Grow your business with Dot Analytics DWH consulting
We don’t just understand data, we understand your industry
Our expertise in key industries allows us to deliver solutions that align perfectly with industry standards.
Services Overview
Our Data Warehouse Consulting Services
We help businesses aggregate, store, and analyze data from diverse sources, handling large volumes of historical data. Our designed custom data warehouses give quick, real-time access to the key metrics you need.
Here’s what we do
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Cloud Data Warehouse Selection
✔ We guide you in selecting and integrating leading cloud platforms that align with your business objectives.
✔ We are experts in Google BigQuery, AWS, Microsoft Azure.
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Enterprise Data Lakes Integration
✔ We set up data lakes that seamlessly integrate with your data warehouse, enabling advanced analytics and comprehensive data storage for both structured and unstructured data.
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End-to-End Data Warehousing
✔ We cover all aspects of data warehousing, from initial assessment to deployment and optimization as we specialize in data modeling, ETL processes, data quality management, BI tools implementation.
Get your data properly organized
to make accurate predictions
How it works
Our Data Warehouse Development Process
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1
Strategic Alignment
✔ Estimated time: 5 days
✔ We identify business goals – such as improving customer segmentation, optimizing operations, discovering patterns leading to customer churn, etc. – to determine what data needs to be collected and analyzed.
✔ Every project begins with an NDA to guarantee data confidentiality.
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2
data model design
✔ Estimated time: ~3 weeks.
✔ We choose appropriate data model, design DWH structure and select specific DWH platform, based on your requirements.
✔ Then, we establish an ETL (Extract, Transform, Load) process to collect, clean, load data from multiple sources into DWH, converting raw data into a structured and stored in a centralized location.
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3
Integration+Testing
✔ Estimated time: ~1 week.
✔ Once finalized, we deploy DWH and ensure its integration with reporting tools, test data consistency and queries performance – now you have real-time analytics for your business needs.
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4
Deploy+Support
✔ Estimated time: up to 1 week.
✔ We provide post-deployment support through either team training or ongoing support via subscription (monthly). Whether you continue with us or manage you data independently, we ensure a smooth transition for further success.
Case Studies
Success Stories in Data Warehouse Consulting
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iGaming
GRP.co
Project Outcomes
Optimized GRP.co’s marketing efforts, leading to a 25% reduction in CAC (customer acquisition costs) and enhanced data management through advanced tracking and AI-driven solutions.
Reduction in СAC (Customer Acquisition Costs)
– 0 % CACUsed Technology
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Voluum
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Looker Studio
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Google Analytics 4
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Google Tag Manager
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Python
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dbt
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Cloud Run
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Vertex AI
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E-commerce
uWeed
Project Outcomes
Helped uWeed enhance data tracking and evaluate marketing campaigns effectiveness, providing recommendations that led to a 32% increase in CR (Conversion Rates) and a 17% boost in repeat purchases.
Increase in CR (Conversion Rates)
+ 0 % CRUsed Technology
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Google Analytics 4
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Google Tag Manager
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BigQuery
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Looker Studio
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Python
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Cloud Run
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Virtual Machine
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Betting
GAST
Project Outcomes
Developed a ‘deal evaluation calculator’ integrated into GAST platform, combining ML model insights with social media analytics data (API integrations, Socialblade, Tgstat, Telemetr). This solution let GAST assess deal profitability directly within their platform and reduced unprofitable deal closures by 40%.
Increased profit due to deal prioritization
+ 0 % profitUsed Technology
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Python
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PostgreSQL
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Google Sheets
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Colab Enterprise
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PHP
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Angular JS
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iGaming
GRP.co
Project Outcomes
Optimized GRP.co’s marketing efforts, leading to a 25% reduction in CAC (customer acquisition costs) and enhanced data management through advanced tracking and AI-driven solutions.
Reduction in СAC (Customer Acquisition Costs)
Used Technology
-
Voluum
-
Looker Studio
-
Google Analytics 4
-
Google Tag Manager
-
Python
-
dbt
-
Cloud Run
-
Vertex AI
E-commerce
uWeed
Project Outcomes
Helped uWeed enhance data tracking and evaluate marketing campaigns effectiveness, providing recommendations that led to a 32% increase in CR (Conversion Rates) and a 17% boost in repeat purchases.
Increase in CR (Conversion Rates)
Used Technology
-
Google Analytics 4
-
Google Tag Manager
-
BigQuery
-
Looker Studio
-
Python
-
Cloud Run
-
Virtual Machine
Betting
GAST
Project Outcomes
Developed a ‘deal evaluation calculator’ integrated into GAST platform, combining ML model insights with social media analytics data (API integrations, Socialblade, Tgstat, Telemetr). This solution let GAST assess deal profitability directly within their platform and reduced unprofitable deal closures by 40%.
Increased profit due to deal prioritization
Used Technology
-
Python
-
PostgreSQL
-
Google Sheets
-
Colab Enterprise
-
PHP
-
Angular JS
Turn Big Data into Revenue with
our Data Warehousing Solutions
meet dot analytics data warehouse experts
Our Data Warehouse Consultants
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Ihor Syzon
Data Solutions Architect
Has 10+ years of experience in data engineering and analytics consultancy.
Ihor is a pro in architecting scalable data systems capable of managing massive databases. He builds the bridge between business objectives and technical execution, ensuring effective solutions implementation.
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Vlad Halstyan
Data Engineering Lead/DWH Architect
Expert in designing scalable, secure systems to consolidate and optimize data.
Vlad excels in designing and overseeing end-to-end implementation of DWH systems, ensuring scalability, efficiency and seamless data integration. Execute hands-on tasks such as data modeling, ETL pipeline development, and integration of disparate data sources.
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Ihor Bybka
Data Engineer
Specializes in building data pipelines, optimizing data workflows, and ensuring smooth integration across diverse systems.
With a sharp focus on precise data integration and management, Ihor implements data warehousing frameworks that simplify data management and enhance analytics, helping clients be confident in their decisions.
Ihor Syzon
Data Solutions Architect
Has 10+ years of experience in data engineering and analytics consultancy.
Ihor is a pro in architecting scalable data systems capable of managing massive databases. He builds the bridge between business objectives and technical execution, ensuring effective solutions implementation.
Vlad Halstyan
Data Engineering Lead/DWH Architect
Expert in designing scalable, secure systems to consolidate and optimize data.
Vlad excels in designing and overseeing end-to-end implementation of DWH systems, ensuring scalability, efficiency and seamless data integration. Execute hands-on tasks such as data modeling, ETL pipeline development, and integration of disparate data sources.
Ihor Bybka
Data Engineer
Specializes in building data pipelines, optimizing data workflows, and ensuring smooth integration across diverse systems.
With a sharp focus on precise data integration and management, Ihor implements data warehousing frameworks that simplify data management and enhance analytics, helping clients be confident in their decisions.
Why Partner with us
Why Choose Our Data Warehouse Consultants
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Fast results & Receptive Team
Start project in 1 week.
Get first results within 1 month – no additional hiring needed.
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Cost-Effective Growth
Reduce overheads for traditional data storage by moving to cloud data warehouse – switch to pay-as-you-go model.
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Industry Expertise
We provide DWH solutions to SaaS, E-commerce, EdTech, Healthcare, OTT, iGaming, Social Discovery/Dating, Web 3.0, Crypto businesses.
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Сustom Solutions
Cloud DWH platform is selected to fit your specific business needs. Scalable storage grows with your data – no major investments required.
Secure Predictable Growth backed by Data Warehouse Experts
We only partner with companies we’re 100% sure we can deliver results for.
Testimonials
What clients say about our
Data Warehouse Consulting
We are pleased with Dot Analytics’ services outputs.
Dot Services has successfully delivered a dashboard in Data Studio that provides clear information about Google Analytics issues. They have demonstrated expertise in their field and effectively solve the problem at hand.
Jason Olim
COO, co-founder of classtag.com
Their data analyst has capability and understanding how to operate proactively and autonomously.
Conviva was successfully integrated into the ITVX data ecosystem; replacing the old system in terms of alerting, reporting and analysis. Its adoption was so effective that the service delivery department, along with other departments, started to use it for their own analysis and reporting needs.
Tim Allen
Solution Architect, itvx.com
Their experience with Google Cloud Platform (GA4, GTM) and Shopify e-commerce was a valuable asset for us.
Dot Analytics successfully set up precise conversion tracking for the platform. The team was highly communicative and all our internal stakeholders were impressed with the vast technical expertise.
Anna Dudoukin
CEO, niasha.chS
They don’t waste time and carefully listen to our feedback, addressing all concerns.
We worked in weekly sprints and communicated primarily over Slack. They delivered all results on time. Above all, the team was diligent, attentive, and efficient.
Dima Okhrimchuk
CEO, Drope.me
They’ve offered an excellent match of the services’ costs and the obtained results.
Thanks to Dot Analytics’ implementations, we’re able now to track user data, ensuring data security and access. Dot Analytics uses Telegram, Google Drive, and Google Meet for collaboration, which helps them keep the project organized and ensures delivery on time. Moreover, they’re cost-efficient.
Maria Zagoshkina
Marketing Manager, pibox.com
Working with them was easy.
We’ve been working with Ihor for half a year. During that time he showed himself as an executive and responsible Data Analyst. Ihor knows Tableau and Google Analytics on the proficiency level.
Maria Yudina
COO Assistant, strivtech.com
Need help?
Check our FAQs
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What is data warehouse consulting?
It’s expert guidance on planning, implementing, upgrading a data warehouse for centralized data management that is necessary for scaling.
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How do cloud data warehouse consulting services differ?
Cloud services provide scalability, flexibility, cost efficiency – unlike traditional on-premises solutions.
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What are key advantages of a cloud data warehouse platform?
Critical factors include security, scalability, cost efficiency, compatibility with existing IT infrastructure and support for real-time analytics.
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How to start with your DWH consulting services?
Contact us through our online form to schedule a free short consultation to discuss your goals and specific needs and how our services can help.
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How do you ensure user data privacy and security during data warehouse consulting?
We adhere to strict data privacy regulations and implement advanced security measures to protect all user data we analyze. Privacy and security are our top priorities in all analytics projects.
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Does your data warehouse consulting services include ongoing support?
We provide flexible options to meet your needs. We can start with a project-based approach to address immediate challenges and set up your DWH framework. Then, you can transition to a subscription model for continuous support, regular reporting and ongoing refining.