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Predicting the Customer Experience: A Convergence of Business Process, Decision Making, and Analytics
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Page 1: Predicting the Customer Experience: A Convergence of Business Process, Decision Making, and Analytics

Predicting the Customer Experience: A Convergence of Business Process,

Decision Making, and Analytics

Page 2: Predicting the Customer Experience: A Convergence of Business Process, Decision Making, and Analytics

“. . .a discipline involving any combination of

modeling, automation, execution, control,

measurement and optimization of business activity

flows, in support of enterprise goals, spanning

systems, employees, customers and partners

within and beyond the enterprise boundaries.”

What is BPM?

Page 3: Predicting the Customer Experience: A Convergence of Business Process, Decision Making, and Analytics

Phase One of BPM. . . Cross-Application Integration

Managing Screen-Flows

Abstracting Business Logic

Enabling Business Control of Business Processes

Delivering a Transactional Thread Across Systems

BPM in the First Wave (Where Most Still Are Today)

Page 4: Predicting the Customer Experience: A Convergence of Business Process, Decision Making, and Analytics

Driving Compliance and Scalability by Automating Predefined Workflows

BPM Processes Are Deterministic, Where All Possible Paths Are Pre-Determined or Known in Advance, No Matter How Complex the Pathways May Be. The Direction of the Process is Determined by the Pre-Defined Path and Current State; State is Determined by the Preceding Activity. BPM enables a transactional thread from application-to-application, activity-to-activity.

Page 5: Predicting the Customer Experience: A Convergence of Business Process, Decision Making, and Analytics

The 2nd Major Revolution in IT Architecture

1970 2020 1995

40 Years of Data-centric Application Design

Extraction & Transformation Client/Server Architecture Transaction Processing Data Synchronization

2013

Cloud Architecture Predictive Analytics

Semantic Integration Mobile, Social, Cloud

Process of Everything

The Relational Era

The Big Data Era

Page 6: Predicting the Customer Experience: A Convergence of Business Process, Decision Making, and Analytics

Shift to “Intelligent BPM” and “Smart Processes” . . . Leveraging Rules / Policies, Goals and Intelligent Agents

More Agile Execution Models Allows for Adapting to Meet Goals, Rather Than Sticking Strictly to Predefined Paths

Allows Separating Automation of Mundane Tasks for Efficiency, While Keeping the Overriding Focus on Effectiveness

BPM Evolves to Address New Realities of Digital Business

Page 7: Predicting the Customer Experience: A Convergence of Business Process, Decision Making, and Analytics

Accommodating More Comprehensive, Longer-lived Dynamic Process Lifecycles

From Transactional Data (Control) to Data-Driven (Visibility)

“Data-Driven” = Shift to Information-Intensive, Adaptable Processes Driven by Analytics, Context, and External Events

BPM Evolves to Address New Realities of Digital Business

Page 8: Predicting the Customer Experience: A Convergence of Business Process, Decision Making, and Analytics

Structured Workflows vs. Case Management Processes

Defined Start Point

Defined End Points

In Between the Process Follows a Predefined Path or Otherwise Fails

Case Management Adapts to the Context of the Case, Guiding the Outcome Based on the Combination of Defined Goals, Rules/Policies, Data, and Application of Knowledge Worker Know-How.

Page 9: Predicting the Customer Experience: A Convergence of Business Process, Decision Making, and Analytics

Customer-centric Processes are Data-Driven and Unpredictable

A Library of Process Fragments Can Be Called on to Automate Mundane

Tasks or Regulated Processes

An Event Occurs Which Launches a

New Process / Case

The Case is Completed

When Criteria is Met

Analytics Help Define How the

Case is Processed

“Intelligent Capture” Information is Captured and Added to the Case

Prepare Document Process Application

Business Rules, Policies and Processes Are Run

Against Case Data

Ensuring continuity across multiple channels, including mobile devices

with inconsistent connectivity

Page 10: Predicting the Customer Experience: A Convergence of Business Process, Decision Making, and Analytics

Business Value

Time Data

Latency Analysis Latency

Decision Latency

Infrastructure Latency

Business-relevant Event Occurs

Event Data Captured

Analysis Delivered

Action Taken

Value Available Through Earlier

Notification

Value Available From Faster Decisions

SOURCE: Adapted from Hackathorn, R. (2002); zur Muehlen, M (2010)

Why you want to act sooner, not just faster.

Page 11: Predicting the Customer Experience: A Convergence of Business Process, Decision Making, and Analytics

Business Value

Time

Move to the point of action to here. . .

…from here.

Leverage BPM and ODM to shift the point to which business events become actionable.

Why you want to act sooner not just faster.

Page 12: Predicting the Customer Experience: A Convergence of Business Process, Decision Making, and Analytics

Intimacy

Expediency

Now

Then

Whether or Not You have a Strategy Does Change Your Customers’ Expectations.

Page 13: Predicting the Customer Experience: A Convergence of Business Process, Decision Making, and Analytics

Meet Your Customers for the Next 20 Years

Page 14: Predicting the Customer Experience: A Convergence of Business Process, Decision Making, and Analytics

Are you ready?

Meet Your Customers for the Next 20 Years

Page 15: Predicting the Customer Experience: A Convergence of Business Process, Decision Making, and Analytics

What’s Next?

Page 16: Predicting the Customer Experience: A Convergence of Business Process, Decision Making, and Analytics

What’s Next?

Page 17: Predicting the Customer Experience: A Convergence of Business Process, Decision Making, and Analytics

How Will Delivering a Predictable (and Optimal) Customer Experience change in the post-relational, post-PC, Internet of Everything digital marketplace?

Page 18: Predicting the Customer Experience: A Convergence of Business Process, Decision Making, and Analytics

The home office receives the application electronically, underwrites the policy and electronically issues and sends the policy to FA.

“Intelligent Capture” Questions answered, the application is completed and signed electronically on the tablet. The client writes a check to bind the application and the FA uses the tablet to take a picture of the check to bind the application.

A Financial Advisor (FA) conducts client annual review – determines client needs additional life insurance.

The FA can choose to print the policy or send an electronic copy securely to the client.

1 4

The FA hits the “Mayday” button and spawns a live video chat with an underwriter.

5

6

6

Leveraging BPM and ODM for a Optimal Customer Experience and Real-Time Response: Financial Advisor Scenario

3

2 FA brings up an insurance application on tablet and fills out with the client.

Page 19: Predicting the Customer Experience: A Convergence of Business Process, Decision Making, and Analytics

Transparency of Business Operations Increasingly Means Gaining Visibility Beyond Core Business Systems

New Investments Must Anticipate Multiple/Legacy installations of Workflow, Business Rules, and Even ODM and BPM

Delivering the Ability to Measure Performance & Progress in Holistically, Across the Entire Customer Experience Lifecycle

BPM and ODM Going Forward: The Next 12 Months and Beyond

Page 20: Predicting the Customer Experience: A Convergence of Business Process, Decision Making, and Analytics

Industry Shift From Efficiency to Effectiveness

It’s No Longer (just) About Saving Money, Today It’s About Making Money Focus on Response Time and Customer Experience

Success Metrics and Performance Objectives are Increasingly Revenue-Focused not Cost-Driven

BPM and ODM Going Forward: The Next 12 Months and Beyond

Page 21: Predicting the Customer Experience: A Convergence of Business Process, Decision Making, and Analytics

Your Strategy. . . Develop a “Metrics Culture” Across Your Organization (not just your own team) • Know When and How Success Will be Measured

• Show Results Frequently and On Time

• Formalize Your Own Customer Experience Maturity Model (pick one, define one, but use it)

Page 22: Predicting the Customer Experience: A Convergence of Business Process, Decision Making, and Analytics

Your Strategy. . . Sell Your Program on Growth vs Cost • Know Your Metrics and Make Them Visible

• Target Growth Areas With Momentum

• Engage Customers Throughout – Directly and Through Stakeholders

Page 23: Predicting the Customer Experience: A Convergence of Business Process, Decision Making, and Analytics

Your Strategy. . . Scale Your Team With the Program • Start With Cross-Functional Team / Skillset

• Release Often – Results < 90 Days

• Create a Feedback Look for: Target -> Results -> Review -> Redeploy

•Get Started!

Page 24: Predicting the Customer Experience: A Convergence of Business Process, Decision Making, and Analytics

As a starting point, avoid processes that:

√ are already well-defined,

√ are overly complex, or

√ are politically charged.

Look for opportunities and processes that are characterized as:

√ paper-intensive, involving tasks done on a frequent basis (daily),

√ lacking a rigid or controversial definition, and

√ having an immediate and measurably positive impact on customers, stakeholders and/or end users.

Getting Started With BPM: Picking the Right Targets

Page 25: Predicting the Customer Experience: A Convergence of Business Process, Decision Making, and Analytics

Getting Started With BPM: Picking the Right Targets

Comp

lex

Tactical Strategic Alignment With Business Goals

Simp

le De

gree

of D

ifficu

lty

Limited Value, Low Visibility

Likely Target Area

High Value, High Risk

Page 26: Predicting the Customer Experience: A Convergence of Business Process, Decision Making, and Analytics

How Will This Improve The Customer’s Experience?

Who Benefits From The New Process or System?

What Metrics Provide the Best Measurement of Success for This Process?

How Do We Engage Our Customers’ Perspective in the Understanding and Definition of the Business Process? (“voice of the customer”)

Are the Terms (Vocabulary) Consistent and Mutually Understood?

How Many Systems Need to be Accessed to Perform this Process?

Will the Users of the Process Measure Success the Same as Other Stakeholders and/or Sponsors?

Getting Started With BPM: Asking the Right Questions

Page 27: Predicting the Customer Experience: A Convergence of Business Process, Decision Making, and Analytics

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