• Services
  • Business intelligence and data analytics

Lead your business with data insight

We make sure you’re informed by the right data at the right time, so you can make decisions faster

Clients we’ve supported

Gain clarity on your company’s performance

Make informed strategic decisions

Address issues before they arise

Business intelligence and data analytics

Data infrastructure development

BI and data warehouse modernization

Computer vision and machine learning

Our work

Central data warehouse and reporting system for a utility company

Project duration

11,350 man-hours, 5+ years


SAP Analytics tools: Data Service, Information Design Tool, Translation Manager, IQ, BO, BI Web Intelligence.

Data warehouse: Kimball architecture, Snowflake schema.

Database platforms: Microsoft SQL, Oracle SQL, Firebird SQL, SAP SQL (Sybase).

Client challenge/business need

Due to the adaptation of an hourly-rate accounting system, business reporting requirements forced our client to quickly process massive amounts of data.

Solution at a glance

We created new data warehouse, a reporting metalayer and reports based on SAP Analytics tools. Integrated various sources to the warehouse.


  • The utility company has a unified reporting system for the processes managed in different systems.
  • Reduced the number of reports, increased sharing capability between departments, and improved users’ data literacy​.
  • Depending on the state of urgency, data in the warehouse is updated at least nightly by a variety of sources. Automated e-mail notifications about critical indicators.

Redesigning operator aid systems for manufacturing using machine learning


Microsoft Machine Learning, SAP Manufacturing Execution

Client challenge/business need

To create a test where machine learning identifies defect type and location in printed circuit boards – a test that is simple enough to be used by inexperienced operators.

Solution at a glance

Proekspert extracted the needed data from the Manufacturing Execution System and prepared complex data for a machine learning model trainer. The model was adjusted for each production item’s specifics.


  • Automatic improvement of the ML model. The system compares the new model with previous. If new is “better,” then it is replaced.
  • Our solution answered two questions: What is the problem? and Where is the problem?

Software to identify soccer fields and their surface material using ESA satellite imagery

Project duration

2100 man-hours, 1+ years


U-net, OpenCV, Postgres, CouchDB

Client challenge/business need

Investigate whether it is technically and commercially feasible through machine learning to obtain information about location and composition of soccer fields.

Solution at a glance

We built an application to select areas of interest, obtain a list of football fields, and view the results using a map application. A distinction is made between the fields covered with natural grass and artificial turf.


A solution for automating traffic sign recognition


PyTorch, Detectron2, fast.ai, yolov5, CVAT, BokehJS

Client challenge/business need

Detect, localize, and classify traffic signs based on images the client has captured beforehand.

Solution at a glance

We developed AI-powered software that helps our client to detect, localize and classify traffic signs based on images the client had captured beforehand.


  • They achieved a traffic sign detection and classification tool/software which enabled them to speed up annotating traffic signs for their customer (Oslo local government) thus creating a traffic sign database for their client.
  • The tool is scalable and can be expanded for use in other cities and countries.
  • In the long run, this database will help plan city traffic and compiles needed data for the use of autonomous vehicles and third-party applications.

How we work

From BI situation assessment to agile data ecosystem

Optimize your data strategy with an architectural approach that supports data-driven decisions Proekspert advanced data analytics and business intelligence services share a common aim: confident decision making on every level of your organization.
We help you clarify your company’s business intelligence goals and vision, assess requirements, and determine the next steps to move confidently into the future.

Step 1

Clarify business needs

Together we assess the BI situation and processes. You get realistic expectations of what BI can do. The project is begun only if real business value can be created.

Step 2

Technology evaluation

We evaluate your current BI stack based on your requirements and provide an unbiased recommendation for an optimal toolset. This enables more confidence in future BI investments.

Step 3

Implementation strategy

We define clear roles and responsibilities and a roadmap for sustainable implementation. This enables faster time to value, quick adaptation to business changes, and increased data literacy in your organization.

Step 4

Incremental value delivery

We use rapid prototyping. With fast time to value in mind, we incrementally build a data management and analytics ecosystem that can support rapidly changing business and data needs.

Our BI and data analytics services tech stack and competencies

Proekspert’s BI team is an interdisciplinary team whose passion is BI. They are focused on modern cloud technologies, but their experience includes on-premise Microsoft BI, SAP BusinessObjects and Oracle, Azure, AWS, Databricks, Snowflake, dbt, DataOps, Data Vault and, of course, industry-standard front-end tools like Power BI and Tableau.

Data Science

Focus areas

  • Image analysis
  • Sensor-based time series analysis

Technologies and methods

  • Machine learning and DNN
  • Regression and statistical analysis
  • Data acquisition and data wrangling

Tools and frameworks

  • YOLO, U-Net
  • Pytorch, Keras, Tensorflow,
  • Kubernetes and Kubeflow
  • Jupyter lab, Numpy, Pandas

Applications and use cases

  • Anomaly and fault detection
  • Object detection, classification, segmentation, tracking, and measurements
  • Parameter optimization

Data analytics

BI tools

  • Power BI
  • SAP Cloud (SAC)
  • Oracle

Discovery and implementation

  • Business requiements
  • Data Mart
  • Data visualisation
  • BI dashboards
  • Reporting

Data engineering and infrastructure

ETL competences

  • DataVault
  • Azure
  • Oracle
  • SQL (MS, Thunderbird)
  • SnowFlake
  • DataBricks

Data governance

  • IoT data strategy
  • Data quality
  • Data literacy consulting

Data warehouse

  • Data warehouse arhitecture
  • DWH development
  • Data storage
  • Data migration

Business intelligence and data analytics

Proekspert business intelligence and data analytics services help you to transform data into actionable and relevant insights. This enables informed strategic decisions, improved operational efficiency, and business productivity.

  • Business requirements and goals definition
  • Data visualization and dashboards
  • Implementation of BI tools and methodologies
  • Descriptive and predictive analytics
  • Data literacy consulting
  • Knowledge discovery

Advanced analytics and machine learning

With advanced analytics, we assemble data in a novel manner and find patterns a human could never hope to identify. This enables you to map and discover patterns that may currently be hidden.

  • Rapid validation and feasibility assessment
  • Applied research and development
  • Algorithm development
  • Data modeling
  • Advanced business analytics and reporting

Data infrastructure

We help you govern, process, store, transfer, and secure data, so your business can gain real value. This is the essential aspect of data processing and analysis.

  • Data warehouse architecture and development
  • Data governance and quality
  • Performance tuning and maintenance
  • Data sourcing and retrieval
  • High availability, backup, and disaster recovery
  • Data cleansing and transformation
  • Data warehouse upgrades and migrations

BI and data warehouse modernization

Through data warehouse (DWH) migrations to new cloud-based BI and data warehouse solutions, we help you accommodate evolving business requirements by re-using former investments in data warehouse content and your legacy installations.

  • Hybrid deployment for an enterprise DWH
  • Self-service BI and data preparation solutions
  • Expanding the BI environment to include analytical sandboxes or data science
  • Eliminating data shadow IT systems

We have decades of experience. Challenge us!

Drop us a description of your BI plans or a challenge you have faced, and we will map your way to insights. Together we get a clear understanding of what it takes to ensure confident decision making in every role of your organization.

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Urmas Kobin

BI & Data Analytics Lead

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