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 ex

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 forci

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 alway

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

Data Analytics Consulting Services

Spot problems and inefficiencies and find out how to fix them to foster a data-driven organizational culture.

Benefits of Data Analytics Services

Resource Optimization
Detection of Data Flow Flaws
Clear Action Plan

Problem

Inefficient Data Infrastructure

Slow data retrieval, unclear architecture, and high operational costs.

Solution

We provide tailored recommendations to enhance performance, scalability, and cost-efficiency.

Problem

Poor Data Quality

Inaccurate, outdated, or inconsistent data.

Solution

We assess your data quality and propose solutions to cleanse, standardize, and validate your datasets.

Problem

Lack of Data-Driven Culture

Without the right tools or mindset, valuable insights go unused.

Solution

We help build internal alignment, upskill teams on data and analytics use, and set up the systems to foster a data-first culture.

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 Analytics, 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.

Data Analytics Consulting Services

Turn clickstreams into clarity, improve performance where it matters most.

Wise use of data no matter the budget

Get reliable forecasts to optimize resources, meet demand, and stay ahead of risks

Turn complex data into future-ready strategies

Power up your growth with our end-to-end analytics consulting services

We are certified partners of

Roadmap

1

Planning and Preparation

We interview your team to understand your unique challenges, goals, and requirements.

We evaluate the available data sources to ensure they are suitable for machine learning and assist in acquiring and structuring the data.

Our experts identify and optimize the most relevant data features, or variables, to enhance the performance of machine learning models.
2

Model Development  and Evaluation

We choose the ML algorithms and design model architectures that best align with your problem domain and data characteristics.

The selected model undergoes extensive training and evaluation processes, ensuring it meets the required performance standards.

We create a systematic history of model versions and their associated data to ensure transparency, reproducibility, and effective model management.
3

Deployment, Monitoring,  and Knowledge Transfer

After we’ve made sure the trained ML model meets performance standards, it is deployed and integrated into your systems and applications.

We optimize model hyperparameters to ensure its reliability and monitor the model performance to spot areas for improvement.

We provide comprehensive training and knowledge transfer on model interpretation and utilization.

Reviews

“

“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!”

Leo Dubert

Mentorshow

“

“Valiotti Analytics has enabled us to react much more quickly and appropriately to signals and to improve day-to-day operational outcomes.”

Timo Mennle

Worldcoin

“

"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!"

Eyas K

Aircall Product Manager

Our stack

Data Warehousing

Data Ingestion

Data Transformation

Data Visualization

Industries We Work With

We offer a variety of tailored and turnkey data analytics services and solutions, including Data strategy for enterprise and Data warehouse strategy.

EdTech

Enhanced student journeys
Maximized marketing ROI
Boosted conversions
Refined course content

FinTech

Mitigated risks
Optimized trading algorithms
Managed regulatory compliance
Enhanced customer experience

SaaS

Increased revenue through

Enhanced app interaction
Feature engagement
User data analysis

eCommerce & Marketplaces

Optimized inventory management
Improved marketing efficiency
Boosted conversion rates

GameDev

Harnessed player insights
Elevated engagement
Boosted retention

Mobile Apps

Enhanced user experiences
Optimized development processes
Boosted conversion rates

HealthTech

Improved CRM segmentation
Automated billing overview
Boosted operational efficiency

Our Dream Team

Nick Valiotti

СЕО

Regina

Analytics Team Lead

Egor

Lead Data Engineer

Maksim

Senior Data Engineer

Denis

Senior Data Analyst

Elvina

Project Manager

Olesya

Lead Data Analyst

30+ seasoned specialists

Data Engineers
Data Analysts
Marketing
Management

“It has been a pleasure working with Nikolai. First off, he tries to learn about the project in great detail to understand its needs. “

Alexander Dolmatov,

Chief Marketing Officer
View Case Study

Case Studies

Mentorshow

Comprehensive Reports Allow an EdTech Startup to Analyze User Behavior and Refine Its Product Strategy

Read more
Wing

Data-rich Tableau dashboards allowed the telecom provider reduce shipping times across the US

Telecom

USA

Read more
AI Sales

Advanced analytics boosted AI Sales with revenue tracking, AI vs. human performance insights, real-time alerts, and improved bot strategies for higher efficiency.

Read more

FAQ

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.
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.
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.
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.

Our Blog

In-House vs. Outsource Data Analytics: What to Bet On in a Crisis?

Extreme times lead to extreme (and often non-conventional) solutions for resource optimization. Data analytics, which may seem like an optional add-on rather than a…

Read more
What is data analytics, how it benefits your business, and how to build it—a comprehensive guide for business owners

Leveraging data analytics is crucial for gaining a competitive edge and staying agile in the face of market changes. This article delves into the…

Read more
What Is a Fractional CDO? Complete Guide for 2026

Learn what a fractional CDO does, when to hire one, and how much it costs. A guide from a working fractional chief data officer for $5-50M companies.

Read more

Data Analytics Consulting Services