Data Governance

Top 5 Reasons Why Executives Love Domo

Top 5 Reasons Why Executives Love Domo

As a Domo Consulting partner, we’ve seen an increase in executives reaching out to us to get their hands on this fast growing BI technology. In this blog post, Greg Armstrong, Blast’s Senior Business Analyst, outlines his top 5 reasons why executives love Domo, and why you should too!

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November 27, 2017

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Validate 2017: Top 6 Data Governance Takeaways

Validate 2017: Top 6 Data Governance Takeaways

Up until now, data governance hasn’t received a lot of attention, especially within digital analytics, but that’s changing. Data-driven decision making is driving the focus on data governance to ensure business decisions are based on accurate data.

Hear our Top 6 takeaways from Validate 2017 — the recent ObservePoint conference in Park City, Utah. These tips and takeaways are straight from analytics industry experts and include insights regarding the future of data, how to break down barriers between Marketing and IT, whether or not you should add a Chief Data Officer (CDO) to your organization, and more.

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October 16, 2017

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Tealium iQ: Data Privacy as a Differentiator

Tealium iQ: Data Privacy as a Differentiator

A vast majority of Americans believe that data privacy is important, but few believe they have control over their own privacy settings. This presents companies with an opportunity to stand out by taking their customers’ security concerns seriously. Read how we partnered with Healthcare.gov. to do just that.

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October 12, 2016

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Improve your Web Analytics Data Quality

Improve your Web Analytics Data Quality

Do you trust your web analytics data?

Whether it has been a week, a month, or a year after your web analytics strategy is implemented, how do you know if the tracking is still accurate?

Most likely you don’t and you are not alone. Data tracking monitoring and data governance in digital analytics is only beginning to gain visibility. Unless you test every single component of the implementation, every day (which is by no means practical) you cannot have full confidence in your data quality.

There are several enterprise level and open source solutions in the market to address this business-critical issue of maintaining data quality.

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May 18, 2016

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