The Warehouse

Covid-19 had significant impact in the advancement of digital transformation. We witnessed the need for companies to be more agile and transform their traditional operating model. Post-pandemic these companies still feel a new set of pressure on the business to continue to innovate, develop a new customer experience, and improve operational efficiency while maintaining an acceptable level of output. Now more than ever, CIOs and Leadership need to collaborate and look to the unique advantages of cloud, data, and analytics as they build their digital efficiencies and IT roadmaps.

How did the Pandemic impact the manufacturing industry?

The COVID-19 pandemic has had a major impact on the manufac...

By: Jorel Digman

November 9, 2022

Data and Analytics projects can be complex and time-consuming, especially for an internal team with additional responsibilities. It requires the right technical skillset to realize your data’s full potential and see the benefits of a modern data stack built in the Snowflake Data Cloud.

Working with a Snowflake partner may be ideal when there is a lack of internal Snowflake Data Cloud expertise. A certified Snowflake partner can help you with data initiatives of all sizes and complexities whether you’re looking to deploy a data lake or data warehouse, improve existing data architecture and pipelines, or implement custom ML workflows with Snowpark.

1. Sno...

Today’s businesses continue to strive for data maturity and to create a culture that is data-driven and data-literate. But the perception remains that starting such a journey is expensive and time-consuming. There is a belief that a combination of high upstart costs and lengthy implementation time prevents the business from seeing any near-future value in its data and analytics investment. The reality, however, is that today’s cloud-based data platform technologies, specifically the triumvirate of Snowflake (data storage and compute), Matillion (data loading and transformation), and ThoughtSpot (data analytics and insight), enable rapid analytic ability with minimum initial inv...

In a previous blog post, we discussed the how an organization can foster a modern data culture that is focused, fast, flexible and fun. But building the bridge to engender that culture is easier said than done. Resistance to change is commonplace among organizations both large and small. According to a recent Gartner survey, only 20% of analytics insights will deliver business outcomes. This is not necessarily due to technical shortcomings, but rather cultural ones: lack of data literacy, siloed data processes and workflows, inadequate training, and most often, fundamental communication gaps. All of these barriers can be addressed through a systematic approach to modern data culture impl...

We have all seen how more and more companies are moving to the cloud for their data management platforms. Snowflake, Azure Synapse, AWS Redshift, and Google Big Query are leading this charge towards low-admin, instantly scalable cloud database solutions. Accompanying this is a migration to cloud-hosted data integration and low-code ETL solutions like Matillion and Fivetran. It is tempting to assume that with all these low-overhead data management platforms the concept of data modeling may be a thing of the past, relegated to the pile of on-premise databases that this brave new world is supplanting.

In reality, data modeling is more important than ever. A key to understanding this importance i...