Data Analysis

DATA ANALYSIS
Go ahead, grab that low-hanging fruit.

Whether you’re looking for a timely analysis or a concentrated analysis on a specific campaign or investment, we offer a flexible and unique approach to ensure you the the most value possible from your data. Our unique blend of business consultants, data analysts and optimization team can help you fully understand the insights and next steps by deriving recommendations across all of your marketing channels.

 

 

The Human Element of Bad Data, Internally or with Your Agency

In today’s data-driven world, having access to relevant and clean data is a powerful driver to success for brands worldwide. With the modern advancements in technology and data expertise, it may be surprising to know that bad data still plagues many of the world’s leading brands. Bad data is more than just an inconvenience though, it’s expensive. In 2016 alone, bad data cost leading brands over an estimated $3 trillion in the U.S. There are numerous causes of bad data and they range fro...
By Corey Galas
About the Author:

Corey Galas is a Team Lead, Data Management at Ebiquity.

Case Study Healthcare

The benefits of utilizing testing and data analysis are well known and, when it comes to achieving business goals, having an effective testing and analytics campaign in place can be the difference between realizing success or failure. Recently, a leading Healthcare Association was able to increase their registration completion rate through testing and analysis, allowing them to better personalize their member’s experience by delivering customized content. Successful testing and data analysi...
By Marketing Team
About the Author:

For any questions or queries, please contact USMarketing@ebiquity.com

Data Governance 101: How It Can Make or Break Your Data Analysis

Data - it remains the king of marketing buzzwords. We can’t talk about it enough, and it is often as scarce as it is endless. That’s because if you aren’t collecting the right information at the right times in the right places, you’d be better off having never collected it at all. But data is vital to making informed business decisions. So how do you keep from getting constantly bombarded with numbers and instead reveal the key insights that are relevant to your business?  ...
By Laurilee Kroll
About the Author:

Laurilee Kroll is a Consultant at Stratigent.

Telling a Story with Data Visualizations

Data visualizations allow us to tell a story with numbers, in a fashion that our brains can instantly comprehend. However, being successful with your visualizations depends on the quality of the data utilized, the right questions posed, an understanding of the audience – not to mention, an elegant simplicity that immediately communicates its purpose.   This isn’t always easy to achieve; let’s face it, our human brains are incapable of understanding the ever-increasing amounts of...
By Robby Trosan
About the Author:

Robby Trosan is a Business Analyst at Stratigent 

Data: The New Form of Currency for Advertisers

We are roughly a week removed from the publication of Ebiquity and FirmDecisions’ recommendations for the media industry and it was an honor to personally contribute to that project with the Association of National Advertisers (ANA).  Part One of the Transparency Study brought forth facts related to rebates and other non-transparent business practices in the U.S., and we were tasked with compiling the prescriptions, principles, and processes for advertisers to capitalize on the opportu...
By Bill Bruno
About the Author:

Bill Bruno is the CEO - North America, Ebiquity.

The Art Behind the Science: Understanding Data Modeling Fundamentals

Data is a ubiquitous facet of today’s business landscape. It flows from digital assets, to physical purchase data, to a host of other company-specific sources. But, what is the most effective way to glean actionable insights from this abundance of data? I have two words for you: data modeling.  Data modeling – also known as econometric data modeling – sounds scary at first, but it doesn’t have to be. In the context of the business decision-making process, data modeling attempts t...
By Casey Judson
About the Author:

Casey Judson is an Analyst, Team Lead at Stratigent

Native Mobile Analytics 101: The Good, the Bad, and the What You Need to Have

Nothing is hotter than mobile right now. 72% of Americans have some sort of mobile device. [1] 62% of digital media time is spent on smartphones and tablets. [2] Mobile apps have also driven most of the growth in digital media usage in the past two years. While these numbers all represent the unique opportunity of mobile and building mobile apps, they also present unique challenges when it comes to native mobile analytics, which refers to data gleaned from a standalone application on a part...
By Jordan Kanter
About the Author:

Jordan Kanter is an Analyst, Team Lead at Stratigent

No More Status Quo: How to Find the Right Analysts for Your Brand

If we did a search for the most used statement in any of my newsletters, it would probably be a variation of “the purpose of collecting data is to take action on it.” Oddly enough, I’ve actually never taken that a step further and outlined what you should look for in an individual to analyze that data and determine what those actions should be. Whether you run a Fortune 500 company or are just starting out, it’s vital to understand what makes for a good analyst – and how that analyst c...
By Bill Bruno
About the Author:

Bill Bruno is the CEO - North America, Ebiquity.

Is Your Legacy On the Line? Why Maintaining Legacy Data Layers is Absolutely Necessary

Designing, implementing, and maintaining a data layer is not for the faint of heart, especially the latter. As your analytics endeavors grow, your data layers may also grow into an unwieldly beast of a maze – track these users, store this data, change this location, deploy this design, etc. While your organization may constantly be putting plans into motion to expand, difficulties may arise with time as you add more to your already complicated data layer setup.  For example, let’s sa...
By Kevin Joh
About the Author:

Kevin Joh is an Analyst at Stratigent

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