Metadata Minute (Issue #31): Data & Systems Acquisitions

When two publishing companies merge, the champagne toasts focus on the list, the talent, and the market share. But once the ink dries, the real work begins: integration. Most due diligence during a merger or acquisition focuses on P&Ls and legal contracts. However, the bridge between a signed deal and a profitable one is the integrity of the data. While certain buyers are often willing to inherit legacy systems with the intent to integrate them later, failing to audit those data habits means underestimating the true cost of that technical debt.

Drawing on our experience helping publishers navigate these transitions, here is your checklist for a successful systems integration.

1. Establish the Source of Truth

In an acquisition, you are often merging two entirely different “languages” of data. Your first job is to define the grammar.

• Audit the System Architecture: Hunt for silos. Is a legacy ERP handling finance while a separate, dusty spreadsheet handles rights? Knowing if the data is all-encompassing or fragmented determines whether you are consolidating or rebuilding from scratch.
• Identify the Authority: It’s not just about where you store data, but who retailers look to as the source. Establish a single, definitive source of truth immediately to prevent conflicting updates from overwriting your hard work.
• Structure for the Future: Decide early how the new entity lives in your system. Are they an imprint, a standalone publisher, or a distributee? This decision dictates everything from metadata delivery in tools like Firebrand’s Eloquence on Demand to your financial reporting.

2. Audit for Retail Readiness

Data can be “complete” without being functional. A successful migration requires a deep dive into the health of the records.

• Budget for Cleanup: Data cleaning is not a side project for your team’s spare time, it is a mission-critical project phase. If you don't allocate specific hours to pulling and scrubbing data, your launch date will slip.
• The Green Light Test: Before a mass import, run a validation audit. Does the data satisfy the immediate, must-have requirements of your trading partners? A messy catalog is difficult to value and impossible to trust; baseline validation proves the data is reliable before it hits your systems.
• Protect Important Titles: Don’t try to boil the ocean. Identify your high-performing backlist titles and prioritize them for immediate cleanup. Protecting current revenue is the priority while you manage the multi-month project of a full audit.
• The Retail Reality Check: Don’t trust the “Sent” receipt. Check the live sites. Is the metadata actually rendering correctly on Amazon and Barnes & Noble? If it isn't on the screen, it doesn't exist.

3. Identify Workflow and Ownership

Data is dynamic; it moves through people. M&A experts will tell you that culture and personalities can make or break a deal, and data workflows are where that culture lives. To break down silos, you have to find the people who actually have the inside information.

• Find the Data Whisperer: Every company has one person who understands how the nuts and bolts actually fit together. Find them. Have them show you—under the hood—exactly how they update records and where the workarounds live.
• Challenge Legacy Habits: Use the transition as an excuse to kill inefficient processes. Ask: “Does this step serve a purpose, or is it just how we’ve always done it?” If a process is time intensive or monotonous, it’s a candidate for automation or elimination.
• Map the Handoffs: Identify exactly when a title moves from Acquisitions to Production to Marketing. If you don't know who owns a field at any given time, the data will inevitably stall or become corrupted during the handoff.

By treating metadata as a core asset during due diligence, you protect your investment and ensure your new titles are ready to perform the moment they hit your system.