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Enabling ‘End-to-End’ Customer Assurance

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Presentation on theme: "Enabling ‘End-to-End’ Customer Assurance"— Presentation transcript:

1 Enabling ‘End-to-End’ Customer Assurance
Beyond network and service assurance

2 Broadband is still growing – even during the crisis
Source: 12η Εξαμηνιαία Αναφοπά για την Ευρυζωνικότητα

3 Price reduction trend continues
Source: 12η Εξαμηνιαία Αναφοπά για την Ευρυζωνικότητα 3

4 Where are we ?

5 Assurance of Network, Service & Customer Processes
Service Problem Management Problem Handling Customer QoS / SLA Management Service Quality Management Resource Trouble Mgt. Resource Perform. Mgt. Resource Data Collection & Processing Customer related processes • Monitor reliability, performance, and quality of each user connection & device • Verify quality of service delivered to the customer • Respond to customer-reported problems • Manage customer SLAs Service related processes • Monitor reliability, performance, and quality of each service application & delivery mechanism • Verify quality of service over the network • Restore service in the event of a failure • Manage network-wide service levels Network related processes • Monitor reliability, performance, and quality of each network element • Monitor reliability, performance, and quality of each network connection • Verify availability, quantity, and quality of bandwidth delivered • Restore network connectivity and recover bandwidth in the event of a failure Majority of telecommunication service providers derive measures of customer assurance from only network and service assurance mechanisms

6 IBM’s Approach to End-to-End Network, Service & Customer Assurance
Contract & Term Management All customer related service events compared against contract and identified gaps are handled per the contract term Necessary Billing adjustments are initiated. Proactive customer interaction synchronized Service (QoS/SLA) The service status is driven by the correlation of all underlying source events against the service model and against the SLAs/QoS defined for each customer and/or service. Service Level Management aggregates services into Service Level and Line of Business Metrics Customer Problem Management Customer Contract Mgr Process Service Correlation Relates incoming raw events or correlated data to defined, end to end services Requires establishing a service model that defines interdependencies between the customer, its services and their underlying infrastructure Topology Correlation Correlate multiple and often redundant network/host/app events with the network topology to indicate the likely cause of an outage Service QoS/SLA SLA Mgr Service Mgr Correlation Network Problem Management Event Reduction Rules based correlation methods Means to dramatically reduce event volumes. Reduce Identical events by associating and canceling out related “link down” and “link up” events. Undertakes event correlation and analysis EMS Level Looks for deviators from expected behavior at the EMS Level Requires collecting metrics and drawing conclusions across those metrics so that only the “true” service affecting event is returned to the operator console Meta Mgr Infrastructure Correlation Event Mediation Mgr Event Mediation & Alarm Filtration Management Tools Performance Tools Element Mgr

7 IBM Solution to End-to-End Network, Service & Customer Assurance
Common Visualization Service Assurance - SLA and Service Performance Management Network Assurance – Real-time Network/Service Status Monitoring Customer Assurance - Customer Experience Management Off-the Shelf Service Models Historical, Real-time and Predictive Service Analytics Prioritization and Root Cause Analysis Value-added, productised integration with broad Tivoli Service Management Portfolio Open, flexible interfaces for integration with 3rd party OSS Broad Network, Service, IT, Transactional and Operational Data Source Support 7

8 IBM End-to-End Customer Assurance - Measuring the Entire Customer Experience
Customer Facing Metrics Network Facing Metrics ACQUISITION LOTUS PROVISIONING TIVOLI INFORMATION MANAGEMENT RETENTION WEBSPHERE ASSURANCE BILLING RATIONAL

9 Evolving complexity of using network-facing metrics to measure customer experience
PAST Telecom network infrastructure One connection One service One device PRESENT Telecom network infrastructure Multiple connections Multiple services Multiple devices TODAY, assuring network or service quality is only one step in assuring the customer is experiencing the overall level and quality of service they are paying for 9

10 Poor correlation of network-facing & customer-facing metrics & measurement
Unknown customer impact Resolve by highest network priority Prioritize based on network impact Detect network related problem Data source: FM & PM systems Understand customer problem Prioritize based on customer impact Resolve by highest customer priority Address other issues based on availability of time & budget Data source: Transaction usage data Mobile PSTN IP 10

11 Analyse Service Delivery Management Architecture
Service Model Analysis - A Rigorous Methodology & Process for Service Model Analysis Service Elements User Tasks Perceived QoS Factors Operational Requirements Architecture Diagram Architecture Description Transaction Flow Diagrams Telecoms Service Standards Operator Service Architecture Operator Service Description SLA Requirements SLO Requirements Telecoms QoS Standards (Candidate) KPIs (Candidate) KQIs Potential QoS Data Sources OSS/BSS Integration Requirements Required QoS Data Sources Required OSS/BSS Interfaces Operating Constraints Service Level Objectives Service Level Agreements Service Delivery Chain Model SLA Model KPI Formulae KQI Formulae Analyse Service Scenarios Analyse Service Delivery Architecture Identify KPIs And KQIs Define Service Management Architecture Management Models Inputs Process Outputs Implementation 11

12 Defining the right KQIs
Finance & Billing KQI Bills correct and issued on time Time from order to provisioning Service Provisioning Customer Care Enterprise Account Team KQI Availability SLA Performance SLA’s Customer Care SLA’s Time to answer Length of calls Resolution of problems Product Management & Marketing Senior Management KQI Service Uptake Service Revenue Cost of Delivery Customer Retention Organizational Performance Network Operations KQI Service Availability and Performance

13 IBM Customer Assurance Solution
Provides “real-time” visibility to an Individual Customer’s Experience Presents Customer Experience metrics in a web dashboard with pre-packaged views to suit the needs of the different users within a Service Provider Enables analysis of data from a number of different dimensions, like customer(s) view, service view, network view Customer Includes predefined Customer Experience metrics for the different Service Provider market offerings Allows prioritization of Customer Experience data to ensure all groups within an organization are focusing on the problems directly impacting the end user customer experience 13

14 Customer View example 14 A number of pre-defined views are available
A Breakdown of the failures per cause code Only services accessed by this user will be presented Select individual user A history of failures is presented by time and location 14

15 Service View example 15 Select one of the available services
A Breakdown of the failures per cause code A history of failures is presented by time and location and device. Current IMSI Groups impacted by Service failures 15

16 Service Assurance Solution Reference Architecture - Product Overlays
WebSphere Portal Server based -> Launch into TEP,TBSM IBM’s interpretation of TAM for Service Management Customer Service Portal TPM, WESB, WBS Fabric & WebSphere Process Server + IBM partners Tivoli Service Desk, CCMDB + IBM partners TNSQMS, TEP, WBM Problem Management Real-time Dashboards Service Navigation Service Dashboards Fulfillment Proviso Service Assure TNSQMS, Proviso Ordering Provisioning Activation Incident Trouble Ticket Root Cause Service Impact Service Quality Monitoring Service Level Management Monitors Service Quality Commitment Track Service Quality Violations Inventory Process infrastructure events to understand impact on end-users & service delivery Service Availability and Usability Voice & Video signalling Voice & Video Stream Quality Service Usage Service Desk Physical Logical Service Modeling Defines Dependencies between service components Define mapping with resources Discovers dependencies dynamically Billing Usage Promos/Credits Rebates Change Management TNSQMS ,CMDB, Provisio TNSQMS Discovery Fault Management Performance Management Security Management Signaling Analysis Transaction Analysis Infrastructure Data Probes Session Data Probes Proviso, Network Assure , ITM w/TDW , ITCAM, Omnibus, Impact ITUAM , TPM, WESB, WBS Fabric and WebSphere Process Server + IBM partners ITNM, ITM w/TDW, Omnibus , Impact OSS/BSS Integration Fulfillment ISS, TIM, TFIM,TAM, TSOM Service Assurance CMDB, Maximo Asset + IBM Partners IBM Partners ITNM, TADDM Billing ITCAM + IBM partners 16

17 Magic Quadrant for Operations Support Systems 2011

18 THANK YOU!

19 Backup

20 Customer View (1) 20 A number of pre-defined views are available
A Breakdown of the failures per cause code Only services accessed by this user will be presented Select individual user A history of failures is presented by time and location 20

21 Customer View (2) Double click on a location of interest to analyse the location specific metrics 21

22 Double click on a historical value to view the cause code breakdown
Customer View (3) Double click on a historical value to view the cause code breakdown 22

23 Customer Group View 23 A number of pre-defined views are available
A Breakdown of the failures per cause code Only services accessed by this group will be presented Select customer group A history of failures is presented by time and location and device. 23

24 Service View (1) 24 Select one of the available services
A Breakdown of the failures per cause code A history of failures is presented by time and location and device. Current IMSI Groups impacted by Service failures 24

25 View IMSI Groups CEM metrics
Service View (2) View IMSI Groups CEM metrics 25

26 Service View (3) Double click on a location of interest to analyze the location specific metrics 26

27 Nokia 3310 is the worst performer for this period
Service View (4) Nokia 3310 is the worst performer for this period Double click to get a breakdown by handset type 27

28 Search for Handset Types to monitor and analyze
Device View Search for Handset Types to monitor and analyze 28

29 Device Summary View 29

30 Search for locations to monitor and analyze
Network View Search for locations to monitor and analyze 30

31 Services Summary Bad Performance Good Performance 31


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