Smart Outsourcing
We guarantee this is a smart deal for Entrepreneurs and Business Owners, Decision-Makers and Business Executives, Marketers and Analysts
Dot Analytics is a data analytics center that brings together cutting-edge data analytics and processing solutions. The company’s mission is simple: to make data drive better business outcomes NOW, TODAY and TOMORROW.
WE RETURN MONEY IF WE DON’T DELIVER WHAT YOU NEED! (0.01% of probability)
Dot Analytics was founded in 2018 in Kyiv, Ukraine.
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Data visualization
✔ You want to see a global view because you are a business leader.
✔ It simplifies communication and decision-making.
✔ For those managing risk and decisions today — we visualize yesterday’s data into a story that guides action. -
Data analytics
✔ For those seeking clarity — we extract facts from data.
✔ For those seeking one well-founded vision — we narrow the decision space
✔ For those who want to understand data — we build that bridge.
✔ For those who want to shorten the path from data to action — we help find a way to acceleration. -
Data engineering
✔ For those who manage multiple marketing channels — we connect and unify data across platforms.
✔ For those with diverse and high-volume data — we bring speed and efficiency. -
Data science
✔ For those looking for ways to personalize user experiences — we build audiences, define segments, and uncover patterns from data.
✔ For those guiding a user to make a choice — we deliver recommendations built on user data. -
AI and ML
✔ We build math algorithms to solve complex business tasks.
✔ For those needing real-time decisions — AI models deliver accurate predictions.
✔ For those seeking real-time personalization — AI models drive clustering and segmentation. -
Data strategy
✔ We help digital businesses define, prioritize, and unlock the full value of their data assets.
✔ For those building from scratch — we design data warehouses and data flows that are modern and clean.
✔ For those securing sensitive data — we embed protection and privacy by design.
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One Stop Smart Outsourcing
12 MONTH GUARANTY ON ALL SERVICES WE PROVIDE AND SOFTWARE WE BUILD! 🤪🤑
Process and timeline
We use an individual approach to each company: our set of solutions and tools is offered both comprehensively and separately, according to priority.
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1
Discuss the business goal
Definition of tasks and problems. Strategy formulation. Defining a preliminary roadmap. Meet the team. Coordination of communication formats. Signing of the NDA.
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2
Data evaluation and discovery
Thorough evaluation of your existing data infrastructure. Identifying key areas for improvement and formulating a strategic plan to maximize data utility. Formation of a list of services, tools and solutions to achieve the goal. Detailed discussion and determination of priorities.
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3
Start of work with data
Data Preparation. Audit. Cleaning and structuring, building automated pipelines. Ensuring data integrity. Integration from multiple sources. Modeling missing data. Selecting a right BI tools.
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4
Implementation of infrastructure
We transform data into strategic advantage. From robust infrastructure and intelligent automation to predictive analytics, customer intelligence, and executive-grade dashboards — we enable confident, high-impact decisions grounded in reliable, high-quality data.
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5
Handover & long-term support
At the final stage, we deliver a fully operational infrastructure to your team. Our proactive approach ensures your data solutions remain scalable, secure, and future-ready. We provide training, knowledge transfer, and ongoing expert support to guarantee continuity, reliability, and long-term value.
Cloud tech
Data visualization tools
Self-serving analytics
Databases and sheets
Program languages
Testimonials
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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
-
“Their experience with Google Cloud Platform (GA4, GTM) and Shopify e-commerce was a valuable asset for us. Our clients were delighted with our understanding of exactly what they needed now.”
CEO, founder of Niasha
Anna Dudoukin
-
“Their data analyst has the capability and understanding to operate proactively and autonomously. Conviva has successfully integrated into the new data ecosystem, acquiring a host of new tools.”
Solution architect at itvX
Tim Allen
-
“They’ve offered an excellent match of the services’ costs and the obtained results. Communication with the Dot Analytics team was easy.”
CMO at Pibox
Maria Zagoshkina
-
“The service provider’s vast technical expertise allowed us to implement what we wanted. Ihor knows Tableau and Google Analytics on the proficiency level.”
COO assistant at Strivtech
Maria Yudina
-
“Dot Analytics has successfully delivered a dashboard in Data Studio. They have demonstrated expertise in their field and effectively solve the problem at hand.”
COO, co-founder of Classtag
Jason Olim
-
“They gave us that end-to-end view of customer acquisition cost, revenue and channel effectiveness”
CTO at Rounds
Alik Hocher
-
“Their team was communicative and proactive, turning our data into actionable insights that significantly improved our onboarding.”
CMO at Just School
Anton Bespalko
-
“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
-
“They seamlessly integrated our data sources and developed an easy-to-use Looker Studio dashboard that delivers clear, actionable insights.”
CEO, founder of Shared Contacts Manager
Artem
-
“I’ve worked with many agencies, but Ihor’s team stood out for their deep understanding of both data and human behavior.”
CEO, founder of Groombo
Bohdan Abc
-
“We needed a quick but effective result. We implemented changes and significantly improved interactions with our clients.”
CPO, founder of Top Property
Chris Blaber
-
“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
-
“It was an easy and comfortable collaboration, the Dot Analytics team completed the assigned tasks quickly and profitably.”
COO at Modusolutions
Esko Kilpinen
-
“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
-
“Dot Analytics enabled us to increase user adoption, scale our analytics capability and become more data-driven.
CEO at Fulcrum
Ihor Prokopenko
-
“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
-
“Dot Analytics helped us to jump-start our analytics and deliver high-quality data, right from the start.”
CEO at Quarks
Ivan Rolik
-
“They increased our data team’s capabilities and helped us build a solid foundation for embedded analytics”
CPO at Just School
Konstantin Merenkov
-
“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
-
“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
-
“Working with Dot Analytics to develop the AI capability of our new DataRoot Labs platform has been transformative for us and our customers.”
CEO, co-founder of DataRoot Labs
Max Frolov
-
“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
-
“I am glad that I met the Dot Analytics team. They did not push unnecessary services on me, but offered exactly what I needed to improve conversions and reduce costs.”
CEO at Jouret Development Solutions
Peter Jouret
-
“They built data warehouses and data marts for us. They were productive and offered solutions.”
CMO at GRP
Sam Wee
-
“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
-
“We needed to combine, process and display a large amount of data. It was a complex job and I am 99% satisfied with the result.”
CEO, co-founder at Futurra Group
Vitaliy Shatalov
-
“Thanks to Dot Analytics, our data was in the right place at the right time.”
CEO at Orbuculum
Vlad
-
“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
-
“I am grateful to the agency for the quality work on business analytics and data modeling.”
CFO at Fulcrum
Vlad Prokopenko
-
“Our marketing team needed some initial setup of the data architecture. Thanks to Igor’s agency, we got a real, working tracking tool.”
CEO at Advantage
Vlad Ponomarenko
-
“Ulearn were interested in setting up analytics and transferring control to our departments. We received high-quality dashboards for decision-making by sector.”
CEO at Ulearn
Waseem Ahmed
-
“I have a growing company and needed to launch analytics almost from scratch. Ihor proposed a comprehensive solution and it has already paid off.
CEO at GRP
Will Tan
-
“We had a great conversation and I ordered some of the data consulting services. I am looking forward to continuing the collaboration in the future.”
CEO at TraidTech
Yurii Kryvoborodov
“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
“Their experience with Google Cloud Platform (GA4, GTM) and Shopify e-commerce was a valuable asset for us. Our clients were delighted with our understanding of exactly what they needed now.”
CEO, founder of Niasha
Anna Dudoukin
“Their data analyst has the capability and understanding to operate proactively and autonomously. Conviva has successfully integrated into the new data ecosystem, acquiring a host of new tools.”
Solution architect at itvX
Tim Allen
“They’ve offered an excellent match of the services’ costs and the obtained results. Communication with the Dot Analytics team was easy.”
CMO at Pibox
Maria Zagoshkina
“The service provider’s vast technical expertise allowed us to implement what we wanted. Ihor knows Tableau and Google Analytics on the proficiency level.”
COO assistant at Strivtech
Maria Yudina
“Dot Analytics has successfully delivered a dashboard in Data Studio. They have demonstrated expertise in their field and effectively solve the problem at hand.”
COO, co-founder of Classtag
Jason Olim
“They gave us that end-to-end view of customer acquisition cost, revenue and channel effectiveness”
CTO at Rounds
Alik Hocher
“Their team was communicative and proactive, turning our data into actionable insights that significantly improved our onboarding.”
CMO at Just School
Anton Bespalko
“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
“They seamlessly integrated our data sources and developed an easy-to-use Looker Studio dashboard that delivers clear, actionable insights.”
CEO, founder of Shared Contacts Manager
Artem
“I’ve worked with many agencies, but Ihor’s team stood out for their deep understanding of both data and human behavior.”
CEO, founder of Groombo
Bohdan Abc
“We needed a quick but effective result. We implemented changes and significantly improved interactions with our clients.”
CPO, founder of Top Property
Chris Blaber
“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
“It was an easy and comfortable collaboration, the Dot Analytics team completed the assigned tasks quickly and profitably.”
COO at Modusolutions
Esko Kilpinen
“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
“Dot Analytics enabled us to increase user adoption, scale our analytics capability and become more data-driven.
CEO at Fulcrum
Ihor Prokopenko
“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
“Dot Analytics helped us to jump-start our analytics and deliver high-quality data, right from the start.”
CEO at Quarks
Ivan Rolik
“They increased our data team’s capabilities and helped us build a solid foundation for embedded analytics”
CPO at Just School
Konstantin Merenkov
“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
“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
“Working with Dot Analytics to develop the AI capability of our new DataRoot Labs platform has been transformative for us and our customers.”
CEO, co-founder of DataRoot Labs
Max Frolov
“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
“I am glad that I met the Dot Analytics team. They did not push unnecessary services on me, but offered exactly what I needed to improve conversions and reduce costs.”
CEO at Jouret Development Solutions
Peter Jouret
“They built data warehouses and data marts for us. They were productive and offered solutions.”
CMO at GRP
Sam Wee
“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
“We needed to combine, process and display a large amount of data. It was a complex job and I am 99% satisfied with the result.”
CEO, co-founder at Futurra Group
Vitaliy Shatalov
“Thanks to Dot Analytics, our data was in the right place at the right time.”
CEO at Orbuculum
Vlad
“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
“I am grateful to the agency for the quality work on business analytics and data modeling.”
CFO at Fulcrum
Vlad Prokopenko
“Our marketing team needed some initial setup of the data architecture. Thanks to Igor’s agency, we got a real, working tracking tool.”
CEO at Advantage
Vlad Ponomarenko
“Ulearn were interested in setting up analytics and transferring control to our departments. We received high-quality dashboards for decision-making by sector.”
CEO at Ulearn
Waseem Ahmed
“I have a growing company and needed to launch analytics almost from scratch. Ihor proposed a comprehensive solution and it has already paid off.
CEO at GRP
Will Tan
“We had a great conversation and I ordered some of the data consulting services. I am looking forward to continuing the collaboration in the future.”
CEO at TraidTech
Yurii Kryvoborodov
Get consultation?
Send us a message, and we’ll respond within 24 hours.
Book a consultation in a convenient time!
Contact usFAQ
Looking for help in Data Governance Tools Landscape?
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What is data governance, and why is it important for my business?
Data governance involves the oversight and management of data availability, usability, integrity, and security in an organization. It’s crucial because it helps businesses make better decisions, improves operational efficiency, and ensures compliance with regulations.
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How can data governance consulting services enhance our data management strategies?
Our data governance consulting services introduce structured management and frameworks to your data handling, enhancing data quality, security, and compliance. Our governance advisory services help optimize these strategies to align with your business objectives.
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What services are included in data governance consulting?
Services include data audits, developing governance frameworks, tailored governance solutions, and implementing data security and compliance measures to safeguard your information.
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What industries benefit from data governance consulting?
All sectors that handle significant amounts of data can benefit, especially finance, healthcare, e-commerce, and technology, where data management and compliance are critical.
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What are the key responsibilities of a data governance consultant?
A data governance consultant advises on creating effective data governance strategies, assists in implementing these plans, and ensures that data practices comply with necessary regulations and standards.
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How does data governance as a service differ from traditional consulting?
Data governance as a service provides ongoing, scalable solutions managed externally, allowing businesses to have continuous support and adapt quickly to changes in data regulation and business needs.
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What steps are involved in implementing a data governance program?
Steps include assessing current data practices, defining governance goals, developing a comprehensive strategy, implementing the strategy across the organization, and ongoing monitoring and refinement.
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How do you ensure compliance with data regulations through your consulting services?
Our services include regular data audits, updates to governance frameworks, and continuous education on new regulations to ensure that your business remains compliant.
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What are the typical challenges faced during data governance implementation?
Challenges include overcoming organizational resistance, integrating disparate data systems, and aligning data governance initiatives with business objectives.
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How do we initiate a data governance consulting engagement with your team?
To initiate an engagement, contact us via our website or phone. We’ll schedule an initial consultation to discuss your needs and outline how our data governance expertise can help your organization.
FAQ
Looking for help in Data Governance Services Landscape?
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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.
FAQ
Looking for help in Data Analytics Services Landscape?
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What does the Data Analytics with AI service include?
Our service integrates Data Automation, Segmentation & Clustering, Time Series Analysis, Machine Learning and Model Training, AI Development (including Generative AI and NLP), and Real-Time Analysis. This transforms raw data into actionable business insights.
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How is AI-powered analytics different from traditional analytics?
Traditional analytics answers “what happened,” while AI-powered analytics answers “what will happen,” “why it happens,” and “what actions should be taken.” It provides not just reports but intelligent recommendations and automation.
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At which stage of the project is Machine Learning applied?
Machine Learning is applied after data preparation and segmentation. It involves training models, validating their accuracy, and fine-tuning them to solve specific business problems.
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What business outcomes can be expected from implementing Data Analytics with AI?
Faster trend detection, improved customer insights, automation of decisions, and reduced time from data to action — all driving operational efficiency and business growth.
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Can your solutions be integrated into our existing systems?
Yes. Our solutions easily integrate with modern CRM, ERP, marketing platforms, and BI systems via APIs, streaming services, or direct database connections.
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How is the effectiveness of the implemented models measured?
Through technical metrics (accuracy, precision, recall) and business KPIs such as higher conversion rates, reduced churn, increased LTV, and faster response times.
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How secure is working with our data?
We ensure full data security: encryption, access control, and compliance with GDPR and all applicable regulations. Data confidentiality is a top priority.
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What kind of ongoing support does Dot Analytics provide after data solution deployment?
We offer continuous support to keep your data infrastructure running smoothly. Our maintenance services include governance, data quality management, cataloging, and lineage tracking. We also provide updates, performance optimizations, and enhancements to align with your evolving business needs. With our proactive approach, we ensure your data solutions remain scalable, secure and future-proof.
FAQ
Looking for help in Artificial Intelligence Services Landscape?
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What is the difference between trend prediction, forecasting, and foresight analysis?
Forecasting builds short-term expectations based on historical data. Predictions are forecasts of specific events or customer actions. Foresight is strategic modeling of future scenarios for making long-term decisions.
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What technologies and methods does Dot Analytics use for content personalization and customer recommendations?
We employ hybrid recommendation systems that combine content-based filtering, collaborative filtering, and deep learning techniques.
To enhance personalization quality, we apply natural language processing (NLP) methods, user behavior clustering, and model training on real-time customer journey data. -
How quickly can we expect to see the first results after implementing forecasting or recommendation models?
Initial results typically become visible within 1 to 3 months after deployment, with improvements in conversion rates, customer retention, and sales performance.
The exact speed depends on the volume and quality of available data as well as the chosen modeling approach. -
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.
FAQ
Looking for help in Data Engineering Services Landscape?
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How do you approach data integration from multiple sources?
We employ a comprehensive approach to data integration, utilizing advanced ETL (Extract, Transform, Load) processes and modern data integration tools. Our team assesses your existing data sources, designs a unified data model, and implements robust pipelines to consolidate data from diverse systems. We ensure data quality and consistency throughout the integration process, enabling a single source of truth for your analytics and decision-making needs.
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How can Dot Analytics data engineering services enhance my organization’s decision-making processes?
Our data engineering services ensure that your business decisions are based on accurate, high-quality data. We help you collect, integrate, and process data to gain insights faster.
Let us do this voluminous and labor-intensive work, which reduce manual efforts, allowing your teams to focus on strategic actions. -
I could’ve just bought a connector from Airbyte, Segment, MeasureSchool, Coupler, Fivetran — you name it.
As you can see, there are plenty of vendors offering these kinds of plug-and-play tools. But do they really understand what you need from your data? These solutions aren’t tailored — they give you raw data, and the rest is your problem. If working with raw data excites you — send us your CV.
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What kind of ongoing support does Dot Analytics provide after data solution deployment?
We offer continuous support to keep your data infrastructure running smoothly. Our maintenance services include governance, data quality management, cataloging, and lineage tracking. We also provide updates, performance optimizations, and enhancements to align with your evolving business needs. With our proactive approach, we ensure your data solutions remain scalable, secure and future-proof.
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What are the benefits of outsourcing data engineering?
This allows you to get expert knowledge in ETL, transformation services and cloud data management from Dot Analytics. Our solutions guarantee high-quality results in a short time, without the need to hire employees.
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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.
FAQ
Looking for help in Business Intelligence Services Landscape?
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What if I do the analytics myself now?
We are not surprised when our clients, even in the process of preliminary discussion of their request with us, realize the extent of the omissions in the independent approach. In our practice, we are faced with the fact that the immersion in details, the scope of knowledge and the set of tools in independent work are small and limit the understanding for decision makers. Thus, opportunities for extracting ideas and optimizations are missed.
Unlike independent analysis, we will apply an advanced set of knowledge and competencies, a highly professional and qualitatively different view of your business data in a short time.
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Do your decisions have a temporary or long-term effect?
It all depends on the task and the client’s requirements. This can be either point analytics or a large-scale approach, integrating analytics into your environment, as well as transferring skills and management tools. Our task is not only to improve your operations by providing you with strategically correct business model settings, but also to ensure continuity in understanding the principles and foundations of our solutions.
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Who will have access to my data and how security will be maintaned?
This is a very common, justified question and we take safety seriously. We guarantee on our side legal NDA If you don’t have your example of NDA we will provide ours. Specifics of how access to data will be shared we could work out at the meeting (firewalls, SSH access, SSH keys, HASHING, SHA-256, sensitive data like emails, phones, names).
faq
Looking for help in Data Vizualization Services Landscape?
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What are the main benefits of data visualization?
Data visualization services address challenges in interpreting large datasets, uncovering trends, enhancing strategic decision-making, and facilitating clear and effective communication of insights.
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What are Dot Analytics’ data requirements for effective visualization?
Effective data visualization requires accurate, complete, and well-structured data. Key attributes include consistency, relevance to the intended message, proper formatting, and sufficient granularity to support clear, insightful visual representation.”
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Can Dot Analytics competently prepare my data for visualization?
If required, we are also well equipped to prepare your data for visualization. Our approach begins with a detailed Data Engineering phase, ensuring your data is accurately structured and optimized for effective visualization.
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What kind of ongoing support does Dot Analytics provide after data visualization deployment?
We offer continuous support to keep your data infrastructure running smoothly. Our maintenance services provide ongoing support for your solution and uninterrupted operation. We also provide updates and enhancements to align with your evolving business needs. With our proactive approach, we ensure your data solutions remain scalable, secure and future-proof.
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How do I get started?
Getting started is easy. Reach out to us with your needs, and our consultant will tailor data visualization solutions to transform your data into a valuable asset.
faq
Looking for help in Data Modeling Tools and Services Landscape?
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What is data modeling, and why is it important for my business?
Data modeling is the process of creating a visual representation of a system or information. It’s crucial for businesses because it helps organize data and supports better decision-making by ensuring data is accurate, consistent, and accessible.
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How can data modeling services enhance our data management strategies?
Our tailored data modeling services help streamline your data management strategies by creating efficient data frameworks that reduce redundancy, enhance data quality, and enable faster retrieval of information.
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What industries benefit from data modeling consulting?
Virtually all industries can benefit from data modeling, especially those with large amounts of data like healthcare, finance, e-commerce, telecommunications, and manufacturing.
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What methodologies and tools do you use for data modeling?
We use a variety of data modeling frameworks and tools tailored to each project’s needs, including ER diagrams, UML, SQL databases, and NoSQL for handling diverse data types and structures.
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How do you ensure the security and confidentiality of our data during the modeling process?
Security and confidentiality are paramount. We adhere to strict data protection protocols, encrypt data at rest and in transit, and comply with all relevant regulations to safeguard your data throughout the modeling process.
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What is the typical timeline for a data modeling project?
The timeline varies based on complexity and scope but typically ranges from a few weeks to several months. We prioritize efficient delivery without compromising the quality of our data modeling consulting services.
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How do you measure the success of a data modeling project?
Success is measured by the project’s impact on your decision-making processes and operational efficiency. We look for improved data accessibility, faster processing times, and positive feedback from stakeholder use.
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How do we initiate a data modeling consulting engagement with your team?
To start a data modeling consulting engagement, contact us through our website or call our office. We’ll schedule an initial consultation to discuss your needs and how our data modelling services can help achieve your objectives.
Do you need help?
Looking for help in general?
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What data stack does Dot Analytics use?
Our data stack includes leading-edge technologies tailored to needs of modern data processing and analysis. We utilize a variety of tools and platforms, such as Google Cloud Platform, Hadoop, Spark, and custom-built solutions to handle big data, data engineering and data visualization effectively.
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How does Dot Analytics approach data privacy and security?
We comply with strict data protection regulations and implement strong security measures, including encryption, access controls, regular security audits, to ensure the safety of your data at every stage of the analytics process.
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Can Dot Analytics integrate with my existing Data Infrastructure?
Yes, integration is a key component of our services. Dot Analytics specializes in seamlessly integrating with your existing data infrastructure, enhancing it without disrupting ongoing operations. Our team ensures that new solutions complement and extend exiting ones to maximize data utility.
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How does Dot Analytics, as data analytics agency, measure the impact of its services?
We measure the impact of our services using key metrics aligned with your business goals, such as increased revenue, improved customer engagement, enhanced operational efficiency, etc. Through regular impact assessments and reports we keep you updated on the progress and ROI of your data initiatives.
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How does Dot Analytics, as AI analytics agency, approach AI solutions?
We apply neural networks, machine learning, statistical algorithms to develop AI/ML solutions tailored directly to your business needs. AI/ML solutions include customer segmentation, predictive analytics for ad campaigns performance, recommendation systems, personalized content generation. These tools help optimize targeting, improve customer experiences and engagement. that further boost your ROI.
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What services does Dot Analytics, as big data agency, provide?
We specialize in data engineering and advanced analytics, helping businesses manage and analyze large datasets. We develop data warehouses, create real-time dashboards, apply predictive models, integrating multiple data sources, APIs, ad platforms. This allows to predict customer behavior and personalize campaigns, reducing CAC and optimizing targeting.
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How can I start cooperation with you as my data analytics agency?
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.
Do you need any support?
Here are our most frequently asked questions!
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How can data analytics consulting benefit my business?
Data analytics consulting helps your business by providing insights that drive informed decision-making. It can optimize operations, enhance customer experiences, improve marketing strategies, and increase overall efficiency and profitability. As a consulting company, we provide advanced analytics advisory services tailored to your specific needs.
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How does data analytics outsourcing work?
Outsourcing data analytics involves partnering with our consulting firm to handle your data needs. We start with an initial consultation to understand your objectives, then collect, process, and analyze your data using advanced tools and techniques. Finally, we provide actionable insights and recommendations to help you achieve your business goals.
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What industries do you serve?
We serve a wide range of industries, including e-commerce, crypto, web3, food&restaurant, healthcare, gaming, igaming, and social discovery. Our expertise in business intelligence consulting allows us to tailor our data analytics solutions to meet the specific needs of each sector.
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How do you ensure the privacy and security of our data?
We prioritize data privacy and security by implementing strict protocols and using advanced encryption methods. Our data management solutions follow industry best practices and comply with relevant regulations to ensure your data is protected at all times.
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What technologies do you use for data analytics?
We use a variety of advanced technologies for data analytics, including machine learning algorithms, predictive modeling, and real-time data processing tools. Our technology stack includes platforms like Google Sheets, Excel, Python, R, JavaScript, SQL, Tableau, PowerBI, Voluum, Amplitude, AdsBridge, Google Cloud Platform, Google Tag Manager, Google Analytics 4, and many others enabling us to provide comprehensive BI and analytics support.
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How long does a typical data analytics consulting project last?
The duration of a data analytics consulting project varies depending on its complexity and scope. Generally, projects can last anywhere from a few weeks to years. We work closely with you to establish a timeline that meets your needs, offering flexible analytics & insight services.
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Do you provide training for our team on the analytics tools implemented?
Yes, we offer training for your team on the analytics tools we implement. Our goal is to empower your staff to utilize these tools effectively and gain the most value from our data analytics solutions. Our data analysis expert services ensure your team is well-prepared.
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How do you measure the success of a data analytics consulting project?
We measure the success of a data analytics consulting project based on predefined key performance indicators (KPIs) and the achievement of your specific business goals. Success metrics may include improved operational efficiency, increased sales, enhanced customer satisfaction, and ROI, reflecting our commitment to effective big data strategy.
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How do I get started with your data analytics consulting services?
Getting started is easy. Contact us through our website to schedule an initial consultation. We’ll discuss your business needs and challenges, and then develop a customized data analytics plan to help you achieve your objectives. Let our consulting firm provide the analytics & insight services you need for success.
FAQ
Looking for help in Data Visualization Tools and Services Landscape?
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What types of data visualization services do you offer?
We provide comprehensive data visualization services, including custom dashboard design, KPI visualization, and tailored business intelligence solutions to fit your company’s needs.
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How can your data visualization services enhance our decision-making process?
Our consulting services make complex data intuitive, supporting quicker, informed decisions through effective visualization and storytelling strategies.
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What tools and technologies do you use for data visualization?
We use top tools like Looker Studio, Tableau, Power BI, and bespoke software solutions, ensuring impactful, customized visualizations.
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Can you customize data visualizations to fit our specific needs?
Yes. As experts, we specialize in creating customized visualizations that align with your unique business goals and data requirements.
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How do you ensure the security and confidentiality of our data?
Data security is paramount. We use strict protocols and secure environments to protect your data throughout the visualization process.
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What industries do you serve?
Our services are versatile, catering to sectors like finance, healthcare, retail, and technology, with industry-specific solutions.
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What is the typical timeline for a data visualization project?
Project timelines vary, generally spanning a few weeks to months, depending on complexity and scope.
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How do you measure the success of a data visualization project?
Success is gauged by client satisfaction, the attainment of specific objectives, and the positive impact on decision-making and business results.
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How do we get started with your services?
Getting started is easy. Reach out to discuss your visualization needs and how we can help bring your data to life.
FAQ
Looking for help in Data Science Tools and Services Landscape?
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How can data science consulting benefit my company?
Data science consulting leverages predictive analytics, machine learning, and big data analysis to unlock actionable insights, driving growth and efficiency in your operations.
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What makes your data science agency stand out?
Our agency excels in artificial intelligence, statistical modeling, and advanced analytics methods, offering customized solutions and a proven track record across various industries.
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Can you handle large datasets?
Yes, our expertise in big data analysis and data processing and cleaning ensures we can manage and derive insights from large datasets effectively.
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What industries do you serve with your data science consulting services?
We serve multiple sectors, including healthcare, finance, e-commerce, and more, tailoring our services to meet industry-specific challenges.
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What types of data science projects have you worked on?
Our projects range from customer segmentation analysis, and risk assessments using deep learning applications, to developing comprehensive business intelligence solutions.
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How do you ensure the privacy and security of our data?
Data privacy and security are paramount. We implement robust data strategy and governance practices, including cloud computing for data science, to protect your data.
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What tools and technologies do you use for data science services?
We utilize the latest in data mining techniques, algorithm development, and data visualization tools, ensuring cutting-edge solutions for our clients.
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How long does a typical data science project take?
Project timelines vary based on complexity and scope, from weeks for initial models to several months for extensive solutions.
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Do you offer ongoing support and maintenance for data science models?
Yes, we provide continuous support and maintenance, ensuring models remain accurate and effective over time.
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How do we get started with your data science consulting services?
Reach out to us with your project details, and we’ll schedule a consultation to discuss your needs and how we can assist.
FAQ
Looking for help in AI and ML Tools and Services Landscape?
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What does AI consulting involve?
AI consulting encompasses evaluating your current operations, identifying opportunities for AI integration, and implementing solutions to enhance efficiency and innovation. It’s a comprehensive service that includes strategy, development, and deployment of AI technologies.
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How can AI consulting benefit my business?
AI consulting can drive operational efficiency, foster business growth, and provide competitive advantages through smarter decision-making and automation of routine tasks.
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What industries do you serve with your AI consulting services?
Our AI consulting agency serves a broad range of industries, including healthcare, finance, retail, manufacturing, and more, tailoring AI solutions to each sector’s unique needs.
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What technologies do you specialize in within your AI consulting offerings?
We specialize in a variety of AI technologies, including natural language processing, computer vision, machine learning (ML), and robotics, among others.
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Can you help develop an AI strategy for my business?
Yes, our AI/ML consulting services include developing a bespoke AI strategy that aligns with your business objectives, from conceptualization to execution.
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What is the difference between AI and ML consulting?
AI consulting covers a broad range of technologies and applications, while ML consulting focuses specifically on algorithms, data analysis, and predictive modeling within the AI spectrum.
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How do you approach AI project management and implementation?
Our approach is structured and iterative, ensuring that every phase of the project, from planning to deployment, is aligned with your business goals.
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Do you offer AI outsourcing services?
Yes, we provide AI outsourcing services, offering businesses access to our expertise and resources without the need for in-house development.
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How do you ensure the ethical use of AI in your consulting services?
We adhere to strict ethical guidelines and best practices, ensuring that all our AI solutions are developed and implemented with fairness, transparency, and respect for privacy.
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What kind of support do you offer after deploying an AI solution?
Post-deployment, we offer ongoing support and maintenance to ensure your AI solutions continue to operate efficiently and evolve with your business needs.
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Can your AI consulting services help with data privacy and security?
Absolutely, data privacy and security are integral to our AI solution development, ensuring that your business and customer data are protected.
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How can I get started with your AI consulting services?
Getting started is easy. Contact us through our website, email, or phone to schedule an initial consultation to discuss your AI aspirations and how we can assist.