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GuidesEmployee experienceWhat are information silos & how can you prevent them?

What are information silos & how can you prevent them?

Last updated

13 January 2024


Dovetail Editorial Team

Reviewed by

Shawnna Johnson

An information silo is a data management approach that isolates information within one system. These silos hinder communication, collaboration, and accessibility.

Today, information silos usually occur when an organization’s data management systems don't communicate. This can happen due to technological limitations, improper communication, and lack of data governance.

Preventing information silos is key to avoiding consequences that disrupt your organization's performance.

Let’s get into learning more about information silos and how to prevent them. 

What is an information silo?

An information silo is a lack of communication between a company’s information systems and departments. No matter how well your data systems work separately, poor communication leads to errors, downtime, and costly consequences.

For example, a company's marketing department may have a separate customer database from the sales department's database. The marketing team collects and stores customer information in their system, while the sales team maintains separate records.

As a result, a significant lack of coordination arises as the departments can’t access each other's customer data. This causes missed opportunities for cross-selling or personalized marketing efforts. 

The information silo hinders collaboration and prevents them from developing a holistic view of customer behavior.

Why do information silos occur?

The causes of information silos vary from business to business. The most common reasons are:

  • Business structure: The hierarchal approach to department operation could create barriers to sharing information.

  • Poor communication policies: A lack of adequate communication channels or improperly implemented communication practices could cause information silos.

  • Integration issues: Problems with integrating new software into the existing infrastructure could create information-sharing difficulties.

  • Improper data governance: Inconsistent data management practices, data quality issues, or a lack of defined data governance policies can lead to fragmented data sets.

  • Mergers or acquisitions: When companies go through mergers or acquisitions, combining different systems and processes can result in information silos.

Once information silos occur, they can snowball. Stopping them as soon as possible is key to avoiding far-reaching consequences.

Ideally, businesses should implement new data management systems as soon as silos occur.

Consequences of information silos

Unaddressed information silos can lead to many negative consequences, including:

Poor customer experience

When two data management systems don't share information, this can affect your customers. 

For example, sales and marketing departments could ask prospects for the same information twice. This could cause misunderstandings and frustration, negatively affecting customer experience.

Higher costs

Duplicate data entry, unnecessary analytics, and redundant processes increase operational costs. 

Besides spending more time on data management and losing sales opportunities, your team could be working overtime to reconcile disparate systems.

The impact? More expenses, decreased employee satisfaction rates, and burnout.

Compliance risks

Information silos could introduce issues related to data privacy and regulatory compliance. 

This happens because information silos make it difficult to enforce consistent policies and controls across the organization.

An example could be a HIPAA-compliant company using old data, causing a medical error. 

Missed business opportunities

The inability to share information hurts data-driven decision-making. This can cause your company to miss important business opportunities or make poor financial decisions.

Meanwhile, the lack of data consistency could lead to errors, negatively affecting your company's reputation and growth.

Signs of information silos within your organization

Signs of information silos may not be obvious at first. However, as their impact progresses, you may notice:

  • Difficulty accessing or locating relevant information

  • Conflicting data across systems and departments

  • Limited awareness of activities outside a specific department

  • Difficulty sharing data between teams

  • Software integration issues

  • Reluctance to share information or collaborate with other departments

  • Inability to obtain a holistic view of customer behavior due to fragmented data

  • Challenges coordinating cross-functional projects

  • Difficulty adapting to market changes

  • Inefficient data for seizing new business opportunities

  • Increased reliance on manual work

  • Customer dissatisfaction with redundant touchpoints

The most visible symptom of information silos is the blame game: Teams blame errors on other teams involved in the project.

How to prevent information silos

Preventing data silos means you have to rethink your company’s culture and technology implementation approach. Here are a few steps to consider.

Encourage communication and collaboration

According to a recent study, 86% of employees believe poor communication and a lack of collaboration are the biggest reasons for workplace failures.

Nurturing a communicative culture and encouraging cross-departmental collaboration creates an opportunity to minimize information silos.

Consider implementing effective communication channels to facilitate the process, such as project management tools and collaborative platforms.

Work on seamless system integration

When investing in new software, check how it integrates with existing systems. The technology you leverage for your business operations must support interoperability and data integration. Otherwise, data silos and errors are unavoidable.

Some companies invest in custom software development. Custom applications that address multiple business requirements nearly eliminate the integration issue.

Create robust data governance policies

Work on establishing clear data governance policies, including data standards, ownership, and sharing protocols. Keeping everyone on the same page about information handling and processing ensures consistency and accessibility across the organization.

Depending on the size of your business, you could create a data governance team or delegate the role to one specialist.

Build cross-functional teams

When employees constantly work with the same team members, collaboration issues develop. Consistent focus on just one process without seeing the full picture is often the foundation of significant information silos.

You can solve this by creating teams with members from different departments, encouraging free data flow between the groups.

You can also organize regular meetings where employees from various departments share updates and insights to break down information silos that might be appearing.

Centralize data

The key to preventing information silos is creating a centralized data repository for the entire company. This centralized knowledge base helps employees share information and insights regardless of their position or department.

Consider opting for a knowledge management platform that allows you to keep everything in one place without running into access issues.

Breaking down information silos

Information silos can significantly hinder a company's operations and prevent business development. These silos grow exponentially and affect all departments and projects simultaneously. 

Identifying information silos within your organization and implementing robust prevention measures helps you avoid unexpected costs, employee burnout, poor customer experience, and much more.

Information silos tend to creep up when you least expect them. That's why prevention is key. 


What is the difference between data silos and information silos?

An information silo is where only a certain group of people has access to specific data. 

A data silo is an information silo that occurs when technological issues interfere with information sharing. In most cases, data silo and information silo are interchangeable terms. 

What is the difference between a data lake and a data silo?

A data lake is an information repository that stores data in its original format. Meanwhile, a data silo is where data is in an isolated database.

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