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Aligning Desktop Analytics to Drive
Enterprise Performance
January 14, 2014
Aligning Desktop Analytics to Drive Enterprise
Performance
What to Expect Today

Introduction
The latest research in desktop analytics

Q&A

1

© 2006-2013 by OpenSpan, Inc. All rights reserved.
Meet the Speakers

Donna Fluss
Founder & President
DMG Consulting

2

Anna Convery
EVP, Strategy
OpenSpan

© 2006-2013 by OpenSpan, Inc. All rights reserved.
Customer-Focused Strategy, Operations & Technology

Desktop Analytics & Automation

January 14, 2014

Donna Fluss, President
Desktop Analytics
Desktop
Applications

Process
Automation
Employee Activity
Tracking &
Process Analytics

DESKTOP
ANALYTICS

Employee
Guidance

Staff

System
Performance
Analytics
Workflow

STRUCTURED OUTPUT
Improve
Improve
Identify
employee compliance &
system
performance reduce risk inefficiencies

Provide
employee
guidance

Streamlines Automate
servicing
manual
systems
tasks
© 2013 DMG Consulting LLC

4
Employee Activity Tracking
EMPLOYEE ACTIVITY TRACKING

SCORE

Applications used by employees
Application usage by total time
Application usage by percentage
Screen usage by total time
Screen usage by percentage
Application usage by employee vs. department average
Time spent on the Internet
Actual usage patterns vs. expected process flow
% adherence to process flows
Application idle time

© 2013 DMG Consulting LLC

5
Employee Guidance/Next-Best Action

Verify
Caller

Offer
X,Y, Z

Identify
Cell
Number

Fraud
Risk
High-value
Customer

Script

© 2013 DMG Consulting LLC

6
Process Automation: Common Uses
Propagating data across applications and
systems
Cutting and pasting between applications
and screens
Embedding logic checks based on
business rules
Preventing employees from making errors
Launching other applications needed to
complete a case or work item
Enabling the creation of composite screens
Pausing and resuming recording for PCIadherence

© 2013 DMG Consulting LLC

7
Workflow

© 2013 DMG Consulting LLC

8
What DA Fixes
Disparate technology from merged enterprises
Non-integrated servicing applications
Complex and inflexible Siebel installations that
are expensive to update
Access to multiple underlying servicing
applications for agents
Access to information required to address
customer inquiries
Redundant data entry – cut and paste
Lack of spell check in outdated CRM
applications
Absence of CRM, servicing or sales
applications
Dependence on IT to make system changes
Limited life of existing servicing applications
© 2013 DMG Consulting LLC

9
Takeaways
DA provides transparency into everything employees are doing at their desktop
DA is flexible, less expensive and quicker than trying to fix many underlying
servicing applications
DA should be applied to front and back-office operating environments
DA enhances staff satisfaction and productivity at the same time as it reduces
errors and improves quality
DA identifies process breakdowns and improves the customer journey
DA is a gift – it can dramatically improve service quality, staff productivity, the
customer experience, and differentiate your service

© 2013 DMG Consulting LLC

10
Thank You!
6 Crestwood Drive, West Orange, NJ 07052
tel 973.325.2954 | cell 973.493.0120 | fax 973.325.2071 | donna.fluss@dmgconsult.com
© 2013 DMG Consulting LLC

11
Business Insights
•
•
•

Find Inefficient Processes
Reduce Variability
Identify Training Issues

•

Measure Workers to Gold
Standard Behaviors
Incent Workers Based on
Goals and Outcomes

Operational
Efficiency

•

Worker
Performance

Application
Support
12

•
•
•

Capture Application Usage
Prioritize Maintenance
Record Error Steps

© 2006-2013 by OpenSpan, Inc. All rights reserved.
Business Insights
Track Internal & External Compliance
Measure Process Adherence
Fraud Detection and Prevention

•
•

Risk and
Compliance

•
•
•

Understand repeat transaction drivers
Correlate customer
satisfaction to behavior
Customer Acquisition Retention
& Growth

•

Customer
Satisfaction

•
•

Revenue
Generation
13

•

Understand repeat transaction drivers
Correlate customer
satisfaction to behavior
Customer Acquisition Retention
& Growth

© 2006-2013 by OpenSpan, Inc. All rights reserved.

Before

After
Q&A

14

© 2006-2013 by OpenSpan, Inc. All rights reserved.
Thank You for Participating!
If you would like more information, feel free to send us an
email or give us a call.

info@openspan.com
US/Canada: +1 (678) 527-5400, (877) 733-1136
UK: +44 (0) 207 043 3573
India: +91 80 40300 780
Join the OpenSpan conversation!

www.openspan.com
15

© 2006-2013 by OpenSpan, Inc. All rights reserved.

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Aligning Desktop Analytics to Drive Enterprise Performance

  • 1. Aligning Desktop Analytics to Drive Enterprise Performance January 14, 2014
  • 2. Aligning Desktop Analytics to Drive Enterprise Performance What to Expect Today Introduction The latest research in desktop analytics Q&A 1 © 2006-2013 by OpenSpan, Inc. All rights reserved.
  • 3. Meet the Speakers Donna Fluss Founder & President DMG Consulting 2 Anna Convery EVP, Strategy OpenSpan © 2006-2013 by OpenSpan, Inc. All rights reserved.
  • 4. Customer-Focused Strategy, Operations & Technology Desktop Analytics & Automation January 14, 2014 Donna Fluss, President
  • 5. Desktop Analytics Desktop Applications Process Automation Employee Activity Tracking & Process Analytics DESKTOP ANALYTICS Employee Guidance Staff System Performance Analytics Workflow STRUCTURED OUTPUT Improve Improve Identify employee compliance & system performance reduce risk inefficiencies Provide employee guidance Streamlines Automate servicing manual systems tasks © 2013 DMG Consulting LLC 4
  • 6. Employee Activity Tracking EMPLOYEE ACTIVITY TRACKING SCORE Applications used by employees Application usage by total time Application usage by percentage Screen usage by total time Screen usage by percentage Application usage by employee vs. department average Time spent on the Internet Actual usage patterns vs. expected process flow % adherence to process flows Application idle time © 2013 DMG Consulting LLC 5
  • 7. Employee Guidance/Next-Best Action Verify Caller Offer X,Y, Z Identify Cell Number Fraud Risk High-value Customer Script © 2013 DMG Consulting LLC 6
  • 8. Process Automation: Common Uses Propagating data across applications and systems Cutting and pasting between applications and screens Embedding logic checks based on business rules Preventing employees from making errors Launching other applications needed to complete a case or work item Enabling the creation of composite screens Pausing and resuming recording for PCIadherence © 2013 DMG Consulting LLC 7
  • 9. Workflow © 2013 DMG Consulting LLC 8
  • 10. What DA Fixes Disparate technology from merged enterprises Non-integrated servicing applications Complex and inflexible Siebel installations that are expensive to update Access to multiple underlying servicing applications for agents Access to information required to address customer inquiries Redundant data entry – cut and paste Lack of spell check in outdated CRM applications Absence of CRM, servicing or sales applications Dependence on IT to make system changes Limited life of existing servicing applications © 2013 DMG Consulting LLC 9
  • 11. Takeaways DA provides transparency into everything employees are doing at their desktop DA is flexible, less expensive and quicker than trying to fix many underlying servicing applications DA should be applied to front and back-office operating environments DA enhances staff satisfaction and productivity at the same time as it reduces errors and improves quality DA identifies process breakdowns and improves the customer journey DA is a gift – it can dramatically improve service quality, staff productivity, the customer experience, and differentiate your service © 2013 DMG Consulting LLC 10
  • 12. Thank You! 6 Crestwood Drive, West Orange, NJ 07052 tel 973.325.2954 | cell 973.493.0120 | fax 973.325.2071 | donna.fluss@dmgconsult.com © 2013 DMG Consulting LLC 11
  • 13. Business Insights • • • Find Inefficient Processes Reduce Variability Identify Training Issues • Measure Workers to Gold Standard Behaviors Incent Workers Based on Goals and Outcomes Operational Efficiency • Worker Performance Application Support 12 • • • Capture Application Usage Prioritize Maintenance Record Error Steps © 2006-2013 by OpenSpan, Inc. All rights reserved.
  • 14. Business Insights Track Internal & External Compliance Measure Process Adherence Fraud Detection and Prevention • • Risk and Compliance • • • Understand repeat transaction drivers Correlate customer satisfaction to behavior Customer Acquisition Retention & Growth • Customer Satisfaction • • Revenue Generation 13 • Understand repeat transaction drivers Correlate customer satisfaction to behavior Customer Acquisition Retention & Growth © 2006-2013 by OpenSpan, Inc. All rights reserved. Before After
  • 15. Q&A 14 © 2006-2013 by OpenSpan, Inc. All rights reserved.
  • 16. Thank You for Participating! If you would like more information, feel free to send us an email or give us a call. info@openspan.com US/Canada: +1 (678) 527-5400, (877) 733-1136 UK: +44 (0) 207 043 3573 India: +91 80 40300 780 Join the OpenSpan conversation! www.openspan.com 15 © 2006-2013 by OpenSpan, Inc. All rights reserved.

Editor's Notes

  1. Operational Efficiency:Answer the following questions – What transactions occur most frequently?What transactions take the most time?What transactions are the most variable?What can I optimize to improve efficiency?What transactions cross my organizationCase study / Customer Example:Health InsurerLook for Operational EfficienciesPeople Process PerformanceApplication Usage & Idle Time-----------------------------------------------------------------------------------------------------------Worker Performance:Answer the following questions:Who are my most efficient and least efficient workers?What workers exceed my performance and quality standards?Who will meet their sales and collections goals today?Activity Intelligence enables you to improve employee utilization and efficiency in the following ways:Validate Time Standards in Staffing Models, complement Workforce ManagementCorrelate user performance and activities with client satisfaction survey results, transactions/sales per FTE/hour, error ratios, additional HR dataMeasure detailed activities, application usage, non-productive and idle timeMeasure volumes, transaction duration, time spent on activities within a transaction (i.e. how much time was spent on the needs assessment versus the account set-up), customer/account type, products/services selected during a new account opening, maintenance activities.Coach based on facts, 100% of data and real-time visibility rather than manual observations and subsets of dataAgile tools and methods that enable the ability to adapt to rapidly changing environmentsCase Study / Customer Example:Mid Sized BankImprove publicly published efficiency metricsAI is strategic reengineering tool for cross-organizational process optimization and consolidationMeasure and improve activities associated with both front and back office processes------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------Application SupportAnswer the following questions:What applications, screens and fields are used the most in my organization?How do I prioritize support, maintenance and new features according to usage?What errors occur in my applications and how do I reproduce them?Use case / Case Study:
  2. Risk and Compliance:Answers the following questions:Are my workers following the correct internal and external processes?Where are my workers making errors that expose me to risk?Who has touched the following account and what did they do?Detect fraudulent activities and patterns--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------Customer SatisfactionWhat behaviors and transactions result in repeat processing?What behaviors are associated with poor customer satisfaction?Are my workers handling transactions appropriately?Customer Case Study – Large US TelcoApp Usage and Response TimesAutomation effectiveness and new feature adoptionCSAT, NPI versus behaviorOutsourcer performanceDisposition Analytics--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------Revenue GenerationWhat is the real-time impact to operations due to a New Product Launch?Which agents are most effective at presenting next best offers?When and why are orders being abandoned?Customer Use Case – International BankMonitor agent upsell offersPay for performance measures