Data Holds Organizations Back

Data is a critical asset for every organization, especially in the modern era. Despite its recognized criticality, many organizations fail to properly manage data as a value-driving asset. According to McKinsey, organizations spend 30% of their time on non-value added tasks because of poor data management; further causing issues, 70% of employees have access to data that they should not be able to see.

Premier International focuses on the foundational aspects that strengthen data management at your organization. Our process is geared to render data compliant, clean, consistent, credible, and current. With these measures adequately addressed, you will be confident that your data is secure, increasing in value, and powering insights across the enterprise.

Why Data Impacts Performance


Depending on the entity, data degrade at a rate of 4-20% a year. Without active mitigation and monitoring, data will constantly decrease in usefulness.


An insufficient data quality strategy plus growing data volumes means that inaccurate data are affecting your analytics and are causing a manual data cleanup burden on your team.


The principle of what’s not measured is not managed applies to data. By not tracking important data-related metrics, organizations don’t know the impact of ongoing data management gaps.


Without role-based security policies that meet regulatory, contractual, and ethical requirements, organizations put themselves at significant risk.


As data velocity accelerates and unstructured data is continuously entered into the system, data lakes start to turn into data swamps.


Data entered and maintained by different people, departments, and applications can slow operations and pollute analytics.


Data silos that persist between departments slow business operations, increase integrity issues and prevent the data access that is needed.


When data moves across the landscape, its requirements change. The smallest error or update can have significant ripple effects.


An organization that is not prepared for technological change will be ill-equipped to effectively manage their data in the future.

Modernizing Data Landscapes Since 1985

Prepare Your Organization
  • Assess your current data landscape, processes, and governance policies
  • Develop a tailored data improvement roadmap
  • Help prepare for the organizational change to spur adoption of the new polices and processes
Execute Improvement Roadmap
  • Ensure the data vision aligns with business objectives
  • Facilitate organizational change
  • Implement technical components for data security, quality, interoperability, etc.
Secure data across the organization
  • Instill confidence that the team has access to quality data when they need it
  • Assure that your data are compliant with regulatory, contractual, and ethical obligations
  • Promote a culture that uses data to improve operations, increase sales, and reach better decisions across the enterprise