Healthcare & Life Sciences
Operational, claims, and research analytics that speed up care and reporting.
ExploreSomewhere in your data is a decision worth millions
Our team builds the pipelines, platforms, dashboards, and models that surface it, and stays on until your people use them with confidence every day.
Talk to our data team
IN NUMBERS01
Our proof in numbers
20+
Years in industry
Two decades turning business data into working insight.
550+
Data and technology consultants
Engineers, analysts, and data scientists under one roof.
600+
Projects delivered
Pipelines, platforms, and dashboards running in production.
07
Global offices
Data teams aligned to your region and working hours.
What we do02
From raw data to confident decisions
Great analytics needs trusted data, a capable platform, and models that answer the right questions. Our team covers the full journey.
Data engineering
Tested, monitored pipelines that extract, transform, and load data from every source, catching issues before they reach your reports.
Data platforms and warehousing
Warehouses and lakehouses on Snowflake, Databricks, and Microsoft Fabric, structured around how your business reports and decides.
Business intelligence
Power BI and Tableau dashboards that make performance easy to read and put key answers one click away.
Advanced analytics
Forecasting, segmentation, and propensity models embedded in daily workflows, so teams act on insight at the right moment.
Governance and quality
Quality checks, lineage, and access controls that make every number traceable and trusted.
Managed data teams
Day-to-day platform support and roadmap delivery, while upskilling your team to take more ownership over time.
How mature is your analytics?
Four quick questions about your data, tools, and decision-making reveal your maturity stage and where to focus first.
How we work03
First result in six weeks, then build out
Value shouldn't wait for a finished platform. A working result lands early while the foundation grows behind it.
STEPS
Weeks 1 to 3
Start with the decision
Our team pinpoints the decisions to improve, then works back to the data and systems needed, ignoring sources that don't matter.
Weeks 3 to 6
Deliver the first result
A live dashboard or automation built on real business data, giving teams something useful while the platform takes shape.
Months 2 to 5
Build the foundation
Pipelines, models, and warehouse developed behind that first result, with quality checks and lineage built in.
Ongoing
Drive adoption, then extend
Training, usage reviews, and cleanup of unused reports, then predictive models once self-service is established.
Why sedin04
Why clients choose Sedin for analytics
A dashboard only matters when people trust it and know what to do next. Every engagement is built around that.
Decisions over dashboards
Every solution starts with a real business decision and the information needed to make it.
Value in six weeks
An early, working result arrives while the wider platform is developed in parallel.
Recognized expertise
Recognized as an AI and analytics specialist in ISG Provider Lens 2025 for measurable returns.
Connected to your core systems
Deep ERP, commerce, and operations experience means analytics is built around the systems that generate your data.
Industries05
Industries we serve
Each sector works with different data and performance measures. Our team brings that context into every model and dashboard.
Music
Manufacturing
Energy & Utilities
Retail & Ecommerce
Platforms and partners06
Technologies we work with
Tools are chosen for your data, your reporting needs, and the people who'll use them.
Proof07
Client stories
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Testimonials08
What our clients say
“We were really impressed with the Sedin Business Intelligence Team’s service orientation and understanding of our business. It is indeed a commendable implementation.”
Biswajit Rath
Head of Analytics, Raymond Limited
“Sedin’s Tableau team executed a smooth workflow to ensure the project's success. Their flexibility and adaptiveness were notable in the partnership.”
Raghavendra Bhargav
Director of Applications Development, Cyient
FAQ09
Frequently asked questions
Engineering builds the pipelines and platforms. Analytics turns that data into reports and answers. Data science builds models that predict outcomes or automate decisions. Most programs need all three, built in the right order.
A full platform can take months, but a first useful dashboard or automation typically arrives in about six weeks, with the wider platform built alongside.
Warehouses suit structured reporting, lakes store large volumes of raw data, and lakehouses combine both. Microsoft Fabric unifies engineering, storage, and BI. Our team recommends based on your data and existing tools.
Users are involved from day one, and every report ties to a real decision. After launch, usage is reviewed, and reports that don't help get improved or retired.
Get in touch10