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Data Quality Blog

http://blog.naveego.com

Thinking of Data as a Commodity

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For those working outside the data industry, it could easily seem like the buzz surrounding new technologies like data quality, analytics, BI tools, artificial intelligence (and others) is being generated by and for the techies in the back room in IT. But that perception has changed drastically in recent years, as business leaders in every industry adopt a data-driven approach to business that helps organizations make better decisions, predict trends, cut costs, and discover new opportunities based solely on their data. This makes the creation, storing, cleaning, accessing and actioning of data something more like a commodity than just numbers in a database, doesn’t it? We certainly think so.

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What's Driving the Rapid Growth in the Data Quality Tools Industry?

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Companies around the world are expected to spend more and more on data quality tools in the coming years. How much? Well, the sums of money might be surprising to some, but to most within the industry, the notion of the cumulative spend of $1.2 billion by 2022 seems in line with the times. Why? Because there are new variables emerging that have made the generation of data increase exponentially, at the same time that the utilization of this data has become the main differentiator in almost every aspect of modern business.

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Why Poor Data is Detrimental to Your Business

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As a leader, you may be hearing a lot of speakers at conferences and articles on business websites discussing the importance of addressing your data’s quality. Even after hearing and reading the many benefits of having a high level of data quality, you may still find yourself thinking, “But really, how can poor data really hurt my organization?” Aside from learning the 1-10-100 rule of data quality, we highly recommend taking a little time to think about how having poor quality data can wreak havoc on your enterprise.

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One Simple Way Marketers Can Improve Data Quality

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Good data quality processes can have an incredibly positive impact on the overall quality of an organization’s data. There’s perhaps no better representation of the importance of a data quality process than in a company’s marketing department. With digital marketing quickly becoming the main source of brand awareness, leads, and sales revenue, being an effectively data-driven department is crucial for success. So, how can your marketing department take action to collect and utilize clean, actionable data? Let’s take a look.

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Demystifying the Term "Data-Driven"

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When the term “data-driven business” comes up in meetings and conferences, most executives silently nod in complete agreement. But deep down, they’re thinking, “What does this data-driven drivel even mean?”

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Finally - A Data Quality Solution That is as Simple as it is Effective

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Effective. Unique. Revolutionary. Our data quality solution has been called a lot of things. But the description we enjoy most has been this one: simple. There are lots of data quality solutions out there that can get the job done, but they often require a level of investment and maintenance that reduce them to being less than cost-effective because they’re just too complicated. We knew we made our solution simple enough when even our marketing people can explain how it works. Here’s proof.

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Big Data Made Big Strides in 2017

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2017 will be known as the year that Big Data went from buzzword on tech blogs and into practice at companies and organizations around the globe. The 2017 Big Data Analytics Market Study shows that companies are ready to start taking action to make their data accessible and interpretable. The incentives to do so are clear; more insights, quicker recognition of business opportunities, lower costs, etc. But up until now, those insights have been limited to a fraction of companies worldwide. We can now say, the time of Big Data on a large scale has arrived.

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New Survey Provides Insight Into Financial Sector's Data Concerns

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A recent survey of banks from around the world reveal the varied challenges that financial institutions are facing when it comes to managing their enormous amounts of data. Chief among the hurdles mentioned are antiquated data infrastructure and regulatory requirements. A closer look at the data tells us that poor data quality is one of the main reasons for the frustrations endured by the respondents.

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Naveego in 2017: A Look Back at a Stunning Year!

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2017 has been a watershed year for our fast-growing company. New faces, new partners, new programs - it’s been a whirlwind of learning and development. We wanted to put together a brief list of all of our milestones and accomplishments, but that list quickly turned into a novel. Instead, here’s an overview of what made 2017 the thrilling year it turned out to be!

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A Few of the More Shocking Stats Associated with Data Quality

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I’ve been writing on data quality for over a year now and it remains one of the most fascinating tasks of my work week. It’s an industry that’s new, always changing, and is quickly becoming the most important aspect to a company’s chances of thriving in the digital age. But for the tens of thousands of words I’ve written since I jumped into the data quality space, it’s really the numbers that do the talking. If I could tell business leaders why data quality is crucial to their business’s success, here are the data sets I’d choose to present to the man or woman at the top.

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