Building a 100-Day Data Infrastructure Plan Post-Acquisition

7 min readTennessee Data Lab
data integrationpost-acquisitioninfrastructure planning
Building a 100-Day Data Infrastructure Plan Post-Acquisition

The first 100 days after an acquisition are critical. While leadership focuses on culture and strategy, the data infrastructure integration often gets overlooked—until something breaks. You'll inherit disparate systems, conflicting definitions, and teams working with different tools and processes. Without a deliberate plan, you'll spend months in reactive mode, and your deal economics will suffer.

The companies that execute acquisitions successfully treat data infrastructure integration as a distinct workstream with clear ownership, measurable milestones, and hard dependencies on other integration activities. This isn't about building a perfect data warehouse in three months. It's about establishing functional data access, breaking down silos, and creating a foundation that lets the combined organization operate with visibility and speed.

Week 1-2: Assessment and Stakeholder Alignment

Start before day one. You need to know what you're walking into.

Conduct a technical inventory: Map every system the acquired company uses that touches data. This includes accounting software, CRM, operational databases, data warehouses, and even spreadsheets that drive critical decisions. Don't limit yourself to "official" systems—find the access databases, the Google Sheets that define pricing, the shared drives where the CFO's analyst maintains the forecast. Establish who owns each system and what data lives where.

Document the current state without judgment. You're not evaluating competence yet; you're establishing facts. Create a simple matrix: system name, owner, primary users, data freshness, integration points, and whether it's contractually portable post-acquisition.

Identify critical data flows. Which reports or dashboards does the executive team depend on daily? Which data feeds trigger operational decisions—order fulfillment, inventory allocation, cash forecasting? These become your north star. If the acquired company can't run payroll or fulfill orders because data systems are down, that's a crisis on day one.

Establish a data integration steering committee with representation from your IT, finance, operations, and executive teams. Include the acquired company's CTO or head of data if they have one. Meet weekly during the first 100 days. The committee's job is to prioritize trade-offs and remove blockers—not to make technical decisions, but to ensure technical teams have air cover to move fast.

Week 2-4: Short-Term Stabilization

Your goal here is to ensure nothing breaks and that critical reporting continues without interruption.

Freeze major system changes. If they're using accounting software that your organization doesn't support, don't migrate immediately. You'll create more problems than you solve. The acquired company keeps running on their systems through day 60 minimum. Document what needs to happen when.

Stand up a data access bridge. This is tactical. Your organization needs to see the acquired company's financial data in your consolidated reporting tools within the first month. You don't need perfect integration; you need functional access. Often this means:

  • Exporting data from the acquired company's systems on a scheduled basis
  • Loading it into a cloud storage location that your analytics tools can read
  • Building basic reports that show combined results

This feels inelegant, but it works. It keeps the business moving while you build the real integration.

Secure sign-off on data definitions. "Revenue" might mean different things in each organization. One company recognizes it when an order ships; the other recognizes it at invoice. These differences aren't edge cases—they flow through every executive report. Get finance, sales, and operations leaders in a room and define the truth for the combined entity. Document it. This single conversation prevents weeks of rework later.

Assess data quality in the acquired company. Run validation checks on critical datasets. How many customer records have missing phone numbers? What percentage of orders have missing cost data? You don't need to fix these issues immediately, but you need to know they exist so you can account for them in reporting and analytics.

Week 4-8: Foundation Building

Now you're moving beyond stabilization into genuine integration.

Design your target data architecture. This is your three-year blueprint, not a 100-day deliverable. Where will master data live? How will you handle analytics—in a centralized warehouse or through federated access? Will you consolidate operational databases or keep them separate? What about backups and disaster recovery? Get your infrastructure and database teams to sketch this out. It should fit on a whiteboard.

Migrate master data. Customers, vendors, employees, products—these are the nouns that everything else references. You can't integrate two organizations' systems effectively without resolving master data conflicts. Establish a single source of truth for each entity. This is tedious work, but it's foundational. If customer master data is messy, every downstream system will be wrong.

Establish data governance for the combined entity. Who owns which data? Who can access what? What's the approval process for new data requests? You don't need a 50-page policy. You need clarity: this person owns the customer dimension, that person owns the product catalog, etc. Make it clear enough that a junior analyst knows who to ask for permission.

Begin extracting and loading from acquired systems. Get the acquired company's financial data flowing into your consolidated reporting platform. Get their customer and transaction data accessible to your analytics team. This isn't about building transformations yet; it's about making data move reliably from point A to point B on a daily schedule.

Week 8-100: Integration and Optimization

You're past the critical initial phase. Now you're building toward the integrated operating model.

Complete system rationalization decisions. Which tools does the combined entity actually need? If both companies use business intelligence platforms, pick one. Decommission the other. These decisions should be made by week 10 at the latest; you don't want to be buying licenses or training people on systems you're going to eliminate.

Migrate to consolidated platforms on a schedule. Don't do everything at once. Migrate one functional area—say, accounting—with a clear cutover date. You want the team trained, the data validated, and the rollback plan tested before you flip the switch. Other teams watch this go smoothly (or learn from problems), and the migration velocity increases.

Build out advanced analytics. By week 12-16, your basic reporting is working. Now you can ask better questions. Build dashboards that help the combined organization spot opportunities: which customer segments are most profitable in the acquired company, which product SKUs should you rationalize, which processes are duplicated and can be consolidated. This is where data starts driving value.

Transition from project mode to operational mode. By day 100, data infrastructure handoff needs to happen from your integration team to your operational teams. Document runbooks for common tasks. Train the combined team on how to access data and request changes. Establish a change management process so bad updates don't break things for everyone.

The Reality Check

You won't complete a perfect, fully integrated data infrastructure in 100 days. That's not the point. The point is that by day 100, the combined organization can see consolidated results, access critical data reliably, and make decisions on a consistent set of definitions. You've stopped the bleeding and established a foundation.

The companies that struggle post-acquisition treat data infrastructure as an afterthought—something IT handles in the background. The ones that succeed treat it as a strategic lever. If you can see combined financial results faster than your competitors can, if your teams can answer questions about customer behavior without waiting a week for reports, if you can spot operational inefficiencies in days instead of months, you've captured real value from the acquisition.

Start the assessment before close. Assign ownership on day one. Hold your steering committee accountable for the 100-day milestones. Your integration will be faster, your deal economics will be stronger, and your teams will actually trust the data they're working with.

Ready to Get Started?

Let's discuss how Tennessee Data Lab can help your team.

Contact Us