPER32 Modelling Requirements and Methodology Business Process Model based on: Company specific Business Function and Domain Ontologies Semantic Web Services and Goals Business Process Model sources are: Business Analyst implicit knowledge and studies (business questions, Key Performance Indicators (KPIs), business outcomes, etc.) Analysis reports created in an eventual previous Semantic Business Process (SBP) Analysis phase Several modelling methodology are possible: Start business process modelling from scratch Modify existing semantic business processes Annotating non-semantic business processes Re-use process patterns previously modeled

33 © SUPER33 Example: TID Prototype

34 © SUPER34 Benefits of SUPER Modelling Business Process Modelling Notation (BPMN) independence (BPMO representation) Discovery of existing Business Processes exploiting the semantic information Search on specified Business Function, Business Domain and Business Patterns Search on specified Business Goals, KPIs and Business Rules Automatic validation and simulation of the BPM Better readibility of models through a clear semantic Screencast:

35 4b. Configuration

36 © SUPER36 Semantic Business Process Configuration Modelled Business Processes are configured Functions supported Mapping of semantic BPEL processes (BPEL4SWS) Integration of BPEL with SWS SUPER functionalities used Task and process composition (SBP Composition) SWS and process fragment discovery (SBP Discovery) Semantic Business Process Repository

37 © SUPER37 Example: SBP Configuration Scenarios CRM & Fulfilment (eTel)DSL Fulfilment (TP) Customer Order Request

38 © SUPER38 Configuration Requirements Each subsystem (its functionalities) represented by Semantic WSs (SWS) Each SWS described by the ontology BPMO process composition Task Composition implements each BPMO task with a combination of WS Consistency Checking finds and removes bugs in the overall process Use of SUPER Ontologies Mapping BPMO into executable BPMO – all tasks bound to existing WS Domain ontologies specify how WS affect the world – basis for combining WS and for checking/fixing the process

39 © SUPER39 Benefits of SUPER Configuration Binding process to company IT infrastructure Coming from general process model to its concrete realisation Bridging the gap between business process analyst and IT professional

40 4c. Execution

41 © SUPER41 Semantic Business Process Execution Modeled and configured Semantic Business Processes are executed Execution history for SBP Analysis is produced Automates business activities Minimizes time-to-offer Supports Execution of semantic BPEL processes (BPEL4SWS) Discovery and execution of Semantic Web Services (SWS)

42 © SUPER42 After the process execution has been finished, the result is returned to the user. 6 6 SUPER RepositoriesSUPER Execution Environment Semantic Web Services Achieve Goal Discover Service Return result to engine Semantic BPEL Execution Engine (SBPELEE) Semantic Execution Environment (SEE) Semantic Web Service (SWS) SUPER Tooling Semantic Business Process Execution Scenario Monitoring Tool Execution History A user initiates the semantic BPEL process by sending a service request through the Semantic Service Bus to SBPELEE. 1 1 Invoke Service Return Result Request Service Semantic Service Bus (SSB) SBPELEE delegates the invocation of SWS to SEE by passing the WSMO Goal to it. 2 2 SEE queries the SWS repository to discover the desired SWS. 3 3 SEE invokes the selected SWS. 4 4 SEE returns the result of Achieve Goal to SBPELEE. 5 5 During the execution, execution events are published to Execution History for persistence and to the Monitoring Tool for tracking process executions.

43 © SUPER43 Example: Nexcom Customer Order Management Process Supplier Supplier exposes its process as SWS. Nexcom process is deployed as a semantic BPEL process Customer uses a client application to start the Nexcom process

44 © SUPER44 Benefits from SUPER SBP Execution Nexcom Use case requirements addressed by the SUPER SBP Execution phase Supplier matching supported by Semantic Web Service discovery and invocation from within semantic business processes Allows for more flexible traffic routing Automates supplier matching and traffic routing process taking into account all existing suppliers Minimizes time-to-offer Screencast:

45 4d. Analysis

46 © SUPER46 Semantic Business Process Analysis Analysis of executed processes Support of various analysis goals Overview over process usage Detect business exceptions Detect technical exceptions Compare As-Is with To-Be Analysis Methods Semantic Process Mining Semantic Reverse Business Engineering Semantic Business Process Analysis Semantic Business Process Modelling Semantic Business Process Execution Semantic Business Process Configuration Prerequisite for continuous improvement

47 © SUPER47 Semantic Process Mining 1.Semantic auditing Use semantic information to check for properties in logs 2.Semantic control-flow mining Use semantic information to support different levels of abstraction in the mined models 3.Semantic organizational mining Automatically derive the teams and groups in the organization based on task similarity 4.Semantic performance analysis Use semantic information to check for Service Level Agreements (SLAs), throughput times, bottlenecks etc. Case Perspective Process Perspective How? Who? When? OrganizationalPerspective

48 © SUPER48 Semantic Reverse Business Engineering (RBE) Scenario based analysis with predefined content to ensure continuous business improvement As-Is-Analysis Provide Details and statistics about executed processes Exception analysis Focus on business exceptions (deviation from the standard processes) Standardisation & Harmonisation Check compliance of processes between organisational units or with predefined guidelines User & Role analysis Check user and role behaviour and authorizations How do I get the relevant information to redesign and improve my business processes?

49 © SUPER49 © SUPER Business Question Repository Business Function Ontology RBE Ontology Sales Process Exception Analysis Scenario Based Analysis How many sales orders were cancelled? Which sales orders are locked for further processing? How many sales orders are delayed? I am interested in all exceptions of the sales process Execution History Repository Analysis Results Analysis Results Where are the bottlenecks in the sales process? Process Mining Only business questions semantically assigned to Exception Analysis and to the Sales Process are to be selected Only business questions semantically assigned to Exception Analysis and to the Sales Process are to be selected Business questions are executed on the Execution History Repository (log file) either directly or through Process Mining Business questions are executed on the Execution History Repository (log file) either directly or through Process Mining The query results are formatted and aggregated for the business user The query results are formatted and aggregated for the business user

50 © SUPER50 Analysis Results Get overview about system usage Find out exceptions within process flow Check conformance to defined Process model Find bottlenecks Get basis information to apply 6-sigma methodology How many sales orders were cancelled? Which sales orders are locked for further processing?

51 5. Business impact

52 © SUPER52 SUPER Unique Selling Proposition Semantically enriched Business Process Mgmt: SUPER bridges the gap between Business experts and IT experts in setting up new products and processes SUPER provides a new set of integrated BPM tools for Modelling Automated Composition of Processes SUPER uses Semantics to gain a new level of automation for the modelling and configuration of business processes SUPER tools are based on open standards to guarantee independence from particular vendors 52

53 © SUPER53 SUPER Unique Selling Proposition Economic advantages lower development costs and shorter time-to-market for new services and products Target Group Business Users Global players SMEs and government agencies 53

54 © SUPER54 Business Impact Better process monitoring leading to more transparency Faster reactions to emergency situations (technical problems, market requirements…) Optimization of CRM, customer analysis, market analysis Flexible product design and management Design: SUPER offers the opportunity to create new products out of a library of existing processes - in short time, without involving IT resources and without additional costs Flexible product provisioning: technical realization of business processes can be changed without redesigning the process itself Enabling the user to rapidly implement and test business processes © SUPER54

55 © SUPER55 Competitive Impact Shorter Time to Market Agile Enterprises Clear cost savings in terms of ROI (Return of Invest), DCF (Discounted Cash Flow) and FTE (Full times Equivalent) © SUPER55

56 © SUPER56 Business Opportunities Improved service discovery & matching in existing products Ontology modelling support and semantic search for existing BPM products R&D and consultancy services for early adopters Creation of custom components for the alignment of existing products with recent SWS and BPM standards Introduction of semantic BPM solutions to heterogeneous service landscapes © SUPER56

57 6. Next steps/objectives of the project

58 © SUPER58 Next steps SUPER will continue identifying and leveraging the potential of semantics in order to: enable the business user to utilize semantics in the frame of BPM, improve productivity of business processes and increase levels of quality, SUPER Use Case WPs contribute to these issues by helping organizations to understand how a Semantically Enabled Business Process Management enables an agile response to recent business changes

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