HEALTH

BI in Healthcare · Kemb GmbH

YOUR HEALTH DATA.
FINALLY CONNECTED,
FINALLY USABLE.

In most healthcare organizations, patient data, practice management, billing, and marketing are handled by separate systems. We integrate these sources into a single infrastructure that enables effective management of care, capacity, and cost-effectiveness, while complying with the GDPR from the very first connection.

+10 years

Experience with Data, BI, and Analytics

100+

Helps customers with their data strategy

5.0 ★

21 Google reviews, each one well-deserved

Trusted By

The Problem

Many systems, no single view.

Patient, practice, and marketing data are stored in isolated systems: EHR here, practice management there, and campaign tools somewhere else entirely. No one can reliably analyze capacity utilization, quality of care, or patient acquisition in conjunction with one another, let alone plan for them in advance.

The Approach

First integrate, then report, then predict.

We integrate your data sources with a clear definition of purpose and in compliance with the GDPR, build easy-to-understand reports based on that data, and only then do we discuss forecasts. Following this sequence builds trust in the numbers.

Patient, practice, and marketing data are stored in isolated systems (EHR, practice management, campaign tools)
01

Data Integration & Governance

Integration of all data sources in compliance with the GDPR and with a clear purpose.

Reporting shows key metrics, but not what really influences operational decisions
02

Reporting & Dashboards

Key metrics on quality of care, capacity, and cost-effectiveness—all in one place.

No one can plan ahead for demand, capacity utilization, or patient recruitment
03

Predictive Analytics

Forecasts for capacity utilization, demand, and campaign performance based on historical data.

AI-powered

In the healthcare sector, too, forecasts are increasingly AI-driven—from capacity planning to demand forecasting. Reliable predictions require clean, integrated health and operational data, not isolated Excel spreadsheets.

Services

What We Provide

No off-the-shelf package. Clear scope, dedicated points of contact, measurable results.

01

Integration

Integrating Patient, Practice, and Marketing Data

EHR, practice management, and campaign data consolidated into a single infrastructure, GDPR-compliant and with a clearly defined purpose.

02

Reporting

Dashboards for Supply, Capacity, and Cost-Effectiveness

Key metrics on capacity utilization, quality of care, and costs—all in one place—presented in a way that is easy to understand for both clinical and administrative staff.

03

Analytics

Patient Acquisition Without Data Protection Risks

Web and marketing analytics for healthcare providers, without transferring personally identifiable health data to tracking tools.

GROWTH FLYWHEEL

Part of the Growth Flywheel

We’re happy to take on the individual components. Ultimately, however, it’s never about isolated pieces — it’s about the bigger picture.

Every service is designed to fit into the system — so that tracking, the team and activation work together to drive the flywheel.

Privacy Policy

Data protection isn’t just an add-on—it’s the foundation.

Health data is subject to specific requirements under the GDPR. We set up integrations and reporting systems so that patient data is processed in a pseudonymized or anonymized manner whenever possible, and so that data processing agreements and access rights are taken into account from the outset, rather than being added later.

Honesty

When we should pass, and when we shouldn’t.

We’d rather work with the right customers than with everyone. That saves time for both sides.

You’ll be in the right place with us if…

You have real patient, practice, or operational data that is currently stored in isolation

View GDPR compliance as a prerequisite, not as an obstacle

You want to manage your supply, capacity, or marketing based on data rather than gut instinct

You are a hospital, a chain of medical practices, a medical care center, or a digital health company with a growing volume of data

Less suitable if…

You cannot or do not wish to grant access to your existing systems

You expect a solution without having to deal with data protection and purpose limitation

Your data volume and systems are still too small or too unstable for integration

No one within the company can take on long-term responsibility for data and reporting

VS

Why Kemb

Senior. Direct. No agency levels.

Seniors Only

No Junior Staffing

Every project is handled directly by experienced consultants—not delegated.

100%

Transparency

Close communication from onboarding through offboarding. No black box.

Fix-Scope

Clear Deliverables

No hourly rate. You know exactly what you’re getting ahead of time.

Data First

Measurable Results

Every project ends with a result that can be expressed in numbers.

Your point of contact

You’ll be speaking directly to the expert.

Dr. Konstantin Wemhöner

Co-Founder · CDO

Konstantin has been building data architectures that companies actually use for over 15 years. From McKinsey to setting up the BI system at Stylight and beyond: at Kemb, he helps medium-sized businesses transition to a modern data stack using Snowflake, dbt and dashboards that senior management can trust. His benchmark isn’t the number of reports, but the number of decisions that are made more quickly as a result.

“One figure that everyone trusts is worth more than twenty that everyone debates.”

Data Architecture

Snowflake

Analytics Engineering

AI & Automation

Votes

What customers really say.

★★★★★

“With kemb, we’ve been able to develop practical and robust solutions for our reporting that make management decisions much easier for us. We highly recommend them!”

Simon Köstler-Prada — Co-Founder of STUR

Simon Köstler-Prada — Co-Founder of STUR

★★★★★

“Very good support – super responsive, data-oriented, and providing valuable tips. Moreover, they are a great sparring partner, too.”

Teresa Fernandez — Marketing Lead at Tanso

Teresa Fernandez — Marketing Lead at Tanso

★★★★★

“We needed help with Google Ads, and our startup has been in very good hands here from the very beginning. 100% recommended!”

Max Wittrock — Co-Founder of zeroLabs

Max Wittrock — Co-Founder of zeroLabs

FAQ

Frequently Asked Questions

What exactly does “business intelligence” mean in the healthcare sector?+

BI in healthcare involves consolidating patient, practice, billing, and marketing data from separate systems and translating it into meaningful metrics to support both clinical and administrative decisions.

Which data sources can be integrated?+

Typical examples include electronic health records (EHRs), practice management systems, billing data, and marketing or campaign data. The specific sources that are most useful will depend on your organization.

How do you ensure GDPR compliance and data protection?+

Pseudonymization or anonymization wherever possible, clear purpose limitation for each data source, and data processing agreements that are incorporated from the outset rather than added later.

How can BI improve capacity planning and supply?+

Integrated data shows where capacity utilization, wait times, or resource requirements actually occur, rather than relying on individual estimates. This makes planning proactive rather than reactive.

What is predictive analytics in the healthcare context?+

Forecasts regarding capacity utilization, patient volume, or campaign performance based on historical data. While they do not replace clinical decisions, they provide a reliable basis for operational planning.

What types of healthcare organizations is this suitable for?+

Hospitals, medical practice chains, medical care centers, and digital health companies with growing data volumes and a commitment to incorporating data protection from the very beginning.

How does the collaboration work?+

Following an initial consultation, we’ll conduct an audit of your existing systems and data sources, followed by integration, the development of reporting capabilities, and—where appropriate—predictive analytics use cases.

How long does it take before the initial findings can be put to use?+

The first reliable dashboards can often be set up within a few weeks, depending on the number and condition of the systems to be integrated. Predictive analytics use cases require a bit more lead time and historical data.

More from Kemb

Additional Services

BI in the healthcare sector builds on our core BI services. These often go hand in hand:

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