Resources
Everything in one place.
Viewnear's resources collect two kinds of proof: case studies from real engagements, and field notes written by the people who ran them. Both cover standing up governed data and AI on Snowflake.
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One engagement, one field note
A real case study and a recent post from the team, the fastest way to see how we work.
From hand-sorted documents to 95% accurate claims classification in seconds
A claims processing company was sorting documents from many insurance providers by hand, causing delays, errors, and lost files. Using Snowflake Cortex AI functions like AI_EXTRACT, Viewnear automated classification and data extraction, lifting accuracy from 60% to 95% and cutting per-document handling to four seconds.
A claims processing company
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Nearshore vs Offshore for Snowflake Delivery: How to Decide
The nearshore-versus-offshore decision usually starts with hourly rates. It should start with clocks. Snowflake and AI work is iterative and decision-dense, which is exactly the kind of work where time-zone overlap beats a lower rate. A framework for deciding which model fits your project.
Eduardo Javier RamosJuly 16, 2026Proof
Case studies
Real-time insight into 20,000+ students across campuses, live in seven weeks
A group of universities serving 20,000+ students across Miami and Latin America had academic records and LMS learning events siloed across campuses. Viewnear built a governed, real-time student data pipeline on Snowflake: a governed environment, native Anthology Illuminate Developer integration, and real-time Caliper event streaming, unifying academic and learning-activity data into one governed source.
A multi-campus university group
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One trusted golden record across eight business domains
A commercial-vehicle dealer group ran sales, service, parts, and the back office on separate systems, with no single version of a customer, vehicle, part, or supplier. Viewnear is building a corporate master data foundation on Snowflake, released domain by domain: a progressive multi-source golden record across eight business domains, using a Medallion architecture, Openflow ingestion, dbt transformations, and per-domain Snowflake CoWork agents.
A commercial-vehicle dealer group
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Reining in thousands of runaway SKUs to restore accurate product costs
A corrugated packaging manufacturer's product catalog exploded into thousands of SKUs and variants with no product architecture, distorting costs and slowing production. Viewnear designed a governed Snowflake foundation: a Medallion warehouse from SAP Business One via Openflow, master-data and SKU governance rules, a Standard SKU catalog, What-if simulation, and a Snowflake CoWork catalog agent over governed Semantic Views.
A corrugated packaging manufacturer
Read moreField notes
Blog
What a Snowflake Migration Actually Costs (And What Drives the Number)
Anyone who quotes a firm migration price before seeing your environment is guessing. But the cost is not unknowable: it is the sum of a few clear drivers, from the source system to the pipeline count to governance. Here is what moves the number, and how to bring it down.
Eduardo Javier RamosJuly 15, 2026
How to Choose a Snowflake Partner: A Buyer's Checklist
Certifications are the floor, not the answer. The traits that separate a good Snowflake partner from a painful one rarely make the pitch deck: who builds with your team, who stays accountable after go-live, and who prices to finish rather than to bill. A practical checklist to take into every conversation.
Eduardo Javier RamosJuly 14, 2026
Snowflake Is Now the Control Plane for the Agentic Enterprise
Snowflake began as a data platform, but the rise of agentic AI demands a governed control plane that unifies trusted data, business context, model choice, security, and workflows. This piece explains why Snowflake is positioning itself as that operating layer for the agentic enterprise.
Eduardo Javier RamosJune 13, 2026Let's stand up a lasting data & AI practice.
Tell us where the organization stands (migrating, scaling, or shipping AI) and we'll map the fastest path to use cases in production, run by in-house teams.