Skip to main content

How Can Government Employees Obtain Clean & Aligned Data?

February 13, 2025
How Can Government Employees Obtain Clean & Aligned Data?
3:51


If you work for a small to mid-sized county government in social services, criminal justice, or any other role that uses data then you already know: getting reliable data is a huge challenge.

Most government agencies use several different tools between Excel, forms, and databases. To get a holistic view across these different systems, a data-cleansing and synchronization process is a must. But right now, it often looks like this: 

  • Data is entered into different systems 
  • Data is then exported and brought into Excel
  • Someone attempts to manually cleanse and align it
  • Start all over again next month

This creates several huge problems. The biggest is that this is extremely time-consuming and very much prone to human error. Another is that it’s difficult to identify the same client across different systems. 

So how can government employees effectively obtain clean and coordinated data? There’s no one-size-fits-all solution, but there is a better way. 

Related Content: Case Study: Increasing Efficiency & Data Access for Human Services County Department

Efficiently Obtain Clean, Coordinated Data with A Better System

If your foundation is shaky, then the whole house might fall down. The same is true for data. No matter how optimized, any organization that uses multiple databases, data entry points, and static documents that need to be uploaded, there is going to be dirty data. 

The best approach is an ongoing data solution to extract, cleanse and condense data into a single environment for reporting and analytics. That’s where Superior Consulting Services can help.

We look at your current systems and create a repeatable, automated process for data reporting and analytics. The specifics may change, but generally, we recommend a process that looks like this:

  1. Data is extracted from your various current systems and spreadsheets.
  2. That data is merged into a common repository (data warehouse).
  3. During the extract process, we combine and transform the data to eliminate bad data, correct obvious errors, and tie together common items (i.e. a client receiving multiple services) across systems.
  4. We establish an automated process that will execute items 1-3 routinely, to optimize new data as it’s collected.

The end result? A dynamic, easy-to-use reporting environment. Access dynamic reports to track the vital information you need:

  • View current case loads per service, team, or employee.
  • Track which services are being utilized and how, in order to meet grant requirements.
  • See the full scope of services a single client is receiving, or broaden the scope to look for demographic trends and commonalities.
  • Gain the valuable data you need to identify areas of optimization so you can better serve your community.

The specific environment depends on your systems, data, and needs. The challenge with trying to clean up data - as you’ve probably discovered - is that there is no one-size-fits-all all solution. When you have a problem like this that needs a custom solution, then you need a partner with the experience to problem-solve for your unique setup. That partner is Superior Consulting Services. 

We have extensive experience with government organizations, particularly County Human Services departments. To get a taste of what we can do, check out a few of our case studies:

Case Study: Increasing Efficiency & Data Access for Human Services County Department

Case Study: Optimizing Data for a City

To explore how we can help your county, request a free consultation. This no-obligation session is an opportunity to discuss your needs. No viewing of sensitive data is required during this session. We can provide you with concrete next steps and an action plan for moving forward.

Learn More: Join Us for an Upcoming Webinar on Data Integration and Cleansing

Not quite ready for a consultation? That’s fine. We also have an upcoming free webinar all about how to keep data clean. While this webinar isn’t specific to government organizations, the information is something you can use today to help your team.

Don’t Let Bad Data Impact Your Analytics: Critical Steps in Data Integration

February 26, 2025 | 10:00 AM - 11:00AM CST
Online Event

Data Integration is the cement for building your organization’s analytics foundation. Dirty, inaccurate, or incomplete data sources create impure integrations. Identifying and addressing data impurities is one of the challenges organizations face when trying to build trust with their data and output meaningful insights. That's easy to say, hard to put into practice in a dynamic organization with multiple data entry points.

Join us on February 26 for a webinar all about how to address bad data at the source. In this live event, you'll learn:

  • How to identify points of dirty data
  • Effective data cleansing tools
  • How to approach and overcome data cleansing issues
  • Key steps to ensure your data is ready for analytics.
  • After the presentation, there will be a Q&A with our data expert Chuck Marschall. This event is designed for managers, database admins, operations, and anyone else who regularly needs to access unified data.

You can also request a consultation with our team. This is a one-on-one discussion where we look at all of your existing systems and the potential solutions to provide specific recommendations.

Keeping data clean across multiple systems is a common issue for governments. Unfortunately, it’s not one with a quick fix. By auditing your current systems and the time spent on them, you can start the process of finding a better solution that will reduce the frequency of dirty data.


Further Reading:

County Human Services Department | SCS

Case Study: Increasing Efficiency & Data Access for Human Services County Department


Superior Consulting Services (SCS) is a Microsoft-centric technology firm providing innovative solutions that enable our clients to solve business problems. We offer full-scale data modeling, analytics, and custom app development.