While migrating to Snowflake presents several challenges for IT leaders and CIOs in the retail sector, these hurdles can be overcome.

We dive into the top three reasons why your aging data warehouse might be struggling to keep pace with your organisation's evolving demands.

When it comes to customer relationships, businesses are constantly seeking new strategies to foster authentic client engagements.

EPSA, working with Pivot Analytics successfully migrated from their SQL Server-based reporting solution to Snowflake in just 6 weeks.

With the shear volume of sales and transaction level data Endeavour Group’s existing solution was not coping and data was being aggregated.

Streamlit within Snowflake provides the perfect solution. What sets this solution apart is its unique hosting within Snowflake.

The SharkSmart program's adoption of Snowflake dramatically improved data resilience and streamlined administration and resource efficiency.

When the time comes to make the leap to the cloud, you're met with a multitude of pathways to navigate.

In this article, we'll explore the reasons why partnering with a SaaS intermediary can be a game-changer for organisations.

“How can I continue to view my analytics history once Universal Analytics is removed?” There are 3 steps to providing historic UA reports.

Migrating to a modern cloud-based data warehousing solution is a significant one. It promises enhanced performance, scalability and agility.

The first step in unlocking the power of Snowflake is to load and combine your data from your existing source systems.

We know a lot of businesses are using Excel as a data warehouse, and lots of those businesses know that it is a problem.

SaaS applications have become core elements of almost every business. The problem is now, how do you get the data out of these SaaS silos?

We recently worked on a data engineering project to extract data from Infor M3, transform and load the data into a SnowFlake Data Warehouse.

Tableau and Power BI are powerful visualisation and analytics tools. However, they experience performance issues with large volumes of data.

The tools that most businesses use were not developed for the typical business user, like you. They were developed for a data analyst.

Using tools that struggle to cope with the volume, and your needs, is costing your business money and market share.

A couple of days ago I was at Bed, Bath and Table. Maybe I should explain that it was just after Easter and my partner loves holiday...

Retail analytics is the process of collecting, organising, and analysing data from various sources within a retail business to inform...