2 modules
Sales, patient care, and service all in one solution.
Analytics, BI, and Data Platform
We integrate data from various systems and transform it into coherent reports, KPIs, and analyses. Teams work with up-to-date information and make decisions faster without having to manually compile data from multiple sources.
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Reliable analytics are produced when KPIs and data share a common definition.
30%
higher pipeline throughput
50%
shorter daily processing time
Days→minutes
time to receive the report
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Distinguishing Features
Where Analysts Waste Time, Lose Trust, and Lose Influence Over Decisions
Different numbers at the meeting
Each department tracks its KPIs in a different file or model. The team spends its time agreeing on the results rather than analyzing the causes and making decisions.
Reporting takes too long
The data is exported and consolidated manually after the period closes. The information arrives too late, so the manager reacts to the outcome rather than the warning sign.
The data has no owner
There is a lack of accountability for definitions, quality, and accessibility. Errors recur in subsequent reports, and analysts are constantly correcting the same issues.
AI does not have any trusted data
The models rely on incomplete data without context or quality metrics. The recommendations are difficult to explain, accept, and safely incorporate into the process.
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What's Changing
From manual reporting to a managed data-to-decision process
The change involves the data source, data product, semantic model, KPIs, report, and operation. The business receives common definitions, and the data team manages quality and exceptions.
The departments export data from multiple systems and reconcile the results before each meeting, which is why the report is produced late and its logic is difficult to trace.
Data is integrated according to a common model, and certified KPIs have an owner, a definition, a source, and a data-to-report path.
Each report contains its own transformations and metrics, so changing a definition requires updates to multiple files and leads to successive versions of the truth.
Shared semantic models separate business logic from reports, allowing definitions to be reused and controlled.
The data set provides a separate report for each need, and users create their own copies when the queue is too long or they don't know the source.
Managed self-service gives users flexibility with approved data, while the CoE sets standards, provides support, and establishes publication guidelines.
Insight stops at the dashboard, and actions are coordinated via email. The organization does not measure whether an alert or recommendation has changed the outcome of the process.
A deviation can trigger an alert, a task, or a workflow; the company measures response time, the conversion of recommendations into action, and business outcomes.
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Technologies
A single architecture integrates data, KPI definitions, analytics, and operations
Each layer has a distinct role: Power BI supports decision-making, Fabric organizes data, Azure scales analytics and AI, and Power Platform turns insights into processes.
Power BI
Microsoft Power BI transforms data from multiple systems into reports, models, and KPIs, all accessible in one place. We help build business analytics that streamline reporting and support decisions based on reliable data.
Fabric
Microsoft Fabric is an integrated data and analytics platform that includes integration, lakehouse, data warehouse, real-time analytics, and Power BI. We help streamline your data architecture and shorten the path from source to decision.
Power Automate
Microsoft Power Automate automates workflows between applications, data, and users. We help eliminate manual tasks, integrate systems, and reduce process execution times without losing control over exceptions.
Azure
Microsoft Azure is a cloud platform that provides businesses with the scale, security, and flexibility they need to continue growing. We help you migrate systems, modernize your environment, integrate data and applications, and build solutions ready for automation and AI.
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Services
From auditing reports to scaling a managed data platform
We start with decisions, KPIs, and data sources. Next, we organize the architecture, implement reporting and governance, and prepare the data for use by AI.
Business Consulting and Digital Strategy
We help translate business goals into a concrete roadmap for change, priorities, and technology decisions. We integrate perspectives on processes, data, and systems to ensure that investments support the company’s actual needs.
Implementations and Migrations
We carry out new implementations, migrations, and remediation projects, organizing data, processes, and integrations before the solution goes live. We manage the project from analysis and configuration through testing, production launch, and stabilization.
System Audits and Optimization
We assess how current systems, licenses, integrations, and security measures work, and identify where unnecessary costs or risks arise. Based on this, we recommend what to simplify, improve, or redesign.
AI Transformation and Copilot Adoption
We help you plan your use of AI—from strategy and scenario selection to implementation and adoption within your organization. We focus on applications that deliver clear business results and can be safely scaled.
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Case Study
Reporting from two days to near real time
A global parking services provider used to manually combine operational, financial, and sensor data. After consolidating the data in Microsoft Fabric , pipeline performance increased by 30%, and daily processing time was cut in half.
INDUSTRY
Parking and Mobility Services
REGION
Globally
PRODUCTS
Fabric
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How We Work
First, decisions and KPI definitions. Then, the platform, self-service, and AI.
Audit of Decisions, Data, and BI
We map out decisions, KPIs, sources, reports, owners, quality, costs, and risks. We establish baseline metrics and priority areas.
Platform Implementation and Pilot Program
We are building a data layer, a semantic model, and a report for a single decision. We are testing quality, accessibility, performance, monitoring, and adoption.
Scaling and Optimization
We develop data, governance, and self-service products. We measure usage, SLAs, costs, and performance, and then incorporate AI and automation.
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Numbers, not slides
What Works for Clients Who Have Placed Their Entire Company's Trust in Us
Five end-to-end projects from various industries. The same Microsoft tools, different results—because the initial questions were different.
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20–30%
Less time spent searching for information every day.
–40%
Less time needed to verify customer data in public records.
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2× faster
Operations and processes completed in half the previous time.
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LET'S TALK
Let's see what we can improve in your business
A brief conversation is all it takes to understand the challenge, evaluate possible approaches, and identify solutions that make real sense for your organization.
