Published On: January 4th, 2019Categories: Uncategorized

Our 11 most popular articles of 2018

2018 was a wonderful year for us here at NodeGraph – largely due to all of our fantastic users, partners, and readers! So thank you! As an ode to the year just gone, we’ve put together a list of our top 11 blog posts of 2018. Enjoy the montage!

1. 5 essential elements of Data Governance

“What is data governance? Well, for one, it is a buzzword. Particularly with the GDPR around the corner. And, with buzzwords, we often forget to slow down and investigate what they actually entail. But you know us, we are always looking out for you. So we have decided to dedicate this article to exploring 5 essential elements of Data Governance as well as a general definition.”

Link to article

2. What is Data Lineage?

“This one is for all you newbies in the business intelligence industry. Or for those of you that need a quick refresher. Or for those of you that just really love infographics. Ok, so everyone is welcome, but why are we here? To explain data lineage and some of the terms that go hand-in-hand. And, considering the visual nature of data lineage, we thought there would be no better way of explaining it than through an infographic. Scroll away!”

Link to article

3. What is data literacy and why do we need it?

So what is data literacy? What better way to gain a proper understanding of the term than to consult an expert? As can be explored further in Priyankar Bhunia’s article, James Fisher, VP Global Product Marketing at Qlik, offers his understanding of what the skill entails. He says that:

“Data literacy spans a broad set of processes in the analytics workflow. It is the ability to read, work with, analyse and argue with data.”

Alright, so it doesn’t just involve understanding data. To be literate, you also need to have enough confidence to question data that is not acting in the way that it should. And sure, there is no way to know everything. And to detect anomalies in vast amounts of data is borderline impossible. Rather, literacy assists the analysis process, allowing for the human element of critique to be involved.

Link to article

4. Qliktionary – a business intelligence dictionary

“Looking for some business intelligence definitions? This is the place. Scroll through terminologies like Big Data, Data Lineage as well as Qlik-terms such as QVD and QVW.”

Link to article

5. Jerry DiMaso from Axis Group discusses data literacy and NodeGraph

“We had a chat with Jerri DiMaso, VP of Enablement at Axis Group, about NodeGraph and data literacy. Enjoy the full interview or read the transcript below.”

Link to article

6. Mercy Ships uses NodeGraph for impact analysis

“We would like to introduce you to Mercy Ships — a non-profit organization that travels around the developing world providing free medical care onboard their hospital ships. Their mission? To bring “hope and healing to the world’s forgotten poor“. And, beyond promoting this charitable organization, we would like to tell you the story of our collaboration.”

Link to article

7. What is the GDPR, really?

“It’s left, right and center and, according to everyone in the Business Intelligence industry, it should be your number one priority. Of course, we are talking about the impending General Data Protection Regulation (or GDPR for those that don’t have 5 minutes to spare spelling it out). And while information is being bombarded to us via our screens, it’s still not entirely clear what changes we can expect. So, we wanted to take the time to break down all of the individual elements of the GDPR and give it to you straight. Without further ado, let us answer the question “What is the GDPR?” for individuals and organizations alike.”

Link to article

8. The University of St Andrews uses NodeGraph to visualize and understand QlikView data

“The University of St Andrews uses QlikView to analyze their student records, student applicants, estates, research grants, etc. Although they find that QlikView offers extensive insights, they wanted a tool that could help them to understand and properly document their data.”

Link to article

9. What is Data Quality? And why should you be thinking about it?

“As the Big Data industry continues to grow, organizations are becoming increasingly hungry for more and more data. But is the saying “the more, the merrier” always applicable? We’d argue no. Not unless you are maintaining a high level of data quality. What is data quality, you ask? That’s what we are here to tell you.”

Link to article

10. What is metadata? And why does it matter?

“What is metadata? Whether you’re familiar with the term or not, this exploration piece will take you through the ins and outs of metadata, and will let you know why we think it will play an important role in the future of business intelligence.”

Link to article

11. How much is poor Data Quality costing you?

“We have already tackled the definition of Data Quality in our post “What is Data Quality? And why should you be thinking about it?“. So, this time around, we decided to have a closer look at Data Quality figures and trends across the globe. Scouring the web, we have collected what we consider to be some of the most interesting findings when it comes to quality – unfortunately largely connected to the lack thereof.  Keep reading to find out more about the issue at hand – and how to solve it!”

Link to article

Here’s to 2019!

That’s it for this time! Hope you’ve enjoyed looking back at some of our most popular articles of 2018 and here’s to a fantastic 2019! Please feel free to drop us a comment below if there is something you want us to write about in the future.

If you are new to NodeGraph, first of all – welcome. We are a data quality platform for QlikView and Qlik Sense. To find out how we can help you take control of your data, get started today.

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