Business Intelligence Services
Business analytics provides insights from data, helps track KPIs, and offers insight into customer needs and expectations.
Let’s talk7+
Years of Business Intelligence Services for companies around the world
41
Experts in data engineering and data analytics on our team
97%
Fewer errors than in manual analyses
Business Intelligence drives your company’s competitive advantage
Business Intelligence (BI) analytics transforms data into easy-to-understand charts and visualizations. Advanced data analytics allows organizations to derive actionable insights and optimize operations, explaining past events and predicting what may happen in the future, thus supporting decision-making processes.
Data visualizations and reports
Business intelligence services companies gather key business data from various sources (such as marketing, sales, finance, etc.) and present it in an easily understandable visual format, which accelerates decision-making.
Support for decision-making processes
Thanks to predictive analytics, which generates accurate forecasts and enables informed decisions, as well as the visual presentation of insights, business decisions can be made more quickly and efficiently.
Accurate information
Key performance indicators (KPIs) in the form of dashboards make it easier to spot details hidden in the data, enabling a better understanding of the company’s situation and allowing management to be based on in-depth analysis.
Increased productivity
Easy access to key business information leads to faster and more efficient analytical processes, reduced team workload from tedious tasks, and the elimination of human error risks.
Lower business risk
Greater data credibility, clarification of discrepancies across systems, and a single source of truth that presents the real situation, enhance the accuracy of decision-making.
Better collaboration between departments
Centralized data and quick sharing of reports provide access to the same up-to-date metrics for every team. As a result, productivity increases, and the risk of errors decreases.
Transform your data into success with Business Intelligence
Data visualization on dashboards leads to a better understanding of the company
We use advanced statistical techniques as a part of our business intelligence services to ensure that the conclusions drawn are not random.
A single source of truth ensures that you monitor consistent and reliable data from various sources, allowing you to make data-driven business decisions.
Why Business Intelligence Consulting
from Alterdata?
Comprehensive services
Based on your needs and budget, we select and implement services that ensure the highest effectiveness of Business Intelligence.
We take into account the size of the company, the business environment, and other factors.
Team of professionals
Our engineers and data analysts have the expertise and years of experience in implementations across various industries.
We understand business, its needs, and speak the same language as you.
A wide tech stack
We use the latest and most efficient business intelligence technologies from 3 leading cloud solution providers to enhance decision-making processes.
This allows us to build platforms perfectly tailored to your needs.
End-to-end implementation
We provide support from consulting and planning to implementation, all the way through to daily BI usage support, as a specialized business intelligence consulting company offering comprehensive solutions.
You receive a complete BI solution and our assistance in its operation.
Data Security
Protection of data from destruction, loss, and unauthorized access is the foundation of our work for you.
We ensure compliance with GDPR and other applicable regulations.
Data team as a service
BI support from the Alterdata team means having a group of experts ready to assist whenever you need them.
You decide when to use their services, and you only pay for the time they work.
Understand more with our Business Intelligence solutions
Our customers say:
Alterdata is characterized by a personalized approach to clients. The team has extensive expertise in the latest IT solutions available on the market. I highly recommend collaborating with Alterdata in the area of data digitization.
Alterdata demonstrated exceptional expertise, professionalism, and a tailored approach to the client throughout the entire system implementation process. The team of engineers and specialists was deeply committed to the project, ensuring its success at every stage.
Focus on increasing your company’s efficiency
If you have even one of these problems, you need Business Intelligence Services:
Problems with interpreting metrics
You have doubts about whether you selected the correct data for analysis and whether the conclusions drawn from it might be incorrect.
Low analysis efficiency
Creating analyses takes up too much time, and the benefits gained are disproportionate to the effort invested.
Inconsistent data sources
Consistently integrating data from different sources is very challenging and often even impossible.
Lack of integrated visualization
The company lacks a dashboard that consolidates data in one place, making it difficult to analyze information.
Insufficient skills
The lack of in-house specialists prevents the independent implementation of analytics, delaying data-driven development.
Reporting blocks decision-making
Business users take too long to generate and refresh reports, causing delays in making critical decisions.
Inconsistent metrics
The same metrics have different values in various systems, leading to decisions based on incorrect assumptions.
Overly complicated reports
The metrics and information in the reports are difficult to understand, which hinders interpretation and drawing conclusions.
Business Intelligence process, step by step
Assessing client goals and needs
- Identifying areas requiring support
- Indicating metrics and KPIs to monitor in BI solution
- Presenting preliminary solutions
- Incorporating client feedback into the project
Building the architecture
- Designing the infrastructure
Integrating data sources
- Collecting information from various systems
- Creating automated data retrieval processes
- Ensuring data quality from the beginning of the process
Building the data warehouse
- Loading data from company sources
- Optimizing query performance
- Processing and interpreting data
- Cleaning data and creating a single source of truth
Creating data visualizations
- Selecting BI tools for data visualization
- Identifying key indicators
- Designing a user-friendly layout
Optimizing and Implementing Feedback
- Gathering feedback from business users
- Iteratively refining the project
- Testing changes
What data sources do we integrate with BI? See examples.
Business data management systems
- ERP
- CRM
- PIM
- WMS
- OMS
Marketing
- Google Analytics
- Google Ads
- Facebook Ads
- TikTok
- Criteo
Marketplace
- Allegro
- Amazon
- Empik
CMS
- Prestashop
- Magento
- Shopify
- Shoper
- WooCommerce
- IAI-Shop
Tech stack: the foundation of our work
Discover the tools and technologies that power the solutions created by Alterdata.
Google Cloud Storage enables data storage in the cloud and provides high performance, offering flexible management of large datasets. It ensures easy data access and supports advanced analytics.
Azure Data Lake Storage is a service for storing and analyzing structured and unstructured data in the cloud, created by Microsoft. Data Lake Storage is scalable and supports various data formats.
Amazon S3 is a cloud service for securely storing data with virtually unlimited scalability. It is efficient, ensures consistency, and provides easy access to data.
Databricks is a cloud-based analytics platform that combines data engineering, data analysis, machine learning, and predictive models. It processes large datasets with high efficiency.
Microsoft Fabric is an integrated analytics environment that combines various tools such as Power BI, Data Factory, and Synapse. The platform supports the entire data lifecycle, including integration, processing, analysis, and visualization of results.
Google BigLake is a service that combines the features of both data warehouses and data lakes, making it easier to manage data in various formats and locations. It also allows processing large datasets without the need to move them between systems.
Google Cloud Dataflow is a data processing service based on Apache Beam. It supports distributed data processing in real-time and advanced analytics.
Azure Data Factory is a cloud-based data integration service that automates data flows and orchestrates processing tasks. It enables seamless integration of data from both cloud and on-premises sources for processing within a single environment.
Apache Kafka processes real-time data streams and supports the management of large volumes of data from various sources. It enables the analysis of events immediately after they occur.
Pub/Sub is used for messaging between applications, real-time data stream processing, analysis, and message queue creation. It integrates well with microservices and event-driven architectures (EDA).
Google Cloud Run supports containerized applications in a scalable and automated way, optimizing costs and resources. It allows flexible and efficient management of cloud applications, reducing the workload.
Azure Functions is another serverless solution that runs code in response to events, eliminating the need for server management. Its other advantages include the ability to automate processes and integrate various services.
AWS Lambda is an event-driven, serverless Function as a Service (FaaS) that enables automatic execution of code in response to events. It allows running applications without server infrastructure.
Azure App Service is a cloud platform used for running web and mobile applications. It offers automatic resource scaling and integration with DevOps tools (e.g., GitHub, Azure DevOps).
Snowflake is a platform that enables the storage, processing, and analysis of large datasets in the cloud. It is easily scalable, efficient, and ensures consistency as well as easy access to data.
Amazon Redshift is a cloud data warehouse that enables fast processing and analysis of large datasets. Redshift also offers the creation of complex analyses and real-time data reporting.
BigQuery is a scalable data analysis platform from Google Cloud. It enables fast processing of large datasets, analytics, and advanced reporting. It simplifies data access through integration with various data sources.
Azure Synapse Analytics is a platform that combines data warehousing, big data processing, and real-time analytics. It enables complex analyses on large volumes of data.
Data Build Tool simplifies data transformation and modeling directly in databases. It allows creating complex structures, automating processes, and managing data models in SQL.
Dataform is part of the Google Cloud Platform, automating data transformation in BigQuery using SQL query language. It supports serverless data stream orchestration and enables collaborative work with data.
Pandas is a data structure and analytical tool library in Python. It is useful for data manipulation and analysis. Pandas is used particularly in statistics and machine learning.
PySpark is an API for Apache Spark that allows processing large amounts of data in a distributed environment, in real-time. This tool is easy to use and versatile in its functionality.
Looker Studio is a tool used for exploring and advanced data visualization from various sources, in the form of clear reports, charts, and interactive dashboards. It facilitates data sharing and supports simultaneous collaboration among multiple users, without the need for coding.
Tableau, an application from Salesforce, is a versatile tool for data analysis and visualization, ideal for those seeking intuitive solutions. It is valued for its visualizations of spatial and geographical data, quick trend identification, and data analysis accuracy.
Power BI, Microsoft’s Business Intelligence platform, efficiently transforms large volumes of data into clear, interactive dashboards and accessible reports. It easily integrates with various data sources and monitors KPIs in real-time.
Looker is a cloud-based Business Intelligence and data analytics platform that enables data exploration, sharing, and visualization while supporting decision-making processes. Looker also leverages machine learning to automate processes and generate predictions.
Terraform is an open-source tool that allows for infrastructure management as code, as well as the automatic creation and updating of cloud resources. It supports efficient infrastructure control, minimizes the risk of errors, and ensures transparency and repeatability of processes.
GCP Workflows automates workflows in the cloud and simplifies the management of processes connecting Google Cloud services. This tool saves time by avoiding the duplication of tasks, improves work quality by eliminating errors, and enables efficient resource management.
Apache Airflow manages workflows, enabling scheduling, monitoring, and automation of ETL processes and other analytical tasks. It also provides access to the status of completed and ongoing tasks, as well as insights into their execution logs.
Rundeck is an open-source automation tool that enables scheduling, managing, and executing tasks on servers. It allows for quick response to events and supports the optimization of administrative tasks.
Python is a programming language, also used for machine learning, with libraries dedicated to machine learning (e.g., TensorFlow and scikit-learn). It is used for creating and testing machine learning models.
BigQuery ML allows the creation of machine learning models directly within Google’s data warehouse using only SQL. It provides a fast time-to-market, is cost-effective, and enables rapid iterative work.
R is a programming language primarily used for statistical calculations, data analysis, and visualization, but it also has modules for training and testing machine learning models. It enables rapid prototyping and deployment of machine learning.
Vertex AI is used for deploying, testing, and managing machine learning models. It also includes pre-built models prepared and trained by Google, such as Gemini. Vertex AI also supports custom models from TensorFlow, PyTorch, and other popular frameworks.
Discover our clients’ success stories
How data-driven advertising management helped an AMS agency maintain its leading position.
For the AMS team, we created a reliable and user-friendly ecosystem by integrating key data from external providers, including traffic measurements from mobile devices.
Thanks to the solutions offered by Alterdata, AMS was able to provide clients with access to key metrics, giving them greater control over campaigns and optimization of advertising spend.
Implementation of Business Intelligence and integration of distributed databases in PŚO
For Polish Open Fiber, we built an advanced Data Hub architecture based on an efficient and scalable Google Cloud ecosystem, utilizing business intelligence solutions to enhance operational efficiencies. We implemented Power BI as a Business Analytics tool and also trained its users.
This improved data availability and accelerated the creation of interactive reports and dashboards.
Bartosz Szymański
Data Strategy and Customer Relations Director
Your data holds potential.
Ask us how to unlock it
FAQ about our Business Intelligence Services
What will I gain by integrating data from GA4, CRM and MMP in the Business Intelligence system?
Integrating data in Business Intelligence tools provides a coherent picture of the company’s operations, combining strategic and operational data in one place. Thanks to intuitive charts, it is easier to analyze trends and make better business decisions. Additionally, Business Intelligence allows: – Segmentation of customers by margin (e.g. high, medium, low margin). – Advanced Data Analytics of campaign margins divided into customers covered by CRM activities and those who were not. – Calculation of margins and returns at the level of marketing channels (combining ERP/CMS, GA4, marketing networks).
How do Alterdata services differ from ready-made Business Intelligence platforms?
We deliver Business Intelligence Solutions fully tailored to the specifics of your company, taking into account the industry, organizational structure and processes. Unlike ready-made platforms, our solutions easily integrate with existing systems, eliminating costly modifications. We also provide scalability, which prepares your company for future challenges and guarantees flexibility in changing business conditions.
How will I measure the effects of cooperation with Alterdata?
You will measure the effects of changes using KPIs, which we will jointly define at the project planning stage. These will include, among others, shortening the time of access to data, improving the accuracy of reports and predictive analytics or increasing the efficiency of key processes. The indicators will be tailored to the specifics of your company and industry, which will allow you to fully monitor the positive results of our cooperation.
How quickly will I see the effect of implementing Business Intelligence in my company?
The effects of implementing Business Intelligence depend on the scale of the project and the quality of data. The first valuable reports can be available after just a few weeks. Our experienced team accelerates the process, ensuring quick business benefits for your company.
Do I need to have Business Intelligence competences in my organization?
You do not have to have advanced Business Intelligence competences in your company. Our team of experts comprehensively conducts the implementation, and we also offer training that allows your employees to use and develop the system independently.
What if data quality problems arise in the future?
Alterdata offers Business Intelligence Consulting and ongoing support after implementation, including data quality management and monitoring. We support in identifying and solving problems, ensuring the continuous correctness of analyses and the reliability of reports.
Will my company be able to develop the BI solution independently?
Our Business Intelligence solutions are flexible and intuitive, which allows for their independent development. Additionally, we offer training and documentation so that your organization can efficiently adapt the system to changing needs.
What will the issue of maintaining the BI solution look like?
The issue of maintaining the solution depends on your needs. We can actively support the maintenance process, providing ongoing assistance and optimization, or provide detailed instructions on how it should be maintained, so that you can manage it yourself. The decision depends on your preferences and situation.
Will the new Business Intelligence system work with our current software and hardware?
We create Business Intelligence solutions in a way that ensures their compatibility with current and future technologies. We adapt to the customer’s preferences, using flexible and scalable integrations.
What if new sales, marketing or marketplace channels appear?
Our Business Intelligence solutions are designed with development in mind. Adding new sales or marketing channels is a standard process that we implement based on your needs and the dynamically changing market.
Does an external business analyst or data engineer have access to all of our company’s information?
Our Business Intelligence Consulting and Services ensure complete data security. Access to information is strictly controlled, and our experts only have access to the data necessary to implement the project, in accordance with the highest security standards. We do not collect data, it is stored exclusively on the client’s side.
Does Alterdata take into account the client’s preferences when choosing an Enterprise Business Intelligence?
Alterdata is technologically independent. Our recommendations are always based on your preferences and the best BI solutions available on the market, guaranteeing optimal effectiveness and compliance with your requirements. We are partners with many technology providers, but we do not sell them. This gives us maximum objectivity when choosing the best technology to solve your problem.