Introduction

Google BigQuery has introduced new features that enhance data analysis, real-time processing, and integration with other tools. These improvements facilitate advanced analytics and process automation, enabling businesses to make quicker decisions.

New Features

• ScaNN (Scalable Nearest Neighbors): Enables fast searching of similar data in large datasets, useful in ML applications like recommendations and image analysis. It allows BigQuery to handle large volumes of queries efficiently.

• Continuous Queries: Supports real-time data processing, providing instant access to the latest information. This helps detect fraud quickly and supports reverse ETL, which sends data to other systems like Apache Kafka without batch processing.

• Data Insights: Offers interactive exploration, automatic summaries, and visualizations of data in BigQuery. Users can easily understand data structure and quality, identify trends, and gain insights without needing advanced technical skills.

SEO Technical SEO Website optimization

SEO Automation – My Way to Catch “Quick Wins”

29 Apr 2025 • Bartosz Wojciechowski

AI Search SEO

Understanding LLMs.txt: controlling AI search visibility in the age of LLMs

24 Apr 2025 • Joanna Jelenik

AI Search

Generative Engine Optimization: Everything You Need to Know for 2025

22 Apr 2025 • Insightland

Data-Driven News SEO

Measuring data from generative chatbots

10 Apr 2025 • Joanna Jelenik

The post New Features in BigQuery appeared first on insightland.

Introduction

GA4 brings back features we loved from GA3, offering a more comfortable and time-saving experience. These are straightforward but handy solutions that make using GA easier and help quickly find what you need.

Benchmarking: Lets you compare your business performance with industry data, conveniently showing how you stack up against competitors without needing external tools.

Plot Rows: Allows you to visualize several rows of data in reports, making quick comparisons possible with just a few clicks.

Improved Reports and Anomaly Detection: Offers more detailed session and transaction reports and automatically detects unusual patterns, helping to spot issues faster without manual data searching.

Key Event Marking: The option to easily mark key events is back, making it simpler to identify important metrics without unnecessary clicks and settings.

The post New Features in Google Analytics 4 (GA4) appeared first on insightland.

In this article, I will share with you:

• Why data-driven decisions are better for your business
• How data visualization can help in decision-making
• What are the benefits of data visualization
• What tools you can use to visualize your data.

So, let’s get into data visualization and its benefits for your business! 

Data-Driven Decisions Make Your Business Better

Data-driven is a really trendy phrase nowadays. It stands for collecting data, measuring goals, analyzing patterns and derive insights into the particular process or project in the company. Moreover, it helps in making better business decisions, like to develop a new strategy for one of the services your business provides. Or, to remove a few products from your offer because they do not drive interest and sales.

The essence of a data-driven approach lies in consistency and willingness to grow wisely. 

Thanks to it, companies can create new opportunities for themselves, optimize current actions, produce more revenue and predict future users’ behaviors and trends. Moreover, it allows your business to be more flexible. Companies that incorporate a data-driven approach usually treat information as a valuable asset and thrive better than their competition.

Data Visualization in Making Decisions – How Does It Help?

All kinds of visualizations like pictures and graphs make everything easier to comprehend. That is the reason behind creating data visualizations. They allow analysts to derive more and better insights. A great variety of information forms can complement each other in graphic form. Thanks to them we can easily identify patterns, point out the areas with potential, indicate the weakest spots, and most importantly recognize the best formulas. Your business can benefit a lot with well-created data visualizations. 

To make the most of data visualization, you need to take care of a few important aspects:

• The data must be shown with the background information that puts the graphs into context – that is how everyone will be able to understand everything easily.
• Data visualizations should present key data in a way that indicates the clear course of actions.

When data visualization includes these aspects, analysts are able to put insights into action.

Extra Benefits of Data Visualization

Above all, data visualization, beyond making better decisions, can improve many aspects of work in your organization.

1. Fast Response Times

Data visualization gives the data to the users’ allowing them to quickly identify issues and improve response or reaction times. It is a major advantage for companies that want to save time and react faster being more flexible.

2. Improved Work Simplicity 

Visualizations allow users to get the big picture and allow them to see the details at the same time. When users interact only with relevant data, their work is simplified. They are able to focus on what is important at the moment.

3. Easy Patterns Recognition

Try to find a pattern while checking hundreds of lines in an Excel spreadsheet or a few different data sets. It is just almost impossible, and it takes a lot of time! When you have a visualization of data, you can better absorb it and easily recognize new paths. As a result, you are able to identify patterns, new trends, and even predictions. 

4. Improved Collaboration Between Teams

When all of the teams at your company can see the same data visualizations that are easy to understand, they are more often on the same page regarding the insights conducted by the data. As a result, it makes collaboration between teams smoother as they are starting with the same knowledge of collected data. Therefore, they can decide on the next steps and discover solutions more quickly. 

5. Combining Data from Various Sources

And last but definitely not least, data visualization allows you to see data from various sources. It is difficult to see if your Facebook and Instagram campaigns are successful-looking only at Facebook Business Manager analytics. So if you would like to compare them with data from your CRM, Google Analytics or other sources, it is best to see them on a well-done and easy to comprehend data visualization.

Data Visualization Solutions

You know already that your business needs data visualization to make better decisions but you are not sure how to incorporate it into your company. There is a great variety of different solutions and tools you can use. Most of them are easy to access, therefore you can start using them really soon! Let’s see what solutions your business can acquire. 

Tableau Software

Tableau is an interactive data visualization software. It allows you to simplify raw data into an understandable format. You can create data visualization in the form of dashboards and worksheets. It is commonly used in the Business Intelligence Industry. Although the tool is not free of charge, it is worth the investment. Moreover, Tableau encourages you to join its community and learn even more about data visualization. You can share your visualizations online or on the server – you can choose if it is public or not. If you are not convinced, take a look at our data visualizations created with Tableau.

Microsoft Power Bi

Power BI is a business analytics service provided by Microsoft. It allows you to create interactive visualizations. What is more, it provides business intelligence capabilities with an interface simple enough for end-users to create their own reports and dashboards. Power Bi is not a free tool but it allows you to create a lot for a reasonable price.

Google Data Studio

This is a free tool provided by Google. Data Studio gives you everything you need to turn your analytics data into informational, easy to comprehend reports through data visualization. The reports are easy to read and share, customizable to each of your clients if you work with more than one company. Moreover, you can choose how you want to showcase the data – bar graphs, charts, line graphs, etc. You are able to change fonts and colors and brand the reports with the logo. It is one of the most common tools analysts work with nowadays. In addition, if you want to know more about Data Studio, check out my blog posts on this tool.

Qlik

Qlik is a business intelligence and visual analytics platform you can try for free. It is an interactive data visualization tool that enables users to import and aggregate data from different data sources. They can further use the data visualization tools of the software to shape raw data into meaningful information. The two main products QlikView and Qlik Sense serve different purposes running on the same engine. In QlikView, the users pursue their day-to-day tasks, analyzing data with a slightly configurable dashboard, most of the data is somehow “pre-canned”. On the other hand, Qlik Sense allows associating different data sources and fully configuring the visualizations, allowing to follow an individual discovery path through the data. The company’s official definition is “QlikView is for guided analytics; Qlik Sense is for self-service visualizations”. 

D3.js

If you want to have full control of your data visualization or your application, d3.js is a perfect choice. It is the best data visualization library. D3.js runs on JavaScript and uses HTML, CSS, and SVG. It is an open-source and applies a data-driven transformation to a webpage and allows you to create quickly beautiful visualizations. D3.js combines powerful visualization and interaction techniques with a data-driven approach to DOM manipulation. Therefore, it gives you the full capabilities of modern browsers and the freedom to design the right visual interface for your data. It also provides great features for interactions and animations.

Python as a Data Visualization Tool

Python is a programming language commonly used by data analysts. You can create with it amazing data visualizations. What is more, it is designed with features to facilitate data analysis and visualization. This programming language offers multiple great graphing libraries that come packed with lots of different features. No matter if you want to create interactive, live or highly customized plots, Python has an excellent solution for you and your business.

To get a little overview, take a look at a few popular plotting libraries:

• Matplotlib – it provides lots of freedom;
• Pandas Visualization – it has easy to use interface, built on Matplotlib;
• Seaborn – it has a high-level interface and has great default styles;
• Ggplot – it is based on R’s ggplot2 and uses Grammar of Graphics;
• Plotly – using it you are able to create interactive plots.

Incorporate Smart Data-Driven Approach to Your Company

Data visualization enhances analytical thinking, deriving insights and making quick data-driven decisions. It is just a wise way to improve a lot of aspects of your business so it can thrive better. Data visualization is essential nowadays. Especially, if you operate in a highly competitive market or industry. If you are not sure about it yourself, seek for the analytical partner that can introduce you to data visualization. Just do not neglect the power of data visualization and its benefits! 

The post How Data Visualization Leads to Making Better Business Decisions appeared first on insightland.

These platforms are undisputed leaders that give the user excellent data processing capabilities and create unique dashboards.

However, can their position be threatened by Data Studio created by Google? We have three arguments supporting this thesis that can convince you.

Started at the bottom, now we’re here.

Data Studio has been on the market for several years, and we have been observing its development from the very beginning.

Starting from the most straightforward charts and a small number of connectors, to the possibility of blending data from many sources, visualizations, and connectors created by external suppliers, calculated fields allowing for more and more advanced calculations, to the latest addition in the form of parameters.

Data Studio is becoming an increasingly powerful tool, which, in several cases, has a significant advantage over other data visualization solutions.

#1 – It’s free

The simplest advantage – the price, or exactly the lack of it. Although Tableau has a free public version, and Power BI can be used without paying for the desktop version, Data Studio stays free without almost any restrictions.

You only need to pay when you use connectors that are provided by third-party sites. In any other scenario, you don’t need to take a credit card out of our wallet.

This is a massive advantage of the tool created by Google – other platforms can cost a lot.

Here in Hexe Data, we believe that the paid version of Data Studio will arise in the future. Of course, no one is talking about it yet, but such a development may seem logical.

When we look at what happened with Google Analytics and creating its paid version for users with more significant needs and more data, such expansion of Data Studio could occur.

Additional functions and faster data processing could appear for an additional fee. It would be a natural step for Google to become more competitive with other data visualization tools.

#2 – It’s Google

The second reasonably obvious argument that makes Data Studio beat the rest of the visualization tools is its mother brand – Google.

If your company mainly uses the tools of this provider, you have nothing to think about. The choice is simple. Google Analytics, Google Sheets, Google Surveys, Google Ad Manager, Google Ads, Google Cloud Storage, Google Search Console…

It’s easy to find their common factor, right? Therefore, no other program will provide the same data connectivity from these sources as Google Data Studio.

This is especially true when you use data from Google Analytics. Other platforms extract data using the API and are therefore limited in the number of dimensions and metrics you can use at once.

Data Studio provides unlimited integration with Google Analytics, including the ability to sync the segments you have created in your web analytics tool panel view.

#3 – It’s simple

Using Tableau or Power BI, we can create mind-blowing reports. Stunning charts, the ability to add custom elements, perform complex calculations, animations, and give the recipient of our report the ability to explore data by clicking on various places and filters in the dashboard.

But, all these fantastic features of advanced tools often remain useless. Even when creating the most complex dashboards, we most often use standard bar charts, line charts, or scorecards.

Data Studio is intuitive. It does not require any complicated implementation or involvement of the IT department.

Leonardo da Vinci was probably right when he said that simplicity is the ultimate sophistication. After all, data visualization aims to show information and numbers in a way that is easier to understand.

Sometimes the most straightforward solutions are simply the best.

David vs. Goliath

So is it possible for Data Studio to beat tools like Tableau or Power BI? Does simplicity have a chance to win over complexity?

At first glance, it might seem that the Google tool will be crushed like a little ant. This tool is currently not adapted to work with large data sets.

There is no desktop version, sometimes it processes data for a long time, after applying a filter at the view level, sometimes we have to wait even a few minutes to see the changed statistics.

But, if we look at the three incredibly important arguments we wrote about earlier, we can imagine a situation when Data Studio is announced the winner. We will follow this fight in the future.

Photo by Markus Winkler on Unsplash

The post Can Data Studio beat Tableau or Power BI? appeared first on insightland.