We are DataGroomr!

At DataGroomr, our goal is to make it easy to improve the quality of your data. Data can be an invaluable commodity for your business, but too often it can’t be trusted because of critical missing elements, duplicate records, or inconsistencies in how data is formatted or presented. Suddenly the commodity becomes an albatross.

That challenge is why we do what we do. We want you to be able to trust that data that you’ve collected. To be able to use it to connect with the leads that need your products and services, and will help you grow your business. At the same time, we want to help you accomplish it without needing to bring an advanced degree in data analytics. We are the trusted partner that can help you ensure the quality and meaning of this invaluable resource using our simple, intuitive, and intelligent platform.

Transform your data!

What We Do

DataGroomr is a new platform that will transform your data from a mish mash of unorganized records to a streamlined, concise collection of information that will drive your business to the next level. Using the DataGroomr platform and our unique approach to data cleaning leveraging the power of Machine Learning in the cloud, you’ll have data that you can trust simply and easily. So what does Datagroomr do?

  • 1
    matching rules

    A predefined set of matching rules following industry best practices that learn and adapt to best fit your data so you don’t need to be a data scientist to have the best data

  • 2

    The ability to define a custom set of matching rules to fit your business needs

  • 3

    Leverage planned scheduling so your data stays up to date, clean, and meaningful without you even having to push a button

  • 4
    Rollback and Tracking

    The ability to audit every change made for easy rollback and tracking

Why Should I Care About Data Quality?

Setting aside the ramifications of not caring,  such as poor customer satisfaction, uninformed decisions, and reduced operational efficiency, according to Gartner, the average financial impact of poor quality data on organizations is $9.7 Million a year. The question is, can you afford not to?

Resource Efficiency

Is the percentage of organizations that have experienced the impact of poor data quality, resulting in wasted resources.

Increased Revenue

Is the percent you can expect revenue to increase by implementing Data Quality best practices.

Data Quality

Only 3% of scores in a study rating
data quality were found to be acceptable.

Industries and Sectors

Data is the lifeblood of business in today’s world, cutting across sectors and industries. It allows organizations to make the best decisions to survive in an ever more competitive landscape. However, while data is a constant, the specific needs of each entity can be very different.

Our expertise is understanding and meeting the data needs of different businesses. We’ve built a platform that is powerful enough to work with ANY data, but adaptable enough to work with YOUR data. DataGroomr is the tool to manage your data’s cleanliness, transforming it into useful, meaningful, and impactful information.

  • Use your data to build deeper relationships with customers and brokers
  • Trust your data to feed into other tools to increase your business
  • Have confidence your data will be clean for regulatory compliance
  • Communicate with customers and prospects efficiently
  • Drive sales by using correct data to deliver personalized offers
  • Use your data to interconnect and make better decisions
  • Use your improved data to create offers and custom touchpoints with your customers
  • Be certain that your data tells you which services a client needs
  • Know which customers to return to for additional marketing and sales
  • Build deeper relationships with your customers and prospects by delivering content
  • Manage all the methods of contact such as subscriptions, profiles and other identifying characteristics
  • Have a trusted source for all teams across your organization
  • Maintain relevant records accurately and fill in missing data to understand relevant communities
  • Assure your data on all relevant roles including supporters, members, volunteers and any others defined
  • Feed the data into other efforts such as social media or direct mail outreach
  • Normalize data from many systems including legacy to manage all relevant connections
  • Count on your data to feed into other systems required for compliance
  • Know which donors need follow up.