Data Analytics Consulting Services
Dashboards people trust and analytics workflows that drive decisions
What is Data Analytics Consulting?
Data analytics consulting companies provide this strategic service designed to help organizations extract maximum value from their data. Through a mix of technology, business strategy, and processes optimization, analytics consultants firms identify opportunities, fix inefficiencies, and implement data-driven solutions tailored to specific business goals.
At Valiotti Data, data analytics consulting firm, our services go beyond dashboards. We work closely with our clients’ business teams to improve infrastructure, ensure data quality, and embed analytics into your decision-making processes. For teams ready to go further, our AI-powered data analytics service adds natural-language querying and automated insights on top of your existing data infrastructure.
Benefits of Data Analytics Services
Resource Optimization
Detection of Data Flow Flaws
Clear Action Plan
Problems & Solutions
Inefficient Data Infrastructure
We provide tailored recommendations to enhance performance, scalability, and cost-efficiency.
Poor Data Quality
We assess your data quality and propose solutions to cleanse, standardize, and validate your datasets.
Lack of Data-Driven Culture
We help build internal alignment, upskill teams on data and analytics use, and set up the systems to foster a data-first culture.
Roadmap
Planning and Preparation
Requirements Gathering
We interview your team to understand your unique challenges, goals, and requirements.
Data Assessment
We evaluate the available data sources to ensure they are suitable for machine learning and assist in acquiring and structuring the data.
Feature Selection and Engineering
Our experts identify and optimize the most relevant data features, or variables, to enhance the performance of machine learning models.
Model Development and Evaluation
Algorithm Selection and Model Architecture
We choose the ML algorithms and design model architectures that best align with your problem domain and data characteristics.
Model Training and Evaluation
The selected model undergoes extensive training and evaluation processes, ensuring it meets the required performance standards.
ML Flow and Version History Creation
We create a systematic history of model versions and their associated data to ensure transparency, reproducibility, and effective model management.
Deployment, Monitoring, and Knowledge Transfer
Model Deployment
After we’ve made sure the trained ML model meets performance standards, it is deployed and integrated into your systems and applications.
Optimization and Maintenance
We optimize model hyperparameters to ensure its reliability and monitor the model performance to spot areas for improvement.
Knowledge Transfer
We provide comprehensive training and knowledge transfer on model interpretation and utilization.
Built to remove every barrier
Month-to-Month
No long-term contracts. Stay because the results speak for themselves, not because you're locked in. Cancel with 30 days notice.
NDA from Day One
Your data, strategies, and competitive intelligence stay confidential. Mutual NDA signed before any engagement begins.
First 30 Days Guarantee
If we haven't delivered at least 3 actionable data wins in the first 30 days, the first month is on us. No questions asked.
Your IP, Always
All dashboards, pipelines, documentation, and code belong to you. Full knowledge transfer is built into every engagement.
US & EU Time Zones
Core team operates across EST-PST and CET. Async updates daily. Sync meetings on your schedule, not ours.
Transparent Reporting
Weekly progress updates with measurable outcomes. You'll always know exactly what we're working on and why it matters.
Not sure where to start?
Take our 5-minute CDO Healthcheck. Get a personalized scorecard across data ownership, metrics culture, and trust in data, before committing to anything.
Your data stays secure
Mutual NDA
Signed before any data access. Your competitive intelligence stays confidential.
SOC 2 Compatible
Our processes align with SOC 2 Type II controls. We work within your existing compliance framework.
GDPR & CCPA Ready
All data handling follows privacy regulations. We never store client data on personal devices.
Your Infrastructure
We work inside your systems — your cloud, your tools, your access controls. Nothing leaves your perimeter.
What our clients say
"It has been a pleasure working with Nikolai. First off, he tries to learn about the project in great detail to understand its needs. Secondly, the terms arranged in advance are almost always met, if there are no pitfalls along the way. And thirdly, you can come up to Nikolai with an idea and he knows how to turn it into a real project. That’s my best bet!"
“Since about six months, Nikolay and his team are doing tremendous work for us. They're sharp, professional, efficient, and excellent communicators. They managed to bring clarity in a very complex and chaotic environment, with a patient, yet ambitious pace. Nikolay is also very present when needed, but can rely on his strong team. I definetly recommend!”
“Valiotti Data has enabled us to react much more quickly and appropriately to signals and to improve day-to-day operational outcomes.”
"We’ve worked directly with Nikolay on multiple long and short-term projects. The results were outstanding! Nikolay and his team delivered fantastic results in a professional manner for a global SaaS company based in Europe with +800 employees. They possess technical skills that are extremely hard to find in the tech market today. Valiotti helped us build our global data platform to empower customer-facing analytics products that excelled. Documentations, code-quality and cross-communications were very professional. I’m looking forward to my next project with Nikolay and his team!"
Results we've delivered
A $12M ARR SaaS platform had zero product analytics and no A/B testing capability. We built their experimentation infrastructure from scratch — going from 0 to 15 experiments per month, improving activation rate by 23%, and cutting feature validation time by 40%
Unified 8 data sources into BigQuery for a government-funded nonprofit. Automated reporting eliminated 15+ hours/month of manual work and reduced board report prep from 2 days to automated generation
Built cohort-level ROAS tracking for a P2P investment platform. Channel-level visibility enabled confident 2-3x scaling of marketing spend with measurable ROI per acquisition channel
Replaced fragmented Excel files with 7+ real-time dashboards and 100+ standardized KPIs for an HVAC company. Reduced infrastructure costs 3-5x vs. Fivetran, estimated $120K/year in reporting savings
Automated role-based dashboards for insurance executives, marketing, and agents. Eliminated 10+ hours/week of manual spreadsheet reporting and created a single source of truth across CRM, Ads, and GA4
Advanced dashboards and real-time data tools, enabling actionable insights into user behavior, revenue trends, and performance metrics for smarter decision-making
Comprehensive Reports Allow an EdTech Startup to Analyze User Behavior and Refine Its Product Strategy
Refined an ETL Project for Flawless Performance and Seamless Data Workflows
Frequently asked questions
How long does a data analytics consulting project take?
It depends entirely on scope. A single executive dashboard with 5-7 KPIs on top of an existing data source takes 2-4 weeks from kickoff to delivery. A full analytics stack — data warehouse setup, ETL pipelines, a suite of dashboards, and team training — typically runs 2-4 months. For ongoing analytics support, most of our engagements are structured as 3-6 month retainers where we progressively build out your analytics capabilities. We always start with a 1-2 week discovery phase to audit your existing data, identify quick wins, and define the full project roadmap before committing to timelines.
What tools do you use for data analytics?
We are tool-agnostic and choose based on your team’s technical maturity, existing stack, and budget. For visualization, we work with Tableau, Power BI, Metabase, and Looker Studio. For data warehousing, we typically recommend BigQuery for Google-centric teams or Snowflake for more complex multi-source environments. For ETL and data pipelines, we use tools like Fivetran, Airbyte, or dbt depending on your needs. If you already have tools in place, we work with what you have rather than forcing a migration — unless your current setup is actively holding you back.
How much does data analytics consulting cost?
A focused dashboard project — connecting your data sources, building 3-5 dashboards, and training your team — typically costs $5K-$15K as a fixed-scope engagement. Ongoing analytics support, where we act as your embedded analytics function handling ad hoc analysis, dashboard maintenance, and new reporting needs, runs $10K-$30K per month depending on hours and complexity. For companies that need strategic data leadership alongside execution, our Fractional CDO model starts at $10K/month. We always scope projects with a clear deliverables list and timeline so there are no surprises.
Do you work with companies that don't have a data team?
Yes — this is actually one of our most common scenarios. Many companies at the $3M-$30M revenue stage have outgrown spreadsheets but are not ready to hire a full data team. We step in as your entire data function: setting up the infrastructure, building dashboards, running analyses, and presenting insights to leadership. Through our Fractional CDO offering, we provide senior data leadership embedded in your team — attending standups, participating in planning, and driving data-informed decisions — without the $250K+ cost of a full-time Chief Data Officer plus a team underneath them.
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