The Benefits of Using BigQuery for Google Analytics Data
Is there any advantage of using BigQuery with Google Analytics? Well, there are plenty of advantages to using BigQuery with Google Analytics.
In this article, you are going to learn everything about that. So, what are the advantages of using BigQuery with Google Analytics?
Google Analytics and BigQuery
Before getting started with the main topic, it is always better to have some sort of understanding of Google Analytics and BigQuery. So, this section will be all about that. Besides, this might help many of those who started their career in data analytics.
What Is Google Analytics?
Google Analytics can provide basic and statistics data tools for search engine optimization (SEO). These tools are excellent for marketing purposes. Simply, it lets you track the progress of your online business.
What Is BigQuery?
For storing and querying large data sets, BigQuery is the most popular option. In other words, BigQuery is a data warehouse, and it is one of the top-rated ones too.
Tip: Even though Google Analytics is great, integrating it with BigQuery makes the data analytics process much easier.
Is it Possible to Combine BigQuery with Google Analytics?
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Yes, indeed, you can combine BigQuery with Google Analytics with no issue. In truth, Google Data Analytics has easy and native integration with BigQuery. And here are a few simple steps to integrate BigQuery with Google Analytics.
- Sign into your Google Analytics account.
- Navigate to the Analytics 360 property.
- Go to the “PROPERTY” column and choose All Products.
- Click on the “Link BigQuery” option.
- Provide your BigQuery ID or project number.
- Select the link you want to view.
What Are the Advantages of Using BigQuery with Google Analytics
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If you read the article up until now, you now know three things; about Google Analytics, BigQuery, and how to link them. So, now it’s time to discuss the advantages of using BigQuery with Google Analytics.
Ability to integrate Data from Different Sources
When you connect Google Analytics BigQuery, you can export data from various sources, such as CRM data. This is one of the main advantages of using BigQuery, and it opens a complete set of options for you. And you might not be able to use those sources just by using only Google Analytics. You can export data such as product usage statistics and advertising and marketing costs. Remember, this puts your business in an excellent position when it comes to Google Analytics. And with better analytics, you have the chance to improve your business.
Better Understanding of Your Data
After you begin to use BigQuery, you can understand Google Analytics Data much better. For instance, you’ll be able to easily sort out the hit-level data and session-based web reports. So, you’ll be able to take advantage of this clear sorting-out process remarkably.
Tip: You can view all your reports in your dashboard if you use Google Analytics Dashboard Templates. But do some proper research before using Google Analytics Dashboard Templates.
Improved Report Speed
If you are looking for answers for what are the advantages of using BigQuery with Google Analytics, this advantage might be the best one. Using BigQuery with Google Analytics indeed improves the reporting speed. For instance, BigQuery can scan billions of raw data in just a few seconds. And it is highly accurate too. So, without a doubt, BigQuery will improve your reporting speed.
Important: BigQuery runs on a fast cloud-based infrastructure. So, it can scan and release a large amount of data in a matter of seconds.
BigQuery might be the best option if you are looking for a cost-effective data analytic solution. It is a pay as you go type of platform, and this helps business owners remarkably.
Things You Should Know About BigQuery Pricing
Having a good knowledge of BigQuery pricing is necessary, especially if you have a day-to-day online business. There are two main components for Big Query pricing.
- Analysis pricing
- Storage pricing
This pricing includes things such as SQL queries, process queries, DATA definition language (DDL), data manipulation language (DML), and user-defined functions.
This pricing focuses on the storage amount; as mentioned earlier, you can pay as you go. For instance, you can choose on-demand pricing or a flat rate pricing package.
In this plan the first 1TB of query data is free. After that, each 1TB will cost you $5. And you can change the number of bytes for each query.
Flat Rate Pricing
If you want to purchase data slots, this pricing model is the perfect one. You can purchase Flex slots, Monthly or Annually.
Some more Advantages You Should Know About Using BigQuery with Google Analytics?
For those who need answers for what are the advantages of using BigQuery with Google Analytics, here are the advantages.
- BigQuery can combine data from Google Ads and Facebook Ads services. So, your Google Data Analytics will become more powerful than ever.
- Using BigQuery helps you fix all integrated issues. Sometimes, you won’t be able to fix them just by using Google Analytics.
- Users can access raw hit-level data that cannot be accessed using Google Analytics.
- Data manipulation is much easier than Google Analytics.
With these types of advantages, using BigQuery with Google Analytics seems like a good idea. Right? That is why more businesses use these tools together.
Can the Use of BigQuery Affect Marketing and Sales?
For any business, marketing is the key. Without proper marketing, your business will be a tireless vehicle. When you use BigQuery, you can track all the customer and non-customer data accordingly. And tracking these sorts of data will help improve your marketing and sales.
If you were looking for answers for what are the advantages of using BigQuery with Google Analytics questions, now you know all the advantages. So, if you haven’t used these tools together, it is time to change that and make your business grow even more.