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Download the full case study HERE. Tipalti, a global finance automation leader, adopted Seemore Data to optimize costs and enhance data observability. While cost was the initial hook, Seemore quickly proved invaluable for data lineage, quality control, and process tr...

Snowflake has become a cornerstone of modern data warehousing with its ability to scale dynamically and handle massive datasets with ease. However, the flexibility and power of Snowflake come with the responsibility of optimizing queries to ensure performance and cost-e...

Download the full case study HERE. When scaling at lightning speed, data complexity becomes a major roadblock. Verbit, a leading AI transcription and captioning company and global provider of AI verbal intelligence, knows this firsthand. After acquiring seven compani...

Data engineers are passionate about creating new pipelines, developing cutting-edge solutions, and solving tough data challenges. But let’s be honest, maintenance is another story. It’s the repetitive, time-consuming upkeep of systems that, often, no longer serve a purp...

Download the full case study HERE. Splitit, a global fintech innovator, turned to Seemore Data to gain control over its Snowflake costs and maintain continuous optimization. While cost reduction was the initial driver, Seemore quickly proved essential for sustaining ...

As data costs balloon every quarter, achieving a high return on data investment is critical. Data volumes grow, costs soar, and many organizations struggle with fragmented systems and operational inefficiencies.  In this on-demand webinar, you’ll hear how Artlist’s j...

It seems that everyone in the data industry is talking about Data Trust as essential for effectively developing AI and analytics products. We all understand that poor or inaccurate data leads to poor or inaccurate analytics and AI models. So, let's get to work monitorin...

In today's intricate and interconnected business world, data has become a vital asset that fuels decision-making, innovation, and operational efficiency. This surge in data demand within companies has, however, led to rising costs. And as all data leaders know, with hig...