Building an internal analytics function seems straightforward on paper. Hire a manager, bring on an analyst or two, buy the tools, and you’re in business. In practice, the math tells a different story — and for most mid-market companies, it’s a story that ends with a significant budget overrun and a capability that still isn’t delivering what the business actually needs.
Start with salaries. According to Salary.com, the average Data Manager in the United States earns $141,221 per year as of early 2026. Add a Business Intelligence Analyst — Glassdoor puts the average at $116,427 annually — and you’re already at over $257,000 in base compensation alone before a single dashboard has been built. Factor in benefits, payroll taxes, and employer contributions, which typically add 25–30% on top of base salary, and that two-person team is costing the business north of $320,000 per year.
And that’s before tools. A mid-market analytics stack — data integration software, a BI platform, cloud storage, and licensing — can add anywhere from $30,000 to $80,000 annually depending on the scale of the operation. Total first-year cost for a minimal internal analytics function: conservatively $350,000 or more, and that assumes you can hire quickly and that the people you hire ramp up without friction.
The hidden costs nobody budgets for
Hiring is only the beginning. Analytics talent is among the most competitive in the market — turnover is high, and replacing a senior analyst or data manager typically costs 50–100% of their annual salary in recruiting, onboarding, and lost productivity. There’s also the time cost: a new internal team spends months understanding the business before they can produce reliable, trusted output. And when key people leave, they take institutional knowledge with them.
Then there’s the ongoing maintenance burden. Dashboards break. Data sources change. Business questions evolve. An internal team spends a substantial portion of its time keeping existing reporting functional rather than advancing analytical capability — a dynamic that frustrates both the team and the business leaders waiting for better insight.
Managed analytics changes the equation entirely. For a fraction of the cost of building internally, a business can access a full team of experienced BI professionals, an established technology stack, and a structured delivery model — live within 30 days, with no hiring risk and no maintenance burden landing on the internal team. The question isn’t whether you can afford managed analytics. It’s whether you can afford not to consider it.
