Expertise
Our Data Modeling Approach
At Dot Analytics, we build data models from scratch for new ventures or redesign your existing system to create the most efficient, streamlined framework possible.
Our data modeling services combine all your key information, making it easy to understand and use to grow your business.

Data Modeling Consulting Services
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Centralized Integration
We bring together data from your CRM, ERP, social media, and web analytics into one easy-to-access repository, so you always have a clear view of your business.
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Custom Models
We design tailored data models that fit your unique operations, ensuring you receive reliable and actionable insights every time.
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Real-Time Streams
We capture and process live data flows, empowering you to make quick, informed decisions as market conditions change.
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Unified Marketing Insights
We consolidate your data to help your marketing team understand customer behavior, refine campaigns, and drive better engagement.
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Scalable Architectures
We build robust, compliant systems that not only meet today’s needs but also grow with your business, keeping you ahead of the curve.

We don’t just understand data, we understand your industry
Our expertise in key industries allows us to deliver solutions that are most suitable and widely used in your niche.
Our Data Modeling Process
How We Build Your Data Model
We take your initial ideas into a practical data model that works for your business.
Here’s a simple, step-by-step look at how we design, test, and refine your model to ensure it meets all your needs:
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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.
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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.
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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.
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4
Deployment
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.
Partner with us to boost decision-making and strategy
Transform your data into a strategic asset for informed business decisions.
Book a ConsultationBenefits of Our Services
Advantages of Data Modeling
Data modeling organizes your data into a clear and structured format, you gain better control over your information and empower smarter decision-making. This means fewer errors, smoother operations, and a clearer path for growth.
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Single Source of Truth
We consolidate all your data into one reliable repository, ensuring every team member accesses the same accurate information.
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Data-Backed Decisions
With clear, well-organized data, you gain actionable insights that help you make smart, strategic choices.
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Cost Savings
Minimize manual errors and redundant processes, saving both time and resources that can be reinvested in growing your business.
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.
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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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Testimonials
What clients say about our
Marketing Analytics Consulting
faq
Looking for help? Here are our most frequently asked questions
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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.