We thoroughly analyze the current data sources and tools used by your company and find ways to optimize them.
We create solutions based on a company’s tech stack and help implement additional systems.
We will build your analytical data warehouse and a data model for analytical DWH. We will help you select the most efficient ETL technologies and configure them.
We use Kafka and Clickhouse to build microservices that perform data collection for you.
We build key metrics for data tracking, define calculation rules, automate reporting, and visualize your data.
We create insightful dashboards with key parameters and set up alerts for tracking essential changes and updates.
We can help you build a forecast or recommendation system, predict customer churn, segment your customers, and develop any data science model.
We successfully solved the problem of predicting customer LTV for one of our projects.
Valiotti Analytics helped us build a new data pipeline from scratch, replacing legacy tools such as Pentaho IDE with modern ones. They suggested the implementation of a modern data warehouse architecture for analytics and tuned instances to work with software. They also reacted quickly and introduced a huge number of improvements in the data analysis structure of our company. Moreover, several useful analytic dashboards were built for us during the project. We appreciate their approach as they dove deeply into the crucial details and understood our business constraints to react to data failure immediately. In order to support the new data stack, the team helped us build a monitoring system for the data routine. We are very pleased to work with Valiotti Analytics.
Rostyslav Klopochuk
Twinero Country Manager, Twinero
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!
Valiotti Analytics has wonderful people and professionals in their team. Our company required technical assistance in maintaining and developing the existing data warehouse. Data experts from Valiotti quickly grasped the essence of the project and since then the team has been the strongest support for our analytics department. Many tests have been successfully passed and no less awaits us ahead. We sincerely look forward to further collaboration with such an excellent team. Thanks very much!
Kirill Vassiljev
Head of Business Intelligence, Betpawa, betPawa
Since about since 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!
Léo Dubert
Co-founder | MentorShow, MentorShow
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, Aircall
Nikolay’s team has been phenomenal to work with over the past few months. They were able to put together some wonderful insights, reports, and Tableau dashboards for our management teams across various departments. We look forward to working with Nikolay’s team in the future on additional data science and analysis projects.
We are grateful to Valiotti for the prompt delivery of our internal analytical system based on Plotly Dash. Despite the complexity of the task and the high level of ambiguity, we were happy to work with a team that knows how to effectively break down a task into components and acknowledges the right priorities in the initial project stages.
Synergentic’s CEO, Synergetic
“Valiotti Analytics has integrated with our data science team to set up dashboards for business intelligence and monitoring, and they advised on the integration and processing of data from heterogeneous sources. This has enabled us to react much more quickly and appropriately to signals and to improve day-to-day operational outcomes.
We especially appreciate their robust approach to eliciting our requirements and iterating on these. At the same time, they understood our need to deploy intermediate solutions quickly. They always had an ace up their sleeve when it came to tackling any snags, such as handling inconsistencies and load time optimization.
We look forward to continue working with Valiotti Analytics”.
Product Star company sincerely thanks Valiotti Analytics team for completing analytics tasks with respect to all our requirements. Collaboration was comfortable because we were surrounded with support, consulting and high-level suggestions.
The analytics have presented the results in a detailed dashboard with key metrics. We wish the Valiotti Analytics team further growth!
Nikolai Valiotti
Founder, CEO
SBPU, Ph.D
Nikolai Valiotti
Founder & Data Consultant,
Valiotti Analytics
Work experience
I have been working in data science and data analytics since 2009. At the beginning of my career, I worked for several large companies (Lenta, Yota, Ulmart, and Baltika) and then remotely for Tapcore/Airpush.
Data stack
During this time, I studied and worked with all kinds of databases and SQL notations: MSSQL, MySQL, PostgreSQL, Oracle, Redshift, Snowflake, Vertica, Clickhouse, BigQuery, Cloudera Impala, and others, as well as various analytics tools such as Tableau, Oracle BI, PowerBI, Redash, Mode, Looker, Metabase, and Superset. Thus, over those years I gained a very good insight into what a modern data stack looks like and how it works.
Scientific achievements
I have created various machine learning models in R and Python for classification, forecasting, regression, and solving clustering problems. Using all this knowledge, I defended my PhD thesis on the development of a neural network model for evaluating business indicators (an analogue of the model for analyzing interventions using ARIMA).
Status quo
As a result of my work experiences and educational path, in 2019, I founded Valiotti Analytics: a company that consults and creates analytics stacks for modern mobile and digital startups. In 2020 I had a burning desire to refresh the fundamentals of my education. Even though I am already a PhD, I applied for the Online Master of Science in Analytics (OMSA) programme at the Georgia Institute of Technology, and now I belong to the community with the bee mascot!
Anna Valiotti
Chief Marketing Officer
SPBU
Regina Shaidullina
Data Analyst
ITMO University
Svetlana Bekker
Data Journalist
HSE
Maria Avdeeva
Data Analyst
ITMO University
Konstantin Vlasov
Junior Data Analyst
ESSTU
Anna Matiushina
Project Manager
VSU
Elizaveta Mazurova
Data Engineer
ITMO University
Egor Satiukov
Junior Data Analyst
SPbPU
Ilia Khutorian
Data Analyst
SPbPU