Expertise
Our Data Modeling Approach
At Dot Analytics, we are committed to best practices and tailored methodologies that directly address each client’s unique challenges and goals in data modeling.
Data Modeling Consulting Services
-
Understanding Client Needs
Every project begins with a deep dive into the client’s business environment, objectives, and data landscape. This initial discovery phase is crucial for aligning our data modeling consulting services with the specific needs and expectations of our clients.
-
Employing Robust Methodologies
We use proven methodologies such as Entity-Relationship Modeling (ERM), Dimensional Modeling, and Predictive Modeling to optimize data structures, enhance retrieval speed, and forecast outcomes.
-
Best Practices in Data Integrity
Maintaining data integrity is paramount, so we implement rigorous quality assurance processes, including regular data verification and validation techniques like cross-validation, to ensure accurate and reliable outputs from our data modeling services.
-
Customization & Scalability
Understanding that no one-size-fits-all, we customize our data models to be scalable and adaptable to changing business needs. This flexibility allows our clients to leverage their data models for long-term strategic benefits and operational efficiency.
-
Improvement & Iteration
Data environments are dynamic; thus, our engagement doesn’t end at deployment. We continually refine and optimize data models in response to new data, emerging trends, and evolving business objectives, ensuring lasting relevance and value.
Our goal is to make your data modeling
journey productive and smooth
From Implementation Through to Continuous Enhancement and Support
Request a MeetingOur Data Modeling Process
Progression of Model Creation
The data modeling process is meticulously structured to transform initial concepts into efficient, operational physical models. Here’s a walkthrough of the stages involved, demonstrating our data modeling expertise at each step:
-
1
Conceptual Modeling
We start by defining the high-level structure and scope of the database, capturing all necessary entities, their relationships, and key attributes based on business requirements.
-
2
Logical Modeling
Refining the initial designs into a detailed blueprint, we define tables, keys, relationships, validation rules, and integrity constraints, ensuring our models are DBMS-independent and precisely structured.
-
3
Physical Modeling
We convert logical models into optimized databases tailored for specific platforms like SQL Server, Oracle, or MySQL, applying indexing, partitioning, and performance-tuning measures to handle expected workloads efficiently.
-
4
Deployment & Optimization
After implementation, we deploy the databases into your system and continuously monitor and optimize them to ensure peak performance and scalability, adapting to evolving business needs.
Benefits of Our Services
Advantages of Data Modeling
Data modeling offers a multitude of benefits that can transform enterprise operations, enhancing both efficiency and decision-making.
-
Enhanced Decision-Making
By creating structured frameworks for your data, advanced data modeling allows for clearer analysis and accessibility. This clarity provides critical insights more quickly and accurately, supporting more informed and timely decisions across all levels of your organization.
-
Streamlined Processes
Data models help to streamline business processes by ensuring that data structures are optimized for the fastest and most effective processing. This leads to quicker turnaround times and reduced operational bottlenecks, enhancing overall business agility.
-
Data Consistency
Strategic data modeling establishes a uniform format for data collection and storage, ensuring consistency throughout the organization. This consistency is crucial for maintaining the integrity and accuracy of data, which, in turn, enhances the quality of the data used for critical business operations.
-
Future Scalability
Well-constructed data models are scalable, making it easier to adapt to changes in business size or strategy. They provide a flexible foundation that can grow with your business, accommodating new data sources and evolving analytical needs without sacrificing performance.
-
Compliance & Security
Effective data modeling helps establish clear data governance frameworks, ensuring compliance with regulatory requirements and enhancing data security across the organization.
Partner with us to boost decision-making and strategy
Transform your data into a strategic asset for informed business decisions.
Book a ConsultationWhy Choose Us
#1 Data Modeling Services
At Dot Analytics, our extensive experience in data modeling spans multiple industries, enabling us to deliver customized, impactful solutions that cater to specific business needs.
Industry-Specific Expertise
-
E-commerce
Enhancing customer experience and optimizing conversion rates through detailed consumer behavior analysis and data modeling insights.
-
iGaming
Maximizing player engagement and profitability through game performance and user interaction studies supported by robust data models.
-
Web 3.0
Driving innovation in decentralized platforms with user behavior and network activity analytics supported by comprehensive data modeling.
-
IoT Analytics
Enhancing device functionality and service delivery with real-time data processing, predictive maintenance, and effective data models.
-
Crypto
Offering market trend analysis and investment insights for cryptocurrency platforms using sophisticated data models.
-
Social Discovery
Refining matching algorithms and increasing user interaction with deep user behavior insights and data modeling techniques.
-
Healthcare
Improving patient outcomes and operational efficiencies with predictive analytics and regulatory compliance support through advanced data modeling.
-
Video Streaming
Tailoring content strategies and improving viewer retention through consumption pattern analysis and data modeling.
-
CBD Analytics
Navigating regulatory challenges and consumer trends to optimize marketing and product development with strategic data modeling.
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 modeling
Through these engagements, Dot Analytics Agency has not only addressed specific challenges but also set new benchmarks for success in the digital analytics landscape.
-
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
-
Voluum
-
Looker Studio
-
Google Analytics 4
-
Google Tag Manager
-
Python
-
dbt
-
Cloud Run
-
Vertex AI
-
-
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
-
Google Analytics 4
-
Google Tag Manager
-
BigQuery
-
Looker Studio
-
Python
-
Cloud Run
-
Virtual Machine
-
-
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
-
BigQuery
-
Looker Studio
-
Google Spreadsheet
-
Google Analytics 4
-
Google Tag Manager (Web and Server-side)
-
-
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
-
Conviva
-
BigQuery
-
Excel
-
Splunk
-
Google Spreadsheets
-
Slack
-
-
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
-
Looker Studio
-
Google Analytics 4
-
Google Tag Manager
-
BigQuery
-
-
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
-
Shopify
-
Looker Studio
-
Google Tag Manager
-
Google Analytics 4
-
Python
-
Fivetran
-
Vibe
-
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)
Used Technology
-
Voluum
-
Looker Studio
-
Google Analytics 4
-
Google Tag Manager
-
Python
-
dbt
-
Cloud Run
-
Vertex AI
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)
Used Technology
-
Google Analytics 4
-
Google Tag Manager
-
BigQuery
-
Looker Studio
-
Python
-
Cloud Run
-
Virtual Machine
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
Used Technology
-
BigQuery
-
Looker Studio
-
Google Spreadsheet
-
Google Analytics 4
-
Google Tag Manager (Web and Server-side)
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
Used Technology
-
Conviva
-
BigQuery
-
Excel
-
Splunk
-
Google Spreadsheets
-
Slack
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)
Used Technology
-
Looker Studio
-
Google Analytics 4
-
Google Tag Manager
-
BigQuery
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
Used Technology
-
Shopify
-
Looker Studio
-
Google Tag Manager
-
Google Analytics 4
-
Python
-
Fivetran
-
Vibe
our Testimonials
Hear from our customers about their experiences with us
-
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
-
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
-
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
-
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
-
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
-
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
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
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
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
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
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
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
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.
-
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.