Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
    data driven risk management in heatlhcare
    How Data Analytics Is Changing Healthcare Risk Management
    17 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Improving customer interactions one decision at a time
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > CRM > Improving customer interactions one decision at a time
CRM

Improving customer interactions one decision at a time

JamesTaylor
JamesTaylor
4 Min Read
SHARE

William Band at Forrester (@waband) recently tweeted that his next research project was:

When to use CRM apps vs BPM tools to improve customer interactions? Pros & Cons of each?

I replied that companies should be sure to manage customer treatment decisions too and he asked me to expand on that thought.

William Band at Forrester (@waband) recently tweeted that his next research project was:

More Read

How to Transform Customer Retention with Analytics
Some thoughts after attending Predictive Analytics World
How a Free Burrito Turned into A $55 Parking Ticket and a Great Customer Experience
An update on the warranty industry
The Perils of Marketing Attribution

When to use CRM apps vs BPM tools to improve customer interactions? Pros & Cons of each?

I replied that companies should be sure to manage customer treatment decisions too and he asked me to expand on that thought.

Every customer interaction requires decisions – you must make a selection from a range of offers, pick a course of action, agree (or not) to a request. These interactions involve conversation, process, data and more also but there is always a decision or a set of decisions. When I think about my interactions with companies, it is the effectiveness, relevance or value of the decisions they make that stays with me. When I talk to Asus about my eeePC, it is their decision to handle the repair without complaint or delay that I remember. When I call my bank about a fee, it is their decision not to refund it that I remember, not how nice the agent was or how efficient their process. When I log on to an online account it is the relevance of the offer being displayed that I notice. Decisions matter to customers and to customer interactions.

And these decisions are customer-specific, customer-centric. Each decision is what Neil and I called a micro-decision in our book. Each decision relates to a single customer and each may seem relatively unimportant. But the cumulative effect of those decisions is very great. Making a compelling offer to a single customer is probably not going to make all that much difference to your bottom line. Making a more compelling offer to each customer who calls, however, adds up to real money for organizations with large numbers of customers.

To improve these decisions takes more than CRM or BPM. It takes an explicit focus on decisions, especially high-volume operational decisions. It takes business rules to manage the logic of those decisions (so that the business can collaborate in defining how they should be made while the systems environment applies those rules systematically and consistently across all customers) and predictive analytics to predict what will work or not work for each customer (a model that predicts how likely this customer is to churn or that customer is to accept an offer). It also takes experimentation and a focus on continuous improvement as decision making must evolve as business circumstances do.

Neither CRM nor BPM tools have  the necessary focus on decisions – CRM tools tend to be focused on the information about a customer (necessary to drive better decisions) while BPM tools tend to focus on how to act on the decisions made about a customer (fulfilling the action). Both are necessary to manage the customer interaction but so are decisions and so is decision management.

I have blogged about this topic before. Check out:

  • This series on a 21st Century Customer Experience
  • This one on whether your live agents are helping or hurting you with customers
  • This one on the value of decision management rather than operational BI in call centers

 

Copyright © 2010 http://jtonedm.com James Taylor

Syndicated from ebizQ

TAGGED:Decision Making
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

What Is Fine Tuning AI Models And When Should You Actually Do It? -- AI-generated illustration
What Is Fine Tuning AI Models And When Should You Actually Do It?
Artificial Intelligence Exclusive
Industrial IoT (IIoT) Implementation: A Step-by-Step Guide for Manufacturers -- AI-generated illustration
Industrial IoT (IIoT) Implementation: A Step-by-Step Guide for Manufacturers
Exclusive
How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
Analytics Big Data Exclusive Predictive Analytics
Top 20 Git Commands for Modern Development -- AI-generated illustration
Top 20 Git Commands for Modern Development
Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Getting the other 90% of analytic adoption to happen

7 Min Read

Make Better Decisions

7 Min Read

Predictive Analytics: 8 Things to Keep in Mind (Part 3)

5 Min Read

Zero Latency: An Obsession with Velocity

5 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?