Life Sciences
Every Trial, Batch, and Sale in One Report
Allston Yale builds pharma and life sciences analytics for mid-market drug, biotech, and device companies in Texas and across the USA. We help lean IT and analytics teams turn R&D, manufacturing, and commercial data into a clear view they can act on.
01
The Data Is Siloed and the Stakes Are High
Life sciences generates enormous data across discovery, trials, manufacturing, and commercial, most of it locked in validated systems that do not talk to each other. A cross-functional question can take weeks to answer, and every number may face a regulator. We connect the data so answers come faster and cleaner.
02
What Pharma and Life Sciences Analytics Covers
Pharma analytics runs from the lab to the field. It spans R&D and clinical trial performance, manufacturing yield and quality, regulatory and quality-system metrics, and the commercial numbers, sales, market access, and field activity, that decide whether a launch lands.
Data analytics in the pharmaceutical industry rarely starts everywhere at once. We begin with the function under the most pressure, often trial enrollment, batch quality, or commercial performance, and build out from a metric your leadership already tracks.
03
Built for Lean Life Sciences IT Teams
A mid-market biotech or device company rarely has a large analytics group, yet it answers to the same FDA and auditors as big pharma. We build life sciences analytics a small team can maintain, so compliance and leadership reporting do not rest on one validated spreadsheet.
04
From Clinical, Quality, and Commercial Systems to Dashboards People Trust
Your data lives in EDC and clinical systems, LIMS and quality, the ERP and MES on the manufacturing side, and CRM and syndicated data on the commercial side. We bring it together into pharmaceutical data analytics your teams can read without exporting to yet another spreadsheet.
That foundation supports clinical trial analytics on one side, tracking enrollment, site performance, and timelines, and commercial analytics on the other, so R&D, quality, and the commercial team work from numbers that finally agree.
05
Analytics That Holds Up to an Audit
In life sciences the reporting itself has to be defensible. We design with data integrity in mind, controlling access, preserving audit trails, and documenting how numbers are derived, so a dashboard supports a regulatory question or an inspection rather than raising new ones.
06
Built on Power BI and Microsoft Fabric
We build pharma and life sciences analytics on Microsoft Power BI for the dashboards and Microsoft Fabric for the data platform underneath. For the reporting craft see our Power BI consultant page, and for the platform see our Microsoft Fabric consulting page.
Most companies start with Power BI done well on the metrics that matter most, then grow into Fabric as trial, manufacturing, and commercial data multiply. We help you separate a real platform need from an upgrade that can wait.
What working with Us Looks like
Many firms will hand you a generic dashboard and leave. We learn how your science and your commercial model actually work first, build data analytics for life sciences to fit, and document everything so your team keeps control long after we step back.
32%
INCREASE IN DECISION SPEED
27%
REDUCTION IN OPERATIONAL COSTS
2.4x
INCREASE DATA UTILIZATION
96%
DATA ACCURACY IMPROVEMENT
Data-Driven Demand Forecasting with Analytics Data Platform
Analytics Data Platform Facilitating a Greener Future
Common Questions
Can you connect our clinical, quality, and commercial systems?
Yes. We regularly pull from EDC and clinical platforms, LIMS and quality systems, ERP and MES, and commercial CRM and syndicated data, through their databases, extracts, or interfaces. We do not replace those systems; we make their data usable in one place.
Can your reporting support regulatory and quality requirements?
It can. Once the underlying data is governed and reconciled, the same foundation produces quality and regulatory metrics with controlled access and a clear audit trail, so the numbers support an inspection rather than becoming a finding themselves.
Do we need Fabric, or is Power BI enough?
Often Power BI is enough to start. A well-built model and dashboards carry many teams a long way. We bring in Fabric when trial, manufacturing, or commercial data volume and real-time needs genuinely call for it, not before.
How long until we see something useful?
A first dashboard on a priority area, trial enrollment, batch quality, or commercial performance, usually lands in weeks. We get one trustworthy view in front of your team early rather than waiting to model the whole business, then build out from there.
Talk to Us About Your Pipeline
If your team is assembling trial, quality, or commercial reports by hand, or bracing for the next audit, a short conversation will show what is possible. Book a time and we will walk through your data and where the fastest win is.
