The Hidden Challenges of Growing Your Analytics Stack

As organizations scale, their analytics strategies must evolve. Yet, many enterprises struggle with data and BI systems that were never designed for large-scale operations. Performance bottlenecks, governance gaps, and escalating infrastructure costs can turn these tools into obstacles rather than enablers.

A recent study by Dresner Advisory Services found that 54 percent of enterprises cite governance as a top challenge in managing data tools at scale. Additionally, 48 percent report slow query performance as data volumes grow, highlighting a critical gap in traditional BI and other data solutions.

The three major challenges of scaling BI and data solutions

1—Governance and security

Managing data access across multiple BI platforms creates compliance risks, inconsistent governance policies, and a lack of data lineage tracking. A Gartner report found that 67 percent of business leaders lack trust in their data due to fragmented governance.

2—Performance and scalability

Legacy data tools were built for departmental reporting, not enterprise-wide analytics. As organizations ingest more data, dashboards slow down, queries take longer, and IT teams struggle to maintain acceptable performance levels. A McKinsey study highlights that companies operating on siloed BI systems see an average 40 percent reduction in analytics efficiency due to performance bottlenecks.

3—Operational complexity

Large organizations require automated workflows, embedded analytics, and real-time data distribution, which traditional BI platforms struggle to deliver. Enterprises managing multiple BI tools report spending 30 percent more on IT maintenance than those that have consolidated their platforms.

Why Domo excels at scale

Domo is engineered for enterprise scalability, offering:

• Enterprise-grade governance and security: Advanced role-based access controls, audit logging, and real-time data governance dashboards ensure compliance across all data sources.
• High-performance cloud architecture: Domo is designed to handle massive data sets and real-time processing without performance lags, ensuring insights are delivered instantly.
• AI-driven automation: In Domo, you can proactively identify risks, automate insights, and deliver alerts before issues arise, reducing reliance on IT teams for maintenance and performance tuning.

BI is not just about managing larger data sets. It’s about ensuring that insights remain actionable, governance remains strong, and infrastructure remains cost-effective. Many organizations struggle with BI sprawl, where multiple tools lead to inconsistent reporting and a lack of trust in data.

By consolidating with Domo, you regain control, ensuring a single source of truth that can power strategic decisions at scale. Companies that continue to rely on fragmented BI tools will see increasing inefficiencies, compliance risks, and unnecessary IT expenditures.

Organizations that consolidate their tech stack now will gain a significant competitive advantage—faster decision-making, improved trust in data, and reduced operational costs.

Reach out to learn more about consolidating with Domo’s AI and data products platform.