At AlignAlytics, we help businesses design analytics systems that start with real-world decisions, not abstract data models.
Our approach bridges the gap between business goals and data architecture — from raw collection through to actionable insight.
Our approach starts with the business need, defining the insights required to support effective decision making.
From there, we assess data availability, review the technology stack, and design the metrics, KPIs, and data routines to deliver insight.
This process bridges the silos between business and IT — delivering practical, user-friendly solutions that reflect the art of the possible, not the average.
We evaluate data availability across functions and develop what we call an Analytical Asset - a structured, reusable data foundation from which key insights, metrics, and KPIs can be explored to support decision-making at scale.
From raw data to enriched, decision-ready reporting — designed for action.
Analytical Assets are more than data structures — they are transformed, enriched, and augmented using tailored AI/ML routines such as forecasting, churn modelling, and segmentation.
Once deployed, they enable faster access, better consistency, and significantly less manual effort, freeing teams to focus on decisions, not manipulation.
We define KPIs around decisions — not just dashboards — so insight drives outcomes.
Machine learning is applied where it creates real value — no “black box” hype.
Integrated into pipelines, tools, and dashboards — not stuck in slides or spreadsheets.
At AlignAlytics, we use a structured approach to connect data with the decisions that matter.
Our analytics process identifies the business needs, supporting data, key metrics, and analytical methods required to guide decision-making across functions.
We call these “Decision Areas” - mapped insight spaces built from our Analytical Asset design approach, developed in coordination with IBM Performance Manager.
Our solutions integrate seamlessly across modern data stacks — from cloud infrastructure to automation and AI/ML pipelines.
With roots in early business intelligence practices — from Cognos/IBM to Tableau to Power BI — we’ve been helping organisations mature their analytics for over two decades.
We co-authored The Performance Manager, one of the foundational guides to building Business Intelligence Competency Centers (BICCs), and have continued to lead in practical, business-led analytics design.
ABOUT USLet’s explore how a design-led analytics approach could unlock untapped business value.
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