Data · Data engineering and Snowflake
All your data in one place, ready for decision-making
We bring your organization's data sources together in a cloud data platform, Snowflake, and get it ready for the business to use: dashboards, predictive models and advanced analytics.
The challenge
You already have the data. The challenge is putting it to work
What usually holds a data project back, and how we tackle it.
Sources that don't talk to each other
Your ERP, your CRM, spreadsheets and each department's own apps, every one with its own version of the truth: there's no reliable source, and meetings turn into debates about which number is right. We consolidate and integrate those disparate sources into a single model.
Technical data, business questions
Having the data isn't enough if the business can't query it. We organize it around the people who make decisions: people management, purchasing, quality, customers.
Reports rebuilt by hand
Every month someone copies, pastes and reconciles. We automate how data is loaded and processed so your indicators update themselves.
Foundations that don't scale
What works for one report breaks by the tenth. We design data assets built to scale and evolve with each department's needs.
What we do
From source to useful data
From project management and the PMO through to implementation. Advanced analytics is the practice we've developed in the greatest depth.
Data strategy
With a business lens, not just a technical one: we work out with you which questions the data needs to answer and in what order to tackle them. Whatever pays back soonest comes first.
Data engineering and integration
ETL and ELT processes that bring in data from your ERP, your CRM, Odoo or any API, using tools such as Azure Data Factory or n8n: automated, monitored and on time.
Data platform on Snowflake
A data warehouse, a data lake or a hybrid model on Snowflake, organized in layers from raw data to business-ready data, with a data model built for your company.
Governance, quality and security
Built in from the design stage: data quality control, traceability and lineage, and access management so each person sees what's relevant to them.
Advanced analytics and machine learning
Models to predict, segment and optimize: forecasting, pricing, clustering and natural language processing.
Dashboards
KPI dashboards in Power BI, built on the model we've put together.
How we work
In stages, measuring each one
A data project has to be measurable from day one.
The business question
We start from what you need to decide and the indicators that measure it, not from the tool.
Integrate and model
We consolidate your sources in the data platform and build the model that ties them together.
Put it to work
Dashboards, dynamic reports and analytical models for each department.
Scale
Every data asset is designed to grow and evolve with each department's needs.
Case studies
Data projects
Two projects from our case studies with data at their core.
El Corte Inglés
Advanced analytics and BI with its Data, Analytics & AI team since 2020: disparate sources integrated and put to work with Snowflake, Power BI and Board.
Snowflake Power BI Board
Iberdrola España
A data model and reporting system that integrates several sources, centralizes organizational well-being data and automates its analysis.
Data model Reporting
Related
From organized data to decisions
Power BI and dashboards
Once your data is integrated, KPI dashboards in Power BI put it in the hands of decision-makers, with measures that maintain themselves and controlled access.
Train your team
At The Singular Academy: Power BI 101, on fundamentals and data modeling, and an introduction to Python covering data automation and APIs. Both in person, in Madrid, and taught in Spanish.
We train
Snowflake is a cloud data platform: it stores all of an organization's data in one place and scales computing power to match what's being queried at any given moment. Analytics tools such as Power BI connect to it directly.
Yes. On the advanced analytics and BI project with El Corte Inglés's Data, Analytics & AI team we've worked with Snowflake, Power BI and Board. You can read about it in our case studies.
No. Snowflake is one of the platforms we design data architectures on; depending on the project, we also work with Microsoft Fabric, Azure or AWS.
Yes. As well as full projects, we place data engineers in teams that already have their own architecture, processes and standards, with particular care for security, access and data governance.
With the business question and whatever delivers the fastest return: those savings help fund the stages that follow. And with measurement from the very start, so you know what works and what doesn't.
Yes, at The Singular Academy: Power BI 101, on fundamentals and data modeling, and an introduction to Python covering data automation and APIs. Both are in person, in Madrid, and taught in Spanish.
If you're an SME, basic and advanced data analytics advisory is one of the services covered by Kit Consulting, a Spanish government grant program. Its page sets out the requirements.
Contact
Shall we talk about your data?
Tell us which systems you use and what you'd like to be able to answer with their data, and we'll get back to you.