You know your data is messy, but just how bad is it? Uncover the truth for smarter, faster business decisions to drive revenue and growth.
Bad data is costing you big time from a technical, financial, operational, and reputational perspective. A single error can ripple across systems, people, teams, and decisions, leading to silent but deadly costs to your business.
Customer churn, billing errors, and missed upsell opportunities from incorrect or missing data
Wasted ad dollars and sales effort from duplicate, incomplete, or invalid records
Delayed reporting, forecasting, and decision-making from inaccessible and outdated data
Poor customer experience and lost leadership confidence from incorrect or irrelevant data
Broken automations, workflows, integrations, and reporting systems from invalid data formats
A Datagence Data Health Assessment pinpoints where your data thrives or falls short across several attributes. It provides a clear, actionable snapshot of your data’s quality and trust—uncovering gaps, inconsistencies, and inefficiencies that could silently undermine your operations.
Healthy data is trusted data, empowering smarter decisions, better alignment, and fewer costly missteps that you can bet your business and reputation on.
Inaccurate data leads to wrong decisions, lost trust, and wasted resources. Imagine the impact of shipping the wrong product, targeting the wrong customer, or misreporting revenue.
Duplicate data leads to wasted marketing spend, poor customer experiences, and bad decisions.
Incomplete data leads to poor decisions, broken workflows, and missed opportunities, skewing reporting.
Even if data is complete and accurate, if it is not in the right format, it’s useless. For example, if a phone number or data is in the wrong format, it can block automation.
If data is buried in silos, locked behind permissions, hard to navigate, or simply not available across systems, it slows down teams, hinders and hurts decision-making, and leads to duplicate work, frustration, and missed opportunities.
Outdated data leads to missed signals, delayed decisions, and irrelevant actions, such as marketing to a customer who has already churned or relying on the wrong numbers from last quarter to make the call for this quarter.
