Ideas we realize. Problems we solve.
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Audit & Maturity Check
Assess data reliability. Identifying gaps.
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Data Vision & Strategic Roadmap
Data and strategy consistency.
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Regulatory compliance
Policies. Legal complications.
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Data security
Threats. Risk.
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Scalable data infrastructure
Strategic decisions. Continuity. Adaptability.
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Architecture & Governance
Implementation of standards and rules.
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Data privacy
Security. Access.
Data strategy process and timeline
While the estimate depends on your project idea, we work in short, focused iterations — so you’ll see results asap. If you need help with project ideas, please read the section above.
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1
Start
Start of iteration 1
✔ Estimated time: 5 days.
✔ Start without the overhead of hiring in-house.
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2
Data Strategy
Work execution
✔ Estimated time: 2 weeks
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3
Finish
Finish of iteration 1
✔ Estimated time: up to 1 week.
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4
Start
Start of iteration 2
✔ We provide support with data strategy through ongoing maintenance and other options.
We are certified partners of
Our clients
We deliver results for brands across the USA, Australia, Canada, Europe, and Asia.
These include companies in E-commerce, Social Discovery, iGaming, Web3, Healthcare, iOT, OTT, EdTech, MarTech, and FinTech.
Client testimonials
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“Dot Analytics were able to transform raw data into an organized form. I was able to extract practical ideas on how to work with customers.”
CEO, founder of Intell Rocket
Darko Svetlakovic
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“They did a lot of work studying real user data – they built hypotheses and ran experiments that led to a significant increase in our conversions.”
Analytics director at Plarium
Anton Polischuk
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“They don’t waste time and carefully listen to our feedback. Above all, they were diligent, attentive, and efficient.”
CEO, founder of Drope.me
Dima Okhrimchuk
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“Our business was scaling, but the data wasn’t being properly analyzed. The Dot Analytics team has significantly improved our understanding of things.”
CMO at WeFi
Gleb Levi
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“Dot Analytics’ work was completed on time and met our expectations. We received a ready-made infrastructure for collecting and consolidating data, moving away from manual and fragmented work..”
CTO at DataRoot Labs
Ivan Didur
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“We ordered the unification of data from different sources and their display in the form of live tables and indicators. These solutions significantly reduced the time spent on decision-making.”
CEO at IWDM
Sean Farr
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“Dot Analyst Agency did their best to show us what can be achieved with Looker. We were able to understand big data better”
CEO, founder of uWeed
Loic Aubonney
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“It was an easy and comfortable collaboration, the Dot Analytics team completed the assigned tasks quickly and profitably.”
COO at Modusolutions
Esko Kilpinen
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“They increased our data team’s capabilities and helped us build a solid foundation for embedded analytics”
CPO at Just School
Konstantin Merenkov
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“We had so-called raw business data and we wanted to centralize it for further analysis. The main thing for us is that we got high-quality and accurate data. We are convinced that they did a great job!
CEO, co-founder of Bookimed
Yevheniy Kozlov
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“Dot Analytics was instrumental in designing the architecture of the new data stack and providing senior engineering support.”
CEO at Make My Freshener
Nick Campion
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“We were interested not only in working with user data and the site, but also in comprehensively improving marketing. We are very pleased with the result.”
CEO at Kismia
Vlad Amardi
Explore our Industry-Specific Expertise
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E-commerce
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iGaming
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Web 3.0
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SaaS
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Crypto
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Social Discovery
FAQ
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What’s included in the audit of current data state?
We assess data sources, check quality and consistency, identify duplicates and bottlenecks, and review the infrastructure and data flow processes across systems.
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What risks are mitigated by implementing data governance policies?
Data leaks, calculation errors, inconsistent reports, audit failures, and project delays related to data handling.
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How do you align data with business goals?
We translate strategic objectives into measurable data needs, define the right KPIs, and ensure that data flows and reporting serve real decision-making priorities.
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How can we implement a data strategy without overloading the team?
We follow a phased approach, focusing on high-impact areas first and providing execution support to ensure smooth integration.
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How do you ensure data security as part of the strategy?
We implement role-based access control, encryption standards, and secure data pipelines. Security is embedded into architecture, not added later.
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How do I get started?
We begin cooperation by identifying tasks and problems, depending on which we will offer the components of the service you need or a whole set of works.