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Dataanalytics

Your data already contains the answers you need. The problem isn't a lack of data, it's a lack of a suitable platform to extract value from it. Google Cloud offers the fastest, most scalable analytics infrastructure on the market, and we'll deploy it for you.

~60%lower costs compared to on-premises data warehouses

Secondsfor queries of petabytes of data

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The problem we are solving

Most companies have data scattered across dozens of systems: CRM, ERP, spreadsheets, legacy databases. It takes days to compile a reliable report. Making a decision based on real data is nearly impossible.

Before

Fragmented data, manually created Excel reports, weeks-long answers to business questions, decisions based on intuition.

After (with ArgentoCloud)

Centralized data in BigQuery data warehouse, real-time dashboards on the Looker platform, answers in seconds, data-driven decisions.

Our five-pillar framework

We don't sell you individual tools - we guide you through the entire data journey using a proven framework:

Data strategy

We define what data you need, where it lives, and how it needs to move. We create a clear roadmap: what to migrate first, which metrics are important, and how to measure return on investment (ROI).

Fundamentals: Modern Data Warehouse

We deploy BigQuery as your central data warehouse: serverless, no infrastructure management required, and capable of querying petabytes in seconds. We connect all your data sources using automated data flows (Dataflow, Pub/Sub).

Visualization and Business Analytics (BI) with the Looker platform

Interactive dashboards that update in real time. Self-service reports that allow each department to access their metrics without depending on the IT department. Automatic notifications in case of deviations.

Artificial Intelligence and Applied Machine Learning

Predictive models with Vertex AI directly on your BigQuery data. Forecast demand, identify anomalies, segment customers - without the need to hire data scientists.

Data management and ongoing support

Change management, team training, data management, and managed support so the platform grows with your business.

Use cases by industry

This is not theory – these are real scenarios that we implement for our clients:

Retail / e-commerce

Demand and inventory forecasting

BigQuery ML for demand forecasting by SKU and season. Reduce inventory shortages and overstocks using models trained on historical sales data.

Financial services

Real-time fraud detection

Stream analytics (Pub/Sub + Dataflow) to detect suspicious transactions in milliseconds. Anomaly detection models using Vertex AI .

Marketing

Multi-channel attribution and ROI

Consolidation of Google Ads platform, CRM and web analytics data into BigQuery data warehouse. Looker platform dashboards to track actual ROI across channels, campaigns and segments.

Operations / Logistics

Route optimization and efficiency

Analysis of fleet data, delivery times and operating costs. Operational dashboards that display performance indicators (KPIs) in real time.

Why BigQuery and not another solution?

BigQuery

Serverless, no infrastructure to manage. Pay per query. Scales to petabytes without configuration. Integrated machine learning.

Redshift ( AWS )

Requires cluster management. Manual scaling. Separate storage costs.

On-premise

Expensive hardware, licenses, maintenance. Scaling takes weeks. High fixed costs.

Technologies we deploy

BigQuery Looker Dataflow Vertex AI Dataproc Pub/Sub Cloud Storage BigQuery ML Dataplex

Frequently asked questions

An MVP built on BigQuery and Looker platforms can be completed in 4-6 weeks. More complex projects involving multiple data sources and machine learning can take 2-3 months.

Not necessarily. We design and implement the platform, and we also provide managed data services to manage it. We train your team to gradually become more independent.

Yes. BigQuery connects to Salesforce , SAP, MySQL, PostgreSQL , Oracle, REST API , CSV and JSON files, and virtually any other data source you have.

BigQuery is a serverless service that is paid for on a per-use basis: $6.25 per terabyte (TB) of query processing (on-demand) or a flat fee with reserved resources (slots) for intensive usage. The first terabyte of queries per month is free. Data storage costs $0.02 per gigabyte per month.

Are you ready to make data-driven decisions?

We will assess your data maturity for free and propose a specific action plan.

Start here

Punasel toolil istuv naine kasutab sülearvutit suure ekraani ees, millel kuvatakse tulpdiagramme, sektordiagramme ja liugureid; tema kõrval on megafon ning noolega märklaua ikoon.

Explore our suite of capabilities

To help you become a data-driven organization, ArgentoCloud guides you through your data journey using a framework based on five essential pillars:

Define your data strategy with the support of experts and with a vision, action plan and processes.

Create the foundations using a standardized methodology based on cloud and data architecture.

Create a strategy, using key data solutions such as business analytics, Looker, Vertex AI , machine learning and artificial intelligence.

Support the new data strategy With ArgentoCloud managed data services.

Support the entire project change management, project management, and cloud and data management.

Looker

Create reports and interactive dashboards With the Looker platform's online reporting tools
(formerly Google Data Studio).

Do you want to know more?

Start here

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