Our Expertise
Empowering Strategic Decisions with Advanced Data Engineering Services
Our data engineering consulting services provide comprehensive support, enabling businesses to harness data for informed decision-making and improved operations.
We cover everything from developing a data strategy to implementing advanced data systems and optimizing them, ensuring a strong, scalable data infrastructure tailored to your goals.
Data Engineering Consulting Services
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Data Strategy and Roadmap Development
We start by assessing your current data capabilities and business goals to craft a strategic data roadmap.
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Data Architecture Design
Designing data architectures that are not only scalable and secure but also conducive to efficient data processing and analysis.
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Data Pipeline Construction
Building and optimizing data pipelines for seamless data collection, processing, and delivery across your organization.
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Data Integration and Management
Integrating disparate data sources into a cohesive, manageable system for a unified data view.
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Data Storage Solutions
Implementing secure, scalable data storage solutions that cater to both current and future data volumes.
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System Performance Optimization
Continuously monitoring and refining data systems to ensure peak performance and cost efficiency.
What makes our Data Analytics agency different?
We only partner with companies if we’re 100% sure we can get the result.
Industry-Specific Expertise
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E-commerce Analytics
Enhance sales, engagement, and conversion optimization.
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Crypto Analytics
Analyze market trends and investment strategies.
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iGaming Analytics
Optimize player experiences and lifetime value.
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Web 3.0 Analytics
Explore trends and behavior in Web 3.0.
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Social Discovery
Improve algorithms and user engagement.
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SaaS
Tailored analytics strategies that drive subscription growth.
Grow your businesses with Dot Analytics
We don’t just understand data, we understand your sector
Our expertise in key industries allows us to deliver solutions are perfectly aligned with industry standards and expectations.
Case Studies and Success Stories
Transforming challenges into achievements across various industries with strategic data engineering
Through these engagements, Dot Analytics Agency has not only addressed specific challenges but also set new benchmarks for success in the digital analytics landscape.
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iGaming
GRP.co
Work Result
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
Work Result
We helped uWeed enhance their data tracking, analytics, and online performance, resulting in a 32% increase in CR (Conversion Rates) and a 17% boost in Repeat
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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Gaming
Drope.me
Work Result
Set up GTM and Google Analytics 4, created various data visualizations, evaluated marketing effectiveness, and provided product improvement recommendations, resulting in a significant increase in Customer Retention and Loyalty.
Increased User Retention Rate
+ 0 % URRUsed Technology
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BigQuery
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Looker Studio
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Google Spreadsheet
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Google Analytics 4
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Google Tag Manager (Web and Server-side)
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Video Streaming
ITVX
Work Result
Integrated Conviva’s monitoring and alerting system into ITV’s streaming platform, enhancing error transparency and streamlining operational workflows for improved viewer experience.
Increased Error Detection Speed
x 0Used Technology
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Conviva
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BigQuery
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Excel
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Splunk
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Google Spreadsheets
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Slack
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Edtech
ClassTag
Work Result
Implemented and optimized event tracking for Class Tag’s web and mobile applications, enhancing data visibility and user engagement through Google Analytics 4 and Looker Studio.
Increased RR (Retention Rate)
+ 0 % RRUsed Technology
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Looker Studio
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Google Analytics 4
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Google Tag Manager
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BigQuery
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E-Commerce
IWDM
Work Result
Optimized marketing efforts, leading to a $70-$100 reduction in CAC (Customer Acquisition Costs) per customer and over $10 million in revenue through Clickfunnel.
Reduction in CAC per Customer
– 0 % CACUsed Technology
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Shopify
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Looker Studio
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Google Tag Manager
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Google Analytics 4
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Python
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Fivetran
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Vibe
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Why Choose Us
Choose Excellence with Our Data Engineering Outsourcing Solutions
Outsourcing your data engineering to us brings a host of benefits, ensuring your data operations are both powerful and efficient.
Here’s why we stand out
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Access to Expertise
Tap into our team’s extensive knowledge and experience without the overhead of hiring in-house. We stay on the cutting edge of data engineering technologies and practices.
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Cost-Effectiveness
Outsourcing eliminates the need for significant investment in technology infrastructure and specialized personnel. Enjoy top-tier data engineering services at a fraction of the cost of building an internal team.
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Focus on Core Business
Let us handle the complexities of data engineering, freeing your team to concentrate on what they do best—driving your business forward.
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Scalable Solutions
Our services are designed to scale with your business. Whether you’re growing rapidly or facing fluctuating demands, we adjust our support to meet your needs, ensuring seamless data operations.
Let our expertise in analytics services guide your journey to success.
Our Testimonials
Hear first-hand from our valued customers what they think about working with us
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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, much to the client’s delight. The team was highly communicative, and internal stakeholders were particularly impressed with the service provider’s vast technical expertise.
Anna Dudoukin
CEO, niasha.ch
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Their data analyst has the capability and understanding to operate proactively and autonomously.
Conviva successfully integrated into the itv data ecosystem; substituting the old system in terms of alerting, reporting and analysis to the degree that the service delivery department and other departments started to use it in their own analysis and reporting.
Tim Allen
Solution Architect, itvx.com
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They don’t waste time and carefully listen to our feedback.
The team primarily communicated over Slack, responsively accommodating all concerns. Above all, they were diligent, attentive, and efficient.
Dima Okhrimchuk
CEO, Drope.me
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They’ve offered an excellent match of the services’ costs and the obtained results.
Thanks to Dot Analytics’ implementations, the client is now able to track user data, ensuring data security and access. Dot Analytics uses Telegram, Google Drive, and Google Meet to collaborate, which help them keep the project organized and deliver on time. Moreover, they’re cost-efficient.
Maria Zagoshkina
Marketing Manager, pibox.com
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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 employee. Ihor knows Tableau and Google Analytics on the proficiency level. I recommend this employee for hiring!
Maria Yudina
COO Assistant, strivtech.com
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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, earning the client’s approval.
Jason Olim
COO, co-founder of classtag.com
FAQ
Looking for help? Here are our most frequently asked questions.
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How does data engineering support data analytics?
Data engineering prepares analytics-ready data, essential for advanced data analytics, by organizing and cleaning data, critical for deriving accurate insights.
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What is involved in data lake engineering services?
Data lake engineering entails big data architecture design and real-time data ingestion, providing scalable data storage solutions for diverse data types.
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Can data integration engineering improve my business operations?
Yes, by streamlining data processing solutions and ensuring real-time data integration, businesses can enhance operational efficiency and decision-making.
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Why is modern data architecture important?
Modern data architecture supports scalable, advanced data analytics infrastructure, crucial for leveraging big data and machine learning data preparation.
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What are the benefits of outsourcing data engineering?
Outsourcing to a data engineering consultant offers expertise in ETL and data transformation services, cloud-based data management, and ensures data quality through specialized skills.
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How do consulting services differ from analytics services?
Data engineering consulting focuses on building the foundation with big data, ETL services, and data pipeline development, while analytics services analyze this data for insights.
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What industries can benefit from data engineering services?
Any industry dealing with big data can benefit, especially when requiring scalable data storage solutions and advanced analytics infrastructure.
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How do you ensure data quality and security?
We employ rigorous data governance and compliance measures alongside data quality assurance techniques to maintain the integrity and security of your data.
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What technologies are commonly used?
We utilize technologies for cloud-based data management, real-time data ingestion and streaming, and scalable data solutions to support big data and analytics.
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How do I get started?
Getting started is easy. Reach out to us with your needs, and our data engineering consultant will tailor data processing solutions to transform your data into a valuable asset.