By Arko Chandra Published on : Sep 1, 2022
Data is one of the most indispensable assets of any organization, so its efficient management is something that needs to be among the top priorities. B2B businesses can only excel with their high-budget marketing campaigns if the raw material is accurate, relevant data.
Data silos present themselves as an obstacle to this objective of B2B companies. So, B2B businesses should invest enough time and resources in understanding, identifying, and eliminating data silos so as not to compromise their progress at any cost.
Data silos are differentiated, raw data sets only available to specific departments of an organization. For other departments to access that data, they have to use a variety of tools which leads to essential data sets being saved in systems that only a few individuals have access to.
Data silos are more common in bigger companies where different teams have different priorities and thus operate independently.
Most B2B businesses deal with multiple customer touchpoints, which occur through multiple channels and during different buyer journey stages. So, members from different teams, such as sales, marketing, billing, and support, interact with the same buyer. When data is isolated, and everybody across an organization is not on the same page, a customer has to repeat the same information time and again to different people. Consequently, this leads to a terrible customer experience.
When employees store data on their individual systems, there are more chances of a security risk if proper security controls aren’t implemented. Data silos make it challenging to enforce data privacy laws since it’s quite difficult and time-consuming to determine who has access to what.
The gravest issue that data silos and fragmentation account for is preventing B2B companies from gaining actionable customer insights. This stems from the lack of a comprehensive data framework and the failure to capitalize on the benefits of thorough data analysis.
An ML algorithm cannot have the complete knowledge of a customer if data silos and fragmentation exist, leading to scrappy insights. Efficient B2B marketing campaigns require a full-scale understanding of their prospects.
One of the proven tactics to resolve data silos and fragmentation is the unification of all the collected customer data. Customer Data Platforms (CDPs) help B2B companies unify and organize customer data gathered from different sources into a centralized, easily accessible database and then make that data available for other systems and applications. That way, CDPs prevent data silos by creating comprehensive customer profiles that contain data from multiple touchpoints.
Creating a collaborative culture across a B2B company is another effective way of data silos prevention. A collaborative environment allows teams to trade data without neglecting data ownership, thus promoting better data management, usage, and transparency.
It’s critical that departments continue interacting, innovating, and learning new things about their current conditions. Having a designated Data Protection Officer also guarantees that subsequent data executions in an organization align with data protection rules.
Implementing data governance solutions that encourage synergy and effective data optimization helps in avoiding data silos. A data governance framework should be such that it correctly outlines the ownership, rules, and structure for data management in a B2B organization.
Data silos are a real headache for B2B companies, and they negatively affect almost every facet of an organization, from employees to customers to the business goal. Thankfully, there are ample ways to get rid of them; senior leaders of companies just need to be aware of them and put them into practice.
By Arko Chandra
Published on 1st, Sep, 2022
Data is one of the most indispensable assets of any organization, so its efficient management is something that needs to be among the top priorities. B2B businesses can only excel with their high-budget marketing campaigns if the raw material is accurate, relevant data.
Data silos present themselves as an obstacle to this objective of B2B companies. So, B2B businesses should invest enough time and resources in understanding, identifying, and eliminating data silos so as not to compromise their progress at any cost.
Data silos are differentiated, raw data sets only available to specific departments of an organization. For other departments to access that data, they have to use a variety of tools which leads to essential data sets being saved in systems that only a few individuals have access to.
Data silos are more common in bigger companies where different teams have different priorities and thus operate independently.
Most B2B businesses deal with multiple customer touchpoints, which occur through multiple channels and during different buyer journey stages. So, members from different teams, such as sales, marketing, billing, and support, interact with the same buyer. When data is isolated, and everybody across an organization is not on the same page, a customer has to repeat the same information time and again to different people. Consequently, this leads to a terrible customer experience.
When employees store data on their individual systems, there are more chances of a security risk if proper security controls aren’t implemented. Data silos make it challenging to enforce data privacy laws since it’s quite difficult and time-consuming to determine who has access to what.
The gravest issue that data silos and fragmentation account for is preventing B2B companies from gaining actionable customer insights. This stems from the lack of a comprehensive data framework and the failure to capitalize on the benefits of thorough data analysis.
An ML algorithm cannot have the complete knowledge of a customer if data silos and fragmentation exist, leading to scrappy insights. Efficient B2B marketing campaigns require a full-scale understanding of their prospects.
One of the proven tactics to resolve data silos and fragmentation is the unification of all the collected customer data. Customer Data Platforms (CDPs) help B2B companies unify and organize customer data gathered from different sources into a centralized, easily accessible database and then make that data available for other systems and applications. That way, CDPs prevent data silos by creating comprehensive customer profiles that contain data from multiple touchpoints.
Creating a collaborative culture across a B2B company is another effective way of data silos prevention. A collaborative environment allows teams to trade data without neglecting data ownership, thus promoting better data management, usage, and transparency.
It’s critical that departments continue interacting, innovating, and learning new things about their current conditions. Having a designated Data Protection Officer also guarantees that subsequent data executions in an organization align with data protection rules.
Implementing data governance solutions that encourage synergy and effective data optimization helps in avoiding data silos. A data governance framework should be such that it correctly outlines the ownership, rules, and structure for data management in a B2B organization.
Data silos are a real headache for B2B companies, and they negatively affect almost every facet of an organization, from employees to customers to the business goal. Thankfully, there are ample ways to get rid of them; senior leaders of companies just need to be aware of them and put them into practice.
