How to Break Down the Data Silos Between Sales and Operations
Multiple departments often clash in companies that lack a proper data-sharing protocol. Data silos between sales and operations departments are challenging because they can lead to inaccurate information. IT professionals should break down silos to improve collaboration, efficiency and decision-making.
Consequences of Data Silos
Working within a data silo limits employees’ understanding of other departments, leading to inaccurate information and misinformed decisions that hinder a company’s growth and reduce potential revenue.
Inaccurate Reporting
When sales data does not sync with operational capacity, it can cause employees to unknowingly overstock or understock facilities. Overstock leads to wasted revenue, whereas understock leaves customers unsatisfied. Reports must reflect product demand, which is only possible when sales and operations use the same data.
Poor Security
Separate silos can create numerous security gaps, such as inconsistent account access rules. Hackers can infiltrate these places and cause significant breaches. The gaps also prevent other employees from noticing attack attempts, allowing cyberattackers to maintain control of systems for an undisclosed period.
Eroded Customer Experience
Without unified data, sales departments cannot fully understand their customer base. Their accompanying sales pitches do not convince customers to purchase the company’s product because they fail to address the customer’s needs. This may result in current customers choosing a different company to partner with or purchase from.
Duplicated Efforts
When multiple departments work in data silos, they end up performing the same task with different results. The outcomes do not align with other departments, creating extra work to remedy it and wasting valuable time. Workers could have spent their time on other important tasks, but now they must fix an avoidable issue.
Missed Opportunities for Optimization
Without data silos, sales and operations teams can see the company’s entire inner workings. They can notice optimization issues and create solutions to boost productivity. Departments can also work together, offering their own expertise and creating a solution that benefits everyone. Data silos prevent this valuable collaboration opportunity.
How to Break Down Data Silos
Breaking down data silos requires the full commitment of both sales and operations teams. They must unify their systems and work together to solve issues and complete tasks.
Integrate Data Systems
Integrating data requires technical knowledge of the core systems. A CRM that collects customer and sales information and an ERP that collects operations and resource insight are essential. IT professionals should combine CRM processes with ERPs to promote synergy across all departments. To connect systems without extensive customization, Integration Platform as a Service (IPaaS) or a Unified Data Platform are viable alternatives. Storing information in a central system is also critical so that every department can access records.
Establish Common Data Definitions
Sales and operations teams must create unified data definitions for easy communication. A unified system serves as the one source of truth, so standard protocols and agreed definitions for key metrics are essential. The difference between a lead and a prospect is one metric that departments should agree on. Without clear definitions, companies could still misconstrue data and make misinformed decisions.
Foster a Culture of Data Sharing
Departments must work well together to foster a culture of data sharing. IT professionals can train teams to be cross-functional, inspiring them to offer new ideas and improve their information literacy. Cross-functional teams collaborate through shared goals to improve an organization’s profitability, such as net revenue retention and customer satisfaction. Teams can conduct customer surveys to ensure new processes work properly. They should also prepare for regular audits, which safeguard against potential system issues.
Building a Unified Data-Driven Organization
Data silos can cost companies essential revenue, so a holistic approach and appropriate unified technology are essential in the new market. Creating a unified, data-driven organization leads to accurate sales and demand forecasting, anticipating customer needs and adapting to shifting markets. To begin the process, companies can audit their current information, identify any potential silos and hold meetings with sales and operations teams.



