At RheinBrücke, we help enterprises reimagine their digital future by combining technology, strategy, and industry expertise. With scalable solutions and a business-first approach, we ensure your transformation drives measurable results and long-term growth.
Business Intelligence acts as a data manager, guiding enterprises through the complexities of their data landscape. It transcends basic data collection, providing a comprehensive view that helps decode intricate patterns and trends. Businesses can identify hidden connections and uncover previously unseen opportunities by leveraging BI. This holistic approach allows companies to transition from reactive to proactive, making informed predictions about market shifts and customer behavior.
The success of BI implementation centres around effective planning, stakeholder engagement, and skill development that maximize the benefits of BI for informed decision-making and business performance.
Ensuring that enterprise data can be identified, aggregated and transformed using ETL processes to make it accessible and useful.
Data aggregation from databases, APIs and Cloud services, integrating with data lakes for scalable storage.
Data preparation - cleansing viz. correcting errors and removing duplicates, transforming by standardizing formats & aggregating, and enriching data by adding contextual details.
Tools such as Power BI Dataflows and Power Query automate processes, enhancing efficiency.

Seamless integration with on-premise systems or Cloud.
Data Sources like SQL Server, Oracle, and MySQL database, Cloud services such as Azure Data Lake, Amazon S3, and Google BigQuery, APIs, Flat Files
CRM Systems Salesforce, Dynamics 365, or HubSpot and ERP Systems like SAP, Oracle, Epicor or Microsoft Dynamics 365.
Integration with Data Lakes, BI Tools, Collaboration tools like Teams, Slack and more.
Integration using Microsoft Power Automate or Zapier Workflow and Automation Tools.

Our architecture and design services ensure optimised data accessibility, scalability and performance.
Data Modelling, such as Star or Snowflake schemas, to organize data for efficient querying and reporting.
Data Integration and ETL to pull data from various sources, transform and load into the data warehouse.
Centralized Data Storage from sources like databases, CRM systems and ERP platforms.
Performance Optimization using indexing and partitioning techniques.

Defining the framework, policies and then implementing the required tools to enforce confidentiality, integrity and availability of data throughout the lifecycle.
Data definition and management policies are set for handling, retention and retrieving.
Implementation of measures to protect sensitive information and personally identifiable information, adherence to regulatory standards such as GDPR.
Data governance frameworks and security protocols to ensure integrity, confidentiality, and compliance.
Data accuracy and consistency through cleansing and profiling.

Analyse large datasets using ML, statistical analysis & pattern recognition.
Prescriptive Analytics: Achieve desired outcomes using both quantitative and qualitative insights.
Predictive Analytics: Identify patterns and relationships in historical data to predict future outcomes.
Clustering Analytics: Uncover patterns, segment data for targeted strategies, detect anomalies, simplify data analysis.
Big Data Analytics: Analyse vast datasets to uncover hidden patterns and insights.
Online Analytical Processing: Explore and understand data from multiple perspectives with OLAP.

Reports and Dashboards for Business Intelligence systems, designed to present data in a structured and visually appealing format for decision-makers.
Customized DashboardsDashboards for a real-time snapshot of business performance via Interactive visualization tools like Power BI, Tableau and Looker.
Interactive ReportsStructured data presented in tables, charts, and graphs, allowing users to analyse historical trends, monitor key performance indicators - KPIs and identify patterns.

BI technologies enable organizations to derive meaningful insights from their data, improve decision-making processes, and gain a competitive edge by understanding trends, patterns, and opportunities within their operations and market landscapes. It encompasses tools such as Azure Data Factory for ETL processes, Power BI for intuitive visualization, and Azure Analysis Services for advanced analytics, enabling organizations to extract actionable insights from data for informed decision-making and strategic planning.
Microsoft Fabric is a comprehensive platform designed to streamline data management and analytics across its entire lifecycle. By integrating key components such as data engineering, data science, real-time analytics, data warehousing, and visualization, it offers a unified approach to handling data efficiently.
Data Engineering is powered by Azure Data Factory, which orchestrates and automates data workflows and ETL operations. Data Factory also leverages this tool for effective data movement and transformation. In Data Science, Azure Machine Learning enables the creation and deployment of machine learning models for actionable insights.
Our technology stack supports a diverse array of data visualization, business intelligence, and enterprise resource planning solutions, enabling comprehensive insights across business functions. Tableau provides a powerful, user-friendly platform for creating interactive dashboards and data visualizations, making complex data easily accessible for business users, while Qlik Sense offers similarly intuitive analytics capabilities. SAP Business Objects addresses enterprise-level reporting and analytics needs.
Anvizent streamlines data integration from multiple sources for real-time insights, and Google Data Studio provides an intuitive, cloud-based platform for customizable reporting. To support advanced analytics, we leverage Databricks for data processing and machine learning, and Snowflake for scalable data warehousing and seamless data management.

Revolutionizing Tech Solutions: Microsoft Dynamics 365 and Microsoft Technologies Lead the Way.
We integrate Power BI with Dynamics 365, enabling a cohesive and finely tuned data environment. Combining BI's analytical capabilities with Dynamics 365's ERP and CRM functionalities offers several benefits such as
We are passionate about empowering your organization to make informed decisions with confidence. Our team of highly skilled professionals possesses unmatched expertise in diverse data models and cutting-edge analytics tools. As a Microsoft Gold Competency Partner, we work closely with you to unlock the full potential of your data.
Experience unparalleled speed and efficiency with our state-of-the-art technology and design capabilities.
Implement bespoke data models and solutions tailored precisely to your unique business requirements.
Rely on our comprehensive services for seamless support throughout your entire data journey.
Utilize our deep knowledge and experience in your sector to address and overcome your specific challenges.
RheinBrücke IT Consulting GmbH's Power Plant Analytics (PPA) tool was a transformative solution tailored specifically to the unique demands of the power plant industry. Unlike traditional ERP suites, PPA excelled in critical areas such as billing, revenue calculations, power generation scheduling, and management of power purchase agreements. With advanced features providing real-time access to comprehensive operational, financial, and market data, PPA empowered decision-makers to gain deep insights into plant operations and market profitability. The tool's analytical dashboards and self-service reporting capabilities enabled users to foresee opportunities, detect risks, and make informed decisions swiftly.
PPA enhanced decision-making through historical trend analysis and "What-If" scenario evaluations, assessing the impacts of operational metrics and potential disruptions. Field officers benefited from real-time data access via smartphones for proactive maintenance, while standard BI reports and dashboards facilitated comprehensive analysis. The seamless interface for MIS reporting minimized manual intervention, enhancing reporting accuracy and efficiency.PPA's modular design included functionalities for billing, scheduling, revenue management, and budget forecasting, ensuring streamlined operations and efficient resource management.
PPA's user-friendly design ensured ease of use with minimal training for business users. RheinBrücke successfully delivered a robust solution that enhanced operational and financial efficiency in the power plant industry, solidifying its commitment to innovative and impactful industry solutions.
