Data Integrity: The Cornerstone of Business Success in 2025
Today’s challenging business landscape is characterized by rising costs, technological disruptions, and intense global competition.
While data-driven decision-making is a critical factor for survival and success, the journey to harnessing the power of data is fraught with challenges.
A recent study, the 2025 Outlook: Data Integrity Trends and Insights report, sheds light on the pressing issues organizations face in leveraging data effectively for AI and other crucial initiatives.
Key findings from the 2025 Outlook report:
- AI Success Depends on Data Readiness: Only 12% of organizations have data suitable for AI.
- Data Governance is Critical: 62% prioritize data governance for AI success.
- Skill Shortage: 42% face challenges due to a lack of skilled professionals.
- Data Quality Remains a Challenge: 67% don’t fully trust their data.
- Data Governance Adoption is Rising: 71% have data governance programs.
- Cost Pressure: 54% struggle with funding for data initiatives.
- Data Enrichment and Location Intelligence: These are emerging trends.
What’s trending in trusted data and AI readiness for 2025?
While data quality remains a top priority, organizations are also increasingly investing in data governance.
The adoption of data governance programs has risen significantly, reflecting a growing understanding of its benefits in improving data quality, enhancing collaboration, ensuring regulatory compliance, and facilitating faster access to relevant data.
Data governance remains a primary focus for organisations looking to leverage AI and enhanced decision-making.
By ensuring the accuracy, reliability, and ethical use of data, data governance programs play a crucial role in training AI models effectively.
However, other obstacles, such as insufficient data attributes, poor data quality, privacy concerns, and limited data quantity, also hinder organizations’ progress.
Another pressing issue is the shortage of skilled professionals in data management, analytics, and AI.
This scarcity of talent makes it difficult for organizations to capitalize on their data assets and implement effective AI solutions.
Structured data management training is essential to build data management expertise for AI and analytics teams
As businesses strive to reduce costs and optimize operational efficiency, data initiatives offer promising solutions.
However, funding for these initiatives remains a significant challenge, underscoring the need for strategic investments that deliver tangible returns.
Emerging trends, such as data enrichment and location intelligence, hold the potential to further enhance data-driven insights and operational efficiency.
However, their adoption is hindered by factors like cost, data quality, integration challenges, and privacy concerns.
In conclusion, the successful implementation of data-driven strategies in 2025 hinges on overcoming the challenges of data integrity.
By aligning data initiatives with business objectives, improving data quality and governance, and addressing the skills gap, organizations can unlock the full potential of their data assets.
The journey may be demanding, but the rewards in terms of innovation, operational excellence, and competitive advantage are substantial.
Join us at Trust ’24: The Data Integrity Conference
Are you still struggling to deliver trusted data for your AI program?
Join us at Trust ’24, this year’s free, virtual Data Integrity conference with Precisely as they unpack these trends and present solutions on October 15th and 16th 2024.