How does data hold your organization back?

Data is a critical asset for every organization; despite its recognized criticality, many organizations fail to properly manage data as an asset that drives value. According to McKinsey, organizations spend 30% percent of their time on non-value-added tasks because of poor data management. Compounding with this issue, 70% of employees have access to data that they shouldn’t be able to see.

Premier International focuses on the foundational aspects that strengthen data management at your organization. Our process is geared to make data compliant, clean, consistent, credible, and current.  This ensures that that your data is secure, is accelerating business processes, and is increasing in value.
Get your roadmap

Our process is designed to:

1
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 improve adoption of the new polices and processes
2
Execute improvement roadmap
  • Ensure the data vision aligns with business objectives
  • Facilitate organizational change
  • Implement technical components for data security, quality, interoperability, etc
3
Secure data across your organization
  • Be confident that the team has access to quality data when they need it
  • Know that your data is compliant with regulatory, contractual, and ethical obligations
  • Make better decisions, improve operations, gain strategic insights, improve products throughout the enterprise

Why data impacts performance

Degradation
Depending on the entity, data degrades at a rate of 4-20% a year.  Without active mitigation and monitoring, data will constantly decrease in usefulness.
Complexity
As data volumes accelerate, unstructured data structures increase in number and complex attributes like location, demographic, and timeseries  increase in importance, data lakes start to turn into data swamps.
Lack of standards
Data entered and maintained differently by different people, departments, applications, and business requirements slow operations and pollutes analytics.
Security
Without documented role-based security policies that meet regulatory, contractual, and ethical requirements, organizations put themselves at significant risk.
Quality
An insufficient data quality strategy and metrics means the team is spending extra time correcting data on the fly and dirty data is polluting your analytics/operations.
Incomplete metrics
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.
Silos
Data silos that persist between departments slow business operations, increase integrity issues and prevent the data access that is needed.
Lineage
When data moves across the landscape, its requirements change. The smallest error or update can have significant ripple effects.
Culture
An organization that doesn’t promote increasing data value or isn’t prepared for data related change decreases the effectiveness of all aspects of data management.
Get your roadmap

We’ve been preparing data for the future since 1985.

Understand the obstacles
through 100s of data landscape consolidations.
Recognize the challenges
of modernizing data on top of a demanding day job.
Drive data value
by treating it as a business asset curated through technology.
Uplift mindsets
to recognize the role data plays in business improvement.

To prepare data for the future of robotics, AI, advanced analytics, and increased cloud capabilities, the fundamental aspects of data management need to be addressed.  Without strong governance and fundamental data management in place, it is not possible to realize your organization’s future business objectives. The fundamental activities and phases of master data management are Premier’s focus; the following chart outlines these fundamentals.

Get your roadmap

The activities and phases of Master Data Management:

Your roadmap awaits!

Organizations that ignore their data challenges, spend significantly more effort and time to get fewer results. These organizations experience data degradation at higher rates, their analytics suffer, and their data is less secure.  

On average, data degrades between 4% and 20% annually. Additionally, 70% of employees have access to data that they should not have access to.

According a study by the University of Texas, organizations that invest in data management saw a 14% increase in sales by employee and 16% increase on return on equity. Of the organizations that were studied, this return led to an additional $2 billion in revenue.

To help you start identify individual data management improvements, we have made a data initiative roadmap template available for your use.  

After downloading, we will contact you to help you identify how your current data landscape is hindering your business development, product, operations, and/or strategic decisions.

Oops! Something went wrong while submitting the form. Try again?

“Organizations that invest in data management saw a 14% increase in sales by employee and 16% increase on return on equity.”