Power BI

“People don’t want data, they want answers”.

Do you feel the same way? With Power BI, you control delivery, easily optimize processes and automate reporting.

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Data that will fundamentally change your business

We know how to extract meaningful information from data that our clients can use in practice and make critical business decisions.

We have professional internal team of consultants with deep knowledge and broad experience of Power BI technologies and business processes.

Flexible and fast data retrieval, prototype validation, analysis processing, and information sharing – that’s Self-service BI.

What does Self-service BI do?

2014

we started to build Power BI solutions

40+

Power BI professionals in Adastra CZ

60+

analytics solutions delivered in Power BI

Why adopt Power BI?

Sjednocuje data z interních i externích zdrojů do opakovaně použitelných datových sad.

Provides an intuitive environment for self-service and ad-hoc analysis.

Its deployment and use is quick and easy.

Leader among other BI Platforms.

Brings AI-powered data insights for your business.

Enables fast delivery: rapid development leads to fast decision making.

Try your new clickable report!

Play with data analytics about returns for imaginary office equipment shop.

See what products are being returned the most, in which region and time.

Get main KPIs, their trends and slice them by year or region.

Get insights from key factors influencing on order being returned using AI visual.

Drill down into different data levels of every chart or switch from charts to tables.

In Power BI we combine our IT and business expertise

IT consulting

Transitioning from a legacy BI technology to Power BI
Business analysis of customer needs
Revising existing architecture and reporting processes
Designing reports and storytelling
Developing reports
Implementing advanced solutions, including AI features

End-users education

Implementing self-service and ad-hoc reporting
Data analysis
Sharing outputs
Option 1: on standard data and predefined scenarios
Option 2: on customer-selected data and predefined scenarios
etc.

Deployment

PoC implementation
Complete report-set implementation
Custom visuals development
Platform implementation
Platform administration
Platform maintenance
Full project implementation (E2E)
etc.

Our methodology of building Power BI solution

1. Initial analysis

Understanding business needs
Gathering requirements
Discussing our additional suggestions with business
etc.

2. Analysis and solution design

Revising existing architecture and its sufficiency
Defining KPIs and report criteria
Designing new architecture and reporting processes
Creating implementation roadmap

3. Data integration and implementation

Data acquisition from source systems
Data transformation
Data cleansing
Creating extra columns or tablest
etc.

4. Creating reusable datasets, providing one point of truth

Calculating metrics
Defining data model and security
Setting up relationships between tables
Bringing sense into data: categorization, description and formatting
etc.

5. Reports development

Building report elements: pages, charts, buttons
Implementing interactivity and functionality
Reports designing according to company branding and best data visualization practices
Solution testing and finetuning

6. Maintenance and support

Documenting solution
Educating business users and data analysts
Supporting users with self-service analysis and accesses
Ensuring solution is always up and running
etc.

Case studies

CRM system integration for more complex reports, sensitive data anonymizing

For one large automotive company, we have improved the data quality of customer data, integrated individual CRM modules into a unified data solution, and further enriched it with data from public registers.

We designed and built Spark data marts that are now consumed by business users via Power BI.
We are able to process more customer data and create more complex reports.
As a result, advanced data analysis is performed on both raw and aggregated data across all CRM domains.

Throughout the solution, we have emphasized anonymizing sensitive data, with some data anonymization already being carried out during acquisition.

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