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Data Quality Blog

http://blog.naveego.com

The New DMA Initiative Could Be a Model for Other Industries to Follow

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One gets the sense that the business world is finally seeing the imperative nature of data quality solutions. So much so, that we’re witnessing non-profit, membership organizations in the data and marketing space offer new initiatives on this issue as a membership benefit. The Data and Marketing Association recently announced the beginning of the Data Quality Labeling Standards program to help marketing professionals and data experts in the marketing field make better choices on third-party data vendors. To us, this seems like a fantastic initiative for other industries to follow.

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Does Your Organization Need to Invest in Data Quality Help?

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If you’re considering finding out more about data quality solutions, there’s likely a reason you’re doing so. But identifying why a solution is necessary for your business and how it’d make a positive impact are two issues very much worth looking into prior to jumping into a solution head-first. If you’re considering a data quality solution, here are a few questions to ask yourself and your team before taking the issue to the C-Level.

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How to Start Addressing Data Quality in Your Department or Company

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Once properly investigated, it usually doesn’t take much further cajoling to get business leaders to take action to resolve data quality issues. However, due to the scale at which individual departments and companies as a whole have adopted data-driven business plans, it can be difficult for leaders to then pump the proverbial brakes to ask serious questions about their data. In order to help leaders take this step, here are a few simple places to start to get the ball rolling towards meaningful data quality improvements.

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There's a Gap Between Data Quality Confidence and Data Quality Reality

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Upon stumbling across the Banking Technology Vision 2018 report, it became apparent that a common trend related to data quality was evident in the banking industry. In many industries, the data stakeholders are routinely confident in the quality of their data, accepting its validity and accuracy at face value. However, a deeper dive reveals that their confidence is misguided. Here’s a quick look at why feeling good about your data doesn’t mean that your data is reliable, accurate or valid. 

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Moving Towards BI? Think About Data Quality First

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So much attention is being brought to new technologies like Business Intelligence tools and analytics platforms. This attention isn’t unwarranted. The potential for BI, analytics software, and even artificial intelligence is almost limitless and will likely change how companies do business for decades to come. The issue is, in the rush to adopt these incredible technologies, many companies neglect a crucial component to these technologies' effectiveness: data quality.

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GDPR is Coming: Is Your Company Prepared?

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You’ve likely heard about GDPR (General Data Protection Regulation) going into effect for EU nations on May 25. It’s less likely that your data team has had much time to react to this new consumer protection. They may have thought it won’t have any impact if the organization is outside the EU’s jurisdiction. If they thought that, they’d be wrong. There's a lot to learn about the GDPR and its wide-ranging impacts on companies around the world. Here’s a look at why GDPR will be a watershed moment for businesses, consumers, and data management teams alike.

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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?

by on in Insider , Data Quality

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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