Blog Details

“I can’t find the right data.” “Which version of this dataset is accurate?” “Who owns this data pipeline?” These are common frustrations we hear from teams struggling with fragmented data environments. At CHC, we specialize in designing scalable and efficient data infrastructures, helping organizations navigate these challenges. Beyond breaking down silos and aligning stakeholders, we often face technical hurdles such as: 

• Inconsistent metadata 
• Lack of data governance 
• Poor lineage tracking 
• Difficulties in making data accessible and ensuring quality 

When we decided to implement Atlan as part of our data strategy, we knew success wouldn’t come from simply adopting a tool. It required careful planning, seamless onboarding, and a clear strategy to maximize ROI. 

Preparing for a Successful Atlan Onboarding 

Before integrating Atlan into a data environment, we always take a step back to assess the broader picture. A thorough evaluation of the existing data infrastructure is crucial. Understanding data silos, governance challenges, metadata inconsistencies, and collaboration pain points helps us pinpoint exactly where Atlan will add the most value. 

Key steps we take to prepare for success: 

• Define measurable objectives – Improving metadata management, enhancing data discoverability, and ensuring compliance. 
• Conduct a metadata hygiene exercise – Standardizing metadata before onboarding eliminates inconsistencies and creates a structured foundation. 
• Engage key stakeholders early – Data engineers, analysts, and business users each have unique needs, and it’s important to align their expectations. 
• Integrate with existing workflows – Ensuring Atlan complements existing tools and processes prevents unnecessary friction. 

Without clear goals, any new tool—no matter how powerful—can become just another unused system. 

Enabling Seamless Collaboration with Atlan 

Atlan is more than just a metadata management platform—it’s a collaboration hub. However, simply having a tool doesn’t guarantee adoption. Ensuring that teams actively use Atlan requires a combination of: 

• Training and onboarding programs to familiarize users with the platform 
• Automation of metadata enrichment to reduce manual effort 
• Embedding Atlan into communication platforms (e.g., Slack, Teams) to encourage usage 
• Setting up role-based access controls to strike the right balance between data security and accessibility 

A critical success factor is ensuring that Atlan enables seamless data discovery and documentation. One of the biggest barriers to collaboration is the difficulty in understanding and trusting data assets. By leveraging Atlan’s: 

• Automated metadata enrichment 
• Data lineage visualization 
• Business glossary integration 

...we create a single source of truth, improving data accessibility and reducing time spent searching for the right datasets. 

Leveraging Active Metadata for Productivity Gains 

Active metadata capabilities in Atlan take productivity to the next level by enabling: 

• Automated data quality alerts to proactively address issues 
• AI-powered recommendations for dataset usage and governance 
• Workflow automation to streamline data operations 

Governance is often perceived as a blocker to agility, but Atlan strikes a balance between control and flexibility. With: 

• Tag-based access policies 
• Audit trails 
• Compliance-ready frameworks 

...organizations can meet regulatory requirements while maintaining efficient data workflows. By tracking key metrics such as adoption rates (number of users actively engaging with the platform), query resolution times (speed of resolving data-related questions), and data asset usage (frequency of dataset interactions and reuse across teams), teams can measure the impact of Atlan on collaboration efforts and refine their approach over time. 

Ensuring Maximum ROI with a Strategic Approach 

At CHC, we’ve seen firsthand how Atlan can transform data collaboration. However, we don’t believe in a one-size-fits-all approach. To ensure maximum ROI, we focus on: 

• Pilot projects and proof-of-concepts (POCs) before full-scale implementation 
• Validating use cases to confirm alignment with business goals 
• Fine-tuning governance models to fit organizational needs 
• Measuring early success through adoption rates and efficiency improvements 
• Continuous Enablement & Support – Atlan isn’t just another tool in the stack; it’s a shift in how teams collaborate with data. That’s why we provide ongoing training, hands-on support, and iterative refinements to drive sustained adoption and tangible value.  

If your organization is considering Atlan, our advice is simple: invest in the groundwork, engage the right stakeholders, and iterate based on user feedback. When implemented thoughtfully, Atlan delivers significant value, improving data accessibility, governance, and productivity. Let CHC help you make the most of your data investments and enable true data collaboration at scale.