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Data Quality Blog

http://blog.naveego.com

Data Alignment: A Key Component in the Data Quality Process

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A key differentiator for our data quality solution is the ease with which Naveego is able to align data sets just as users intend, without the tedious, manual matching of specific records. This data matching can be viewed in two scenarios that perfectly illustrate this advantage for your organization. In this short piece, let’s take a look at the advantages of using Naveego to get your data exactly where you need it to be in a matter seconds.

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When it Comes to Data Quality, What Are You Waiting For?

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There’s a reason Naveego’s data quality solution is being taken note of within the data quality industry. The detriment to a business caused by poor data quality is quickly being recognized by report after report as having a major impact on organizations’ bottom line, increasing inefficiencies within the organization, and reducing brand trust in the eyes of partners and consumers. What’s more, poor data quality is frequently cited as the main reason companies miss out on important insights and opportunities. After all, metrics are only as accurate as the data they’re constructed with.

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75 Business Executives Had Their Data Quality Assessed: Here Are Two Key Takeaways from the Results

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It’s become a bit cliche to hear a business executive talk about being at data-first organization. However, more often than not, the number of companies who both walk the walk and talk the talk is few and far between. While accumulating, storing, and analyzing data has become commonplace, many executives are missing a crucial step in the data-driven culture they’re trying so hard to adopt. The important step they’re missing out on? Ensuring the data on which they’re basing their decisions is of high quality.

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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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