If you have just migrated your data to the cloud, you could have chosen Snowflake as your cloud storage solution. This cloud-based data warehouse has made a significant contribution to innovation by providing data and IT teams with a relational database that is effective both in terms of historicizing data and conducting data queries. You probably agree with Snowflake's recommendation and have concluded that purchasing a business intelligence (BI) tool is the best way to get the most value out of your investment in cloud data warehousing.
Do you still not understand WHY you want a Business Intelligence solution that leverages Snowflake when it is so straightforward to operate? In this essay, we will explain everything in detail for you. But wait. Is it possible to choose any kind of business intelligence tool? Are there any differences between them? Is there a possibility of negative consequences if the incorrect choice is made? It is essential that you carefully choose a business intelligence platform that can work in tandem with your Snowflake data warehouse. If you make the incorrect option, you will impede your capacity to execute analysis, bogging down your data team with endless requests, and creating bottlenecks between business users and technical teams. If you make the proper choice, executing analysis on your company's data will be quick and straightforward.
It's possible that you've encountered Snowflake's list of suitable BI tools; if so, that's a fantastic place to start looking for what you need. On the other hand, there are several additional options available to you that you may want to think about. These tools, such as Toucan analytics, are intended to take use of the entire range of possibilities offered by Snowflake without putting an excessive amount of load on your technical staff. This is in addition to the fact that they are Snowflake-compatible. What should you search for, therefore, if you require anything more than simply compatibility between your Snowflake database and your business intelligence platform?
Here is a rundown of the most useful features that we've discovered that can help you get the most out of your Snowflake data.
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Integration methods
The term “Snowflake Data Integration” refers to a method that compiles several types of data into a single, unified system that improves the efficiency of the business operations of any given firm. The goal of a data integration solution offered by Snowflake is to give organizations a centralized location from which all relevant data can be accessed, as well as assistance for the data pipelines that transport this information. In addition, the management of any company requires accessible data for its self-service reporting to have a comprehensive view of its key performance indicators and metrics, customer journeys, market prospects, and so on.
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Best Data Visualization
When it comes to qualitative reporting, data visualization is an extremely useful tool. Not only can visual components such as images help break up the monotony of lengthy stretches of text in the reports, but they also engagingly deliver the information. This not only makes the information easier for the reader to grasp but also helps them remember it. However, to be beneficial, it must be carried out correctly. When selecting a reporting tool that is compatible with Snowflake, you should pay particular attention to the design and the user experience.
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The new technical learning curve
When a business introduces a brand-new product, there is sometimes the urge to instantly increase the capacity of the sales team to capture clients as rapidly as possible. However, based on our 25 years of experience working with start-ups and the launch of new products, we've discovered that recruiting an entire sales team too quickly leads to the firm burning through cash faster than expected and falling short of revenue projections. The sales learning curve is a process that has to be completed by the whole company before it can effectively offer the product. This involves understanding how consumers will get the product and utilize it. You still need a certain amount of data literacy to be able to navigate around the Snowflake platform, even though it is well-known for being user-friendly and straightforward in its operation.
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Built-in features in BI
A customized business intelligence dashboard provides real-time data that is easily understood and pertinent to business leaders. This enables business leaders to make decisions more quickly and effectively while also reducing the amount of time it takes for the business to respond to both internal and external events. Executives want access to customized dashboards that provide regularly scheduled delivery of information summaries and key performance indicators (KPIs) that are simple to comprehend. You should be able to readily share insights with other members of your organization if you have a robust BI system.
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Live Connection data
Live Connection refers to a specific form of connection that can only be made to three distinct categories of data sources. A second copy of the data is not kept in memory by this type of connection because it does not store it. The data will be stored in the data source, and Power BI will make repeated queries to the data source to generate visuals. You will need to have the SQL Server Analysis Service installed to construct a Live Connection example. Not only will having a live data connection enable you to make better-informed business choices, but it will also ensure that you are always referring to the most up-to-date data sets. The following are the only four types of data sources that can be accessed through this kind of connection:
- Microsoft Azure's Analytical Services
- Tabular representation of SQL Server Analysis Services
- The multi-dimensional version of SQL Server Analysis Services
- Dataset from the Power BI Service
Benefits of Snowflake
With each passing day, innovative platforms along with analytics and data are getting launched in the market. In the modern era, there is a huge demand for data management tools that are used in several business sectors. Medium, small, or large enterprises hunt for a robust management platform and data storage. From now on, business organizations can store their data in a data warehouse known as a snowflake.
You must be thinking what exactly is a snowflake? A self-managed data warehouse is known as a snowflake. Any large or small business can store data that can be used in the future in the warehouse which is known as a snowflake. A snowflake data warehouse is usually built on a cloud. The role of a snowflake data warehouse is to provide the capability of storage management based on subscription. You have the leverage to store semi-structured or structured data in a SQL format.
Prime Benefits of Snowflake
- In the snowflake data warehouse, you can store sufficient data. The process of reporting tends to be more accessible and manageable for business owners when they use snowflake.
- One of the core benefits of Snowflake development is cloud storage. You can store data on the servers of the cloud which turns out to be more time-saving and cost-effective.
- With the help of the real-time data system and decentralized data system, you can expect to have high security in snowflake.
