Discover how the worth of big data skyrockets when paired with quality data, revolutionizing business operations and fueling innovation with insights from How Much is Big Data Worth? A Lot When It’s Quality Data.

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A side effect of the well-publicised Oscar Pistorius murder trial has been an inside view of how a criminal trial really works.

Law and Order fans may be disappointed for, rather than sudden and brilliant insight, the case is built through a methodical analysis of the data (evidence) available.

The quality of the data will directly influence the outcome.

Data quality affects the verdict

Guilty or innocent?

The prosecution has examined the evidence and determined that the defendant is guilty.

With the same data available the defence believes that the defendant must be proven innocent.

Data Governance determines Data Quality

Data governance determines data quality

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The defence has on a number of occasions suggested that evidence has been compromised and therefore does not support the States’ version of events.

In some instances, they may have scored points.

In others, the state has been able to show that the evidence is sound by referring to the labelled time and location where the evidence was found. The state must rely on sound data governance principles to prove the quality of the evidence.

Is poor data quality undermining your business decisions?

Just like a criminal trial, business decisions must balance probabilities and be supported by evidence.

Businesses invest billions in data warehousing, BI and analytics, big data projects, and, more recently, AI and Machine learning.

In many cases, decision makers ignore the evidence presented by these projects preferring to trust their gut. “We don’t trust the data” is the most common reason given for ignoring the BI analysis.

#DataQuality is put on trial every day

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The case for data integrity

Some will argue that data quality, by itself, is no longer enough for trust. While it is important that data is accurate, consistent and complete, high-integrity data must also have the business context necessary to ensure that it is relevant. This context comes through metadata management – adding context such as business terms, data lineage and the like, and through active data governance.

Not every trial receives similar attention.

Big data is driving increased spending on BI and analytics – spending that will be wasted if the results aren’t trusted.

Explore the myriad ways quality data drives revenue growth and enhances business performance with insights from our eBook How Quality Data Increases Revenue, unlocking opportunities for optimization and innovation.

Understand the negative implications of poor data quality on customer experience and brand reputation through insights from How Does Poor Data Quality Impact Customer Experience?, emphasizing the importance of data accuracy in building trust and loyalty.

It’s time that data quality receives the attention it deserves.