TL;DR

  • Customer: Encube Ethicals — global pharma manufacturer with plants in India and the US.
  • Problem: Monthly KPI reporting took 5-7 days, 70% of analysis happened in spreadsheets outside dashboards.
  • Solution: Clarista federated SAP + sales systems, built a conversational analytics layer for finance.
  • Outcome: KPI time cut by 95%, real-time margin and batch-level profitability now visible.
  • What changed: Finance now spots cost issues in hours, not weeks. Pricing decisions are data-driven instead of gut-feel.

Customer Overview  

Encube Ethicals is a global pharmaceutical manufacturer specializing in topical formulations, with plants located across India and the U.S. Known for delivering affordable, high-quality products to patients and brands worldwide, Encube operates a lean organization where every decision—regarding cost, yield, or margin—directly impacts competitiveness.

The Challenge  

Encube’s finance team needed timely answers from complex data scattered across SAP, sales systems, and dashboards. Despite dozens of dashboards, obtaining a straightforward answer often requires cross-referencing reports, wrangling spreadsheets, and frequently escalating the issue to IT.  

Monthly profitability and cost analysis—like identifying batch-level margins or regulatory losses—was mostly manual, error-prone, and delayed. This slowed pricing decisions, masked operational inefficiencies, and limited the team’s ability to respond to cost fluctuations or supply chain shifts.  

Key Pain Points  

The Clarista Approach  

Clarista delivered a governed, AI-powered layer between Encube’s raw data and business questions—no data copying, no rip-and-replace.  

  1. Connect – Real-time integration with SAP and sales systems via Clarista’s storage-less Data Fabric. No data duplication. No brittle pipelines.  
  1. Manage – Clarista Navigator created clean, governed datasets with business-friendly semantics, while AI Copilot standardized definitions. Built-in profilers flagged quality issues before they became reporting errors.  
  1. Consume – Executives and analysts got real-time dashboards, alerts, and interactive tools to explore performance by batch, plant, product, or customer. Financial KPIs, such as margin percentage, cost per unit, and wastage, were automatically calculated. Trends, outliers, and profit drivers became instantly clear.  

What Changed  

With Clarista, Encube’s finance team now gets answers in hours—not days. Instead of preparing data, they’re using it. Pricing changes, production tweaks, and margin improvements are backed by live batch-level insights. Clarista turned a reactive reporting loop into a proactive decision engine.  

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Encube's Measurement of Improvement Before and After Using Clarista

Why It Mattered  

Clarista helped Encube transition from siloed systems and spreadsheets to a single, connected source of operational truth—without disrupting existing tools or teams. The finance lead now walks into board meetings with live answers, not outdated slides. Cost signals are identified early, pricing is data-driven, and operations remain aligned with margin targets.

THE OUTCOME

Problem: Monthly KPI reporting took 5-7 days, 70% of analysis happened in spreadsheets outside dashboards.

YOUR SCENARIO

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Frequently asked questions

What does Encube Ethicals do?

Encube is a global pharmaceutical manufacturer specialising in topical formulations, with manufacturing plants in India and the United States. They serve patients and pharma brands worldwide with a focus on affordability and quality.

What was Encube's challenge?

The finance team needed timely answers from data scattered across SAP, sales systems, and dozens of dashboards. Monthly profitability and cost analysis was largely manual — 5-7 days of spreadsheet work and IT escalations — which delayed pricing decisions and masked operational inefficiencies.

How did Clarista solve it?

Clarista federated SAP and the sales systems into a single governed data layer and built a conversational analytics surface for the finance team. Instead of building dashboards, users now ask questions in plain English and get answers with the underlying data cited.

What were the measurable results?

95% reduction in monthly KPI reporting time, 70% reduction in spreadsheet-based analysis, real-time visibility into batch-level margins, and a single source of truth across previously siloed systems.

How long did the deployment take?

Encube went from kickoff to first production use case in roughly 10 weeks. The hardest part was data mapping across SAP and sales — once that was governed in Clarista, additional use cases shipped in days.

Can other manufacturers replicate this?

Yes — the architectural pattern (federated semantic layer + conversational interface + governed access) is industry-agnostic. We have similar deployments in CPG and chemicals. Talk to us about your scenario →