Why Ongoing Data Maintenance Is Essential for an Outcome‑Driven Enterprise Data Strategy

As part of an enterprise data‑strategy series, this piece highlights the critical role of leadership and responsibility in guiding data initiatives and stresses that data decay is inevitable unless continuous, proactive maintenance is established.

According to Gartner, low‑quality data can cause average annual losses of $15 million, a problem that worsens as information environments become more complex. While companies invest heavily in analytics, cleansing, and enrichment, they often overlook the need for an always‑on data‑maintenance capability.

A results‑driven data strategy should define how to manage the most important data continuously, covering:

Data‑quality business rules and operations

Data‑maintenance shared services

Service‑level agreements (SLAs)

Required maintenance processes and key performance indicators (KPIs)

Responsible owners

Success hinges on a proactive, coordinated maintenance plan that is consistently effective. Automation is recommended, but accountable business and IT owners must still oversee:

Creating and updating business rules

Reviewing current data operations and quality reports for unresolved issues

Establishing remediation for identified problems

The biggest obstacle is assuming that providing tools will keep data clean; most people lack motivation unless their compensation or invoicing depends on accurate information. Even when certain fields are maintained, other critical fields may be ignored, making dedicated owners essential.

To start, reuse the business rules developed for data‑strategy governance, as many of them apply to maintenance. Transform workflow‑based systems into proactive, always‑running processes that include regular verification (e.g., monthly or yearly email checks).

This mindset shift recognizes that relying solely on tools and workflows cannot prevent data decay; a continuous, proactive data‑maintenance program must be integrated into the overall data strategy.