DataLakeHouse Blog
Drive Business Value with Snowflake Usage Analytics: A How-To Guide
In today’s data-driven world, it is crucial for businesses to analyze their data to gain valuable insights that can drive business decisions. Many companies have
Optimization Strategies for Snowflake Usage: A Comprehensive Guide
Snowflake is a powerful cloud-based data warehouse that allows organizations to store and analyze large amounts of data. However, optimizing usage and properly allocating spending
Track and Manage Snowflake Usage with Analytics
Organizations can efficiently manage and analyze large amounts of data with cloud-based data warehousing solutions like Snowflake. However, data management can be extremely inefficient when
5 Best Practices for Snowflake Management and Optimization
As businesses increasingly rely on cloud-based data warehousing solutions, the demand for cost-efficient and scalable platforms has skyrocketed. Snowflake, a cloud-based data warehousing platform, has
Effectively Allocate Budget and Optimize Snowflake Usage with These Strategies
As more and more companies turn to cloud-based data warehousing solutions like Snowflake, the needs for cost and usage optimization become increasingly important. Snowflake is
Snowflake Usage Analytics: The Ultimate Guide
As data volume and complexity continue to grow, cloud data warehousing has become a popular solution for organizations to store, manage, and analyze their data.
Snowflake Usage Analytics: The Key to Efficient Data Warehousing
Data warehousing has become an essential component of modern-day business operations. With the increasing volume of data being generated every day, organizations need to be
Maximizing Data Insights with Ceridian Dayforce and Snowflake Integration
In today’s fast-paced business world, organizations must leverage their data to gain insights and make data-driven decisions. However, managing data can be a complex task,
What You Need to Know About the Ceridian Dayforce and Snowflake Integration
In today’s digital age, businesses are increasingly relying on integrated software solutions to streamline their operations and increase productivity. One such integration that has gained
With so many different income streams, today’s restaurants have several different kinds of financial data to manage. Providing catering services, managing table reservations, or even running a food truck in addition to their dine-in business, makes it difficult to get a handle on all the different aspects of their operations.
Finance and accounting departments have lots of different data to manage—vendors, employees, customers, transactions, and investments, to name a few. This data often exists in different formats and silos, making it difficult and time-consuming to get a holistic view of the organization’s financial picture. And at the enterprise scale, this problem is magnified.
Think about some of the most common data visualizations you see in newspapers:
- Graphs showing a country’s GDP growth
- Stock market trends
- Charts that capture business performance year-to-date
- Rates of inflation
While most of these mean different things, they’re all the same at their core—they are all based on time series data.
In today’s consumer market, retail stores benefit from making data-driven decisions. Gone are the days of relying on intuition for marketing, understanding consumer behavior, determining inventory decisions, and more. Instead, we’ve seen a rise in an area known as retail analytics. The goal of this post is to provide an overview of retail analytics, common use cases, and how this can be used to improve a company’s ROI. Read more here.
It’s common to find applications of machine learning in a variety of business areas, such as marketing, operations, automation, security, financial management, and more. The goal of this article is to review 12 companies that are using machine learning to make a difference in their industry.
Organizations are turning to the cloud to handle increased data volume, velocity, and variety. Cloud data warehouses (CDWs) like Snowflake provide the flexibility and scalability necessary to support a modern data strategy.
And to bring all of their disparate information to a single source of truth, organizations rely primarily on two approaches: extract, transform, load (ETL) and extract, load, transform (ELT).
But before we dive into ETL vs. ELT in Snowflake, let’s clearly define each process.
In this article, we will introduce the concept of people analytics and how HR and data professionals can leverage their knowledge and skills to make data-driven decisions.
The following list presents three easy ways to get e started with HR analytics: Read the article here.
In this article, we’ll give you a quick overview of categorical data, how to visualize it using the most popular methods, and the best tools your business can use to visualize this data. Read the full article here.
