CrunchBase provides data about mergers and acquisitions of companies/firms in the data and analytics space. CrunchBase data can be very useful when building a list of Leads for Business to Business (B2B) Marketing to target specific companies while looking out for similar companies in that niche.
It can also come in handy during explorative analysis. Although CrunchBase does the work when used independently, it is highly recommended to use it with Snowflake.
This article will introduce you to CrunchBase and will provide you with a step-by-step comprehensive guide to setting up CrunchBase Snowflake Integration. It will also provide you with how to use CrunchBase’s data to your advantage and the best use cases of CrunchBase Snowflake Integration.
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What is CrunchBase?
CrunchBase is a leading provider of private-company prospecting and researching solutions. It simply provides information about a Lead (for B2B) to the company/organization/users. These firmographics coupled with your internal data will help you make more informed/data-driven decisions and target gain points.
What is Snowflake?
Snowflake is a Cloud Data Warehouse service that is built on AWS or Azure infrastructure and provides an unlimited platform for storing and retrieving data. Snowflake’s design splits its “Compute” and “Storage” components, which scale differently and let clients utilize and pay for each separately.
Snowflake requires no hardware or software to select, install, configure, or administer, making it suitable for enterprises that do not want to devote resources to in-house server setup, maintenance, or support.
CrunchBase Snowflake Integration
Now that you have a basic grasp of both technologies let’s try to understand the procedure to set up Crunchbase Snowflake Integration. Below are the prerequisites & the Use Cases for Crunchbase Snowflake Integration followed by a step-by-step guide to set up Crunchbase Snowflake Integration.
Prerequisites
Listed below are the prerequisites for setting up CrunchBase Snowflake Integration:
- A Snowflake account.
- A general understanding of what Snowflake is as a Data Warehouse.
Steps to Set Up CrunchBase Snowflake Integration
Listed below are the steps to set up CrunchBase Snowflake Integration:
Step 1: Log In to your Snowflake Account
Go to your Snowflake account. If you don’t have one already, click here to create a new account as shown in the image below.
The Standard plan is just okay to handle quite a lot of things, but if you need something more dynamic, the enterprise plan allows you to dig into data as far back as 90 days and mask your data dynamically in a Multi-Cluster Warehouse.
Step 2: Find the CrunchBase Listing from the Data Marketplace
Follow the steps below to find the CrunchBase Listing from the Snowflake Data Marketplace:
- Click “Data Marketplace” from the top menu. This will redirect you to a new page.
- Under the “Categories” section on your left, click on “Business”.
- Search for “CrunchBase Enterprise: Company & Funding Data” as shown in the image below.
Step 3: Request Access for CrunchBase Listing
After selecting “CrunchBase Enterprise: Company & Funding Data”, you will be redirected to a new page where you can find all the details of this particular listing in Snowflake Data Marketplace. Click on the “Request” button in the top right corner as shown in the image below. This will request access to the premium dataset. Once your request is approved, you’re good to go.
That’s it. You can successfully set up CrunchBase Snowflake Integration. This gives you access to your CrunchBase data. Now, you can relate your Snowflake data to it and make Data-Driven business decisions.
Note: Another way to set up CrunchBase Snowflake Integration is using Nodejs (a JavaScript Runtime Environment). This is done programmatically and is not as straightforward as the above steps. It is a more developer-friendly approach as it uses the Snowflake SDK and CrunchBase API to perform asynchronous processes.
CrunchBase Snowflake Integration: Use Cases
Listed below are the use cases of CrunchBase Snowflake Integration:
- Analysis of Company Firmographics: With CrunchBase data inside Snowflake, you can dig deeper into your analysis. You can go as far as finding gender-specific members of a firm.
This data query can be done with SQL which can help you track data and narrow them down to trends. The visualization tools provided by Snowflake can be used to convert the numeric output into a graphical view for better insight.
- Connection of Data to Snowflake: Snowflake allows you to connect your Snowflake data and perform Explorative Analysis with the tools available all without losing on any end. With your CrunchBase data intact and your Snowflake data for references, you have a poll of data to dissect and deduce inferences from.
Conclusion
This article provided an in-depth introduction to CrunchBase and walked through a comprehensive guide for setting up the CrunchBase Snowflake Integration. It explained various use cases for connecting Snowflake with CrunchBase, enabling you to seamlessly load CrunchBase data into Snowflake and perform queries with your favorite BI tools. By utilizing SQL queries, you can extract crucial insights about startup activities, funding rounds, mergers, and acquisitions. This integration empowers you to gain valuable, data-driven insights for making informed business decisions.
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Frequently Asked Questions
1. Why is Snowflake so overvalued?
Snowflake has been considered overvalued by some due to its high market valuation relative to its revenue and earnings.
2. Who is the main investor in Snowflake?
Warren Buffett’s Berkshire Hathaway and Salesforce Ventures were notable investors in Snowflake during its IPO.
3. Is Snowflake making money?
Snowflake is generating significant revenue, but consistent profitability is still a future goal.
Teniola Fatunmbi is a full-stack software engineer with a keen focus on data analytics. He excels in creating content that bridges the gap between technical complexity and practical application. Teniola's strong analytical skills and exceptional communication abilities enable him to effectively collaborate with non-technical stakeholders to deliver valuable, data-driven insights.
