We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    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
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: The Only Way to Save Your CRM from Failure
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > The Only Way to Save Your CRM from Failure
Big Data

The Only Way to Save Your CRM from Failure

martindoyle
martindoyle
8 Min Read
The Only Way to Save Your CRM from Failure
Illustration generated with FLUX.2 [klein 4B] via Cloudflare Workers AI.
SHARE

The Only Way to Save Your CRM From Failure

The Only Way to Save Your CRM From Failure

The Customer Relationship Management (CRM) system is now a central focus of many businesses. The CRM is responsible for holding contact details, communications, social media profile data and valuable leads – the data that sales teams live and breathe every day. In theory, the CRM acts as a colossal ‘brain’, or hub: an application everyone can dip into for data.

Contents
  • Causes of CRM Failure
  • The Impact
  • 1 Way to Fix a CRM
  • Choosing a Solution
  • Success Stories

Yet the CRM is, in itself, a framework: a holding bay for data. It cannot function if it is not populated correctly. Yes – everyone uses the CRM, but who owns it? Ask any user, and they will likely say: “not me”.

The opposite is true. And here’s the challenge: up to 46 percent of CRM systems are failing. That’s a figure no sales department can work with. But there is one way to turn it around.

Causes of CRM Failure

CRM systems are central to productivity across organisations. They are also not cheap. Gartner estimates that the CRM industry was worth $18 billion in 2012, and will be worth $36 billion by 2017.

More Read

The ABCs of Agile BI
The ABCs of Agile BI
Open Document Function
Thanks, Big Data: America’s Drinking Habits Predict the Election
Is there a voice quality testing software that can compare two audio files? Does it have advantages if compared with existing ones? – Yes, this software already exists! Yes it does have advantages!
A Free Modeling Tool for Valentine’s

Clearly, adoption is accelerating, and more businesses are storing data in CRM software. Yet we are no better at managing that data. Why?

Consider these five scenarios:

  • The alienation people feel when new software is brought in. Often, this breeds resentment and slapdash data entry, since there’s no explained benefit to the CRM
  • The fuss of having to fill in fields you didn’t have to fill in before. People quickly invent workarounds to get around required fields they feel are not necessary. Who decides what’s important: the user or the CRM?
  • Quirks of the CRM: things not saving properly, or formatting on dates being too confusing to be consistent
  • Imported contact records having picked up encoding errors and other mistakes that make them un-saveable in the CRM; this means records are often duplicated to get around the problem
  • Decision makers switching the business from CRM to CRM to try to fix the problem

All five points result in useless data. At every touch point, the CRM is becoming less efficient. It is being diluted and polluted by incorrect entries, workarounds and flaws. And the worse the data gets, the less people want to rely on it. The CRM should be supporting customer interaction, not creating new problems for your employees.

Data also decays naturally, compounding the effect of human error. Estimates put the rate of data decay at around 2 percent per month. It is a completely natural process, and it is unavoidable. As your contacts change jobs, get married, change email addresses or get promoted, your CRM will start to lose track.

Looking closely at CRM failure rates, we have a range of statistics to work from. C5 Insight estimates that the failure rate of CRM software is around 16 percent. It says that this figure is “optimistic”, and puts its own estimates at 38 percent.

The Impact

CRM systems were designed to facilitate more efficient communication with customers and leads, helping all participants complete transactions quickly. Even the most technically advanced CRM cannot achieve its goals if the data it holds is inaccurate.

Without this data, the sales team cannot use the CRM to close deals. The marketing team cannot segment its data accurately. The customer is frustrated that they’re receiving multiple copies of marketing messages, complete with mis-spelled names and email addresses that should have long since been removed. The IT department is becoming irritated with the requests to fix the data it cannot change.

CRM data becomes inconsistent, cluttered, sloppy, out of date, invalid, inaccurate and incomplete. It lacks authenticity and cannot be relied upon. Before long, the CRM is nothing more than a dusty filing cabinet full of index cards that should have been trashed years ago.

It’s time to step in and save your CRM.

1 Way to Fix a CRM

CRM software must be seen as a useful tool rather than a hindrance, but it can only be successfully implemented if data quality is prioritised too. The business simply must invest in data quality software that supports employees in their work, without creating new challenges or time drains. The use of data quality tools must be a proactive and ongoing process if it is to stem the tide of manual errors and natural decay.

The key is ownership. Giving employees a say is the only way a CRM can be saved from dirty data.

Consider the plan of action, and the people who will lead the initiative. The key to successful CRM data quality initiatives is buy-in at every level, and a vested interest in keeping the data clean, healthy and fresh. This does not mean tasking the IT department with the CRM clean-up, or asking sales teams to correct records by hand. The business must change the culture of the organisation so everyone understands the data is theirs. Theirs to own, theirs to use, theirs to maintain – and theirs to clean.

Choosing a Solution

The data quality tool must be designed specifically for the software package in use. Specialised solutions are available for Infor CRM, Salesforce, Microsoft Dynamics CRM and other key packages from vendors large and small. Choosing a software specific package means data can be cleaned in situ, and this is key.

Very large data initiatives have failed because of problems with encoding. In most circumstances, it is best not to import and export from one system to another. By keeping data in the system, the data quality tools mesh with the CRM system, extending and enriching the functionality users already enjoy.

Success Stories

FleetBoston says its failed CRM project cost $40 million.

Gartner claims that data quality affects productivity by up to 20 percent. Over time, data quality becomes a “limiting factor for overall process quality”.

But a data quality initiative can turn things around.

According to typical scenarios, a US healthcare insurance organisation can expect the following:

  • Increasing automatic decisions could result by 2 percent after data quality drives, resulting in $1.5 million savings in 3 years
  • Returned mail can be cut by 10 percent, saving $400,000 over the same period
  • Reporting errors caused by data quality problems could result in $525,000 savings over the same period

Once your CRM is clean, your customers will benefit from better communication and a sharper focus on their needs. Engage your workforce in ensuring your CRM does not fail.

TAGGED:crm
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

How Digital Knowledge Repositories Facilitate Self-Directed Research and Information Discovery -- AI-generated illustration
How Digital Knowledge Repositories Facilitate Self-Directed Research and Information Discovery
Exclusive News
7 MDR Providers Combining Offensive Security Testing With 24/7 Monitoring -- AI-generated illustration
7 MDR Providers Combining Offensive Security Testing With 24/7 Monitoring
Exclusive IT Security
The Information Governance Practices That High-Demand Social Work Roles Require -- AI-generated illustration
The Information Governance Practices That High-Demand Social Work Roles Require
Data Management Exclusive Policy and Governance Security
8 MCP Tools for Market and Consumer Intelligence Workflows -- AI-generated illustration
8 MCP Tools for Market and Consumer Intelligence Workflows
Artificial Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

First Look - Unica
Business IntelligenceCRMData MiningPredictive Analytics

First Look – Unica

7 Min Read
Technology and the Effective Marketer
AnalyticsBest PracticesBig DataBusiness IntelligenceCRMCulture/LeadershipData ManagementDecision ManagementMarket ResearchMarketingPredictive AnalyticsPrivacySocial DataSocial Media Analytics

Technology and the Effective Marketer

6 Min Read
CRM: Businesses Should Walk Before They Run
Big Data

CRM: Businesses Should Walk Before They Run

3 Min Read
Are we nearly there yet?
CRM

Are we nearly there yet?

4 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 chatbot
How AI Website Chatbots Improve Customer Support and Lead Generation
Chatbots Exclusive
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?