rr work samples

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XYZ Automotive Solutions The MSS-AP Solution Vision An Integration Framework targeted to improve business efficiency & agility among B2B partners such as OEMs, Dealers and other service providers in the retail chain Utilizes XYZ’s industry leading SOA integration foundation promoting ability connect with heterogeneous technology platforms including mainframe and legacy application systems MSS-AP contains routing/messaging technology elements to enable real-time transaction flow for quicker response MSS-AP contains data transformation technology to leverage industry standards such as STAR, IPO, PIES thereby allowing flexible integration among legacy systems at OEMs and Dealers Aligned with our Asset Intensive Solution strategy, MSS-AP focuses on reusability A web based platform for multi party collaboration MSS-AP is developed with a view for enterprises to maximize their investment in current IT systems while providing opportunity to develop additional business applications Framework for Automotive Retail Collaboration

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Page 1: RR Work Samples

XYZ Automotive Solutions

The MSS-AP Solution Vision

An Integration Framework targeted to improve business efficiency & agility among B2B partners such as OEMs, Dealers and other service providers in the retail chain

Utilizes XYZ’s industry leading SOA integration foundation promoting ability connect with heterogeneous technology platforms including mainframe and legacy application systems

MSS-AP contains routing/messaging technology elements to enable real-time transaction flow for quicker response

MSS-AP contains data transformation technology to leverage industry standards such as STAR, IPO, PIES thereby allowing flexible integration among legacy systems at OEMs and Dealers

Aligned with our Asset Intensive Solution strategy, MSS-AP focuses on reusability

A web based platform for multi party collaboration

MSS-AP is developed with a view for enterprises to maximize their investment in current IT systems while providing opportunity to develop additional business applications

Framework for Automotive Retail Collaboration

Page 2: RR Work Samples

XYZ Automotive Solutions

Approach to build Industry Framework and deep down assets

Page 3: RR Work Samples

XYZ Automotive SolutionsArchitects-On-Demand model focused on providing the best of Architectural capabilities to meet Customer’s demand while meeting the cost and quality objective

XYZ Account Chief Architect

Ram R

Senior Process Architect(Todd M)

Senior Architect(Bala. S)

ProjectArchitect

(Sridhar P)

ProjectProjectProject

ProjectArchitect

(Rengia V)

ProjectProjectProject

TechnologyArchitect

ProjectArchitect

(Yuvaraj K)

ProjectProjectProject

Onsite at ABCMinimum of 1 US Senior Arch, 1 Landed

Senior Arch and 3 Landed Project Architects

TechnologyArchitect

TechnologyArchitect

TechnologyArchitect

TechnologyArchitect

TechnologyArchitect

Landed resource

US Resource

Offshore – IndiaMinimum of 1 Senior Arch and

3 Technology Architects

Offshore Architects

ABC EA Leader Jose L

XYZ Account Partner

Anthony K

ABC National Manager

Jayadev G

Architecture PMO / Specialty Expertise

XYZ PMO and Specialty Skills(Anthony & Ram are non-bill)

Senior Architect (Joyil J)

ProjectArchitect

(TBD )

ProjectProjectProject

XYZ Specialty Expertise On-Demand(GBS, Research etc)

Anthony, Ram, Sham, Ian, Marty ….

ABC DomainArchitects

Page 4: RR Work Samples

XYZ Automotive Solutions

Approach to Define and Build Consumer Electronics Cloud Services

Page 5: RR Work Samples

XYZ Automotive Solutions

High Level Solution Footprint for Consumer Electronics Cloud

Single Sign-on

Single Sign-on

Content Aggregation

Content Aggregation

Single Sign-on

Single Sign-on

Content Aggregatio

n

Content Aggregatio

n

Single Sign-onSingle Sign-on

Content AggregationContent Aggregation

Merchant of RecordMerchant of Record

Customer BehaviorCustomer Behavior

Customer BehaviorCustomer Behavior

Customer BehaviorCustomer Behavior

Customer BehaviorCustomer BehaviorConsumer Content

Partner Content

Public Content

Device basedService / Content Delivery

Device basedService / Content Delivery

Device basedContent Delivery

Device basedContent Delivery

Device basedContent Delivery

Device basedContent Delivery

Device basedContent Delivery

Device basedContent Delivery

Customer BehaviorCustomer Behavior

Device basedContent Delivery

Device basedContent Delivery

Page 6: RR Work Samples

XYZ Automotive Solutions

CE device mfgrsPartner Content

Devices / Consumers

Media ManagementMedia Management

Customer Profile Management

Cloud Infrastructure & Cloud Service Management

12

5

Behavior analytics based Marketing

Service Delivery Platform4

3

5 Key Components for Cloud based Service Delivery Platform for Consumer Electronics

Page 7: RR Work Samples

XYZ Automotive SolutionsOnline Sales Engine – Framework, Blueprint, Service Model, Orchestration Model

BUSINESS SERVICES 3. Intelligent

Personalization

Common Intelligence Services

Online Sales Engine (OSE) - Intelligent Decisioning Service Model

4. Data Collection / Aggregation / Persistence

5. Mapping (i.e. UX and Content

Rules)

9. Intelligent E-Nurturing

Description:1. Rules to govern OSE tracking and monitoring of user, lead, customer, OSC staff activity to enable analyses and more intelligent treatment/interaction2. Rules to govern automatic suggestions of matching users, leads to existing customer records3. Rules and models and recommendations to enable intelligent personalization of user experience and customer interaction. Contextual, score, profile, campaign, nurturing plan, sales stage driven personalization models will be recommended4. Intelligent decisions and recommendations will rely on multiple various data inputs. This service(s) will be collecting/aggregating necessary data elements before invoking rule engine or predictive model, i.e. to obtain new recommendation or score5. Provide mapping for Intelligent Personalization Service to recommend a particular personalization model key or content cluster tag key or reference or landing page6. Calculate a score based on input parameters. Calculated score in then used to i.e. drive personalization (inbound and outbound), e-nurturing, nurturing plans, and OSC staff involvement for high scores7. In case, straight through process will be possible (when customer provides info via self-service feature), this service will enable automatic lead qualification to keep the process moving.8. Logic to enable particular lead nurturing plan selection based on lead’s attributes9. Rules to execute specific steps from e-nurturing plan (outbound emails, etc…)10. Provides propensity or probability of lead conversion or lead becoming an opportunity11. Contains the logic to enable effective and appropriate lead routing to OSC staff12. Helps drive high-touch in session interaction with a user or lead or customer13. Makes campaign targeting smarter, prior campaigns or model attributes can be used to target certain campaigns to specific users or leads or customers14. Analyses OSC staff actions in the context of the business processes to recommends improvements or adjust routing rules15. Correlates user, lead, customer activities and based on rules or models may suggest OSC staff instruction or next step recommendation or simply alert16. Provides user or business or OSC staff event processing instructions for other services or OSC staff members17. Centralized validation logic for lead and opportunity capture and other OSC staff manual input

11.OSC routing/assignment

14. OSC staff activity analyses

2. Customer Matching Logic

7. Lead Qualification Rules

10. Lead Propensity Analysis

8. Nurturing Plan Selection Rules/

Models

13. Effective Campaign Targeting

Rules/Models

1. Monitoring and Tracking Rules

12. Proactive in-session high touch

rules

6. Scoring(User, Lead, Cust)

15. OSC Staff Activity Suggestion

Rules

Description :OSE Intelligent Decisioning services are involved in OSC automation and process enablement. These set of services are the brain and interface to various rules and models, which govern the OSE platform operation. Multiple instances of rules and models created and maintained by business user community and OSC administrators will influence web channel user personalization, lead nurturing, provision of high touch services to lead and customers, among other things – all with the goal of effective utilization of self-service and high touch interaction in the context of the overall business process.

OSE INTELLIGENT DECISIONING

OSC AUTOMATION

OSE TRACKING & MONITORING

FUNCTIONAL ENABLERS

OSE CONFIGURATION

16. Event Handling Rules

17. Validation

Page 8: RR Work Samples

XYZ Automotive SolutionsWorking Model Derived from Drivers & Strategy

Head -TCG (Ram)

US Aero (Ram)

Chief Innovation Officer Delivery Head

Europe Aero (Bala)

Europe Auto (Venkat)

DC (Ram-Acting)

US Auto (TBD)

Embedded and

Consulting

Architect Team

Embedded and

Consulting

Architect Team

Embedded and

Consulting

Architect Team

Embedded and

Consulting

Architect Team

Embedded and

Consulting

Architect Team

Supporting Architects

Re-use, Tools

and

Technology Solutions

Virtual T

echnology Groups

MCOs

Lead SPM - TBD

Head -TCG (Ram)

US Aero (Ram)

Chief Innovation Officer Delivery Head

Europe Aero (Bala)

Europe Auto (Venkat)

DC (Ram-Acting)

US Auto (TBD)

Embedded and

Consulting

Architect Team

Embedded and

Consulting

Architect Team

Embedded and

Consulting

Architect Team

Embedded and

Consulting

Architect Team

Embedded and

Consulting

Architect Team

Supporting Architects

Re-use, Tools

and

Technology Solutions

Virtual T

echnology Groups

Virtual T

echnology Groups

MCOs

Lead SPM - TBD