# Alterdata
Alterdata Reviews (5), Pricing, Services & Verified Ratings

- 5.0 out of 5 average review rating
- 1 connections joined Alterdata's Network

[Visit Website](https://alterdata.com/pl/)
[Get a Custom Proposal](https://clutch.co/profile/alterdata)

**Your Data Team as a Service**
We founded Alterdata so that companies can focus on achieving their business goals while our team takes care of the complex analysis of their data.

Since 2017, we have been designing and implementing innovative data engineering and analytics solutions that increase productivity and support accurate business decisions.

Our experience in various industries allows us to provide companies with tools that solve key problems, drive rapid growth, and provide a competitive advantage.

## Company Information
- Minimum project size: $1,000+
- Hourly rate: $50 - $99
- Number of employees: 50 - 249
- 1 Locations:
  - Warszawa, Poland (Headquarters)

- Founded in 2016



## Services, Focus Areas, Industries, and Clients

### Service Lines

- 50% BI & Big Data Consulting & SI

- 25% Cloud Consulting & SI

- 5% Business Consulting

- 5% Corporate Training & Coaching

- 5% Custom Software Development

- 5% Generative AI

- 5% IT Managed Services


### Focus Areas

- Cloud Computing Focus:
    - 80% Google Cloud
    - 15% Azure Cloud Consulting & Implementation
    - 5% AWS Cloud Consulting & Implementation

- BI & Big Data Solutions:
    - 50% Other BI & data solutions
    - 30% Microsoft BI & data solutions
    - 20% Tableau

- BI & Big Data Focus:
    - 40% Other BI & analytics
    - 30% Operations & process improvement
    - 20% Marketing analytics
    - 10% Data Compliance, Fraud & Risk Management

- AWS Consulting Services:
    - 15% AWS Machine Learning
    - 15% AWS Managed Cloud
    - 10% AWS Analytics
    - 10% AWS Applications
    - 10% AWS DevOps
    - 10% AWS Development
    - 10% AWS IoT
    - 10% AWS Migrations
    - 10% AWS Security

- Azure Consulting Services:
    - 15% Azure Analytics
    - 15% Azure DevOps
    - 15% Azure Management & Governance
    - 15% Azure Migrations
    - 10% Azure AI & Machine Learning
    - 10% Azure Development
    - 10% Azure IoT
    - 10% Azure Security


### Industries

- 5% Media

- 30% Advertising & marketing

- 10% Retail

- 5% Utilities

- 5% Automotive

- 5% Manufacturing

- 15% eCommerce

- 5% Energy & natural resources

- 5% Telecommunications

- 5% Supply Chain, Logistics, and Transport

- 5% Medical

- 5% Gaming


### Clients

- 20% Small Business (<$10M)

- 60% Midmarket ($10M - $1B)

- 20% Enterprise (>$1B)


## Pricing Snapshot

Average rating for cost based on this provider's reviews: 5.0 out of 5


**What Clients Have Said** *(This summary is based on verified Clutch reviews.)*:

Alterdata offers competitive pricing that aligns with client budgets, providing good value for cost. Clients appreciate their efficient project management and effective communication, often highlighting affordability as a key factor in their selection.


**Most Common Project Size**: $50,000 to $199,999 based on 4 reviews
*(Pricing information for this provider is based on reviews where the project size was available.)*

### Pricing by Service

- UX/UI Design: $50,000 to $199,999 based on 1 review

- Custom Software Development: $50,000 to $199,999 based on 1 review

- AI Development: $50,000 to $199,999 based on 1 review

- BI & Big Data Consulting & SI: $10,000 to $49,000 based on 1 review

- Generative AI: $50,000 to $199,999 based on 1 review

- Other IT Consulting and SI: Less than $10,000 based on 1 review

- Mobile App Development: Confidential based on 1 review



## Reviews

Clutch investigates each reviewer's identity and work history. Every review goes through a rigorous, human-led verification process to confirm the reviewer's identity, and reviews that we verify are visibly marked as 'Verified' so you can trust that they come from a real client. [Learn More](https://help.clutch.co/en/knowledge/how-clutch-verifies-reviews)


### Alterdata Review Insights

Overall Review Rating: 5.0
- Quality: 5.0
- Schedule: 4.8
- Cost: 5.0
- Willing to Refer: 5.0



### Top Mentions

- Knowledgeable (2 mentions)

- Accessible (1 mentions)

- Communicative (1 mentions)

- Easy to reach (1 mentions)

- Efficient (1 mentions)

- Exceptional results (1 mentions)

- Flexible (1 mentions)

- Helpful (1 mentions)

- High-quality work (1 mentions)

- Openness (1 mentions)

- Well-executed projects (1 mentions)



### Review Highlights

**Flexibility and Client-Centric Approach**
Clients appreciate Alterdata's flexibility and dedication to meeting their specific needs. The team is praised for being attentive, taking responsibility for deliverables, and maintaining open lines of communication throughout the project lifecycle.

**Clear Communication and Budget Management**
Alterdata is recognized for clear communication and effective budget management. Regular meetings and use of management tools ensure transparency and alignment with client expectations, contributing to a smooth workflow.

**Technical Expertise in Data Integration**
Alterdata possesses strong technical knowledge in integrating data from various systems into a unified data warehouse. This expertise aids clients in achieving seamless data synchronization and improved operational reporting.

**Potential Overstaffing Concern**
One client noted that the number of personnel assigned to certain project tasks could be reduced to streamline communication and clarify project requirements. This suggests a potential area for resource optimization.

**Proficient in AI and Automation Solutions**
Alterdata excels in designing and implementing AI-driven solutions to automate document processing, significantly reducing manual workload and improving data management. This expertise is particularly beneficial for companies aiming to enhance operational efficiency and data accuracy.

**Need for Frontend Development Clarity**
A client expressed a desire for better visibility into the frontend development process, particularly regarding resource allocation. This feedback indicates a need for improved transparency and communication in this area.

**Effective Data Analysis and Visualization**
Alterdata's team demonstrates strong capabilities in data analysis and creating custom dashboards, which help clients identify profitable markets and improve business decisions. This skill is valuable for companies handling large volumes of data from multiple sources.

**Strong Project Management Skills**
Clients commend Alterdata for their agile and responsive project management approach. The presence of a project manager and structured communication ensure clarity and effective progression, contributing to successful project outcomes.


### Alterdata Reviews


#### Gen AI Automation Solution Dev & Design for Telecomms Co
**The Project**
- Services: AI Development, Generative AI, UX/UI Design
- Project size: $50,000 to $199,999
- Project length: Sep. 2024 - Sep. 2025

**Project Summary**: Alterdata designed, developed, and implemented a generative AI solution to automate document processing for a telecommunications company. The team's solution classified documents and extracted key data.

**Review Rating**: 5.0
- Quality: 5.0
- Schedule: 5.0
- Cost: 5.0
- Willing to Refer: 5.0

**The Reviewer**
Network Integration Manager, Nexera Sp. z o. o.
- Industry: Telecommunications

- Client size: 51-200 Employees
- Review Type: Online Review
- Verified

**The Review** — Jan 27, 2026

**Feedback Summary**: Alterdata delivered a scalable and secure system that significantly reduced manual workload and improved document data management. The team's solution reduced document processing time by 2,000 hours and processed nearly 30,000 documents. Alterdata's team was smart, agile, and attentive.
""We felt comfortable and secure throughout the project, despite our limited experience in the project's area.""

**BACKGROUND**
Please describe your company and position.I am the Network Integration and Maintenance Manager of Nexera Sp. z o. o.Describe what your company does in a single sentence.Nexera is one of the leading wholesale telecommunications operators in Poland, developing fiber-optic access infrastructure and serving operators such as Orange, T-Mobile, and Play.Nexera is responsible for the development and management of key documentation related to the construction and operation of the network.

**OPPORTUNITY / CHALLENGE**
What specific goals or objectives did you hire Alterdata to accomplish?We started our cooperation with Alterdata to design and implement a solution that automates the processing and analysis of large volumes of documents using AI technologies. Our main objectives were to significantly reduce manual work, accelerate document classification and data extraction, increase control over contractual obligations, and improve data quality and accuracy. We also wanted to enable our teams to focus on higher-value business tasks instead of time-consuming document analysis.

**SOLUTION**
How did you find Alterdata?ReferralWhy did you select Alterdata over others?Pricing fit our budgetGreat culture fitGood value for costHow many teammates from Alterdata were assigned to this project?6-10 EmployeesDescribe the scope of work in detail. Please include a summary of key deliverables.The scope of work included the design and implementation of a solution for automating document processing using Generative AI technologies. The project started with an analysis of business processes and document types, followed by the development of a system for automatic document classification, key data extraction, and result validation. The solution was integrated with the client’s internal systems and tailored to the specific types of documents used within the organization.Key project deliverables included: – automatic classification and processing of tens of thousands of documents, – extraction of key information (including contractual and cost-related data), – automation of workflows and elimination of manual document analysis, – quality control and process monitoring mechanisms, – preparation of the solution for further expansion and support of new document types.

**RESULTS & FEEDBACK**
What were the measurable outcomes from the project that demonstrate progress or success?The entire solution was delivered as a scalable and secure system that significantly reduced manual workload and improved document data management across the organization.The project delivered clear and measurable business results.Thanks to the solution implemented by Alterdata, document processing time was reduced from approximately 2,400 hours of manual work to about 400 hours, allowing the team to reclaim over 2,000 working hours. The system enabled the automatic processing of nearly 30,000 documents, significantly reducing operational errors while improving data consistency and overall data quality.Additionally, the organization gained full control over data extracted from documents, including better visibility into contractual obligations and costs, as well as the ability to quickly scale the solution and handle new document types without increasing the size of the operational team.Describe their project management. Did they deliver items on time? How did they respond to your needs?Project delivered on very smart and agile way, in accordance do our needs. Moreover, we get real help from Alterdata, moving this project forward. Solutions proposed by Alterdata were optimized and effective.What was your primary form of communication with Alterdata?Virtual MeetingWhat did you find most impressive or unique about this company?We felt comfortable and secure throughout the project, despite our limited experience in the project's area. Outstanding care offered by Alterdata project leader was more than enaugh to compensate our lack of experience in project area.Are there any areas for improvement or something Alterdata could have done differently?We are satisfied with the result achieved. Maybe the number of persons dedicated by Alterdata to manage particular parts of project could be reduced to avoid time and effort needed to clarify our needs and work-specific definitions.


---

#### App Development for Media Agency
**The Project**
- Services: Custom Software Development
- Project size: $50,000 to $199,999
- Project length: Nov. 2020 - June 2021

**Project Summary**: alterdata.io provided application development support for a global media agency. The project's main goal was to integrate Excel tools into a new web application while maintaining its key functionalities.


**Review Rating**: 5.0
- Quality: 5.0
- Schedule: 4.0
- Cost: 5.0
- Willing to Refer: 5.0

**The Reviewer**
Managing Partner, MediaCom
- Industry: Advertising & marketing

- Client size: 201-500 Employees
- Review Type: Online Review
- Verified

**The Review** — Apr 29, 2021

**Feedback Summary**: Thanks to alterdata.io's efforts, the client saw a boost in their business processes and overall efficiency. They commend the team for taking charge and being flexible every step of the way. Also, alterdata.io was easy to communicate with and was always mindful of the budget.
""I really appreciated the company's efficiency and flexibility."
"

**BACKGROUND**
Please describe your company and your position there.

I work at MediaCom - a media planning and buying company. I am responsible for the research department (about 40 people). We focus on analytical projects aimed at increasing the effectiveness of our clients' activities (MMM, data science, analytical consulting, and consumer research)

**OPPORTUNITY / CHALLENGE**
For what projects/services did your company hire alterdata.io, and what were your goals?

The main purpose of the project was to move existing excel tool to web application. As the excel tool we own has a significant impact on our work, we wanted to keep all of its functionalities – algorithms, pre- and postprocessing of data, results reporting – in the new application. The main goal of the project was to create an online tool, maintaining core functionalities from the offline version, with the use of already-created Python algorithm. On top of the optimization and processing abilities we wanted to obtain refined dashboard screens for the results of our analyses, and, ideally, make the algorithm faster (vs excel and its first version).

**SOLUTION**
How did you select alterdata.io and what were the deciding factors?

We started working together a little earlier with the support we needed for cloud solutions. During this time, we could experience how effectively Alterdata deals with complex problems. It was certainly one of the main factors influencing their selection to the shortlist of potential suppliers.

Describe the scope of work in detail, including the project steps, key deliverables, and technologies used.

Once our cooperation started, we conducted a series of discovery meeting to fully understand the project’s scope and its objectives. During the meetings we agreed on the scope of consecutive iterations for the project and divided the work into specific threads (backend – calculations, backend – optimization, frontend). Depending on the thread, we held additional meetings to develop needed solution. For front, we went into iterative mode: we held meetings discussing our requirements for upcoming screens, and within a week or two we met again to feedback created screens and discuss next.

This way, we saw the progress on front in quite a timely manner. For backend, we held meetings discussing offline tool calculations and formulas, after which the team developed solution that came back to us for testing and approval. Using this approach, we arrived at first, mockup version about 1,5-2 months from works’ beginning (dashboard part), within the next month - second (calculation) version, and the optimization part after another month. Between the versions, we were constantly polishing the existing parts. Next, we continued with what we can call maintenance areas of the project.

How many people from the vendor's team worked with you, and what were their positions?

In total, we worked with 3 backend developers and 1 frontend developer. Initially, the setup was to work with everyone individually, but with time one of the backend developers took on a role of project manager, merging multiple areas of work. Apart from contact with developers, we stayed in touch also with company’s management to discuss budgeting topics.

**RESULTS & FEEDBACK**
Can you share any measurable outcomes of the project or general feedback about the deliverables?

Already after publishing the calculation version of the project, we felt comfortable presenting the product to our internal stakeholders and potential new ones. We have received a positive feedback to the work done: the people that had previous experience with the excel tool saw the progress in terms of speed and clarity of results presentation. The ones not accustomed with the tool were really appreciative towards its look and easy navigation, as well as responsiveness to their business needs. With the positive feedback and new developments, we feel comfortable presenting the tool to external stakeholders as well.

Describe their project management style, including communication tools and timelines.

I believe that introducing the stronger presence of a project manager was a good move for the overall success of the project. Although all team members have their areas of expertise, the PM presence made it possible to clarify the relation among the threads, also giving us one point of contact for agreeing on next steps and solving challenges. The majority of the team was very accessible and open to ad-hoc Teams meetings and phone calls. Apart from the structured budgeting calls we rather had a need-based communication, which was nonetheless very fluent. We also appreciate the budgeting meetings that give us a better perspective of the workflow and budget status.

As this is something that was introduced after our initiative, it may make sense to held such meetings from the beginning of every project, to communicate progress and potential risks. One area that we felt could be somewhat improved was our visibility of frontend part involvement – we have the understanding that the developer was involved in other projects, but having more clarity on the hours that could be devoted to our project (e.g. c.a. half a week, or one working day every week) could help us understand expected progress on visual part of the project. Needless to say, this is the area which is most exposed and as such easier to observe if something is, at least apparently, not progressing fast enough.

What did you find most impressive or unique about this company?

I very much appreciate the company's efficiency and flexibility, as well as the fact that working with them we felt taken care of and that we knew that they were taking responsibility for the final product they would deliver.

Are there any areas for improvement or something they could have done differently?

Nothing that would be significant.


---

#### Data Analysis for Gaming Company
**The Project**
- Services: Mobile App Development
- Project size: Confidential
- Project length: Sep. 2020 - Ongoing

**Project Summary**: A gaming company hired alterdata.io to produce analyzation of collected data from different sources of the game. The main goal was to identify what markets are profitable for the company.


**Review Rating**: 5.0
- Quality: 5.0
- Schedule: 5.0
- Cost: 5.0
- Willing to Refer: 5.0

**The Reviewer**
CTO, Chess & Checkers Games
- Industry: Gaming

- Client size: 11-50 Employees
- Review Type: Online Review
- Verified

**The Review** — Apr 8, 2021

**Feedback Summary**: The analysis had a positive impact on the company's business, leading to an ongoing partnership. alterdata.io utilizes everyday communication via Slack and weekly email to ensure an organized workflow. The team consists of talented programmers and data analysts.
""We are very pleased to work with alterdata.io."
"

**BACKGROUND**
Please describe your company and your position there.

I'm a CTO at a gaming company with around 20 employees. Currently we're developing a few mobile games that have millions of players around the world.

**OPPORTUNITY / CHALLENGE**
For what projects/services did your company hire alterdata.io, and what were your goals?

The more users we have, the more data to analyze there is. We are collecting many kinds of data - basic telemetry, user characteristics, how they behave in our apps and what they are willing to pay for. All these data comes from many different data sources and here is where Alterdata.io comes in.

**SOLUTION**
How did you select alterdata.io and what were the deciding factors?

By a recommendation from a friend. We received a good recommendation so we decided to give them a try

Describe the scope of work in detail, including the project steps, key deliverables, and technologies used.

Our main focus is to analyze monetization data and visualize it using very custom dashboards. As the data comes from many different data sources, we need to aggregate it, make consistent and, finally, analyze and present graphically to see the history, trends, geographic location relation, etc.

How many people from the vendor's team worked with you, and what were their positions?

We are constantly working with a data analyst and a programmer. Sometimes we speak to their manager when we want to start something new.

**RESULTS & FEEDBACK**
Can you share any measurable outcomes of the project or general feedback about the deliverables?

We advertise our products on many different platforms and regions using advertising campaigns. In advertising, thanks to our solution, now we can clearly see which markets are the most profitable for us and which ones create loss. Now we can, almost immediately, take an action to reduce the loss by cutting off campaigns that are not profitable, and improve the profitable ones.

Describe their project management style, including communication tools and timelines.

From time to time we speak with the manager when we want to start something new or need some architectural advice. On day-to-day basis we use Slack, Monday and e-mail to communicate and organize our work.

What did you find most impressive or unique about this company?

They have very wide knowledge on data flows and data analysis. Their team consists of very talented and communicative specialists - from programmers to data analysts.

Are there any areas for improvement or something they could have done differently?

I don't think so. We are very pleased to work with Alterdata.io.


---

#### BI & Big Data Consulting for Logistics Company 
**The Project**
- Services: BI & Big Data Consulting & SI
- Project size: $10,000 to $49,999
- Project length: Jan. 2020 - Jan. 2021

**Project Summary**: A logistics company hired alterdata.io to manage decentralized data from a couple of different operating systems into one data warehouse. The team integrated Local Road TMS based on MSSQL.


**Review Rating**: 5.0
- Quality: 5.0
- Schedule: 5.0
- Cost: 5.0
- Willing to Refer: 5.0

**The Reviewer**
IT Director, Hellmann Worldwide Logistics
- Industry: Other industries

- Client size: 501-1,000 Employees
- Review Type: Online Review
- Verified

**The Review** — Apr 2, 2021

**Feedback Summary**: The client's operational reporting has significantly improved. End clients praise the project for providing access to up-to-date data from different systems in one database. alterdata.io's technical knowledge and effective communication allowed for smooth project progress.
""The strong point of alterdata.io's team was their technical knowledge."
"

**BACKGROUND**
Please describe your company and your position there.

Hellmann Worldwide Logistics Polska Sp. z o.o. Sp. k. is part of Hellmann Worldwide Logistics Worldwide. In Poland, we have 14 branches operating in many areas of road transportation (groupage and full truck), contract logistics, sea freight, and airfreight, with the employment of over 500 people. My position is IT Director, responsible for IT infrastructure and all business-related IT activities.

**OPPORTUNITY / CHALLENGE**
For what projects/services did your company hire alterdata.io

We hired alterdata.io to help us to manage decentralized data from a couple of different operational systems (local TMS for road, central WMS for logistics, external system for sea-/airfreight) into one data warehouse. We knew the situation but needed external support to analyze data structure, different RDBMs and prepare ETL for regular data upload to Data Warehouse.

What were your goals for this project?

We wanted to have data from many different systems in one Data Warehouse database, uploaded regularly (up to 15 minutes frequency) and with the lowest workload possible (so preferably incremental/differential).

**SOLUTION**
How did you select Net Spark Solutions Pvt. Ltd. and what were the deciding factors?

I invited 3-4 companies for the RFP, presented current situation and project goals. During discussions and presentations alterdata.io convinced me by direct contact with specialists talking professional language and having common uderstanding of technical aspects of the project. Of course financial aspect played significant role as the offer was within project budget.

Describe the scope of work in detail, including the project steps, key deliverables, and technologies used.

After deciding on cooperation we prepared a plan of data integration from our operational systems, based on importance. We started by integrating Local Road TMS based on MSSQL, which was relatively easy. Then we focused on the financial system, based on IBM DB2. The International Road based on IBM DB2 as well. There were also couple of minor integrations based on Excel files.

What is the team composition? 

The project team was built on 2 sub-teams: alterdata.io's 3 persons (project management and developers) and Hellmann local team of key users responsible for particular source systems. I was the coordinating manager for both sub-teams as well as a technical consultant and data warehouse administrator.

**RESULTS & FEEDBACK**
Can you share any measurable outcomes of the project or general feedback about the deliverables?

With alterdata.io's work, we managed to achieve goals for the project. Businesses now have access to the most up-to-date data from different systems in one database. Operational reporting was improved significantly.

It is very hard to demonstrate figures. Data Warehouse is now ca. 300 GB in size, operating daily on +/- 10 GB data exchange. External systems are synced with max 15 minutes delay (including financials).

There are already many (+/- 100) reports running regularly or on user demand with data accuracy and frequency.

There is a lot of positive feedback from business areas using the most up-to-date reports based on DWH.

How did the vendor perform from a project management standpoint?

For project management we used Redmine project management system hosted in our company, but alterdata.io's team fitted to use this standard.

There were tasks assigned to sub-teams members with reporting of the progress and documenting changes.

Time tracking module was used to report all the time spent, which was base for cost management.

Regular meetings (calls) were organized to manage progress and take decisions on the project steps/phases.

What did you find most impressive about them?

The strong point of alterdata.io's team was their technical knowledge related to different RDBMs and MSSQL Integration Services.

Combining direct contact with their team, explaining the technical aspects of single integration was providing smooth project progress and final goals achievement.

Are there any areas they could improve?

From the project perspective, there were no significant areas to be improved.


---

#### Machine Learning Consultation & Dev for FMCG Company
**The Project**
- Services: Other IT Consulting and SI
- Project size: Less than $10,000
- Project length: Sep. 2020 - Feb. 2021

**Project Summary**: To minimize one of their most time-consuming processes, an FMCG company hired alterdata.io for their consultation on machine learning technologies. They were also tasked with building a POC for the product.


**Review Rating**: 5.0
- Quality: 5.0
- Schedule: 5.0
- Cost: 5.0
- Willing to Refer: 5.0

**The Reviewer**
Automation Lead & Lead Software Developer, FMCG Company
- Industry: Other industries

- Client size: 201-500 Employees
- Review Type: Online Review


**The Review** — Mar 26, 2021

**Feedback Summary**: Thanks to alterdata.io's professional intervention, the company was able to successfully build a model of the product that met all their requirements and expectations. The team made themselves readily present to impart valuable knowledge and insights for the project.
""We really liked their no-nonsense approach and friendly attitude."
"

**BACKGROUND**
Please describe your company and your position there.

I'm a software developer at an FMCG company that mainly specializes in health and personal care products.

**OPPORTUNITY / CHALLENGE**
For what projects/services did your company hire alterdata.io?

We were looking at improving one of our most time-consuming processes which is cash forecasting. We decided to use machine learning technology which we didn't have the in-house expertise for. In order to build a proof of concept we turned to Alterdata.io as they came recommended as experts in the field.

What were your goals for this project?

One was to drastically reduce the time that analysts were spending on the task, second to look for improved accuracy in the predictions being made.

**SOLUTION**
How did you select alterdata.io?

We were looking at a few companies that were offering ML consulting, those came through mostly by recommendations from other colleagues that had heard/dealt with them before. We picked alterdata.io as they were offering the most complete package of services. Top management was involved in the decision-making.

Describe the project in detail.

The project involved building and optimizing a machine learning model from scratch and establishing a data pipeline in accordance with our internal architecture - all this was provided by the vendor. My role was to provide training samples, general guidelines as to what we want to achieve, also connect the vendor with our dev team for any troubleshooting.

What was the team composition?

Initially we had 3 people from the vendor, their CEO, Chief Analyst and a developer responsible for the machine learning model. In the later phase two additional devs were involved to help build the architecture.

**RESULTS & FEEDBACK**
Can you share any outcomes from the project that demonstrate progress or success?

We had successfully built a model that meets our expectations.

How effective was the workflow between your team and theirs?

It was really great. They were always available for discussion, provided valuable insights, and they met all deadlines. We were mostly connecting via email and Google Meets.

What did you find most impressive about this company?

It's obvious that they have a great passion about what they do, backed up by vast knowledge. We really liked their no-nonsense approach and friendly attitude.

Are there any areas for improvement?

None that I can think of.


---



## Portfolio & Awards


### Data-Driven Ad Management Secures Leader Position
Our collaboration with AMS S.A., a leader in outdoor advertising in Poland, led to the implementation of a cutting-edge data warehouse powered by BigQuery. By integrating data from multiple sources, we enabled real-time insights and optimized marketing strategies, helping AMS strengthen its market position and drive greater ROI through data-driven decision-making.


### Reduced Data Costs by 60% for a Digital-Native
We partnered with a fast-growing digital-native company to modernize their fragmented and inefficient data processes. The client relied heavily on data for marketing, operations, and product initiatives but faced challenges due to legacy technical debt and slow, inconsistent data processing.
Leveraging DBT Core, Google Cloud, and Apache Airflow, we migrated and refactored their data infrastructure, optimizing performance and ensuring scalability. Our work included implementing a standardized data transformation model, reducing data refresh times from 8 hours to 2 hours, and cutting infrastructure costs by 60% through BigQuery optimizations.
Additionally, we introduced automated data validation, CI/CD pipelines, and orchestration improvements, enabling dynamic scaling and improving analytics efficiency. As a result, the client achieved faster reporting, reduced manual intervention, and enhanced operational agility.
Our Data Team as a Service continues to provide strategic support, ensuring long-term success and adaptability to evolving business needs.


### From Databases Chaos to Scalable System
We partnered with PŚO (Polski Światłowód Otwarty) to transform their fragmented and legacy data systems into a modern, scalable, and secure cloud-based solution. Leveraging Google Cloud and serverless technologies, we developed a unified data ecosystem that seamlessly integrates diverse sources, including parent company data. Our efforts included implementing robust Master Data Management, enabling advanced data visualization for insights, and optimizing processes to enhance operational efficiency. Additionally, we provided ongoing Data Team as a Service support, ensuring continuous improvements and scalability for their evolving data needs.


### Boosting User Engagement at Tutlo with ML
Partnering with Tutlo, we optimized analytical processes and implemented a Machine Learning model powered by BigQueryML to enhance user engagement and improve the learning experience. Through customer segmentation, precise KPIs, and an XGBoost model, the platform can now better predict user behavior and personalize the learning approach. The results include increased student and teacher satisfaction, 80% model accuracy, and improved decision-making and operational efficiency.


### Optimizing ROI in Mobile Gaming Campaigns
We partnered with FunCraft Inc., a leading US-based mobile gaming company, to optimize their marketing budget management and improve long-term ROI predictions. FunCraft faced challenges common in the mobile gaming sector—delayed revenue realization from user acquisition campaigns and fluctuating market dynamics that made budget allocation complex.
Our team developed a centralized data platform in Google BigQuery, integrating sources like Adjust, Applovin MAX, and app stores to create a single source of truth. We implemented predictive ROI models, including XGBoost and econometric approaches, providing reliable forecasts even with limited data.
Additionally, we delivered custom dashboards in Looker Studio, empowering FunCraft’s marketing and leadership teams with real-time insights into campaign performance (ROAS, LTV, CPI) and enabling data-driven decision-making. The solution significantly reduced manual reporting efforts, improved data accuracy, and accelerated budget allocation decisions.
As a result, FunCraft increased marketing ROI, improved operational efficiency, and gained deeper insights into user behavior and campaign profitability.


### Data Platform for District Heating Optimization
 
Smart Data Platform for District Heating Optimization 
We helped Celsium, part of the E.ON Group, unify and modernize its data infrastructure to optimize heat production and distribution across five Polish cities.
The project involved building a centralized data warehouse on Google Cloud, integrating telemetry, billing, production, and weather data. We automated ETL processes, implemented real-time monitoring, and created Tableau dashboards for operational insights and anomaly detection.
Key results included a 4x reduction in cloud costs, early detection of meter failures, and shifting from monthly to daily heat balancing. The solution improved forecasting accuracy, enabled faster decision-making, and generated annual savings of over 180,000 PLN.
Celsium now operates on a scalable, automated, and fully data-driven foundation.
 
 
 
 


### Nexera Saves 2000+ Hours with GenAI
Automating Document Processing with GenAI for Nexera
Nexera, Poland’s first wholesale fiber network operator, needed a scalable solution to manage and extract data from nearly 30,000 unstructured documents, including contracts and infrastructure agreements. Manual processing was time-consuming, error-prone, and hindered financial planning.
We implemented a Generative AI-based solution (Gemini model) that automatically classified documents, extracted key data fields, and enabled bulk processing of scanned files. Integrated validation rules ensured data consistency, and the results were exported into Nexera’s internal systems.
The project saved over 2,000 hours of manual work, reduced the risk of operational errors, and gave Nexera real-time control over expiring obligations and cost forecasts. The solution laid the foundation for a future cloud-based document management platform, driving long-term efficiency and over PLN 1 million in potential annual savings.




### Industry Recognitions

- Google Partner Expertise (Gaming)

- Google Partner Specialization - Data Analytics





## Packages







## Locations (1)

### Warszawa, Poland (Headquarters)
- Domaniewska 47/10
- Warszawa 02-672
- Poland
- 6 - 9 employees
- Phone: +48696094889



## Connections

- Marek Marczuk (NEXERA)


## Contact Alterdata
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