Discover essential features and functionalities to consider when selecting a data quality management tool that aligns with your organization’s data management objectives and requirements

The Data Quality Landscape – Q1 2015 from Information Difference has recently been published.
Stack vs Best-of-Breed
The report highlights a key battleground- that between focused data quality vendors, that provide best-of-breed data quality capability, and so-called stack vendors that position data quality as a minor focus within a broader data management stack [Tweet this]
Stack vendors argue that a stack approach reduces integration challenges while best-of-breed vendors argue that their solutions produce better data quality.
Specialists still come out on top
The report seems to show that the best-of-breed vendors win on functionality – with our partner, Precisely, edging out the competition based on a combination of both functionality and market presence.
Possibly more importantly, the report shows that the best-of-breed data quality vendors win on customer experience.
One can argue that data quality is not about the best tools, nor is it always about being innovative and catering to clients’ current and future needs.
Dedicated Focus
However, the dedicated focus of our partners helps us to ensure that our customers get practical solutions for their real-world problems – including integration to the data integration, master data management, data governance and other data management layers. [Tweet this]
So it is pleasing to see our investment in the Trillium Data Quality partnership vindicated by neutral analysts.
Understand the importance of real-time data quality in meeting user demands and driving insights with perspectives from the importance of real-time data quality, optimizing your data management strategies.
Strike the right balance between ease of implementation and ease of use in Data Quality tools with guidance from ease of implementation vs ease of use in Data Quality tools, optimizing your data management processes.
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