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IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA [email protected]

IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA [email protected]

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Page 1: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

IBM Business AnalyticsRajesh ShewaniTechnical Sales Leader – India/[email protected]

Page 2: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Smarter Telecom addresses three key issues

• IBM Telecom Frameworks: Bridging the gap between business & IT

• Data Management for Telecom

• Networks: Fault and Performance Management

• Effective Software Delivery for Telecom

• Access the information you need - anytime, anywhere

• Optimizing Business Processes using Filenet BPM

• Customer Churn & Insight for Telecommunications

• Dynamic Business Process Management

DIFFERENTIATE THE CUSTOMER

EXPERIENCE

ENABLING NEW BUSINESS

MODELS

IMPROVE OPERATIONAL EFFICIENCIES

Page 3: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

3

Source: IBM Global CIO Study 2009, n = 2345,

Unified Communications

SOA / Web Services

Business Process Management

Application Harmonization

Self-service Portals

Customer & Partner Collaboration

Mobility Solutions

Risk Management & Compliance

Virtualization

Business AnalyticsBusiness Analytics 83%

76%

71%

68%

68%

66%

64%

64%

61%

60%

Page 4: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Business Optimization Growth is 2 Times Faster thanBusiness Automation

Application Agenda

New Investments Increasingly Focus on OptimizationOrganizations Striving for Competitive Advantage

Faster Processing, Reduced Costs

Competitive Advantage

ERP & Financials

Supply Chain Management

Call Center Operations

Information Agenda

Financial Risk Insight

Dynamic Demand Planning

Customer Profitability

Page 5: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Business Analytics

Information LedTransformation

PERFORMANCEPERFORMANCE

DECISION MAKINGDECISION MAKING

TRUSTED INFORMATIONTRUSTED INFORMATION

DATADATA What should we be doing?

Why?

How are we doing?

OptimizesBusiness

Performance

Revenue Expenses

Assets

Financial Management Instrumented Interconnected Intelligent

Instrumented Interconnected Intelligent

Page 6: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Optimizing Business Performance

IT

SALES

MARKETING

CUSTOMERSERVICE

HR

OPERATIONS

PRODUCTDEVELOPMENT

FINANCE

Decide & Act

6

Page 7: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Optimizing Business Performance

IT

SALES

MARKETING

CUSTOMERSERVICE

HR

OPERATIONS

PRODUCTDEVELOPMENT

FINANCE

How are we doing?

Why?

What should we be doing?

7

Page 8: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Decide & Act

IT

SALES

MARKETING

CUSTOMERSERVICE

HR

OPERATIONS

PRODUCTDEVELOPMENT

FINANCE

How are we doing?

Why?

What should we be doing?

Informed, Aligned Decisions and Actions

8

Page 9: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Immediate Insights to Business Performance

??Decide & Act

How are we doing?

Scorecards & Dashboards

For Example…….

9

Page 10: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Example: Cognos Mobile

Delivers Cognos 8 BI content to mobile users

• Can view and interact with the exact same reports that have been authored for the Web, PDF…

Leverages the Cognos 8 platform, including security

Rich native client purpose-built for BlackBerry, Windows Mobile, Symbian

10

Page 11: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

??Decide & Act

How are we doing?

Reports

Immediate Insights

Scorecards & Dashboards

For Example…….

Immediate Insights to Business Performance

11

Page 12: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

??Decide & Act

How are we doing?

Reports Real Time Monitoring

Immediate Insights

Scorecards & Dashboards

Immediate Insights to Business Performance

For Example…….

12

Page 13: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Decide & Act

Decide & Act

Why?Decide & Act

Scorecards & Dashboards

Deeper Analysis of Trends & Patterns

Ad Hoc Query

For Example…….

13

Page 14: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Ad Hoc Query Trend & Statistical Analysis

Decide & Act

Decide & Act

Why?Decide & Act

Deeper Analysis of Trends & Patterns

For Example…….

14

Page 15: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Ad Hoc Query Trend & Statistical Analysis

Decide & Act

Decide & Act

Why?Decide & Act

Deeper Analysis of Trends & Patterns

Content/Text Analytics

For Example…….

15

Page 16: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

How are we doing?

Decide & Act

What should we be doing?

Predictive Modeling

Foresight to Plan & Allocate Resources

For Example…….

16

Page 17: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

How are we doing?

Decide & Act

What should we be doing?

Predictive Modeling Decision Management

Foresight to Plan & Allocate Resources

For Example…….

17

Page 18: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

How are we doing?

Foresight to Plan & Allocate Resources

Decide & Act

What should we be doing?

Predictive Modeling Decision Management Planning & Budgeting

For Example…….

18

Page 19: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

19

Three Questions for Business Insight

Why?How arewe doing?

What should we be doing?

Rear View Forward-Looking View

Examples of Business

Insight

Current View

• Balance sheet, profit and loss, and cash flow statements

• Revenue and cost variance analysis

• Customer, product and market profitability

• Spend optimization• Working capital analysis• Market, customer and

channel pricing• Sales and supply chain

effectiveness

• Cash forecasting• Scenario-based

planning and forecasting

• Strategic investment decision support

• Volatility and risk-based predictive and behavioral modeling

• What happened?

• How many, how often?

• What happened?

• How many, how often?

• Where exactly is the problem?

• Why is this happening?

• What actions are needed?

• Where exactly is the problem?

• Why is this happening?

• What actions are needed?

• What will happen next?

• What if these trends continue?

• What are the risks or opportunities?

• What will happen next?

• What if these trends continue?

• What are the risks or opportunities?

Key Business

Questions

Source: 2010 IBM Global CFO study

Page 20: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Telecom solution areas

Page 21: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

IBM Customer Solutions

Customer Data

SPSSData Collection

(Text Analytics - Extranet

DWDemographics

Services Licensed

Billing \ Usage

Customer Intimacy

Page 22: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Product Capabilities

IBM Cognos Consumer Insight

BLOGSBLOGS

DISCUSSION FORUMSDISCUSSION FORUMS

TWITTERTWITTER

NEWSGROUPSNEWSGROUPS

FACEBOOKFACEBOOK

Source Areas

Dimensional Analysis Filtering Voice

Keyword Search Dimensional

Navigation Drill Through to

Content

Relevant Topics Associated Themes Ranking and Volume

Relationship Tables Relationship Matrix Relationship Graph

COMPREHENSIVE ANALYSIS

SENTIMENT

EVOLVING TOPICSAFFINITY ANALYTICS

Business Drivers

Customer CareCustomer CareCorporate ReputationCorporate Reputation

Campaign EffectivenessCampaign Effectiveness

Competitive Analysis

Product Insight

MULTILINGUALMULTILINGUAL

Page 23: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

IBM Cognos Consumer Insight

Page 24: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

IBM Cognos Consumer Insight

Page 25: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

IBM Customer Solutions

Customer Data

SPSSData Collection

(Surveys + Text Analytics)

DWDemographics

Services Licensed

Billing \ Usage

Customer Intimacy

Page 26: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Insi

ght

•Quantify Sentiment•Predict Satisfaction (where there is no feedback)•Score Churn Likelihood

•Advanced Segmentation•Forecast When Customers Will Churn•Score “Next Best Offer” For Retention & Upsell

IBM Customer Solutions

Customer Data

Data Collection(Surveys + Text Mining))

DWDemographics

Services Licensed

Billing \ Usage

Customer Intimacy

Customer Intimacy

Cognos Consumer InsightCognos Consumer Insight

SPSS SPSS

SPSS SPSS

Page 27: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

SPSS Predictive Models

CDR’s

Page 28: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Predictive Analytics determines propensity to churn for every single customer

Low risk

High risk

Page 29: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Telco Analytics Solution Approach

Customer Data

SPSSData Collection

(Surveys + Text Mining)

DWDemographics

Services Licensed

Billing \ Usage

Und

erst

and

& M

ana

ge

Traditional BI

•CXX Dashboards•Churn Performance \ Analysis•Historical Call Center \ Sales Performance

Real-time BI

•Call Center Monitoring•SLA Monitoring•Prepaid Usage\Revenue Irregularity Monitor

Plan & Forecast

•Driver Based Revenue Forecasting•Marketing Expense Planning

Cognos

Insi

ght

•Quantify Sentiment•Predict Satisfaction (where there is no feedback)•Score Churn Likelihood

•Advanced Segmentation•Forecast When Customers Will Churn•Score “Next Best Offer” For Retention & Upsell

SPSS

AccountabilityAccountability

Cognos Consumer InsightCognos Consumer Insight

SPSS SPSS

SPSS SPSS

Page 30: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com
Page 31: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Telco Enterprise Dashboard

Softrware Implementation Accelerators:•Cognos Analytic Warehouse – Human Resources•Cognos Analytic Warehouse – Financial Performance•Infosphere Telco Data Warehouse – Operational Metrics•Planning Templates (Blue Prints) - CAPEX,Revenue + Expense Planning•Real-time Call Center \ SLA Management Templates (Blue Prints)

Churn

Page 32: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Telco Analytics Solution Approach

Customer Data

SPSSData Collection

(Surveys + Text Mining)

DWDemographics

Services Licensed

Billing \ Usage

Und

erst

and

& M

ana

ge

Traditional BI

•CXX Dashboards•Churn Performance \ Analysis•Historical Call Center \ Sales Performance

Real-time BI

•Call Center Monitoring•SLA Monitoring•Prepaid Usage\Revenue Irregularity Monitor

Plan & Forecast

•Driver Based Revenue Forecasting•Marketing Expense Planning

Cognos

Insi

ght

•Quantify Sentiment•Predict Satisfaction (where there is no feedback)•Score Churn Likelihood

•Advanced Segmentation•Forecast When Customers Will Churn•Score “Next Best Offer” For Retention & Upsell

SPSS

AccountabilityAccountability

Page 33: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Call Center OptimizationCall Center Optimization

Does saving 1 minute matter?Does saving 1 minute matter?

Agents

All Agent Costs Per

Hour

Hrs of operation per day

Days Closed

Per Year Annual Savings1 30 24 6 4,308

Page 34: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

‘Before vs. After’ Customer Service Center Utilization %…integration of business KPI’s/metrics into workflows

No Corrective Management Action Cognos Enabled Action

• Overstaffed• Incorrect allocation of inbound

availability vs. outbound activity.

• Managers actively notified and taking corrective action• Check with agent when

utilization is outside of tolerance (86 % – 92%)

• Throttle outbound activity• Close Rates increase 44%

Page 35: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com
Page 36: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

4 hourResponse

2 hourResponse

CRITICAL METRICS:• Diagnosis of Problem

• Time engaged per task• Severity Level

• Technical Support Staff• Management Involvement

• Dispatch/Travel• Parts Availability

• Alerts / Notifications• Resolution

Deliver Service Level Agreements (SLA’s) requiring 2- 4 hour response times when critical metrics are only delivered every hour?

36

SLA Monitoring – Support Response

Page 37: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Prepaid Irregularity Detection (Real-time)

Noticed surge at 8AM

Collects and aggregates Service Usage Events (EDRs) and Top Ups

Correlation of Revenue to Usage

Dashboards & Alerts for Usage and Revenue outside expectation– By Customer Demographics – By Service Type– By Region– By Time

Page 38: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Telco Analytics Solution Approach

Customer Data

SPSSData Collection

(Surveys + Text Mining)

DWDemographics

Services Licensed

Billing \ Usage

Und

erst

and

& M

ana

ge

Traditional BI

•CXX Dashboards•Churn Performance \ Analysis•Historical Call Center \ Sales Performance

Real-time BI

•Call Center Agent Monitoring•Business \ Operations Monitoring

Plan & Forecast

•Driver Based Revenue Forecasting•Marketing Expense Planning

Cognos

Insi

ght

•Quantify Sentiment•Predict Satisfaction (where there is no feedback)•Score Churn Likelihood

•Advanced Segmentation•Forecast When Customers Will Churn•Score “Next Best Offer” For Retention & Upsell

SPSS

AccountabilityAccountability

Page 39: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Telco Planning Examples

Sales Territory

Country

Service Service

Sales Manager

Sales Rep

Top Down Planning

Finance <--> Operations

Top Down Planning

Finance <--> OperationsDriver Based PlanningDriver Based Planning

Bottom Up ForecastBottom Up Forecast

More accurate planning can be achieved by predicting drivers

(ex. Churn Revenue Operations Expenses

More accurate planning can be achieved by predicting drivers

(ex. Churn Revenue Operations Expenses

Variance = Unmanaged Performance GAPimpacting investment and spending decisions

Telcos are revising & reforecast plans more often as a result.

Variance = Unmanaged Performance GAPimpacting investment and spending decisions

Telcos are revising & reforecast plans more often as a result. Additional “Non-Financial” Planning

ApplicationsAdditional “Non-Financial” Planning

Applications

Page 40: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

•# of Customers•Churn %•ARPU by Service

•# of Customers•Churn %•ARPU by Service

Expense & Operating Plans

Revenue Forecast

Exchange_Rates

Useful Life Assumptions

Capital Input

Depreciation Expense

Telco CAPEX, OPEX and Revenue Planning

Driver BasedMulti-LanguageMulti-CurrencyWorkflow Enabled

Financial Statements (Actual vs. Target)

Actuals

Page 41: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Telco CAPEX, OPEX and Revenue Planning(Multi-language)

Subscriber Counts

By Region By Cost CentersBy ServiceBy VersionBy Month

Page 42: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Telco CAPEX, OPEX and Revenue Planning(Multi-language)

ARPU

By Region By Cost CentersBy ServiceBy MonthBy Scenario

Page 43: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Telco CAPEX, OPEX and Revenue Planning(Multi-language)

Expense Plans

By Region By Cost CentersBy VersionBy Month

Page 44: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Income Statement Reporting(Multi-Currency Translation)

Page 45: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Forrester Wave Q4 2010 Chart for BI Offerings

Highlights

IBM is now the clear market leader in Current Offering and Strategy, having jumped ahead of SAP Business Objects.

IBM is now only vendor to be recognized as the leader in Strategy/Vision in both the ForresterWave for Enterprise BI and the Gartner Magic Quadrant for BI Platforms.

IBM leads the scoring in Current Offering, Architecture, Strategy, Product Direction (only vendor to receive a 5.00), Global Presence, Partner Ecosystem, and Functional Applications.

Page 46: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Gartner – For Predictive Analytics

Page 47: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Performance Management Platform of Choice

Telecom4 of the world’s 5 largest

Telecommunications companies

Page 48: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Other Select IBM Business Analytics Customers

Page 49: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Combined feedback management with text mining and predictive modeling in a Customer Experience Management strategy to attack churn and boost customer satisfaction• Churn reduced from 19% to 2% for broadband

customers• Satisfaction increased in over 50% of customers• 23% of “detractors” converted to “promoters”

Page 50: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Combined Feedback Management with Predictive Analytics to improve Marketing efficiency for Customer Aquisition and better cross-sell specific products into existing customer base.• Targeted “best prospects” list• 100% improvement in response for Business Highway

acquisition campaign

Page 51: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Used Predictive Analytics to better interpret marketing surveys covering topics ranging from customer satisfaction to new product introductions and therefore develop more strategic marketing programs• Improved ability to perform Market Research• Better identification of non-profitable buyers and

change of entry requirements• Increased retention rate by 13%

Page 52: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Used Predictive Analytics to better and faster target customers for marketing campaigns at a lower cost• 300% improvement on customer conversion rate• Time required to carry out campaign selections

reduced by 50%• Reduction in campaign costs in excess of one million

euros

Page 53: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Used Real-time Predictive Analytics to leverage in-bound customer interactions to drive loyalty and life time value• Shorter, more relevant calls led to increased

satisfaction for customers and agents• 20% higher retention in first 2 months• Substantial cross-selling through the inbound service

channel

Page 54: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Decide & Act

To Summarize - The Business Analytics Software Conversation

The worldis changing.

It’s becoming increasingly instrumented, interconnected and intelligent, creating

an explosion of information.

That exposition of information holds the potential to deliver actionable insights for decision makers

at all levels of your organization so they can optimize performance.

LOB / EXEC

CFO/Finance

CIO/IT

+…

IBM Software Categories:

Business Intelligence

Financial PM and Strategy Mgmt

Analytic Applications

Advanced Analytics

Optimizing performance is the ability to line up resources, opportunities and execution for optimized outcomes. It’s the ability for every decision maker to have up-to-the minute information to understand how their business is doing and why. Predictive modelling and “What if” analysis provides them with the ability to predict opportunities and threats and confidently take action. Financial and

operational planning, budgeting and forecasting puts resources in the right place and sets targets for those allocations.

Page 55: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

Next Steps

The top industry companies have invested in information and analytics, and are applying results in marketing, finance, and corporate functions to drive their business decisions. To start your journey please click here http://207.154.45.231/

Page 56: IBM Business Analytics Rajesh Shewani Technical Sales Leader – India/SA rshewani@in.ibm.com

THANK YOU