Self-Service Analytics

Self-Service Analytics is Not Enough. We Need Self-Service Data!

October 18th, 2017 | Todd Goldman

The idea of “self-service” analytics really took off when Tableau was founded in 2003 with the idea that business analysts shouldn’t have to go to IT to do basic business intelligence. Fundamentally, every time they had to make a request from someone in IT to generate […]

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Self-Service Analytics

Self-Service Analytics is Not Enough. We Need Self-Service Data!

The idea of “self-service” analytics really took off when Tableau was founded in 2003 with the idea that business analysts shouldn’t have to go to IT to do basic business intelligence. Fundamentally, every time they had to make a request from someone in IT to generate […]

Read More October 18th, 2017 | Todd Goldman
Case Studies

How Nordea Achieved Compliance for Far-Flung Data

Our Waterline Data customers are doing some great things with our Smart Data Catalog solutions—“powerful” things according to one customer in particular.

That would be Nordea, the largest financial group in Northern Europe.

Read More October 12th, 2017 | Todd Goldman
Data Catalog

Data Fingerprinting Part II: Automatically Inferring Data Lineage

In my earlier post, I wrote about how Waterline uses a combination of data profiling with machine learning to create a new process called data fingerprinting that automatically tags columns of data with the appropriate business term regardless of the technical column name.  An additional […]

Read More September 26th, 2017 | Todd Goldman
Data Catalog

Looking at Atlas and Navigator? Do You Need a Metadata Repository or Do You Really Need a Data Catalog?

I have been having a lot of conversations lately with organizations that are implementing “Big Data” and have seen many organizations consider using Atlas or Navigator as their “data catalog” of choice for data governance. Because this topic has been coming up so much, I think it is time to discuss why those technologies are not sufficient as a data catalog or for solving real enterprise data governance problems.

Read More September 20th, 2017 | Todd Goldman
Data Catalog

Pulling Your Data Out of the Fog (Part 3 of 3)

Currently there are tens of thousands of analysts, researchers and data scientists all requiring access to data in order to do their jobs. But finding, provisioning and governing that data is not only difficult. It can be very expensive.

Read More September 5th, 2017 | Alex Gorelik
Data Catalog

Pulling Your Data Out of the Fog (Part 2 of 3)

The challenge: most organizations are relying on the street light method to find data. They’re searching for data only where they can see, where there is already a streetlight shining. That is not necessarily where the data is actually located. Instead, it’s often hidden in the shadows where there is no light. The result: they don’t know what data is even available.

Read More August 23rd, 2017 | Alex Gorelik
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