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The Hidden Costs of Poor Data Management in Market Research
Adam Zandman
Market Research
An overwhelming 90% of healthcare leaders reported losing revenue due to inefficient data use, and 98% openly acknowledged that their provider organization must improve how it leverages data to confront challenges. It’s no secret that effective data management is crucial for market research success, particularly in healthcare. Poor data management can lead to significant hidden costs, impacting various aspects of a business. Let’s explore some of those reasons.
Financial Costs
Poor data management can lead to financial losses through inefficiencies, errors, and the need for costly rework. Insufficient data can lead to misguided business decisions, wasted resources, and missed revenue opportunities. According to a report by Intelligent Medical Objects, many healthcare leaders struggle with inefficient data systems, causing substantial financial strain.
Reputation Damage
Inaccurate or mishandled data can damage a company's reputation. Patients and clients lose trust in organizations that cannot ensure the integrity and confidentiality of their data. Reputation recovery is difficult and costly, impacting long-term business prospects. A study highlighted in the National Center for Biotechnology Information emphasizes the critical role of data integrity in maintaining trust and reputation.
Missed Opportunities
Opportunities are often missed when data is poorly managed. For instance, slow data processing can delay market entry or product launches, allowing competitors to capture market share. Quick, clean data management supports timely decision-making and strategic agility. Considering the legal layer, non-compliance with data protection regulations can result in hefty fines and legal penalties. Organizations must ensure they adhere to laws like GDPR and HIPAA. Effective data management systems help maintain compliance and avoid legal troubles.
Employee Morale and Efficiency
Inefficient data management systems can frustrate employees, leading to lower morale and productivity. Employees spend more time correcting errors and less on value-added activities, affecting overall business performance. Other operational considerations include redundant data entry, processing delays, and communication breakdowns. Efficient data systems streamline operations, reduce costs, and improve productivity. The report from Intelligent Medical Objects also highlights the operational inefficiencies many healthcare leaders face.
Strategic Misalignment
When data is not accurately managed, strategic decisions may be based on incorrect or incomplete information. This misalignment can derail business strategies and goals, leading to poor outcomes and wasted efforts. In healthcare, companies that are slow to adopt data-driven strategies are at a competitive disadvantage. Clean, well-managed data supports potential strategic expansions like connected devices, wearables, and automated systems, driving better patient outcomes and business performance.
Poor data management can lead to hidden costs, but with the right approach, these issues can be resolved. If your organization is interested in partnering with Thrivable to understand patients better and reduce friction in research connect with us today.
About the author
Adam Zandman
Adam, Thrivable's Marketing Director, is a passionate advocate for improving the patient experience, driving companies to prioritize the patient voice in their decisions
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