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Tackling data quality issues requires 'a structured approach'

Rachel Wheeler Archive

In order to achieve at the highest possible level in a variety of areas - including marketing, sales and customer service - it's important that companies have high standards for data quality. But often, there's a disconnect about who exactly should assume this responsibility. Should good data be a company-wide focus, or should it merely be a job for the IT department?

Lately, there's been speculation that companies are suffering when it comes to data quality because they lack a centralized approach. They don't know who should be in charge of ensuring good data, or even where they'd begin.

That may not be the entire problem, though. According to Smart Data Collective, the issue might not be centrality so much as general focus. In other words: As the MIKE20 Governance Association explained, it's a matter of a structured approach.

"Left to their own devices, business systems and processes will tend to decay towards a chaotic state over time, and it is management's role to keep injecting focus and energy into the organization," the source stated. "If this effort can be spread broadly across the organization, then there is an overall cultural change towards better data. Change the culture, change the result. That doesn't require centralization to make it happen."

The news source argued that many organizations haven't yet bothered to give due consideration to data quality. Because of these shortcomings, businesses often struggle to meet their sales and service needs. Sometimes, their weaknesses are even hidden, making it difficult for them to dig deep and find solutions.

Data quality issues can be managed locally. Each department can look at its own banks of information and look for answers, rather than foisting that responsibility across the board upon one office. Together, companies can improve their data.

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