Meet Tableau Cloud. Discover the fully-hosted, cloud-based solution that empowers smarter decisions with fast, flexible, easy analytics. By delivering trusted data across organizations, Tableau Cloud enables more people and teams to uncover insights and become faster and more confident decision makers―ultimately leading to better, data-driven outcomes. Imagine the potential and experience the endless possibilities with powerful innovations coming soon.
Welcome to the June 2022 update. We are excited to announce the general availability of the new Format Pane, error bars and information protection updates, table navigation improvements, Connect to datamarts and Power BI Data Storytelling features. There is more to explore, please continue to read on.
In 1990, the key to SEO success relied on keywords. Today, it's way more complicated. The SEO landscape is constantly evolving, and marketers must evolve along with it. But to do that, it's important reflect on the biggest SEO challenges this year — and create a game plan to address them. Let's review the top six SEO challenges brands are facing in 2022, according to data from HubSpot Blog's 2022 Web Traffic & Analytics Report and other marketing experts.
As the post-pandemic recovery chugs along, the global economy is set to see major changes in the coming decades. Most significantly, China is forecast to pass the United States to become the largest economy globally. The world’s economic center has long been drifting from Europe and North America over to Asia. This global shift was kickstarted by lowered trade barriers and greater economic freedom, which attracted foreign direct investment (FDI). Another major driving factor was the improvements in infrastructure and communications, and a general increase in economic complexity in the region.
We are beginning to enter a golden age for business intelligence. We have been steadily moving in this direction for the 10+ years I have been involved in the industry, but until now, there always seemed to be some blocker. The volume of data, the many places it lived, the niche skillsets required to use the available tools and sometimes the cost meant data could be difficult and slow to access.
Over the past few years, consumers have become increasingly concerned with how companies use their data. And many feel passionate about protecting their privacy — in fact, HubSpot's Blog Research found 80% of consumers believe data privacy is a human right. Data security has become a critical component for long-term customer retention and loyalty. So it's vital brands behave responsibly when it comes to collecting and protecting consumer data. But many marketers have relied on third-party data for years, so the phaseout of Google's third-party cookie in 2023 will likely cause some concern. Fortunately, it doesn't have to. Let's explore the effective strategies marketers will implement to ensure they're still reaching new audiences and connecting with customers even without third-party data.
SEO is a big machine with lots of little moving parts—sometimes it can stress out the most seasoned of SEOs. So how can you make sure everything works just right? Level up your knowledge and download this free SEO audit checklist and PDF. You'll find tips and tricks on all kinds of website issues so you'll never lose track of what to do next.
When people talk about Google Analytics 4, they often compare it to its predecessor, Universal Analytics. How is GA4 better? Why should I use it? If you have similar questions in mind, this blog post is exactly what you need. In it, I will walk you through the top benefits of Google Analytics 4. But keep in mind that these Google Analytics 4 benefits are listed in no particular order. Ready? Let’s go.
“Give a child a fish, and you feed them for a day. Teach them how to fish, and you feed them for a lifetime.” This nugget of wisdom may have had a wildly different application in the past, but the adage holds incredibly well when talking about how organizations share knowledge today. Think of it as a vast body of water, where every fish is a valuable resource waiting to be pulled from the depths for the whole village to be fed. In the same way, businesses today sit on vast data lakes consisting of all their digital properties, and yet, there’s only a few villagers fishing for valuable insights that are so readily available to them. What if every villager knew how to fish?
Since Google Data Studio’s beginnings in 2016, new features and updates have been rolling out frequently to improve the platform and move the needle on data visualization. More importantly, the Data Studio team has always listened to the community and taken its feedback seriously. As a result, Data Studio has quickly become one of the most used and insightful data visualization tools out there. Unfortunately—but fortunately for those of you reading—most people only know how to use the basic features in Google Data Studio and are not aware of certain advanced capabilities that can take their data game to the next level.
After auditing and working with many Google Analytics 4 setups, I noticed that some errors occur more often than others. Some of them are the result of the unintuitive structure/interface of GA4, others might be considered a misunderstanding. To help you with that, I have picked the 10 common Google Analytics 4 mistakes. In this blog post, I will explain what they are and how to fix/avoid them.
If you are asked in a job interview ‘what languages do you speak?’ would you consider your ability to read, analyze, work and communicate with data as an answer to that question? You’d be right to. Described as the second language of business by Gartner, data literacy is tipped to be the most in-demand skill by 2030.
Whether you can call yourself a data scientist if you can't code is as hotly debated as Brexit. Type the question "Can you be a Data Scientist without coding?" into Google and you'll get a hundred different answers. The opinion will vary wildly depending on whether the author is a coder, or a non-coder. Search the job listings, and you won't find a definitive answer there either. Rather than fill the internet with yet another opinion (as I am not a coder, my opinion would be quite biased), I thought I would perform a little meta analysis. For this post, I pooled data from about sixty different sources, to uncover current thinking on what is quite a debatable topic. You won't find all sources listed below, as I have no wish…
If you've ever tried to solve a Rubix Cube, you've put your analytical skills to the test. Making the colors match up requires problem-solving, logical reasoning, and pattern recognition.
Data is changing the way we do business. The amount of information available to us as business owners and that we should be processing and using to our advantage is staggering. The amount of digital data, made and distributed, is 79 zettabytes. A zettabyte is one sextillion bytes. It’s a lot. By 2025, that number […]
See how, through several little tweaks to their conversion strategy, the team at Chromatix attracted a higher tier of customers, more inquiries, plus over $780,000 worth of new sales opportunities.
The world was rushed into a society-level digital transformation in 2020, with more people purchasing goods and services online than ever before. This has given businesses tremendous opportunities to connect to a growing online customer base. But at the very same time, we have seen sweeping restrictions around cookies and user identifiers, vital tools for today’s advertiser.
Enter Google Analytics. Google Analytics turns on your website’s metaphorical lights to reveal who’s visiting it, how they’re finding it, and what they’re doing there. You can then use this data to confidently put one foot in front of the
From sales targets to conversion rates, chances are you track a range of valuable analytics data. After all, this data allows you to create a winning marketing strategy and grow your business. The problem? It’s not always easy to make sense of the data, especially if it’s held across a bunch of different files on […]
Modeled after the EU's GDPR, China's PIPL imposes protections and restrictions on data collection and transfer that companies both inside and outside of China will need to address.
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