Top 5 Data Challenges for
Midsize Companies
(and how to overcome them)
Back to Resources
Introduction

Midsize companies often find themselves in a data dilemma: they have too much data to manage manually, but not enough resources to implement enterprise-level solutions. Below, we outline the top 5 data challenges midsize businesses face and provide actionable strategies to overcome them.

1. Data Silos Across Disparate Systems

Challenge: Data trapped in separate systems (e.g., CRM, ERP, spreadsheets) leads to fragmented insights and inefficient reporting.

Solution: Implement a centralized data warehouse to unify data from all sources, enabling seamless reporting and analysis.

2. Inconsistent Data Quality

Challenge: Inaccurate or duplicate data undermines decision-making and erodes trust in reports.

Solution: Establish data governance policies and use automated tools to clean and standardize data.

3. Limited IT Resources

Challenge: Midsize companies often lack the in-house expertise to manage complex data integrations.

Solution: Partner with a data integration specialist to handle setup, maintenance, and scaling without overburdening your team.

4. High Costs of Enterprise Solutions

Challenge: Enterprise-grade tools are often too expensive or complex for midsize budgets.

Solution: Choose scalable, cloud-based solutions tailored to midsize needs, offering flexibility without breaking the bank.

5. Lack of Actionable Insights

Challenge: Raw data is overwhelming without tools to turn it into meaningful insights.

Solution: Invest in business intelligence dashboards to visualize key metrics and trends, empowering data-driven decisions.

Conclusion

By addressing these challenges, midsize companies can transform their data from a liability into a strategic asset. Ready to start your data unification journey? Contact us for a free consultation.