» See · The end result

Every function. Every level. One version of truth.

Self-service dashboards and reports designed around the decisions and reviews people actually make — not just charts. Drill from a national number to a single invoice in a few clicks, with row-level security on every view, on web, native Android & iOS and tablet.

✓ Ready-made dashboards, configured to you — live in weeks, not months
Executive Dashboard Live
Revenue
₹482 Cr
▲ 12%
Gross margin
23.4%
▲ 1.2 pt
Target achvd
92%
gap 8%
Revenue by zone · last 9 weeks
NorthWestSouthTrend
» Why weeks, not months

The hard part is already done.

The slowest part of any BI program isn't the technology — it's gathering requirements, aligning every team on KPI definitions, designing the screens, and testing until the numbers hold. We've done that work across 120+ enterprises and hundreds of dashboard deployments. You start ahead, with pre-built data models and ready-made dashboards — we configure and customize them to your business.

Pre-built data models

Industry- and function-specific models, perfected over the years — BI- and AI-ready, with governed KPI dictionaries already defined.

Ready-made dashboards

Screens for every function below, already designed around real reviews and tested in production — no blank-page workshops, no year of iteration.

Configured to you

Your hierarchies, your territories, your KPI nuances — configured and customized, not rebuilt. That's why time-to-delivery is weeks, and the second use case is even faster.

» The dashboards, in detail

Pick a function. Problem, solution, and what you get.

Every dashboard below reads from the same governed foundation — so a number here always agrees with the pack, the answer, and the nudge.

SSales & Distribution · most deployed
Sales & Distribution Analytics

Every sale, every channel, every territory — and the action attached.

The problem: Primary lives in the ERP, secondary with distributors, targets in spreadsheets, schemes in email. The Monday sales review spends its best minutes reconciling numbers, growth is celebrated while dumping hides inside it, and nobody can say which scheme actually moved volume.

How we solve it: Our pre-built sales model unifies primary, secondary, targets, schemes and returns into one governed structure — then ready-made dashboards, refined across sales organizations of every size and structure, are configured to your hierarchy, channels and KPI definitions. Every review — national to beat level — starts from the same truth.

  • Primary & secondary trends by brand, SKU, territory, channel, stockist
  • Target vs achievement with balance-to-do at every hierarchy level
  • Dealer/distributor scorecards, channel performance, dumping detection
  • Scheme ROI, discount impact, net realization and pricing views
  • Sales return & order-book analysis; drill from national number to invoice
✓ Reviews start at the decision — the reconciliation debate is gone
Sales · National view Live
Primary
₹42.8 Cr
▲ 6.2%
Secondary
₹39.1 Cr
▲ 4.8%
Tgt achvd
92%
gap 8%
Target vs achievement · by zone
AchievedTargetdrill to invoice »
Scheme ROI2.1×Net realization91.4%Returns1.8%
Market Intelligence · Brand X Live
Market share
18.4%
▲ 0.6 pt
Rx trend
+6%
▲ vs LQ
Rank
#2
in therapy
Share trend · you vs top competitors
Your brandCompetitor ACompetitor B
Campaign ROI2.3×Prescriber coverage84%Trade-spend ROI1.7×
MMarketing & Market Intelligence
Marketing & Commercial Excellence

Internal sales, market share, prescriptions and competition — one view.

The problem: The brand review needs IQVIA in one portal, SMSRC in another, internal sales in a third — three portals, three stories, and a month gone before anyone connects effort to outcome. Campaign and trade spend is defended with anecdotes because the evidence lives in silos.

How we solve it: Our pre-built market-intelligence model joins your syndicated subscriptions (IQVIA, SMSRC, AIOCD) with internal sales and field effort — matched at brand, molecule, therapy and geography level. Ready-made dashboards put share, prescriptions and competitive movement beside your own performance, so brand strategy runs on evidence.

  • Market share by brand, therapy, molecule and geography — trended vs competitors
  • Prescription analytics integrated with internal sales and field effort
  • Brand mix, campaign impact, prescriber and channel effectiveness
  • Competitive movement, launch tracking and pricing dynamics
  • Promotion and trade-spend ROI across modern trade and e-commerce
✓ Brand strategy on evidence, not anecdote
SCSupply Chain & Inventory
Supply Chain & Inventory Intelligence

What's about to stock out, what's about to expire — and where to move it.

The problem: Stock sits in one depot while another stocks out; expiry write-offs surprise the quarter though the data existed all along; and service-level misses surface in customer escalations, not in your reports. Planning runs on last month's spreadsheet.

How we solve it: Our pre-built inventory model tracks stock by depot, SKU and batch against demand signals — with ready-made dashboards for cover, aging, expiry and fill rate, and redistribution triggers routed to owners before the gap becomes a loss. Forecasting runs on the same governed foundation.

  • Stock cover, aging and expiry by depot, SKU and batch
  • Demand forecasting by SKU, geography and season
  • Fill rate, service level and stock-out tracking with root cause
  • GRN/GDN analytics, interbranch transfer visibility, depot optimization
  • Redistribution alerts routed to owners via MVibes
✓ Early warning while there's still time to act
Inventory · Depot health Live
Stock cover
32 days
▲ 4 days
Fill rate
96.1%
▲ 1.1 pt
Expiry risk
14 SKUs
▼ act now
Cover by depot · red = below safety
HealthyBelow safetySafety line
Transfer suggested2 depotsForecast accuracy88%Wastage−22%
Procurement · Vendor view Live
Purchase margin
11.2%
▲ 0.4 pt
Rate variance
−2.4%
favorable
OTIF vendors
87%
13% late
Vendor scorecard · top 5 by spend
Off-contract buys3 flaggedPO cycle time−31%Returns0.9%
PProcurement & Purchase
Procurement & Purchase Analytics

Buy better — and prove it.

The problem: Vendor performance lives in emails and memory; rate variances compound quietly across thousands of line items; and procurement savings are claimed but never traced to the margin line. At enterprise scale, invisible leakage is real money.

How we solve it: Our pre-built procurement model connects purchase orders, receipts, rates and vendor behavior to margins — with ready-made scorecards and variance dashboards that make every rupee of leakage visible and every vendor accountable, configured to your categories and approval flows.

  • Procurement planning and purchase-order lifecycle analysis
  • Purchase margin by vendor, category and SKU
  • Vendor scorecards: quality, OTIF delivery, rate compliance
  • Rate variance tracking and purchase return analysis
  • Exception flags on off-contract and duplicate purchases
✓ Purchase decisions connected to the margin line
FFinance & Collections
Finance & Collections Analytics

From P&L to cash flow to GST — real-time financial truth.

The problem: The month-end close is a scramble, the P&L the board sees disagrees with the one sales quotes, receivables age silently until they're write-off candidates, and GST reconciliation consumes days every cycle.

How we solve it: Our pre-built finance model unifies ledgers, receivables, and tax data into audit-ready structures — with ready-made CFO dashboards, aging views and cash-flow forecasts that reconcile with operations because they read the same governed truth. Collection risk surfaces before it ages, and priority follow-ups reach the field via MVibes.

  • Real-time P&L with cost-center drill-down; trial balance and general ledger
  • Outstanding and aging by customer, territory and salesperson
  • Collection efficiency, customer risk scoring, DSO trends
  • Cash-flow forecasting — see shortfalls before they happen
  • GST & tax analytics: automated reconciliation and compliance
✓ Audit-ready at any moment — no month-end scramble
Collections · Aging Live
Collections
87.4%
▼ 2.1 pt
Overdue 60d+
₹6.2 Cr
watch
DSO
48 days
improving
Receivables by aging bucket
₹1.1 Cr crossing 90d this week — 4 accounts nudged »
GST reconciled99.7%Cash forecast13 weeksRisk-scored accounts100%
Production · Plant 2 Live
OEE
78.5%
▲ 2.1 pt
Yield
96.2%
▲ 0.5 pt
Downtime
−14%
vs LQ
Plan vs actual output · by line
ActualPlanLine 4 — root cause open
Rejection rate1.2%Batch cycle−9%Maintenance alerts2 open
PRProduction & Manufacturing
Production & Manufacturing Analytics

Shop floor connected to demand — so plans match reality.

The problem: Production plans on one number while sales commits on another; downtime patterns surface after the quarter ends; and quality, maintenance and output live in separate systems that meet only in a monthly deck.

How we solve it: Our pre-built manufacturing model ties output, yield, quality and maintenance to the demand and sales picture — with ready-made OEE and plan-vs-actual dashboards by line, batch and plant, configured to your shift and batch structures.

  • Production output, yield and batch-level efficiency by line and plant
  • OEE tracking with downtime root-cause analysis
  • Quality, rejection and rework analytics
  • Maintenance patterns and predictive-maintenance signals
  • Production plan vs demand plan vs actuals — one view
✓ Exceptions surface before they cost you
HRHR & People
HR & People Analytics

The workforce picture behind the business picture.

The problem: A vacant territory is a revenue problem long before it's an HR metric — but manning, attrition and coverage live in the HRMS while their business impact lives everywhere else. By the time the connection is made, the doctor relationships have lapsed and the beat has gone cold.

How we solve it: Our pre-built people model joins headcount, attrition and vacancies with territory coverage and field productivity — ready-made dashboards show where a people gap is becoming a business gap, and vacancy-to-fill timelines carry their coverage impact with them.

  • Headcount, manning and vacancy tracking by function and geography
  • Attrition trends with early-warning cohorts
  • Field-force deployment and territory coverage continuity
  • Productivity and incentive-compliance analytics
  • Vacancy-to-fill timelines linked to coverage impact
✓ People gaps caught before they become revenue gaps
People · Coverage Live
Headcount
4,120
98% manned
Vacancies
38
12 critical
Attrition
11.8%
▼ 1.2 pt
Attrition trend · with early-warning band
Attrition, trailing 12mtrending down »
Coverage continuity94%Time to fill26 daysIncentive compliance91%
CEO Cockpit Live
Revenue
₹482 Cr
▲ 12%
Working capital
₹64 Cr
healthy
Exceptions
3 open
owners set
Priority exceptions · auto-surfaced
  • Margin — West region mix shift · owner: CFO
  • Stock — expiry risk, 2 depots · owner: SCM head
  • Coverage — 12 critical vacancies · owner: CHRO
WBR packauto, weeklyAsk LIAanythingBoards reconciledalways
XExecutive / CXO
Executive Intelligence

The whole business on one screen — and the why behind every number.

The problem: Leadership sees the business through decks assembled from disagreeing sources, days after the fact. Deviations reach the boardroom as surprises, and the first twenty minutes of every review go to whose number is right.

How we solve it: The ready-made CEO cockpit reads live from the same governed foundation as every functional dashboard — revenue, margin, working capital, risk and priority exceptions with owners attached. The weekly review pack generates itself, and LIA answers the "why" in plain language.

  • CEO cockpit: revenue, margin, working capital, outstanding, risk
  • Priority exceptions surfaced automatically, with owners
  • Board-ready views that reconcile with finance — always
  • Auto-generated WBR packs; ask-anything via LIA
  • Deviation alerts before they reach the boardroom
✓ Answers, not exports — the review starts at the decision
» Report types

Every kind of report — automatically.

Standard reportsException reports Target vs achievementTrend & year-on-year Ranking & leaderboardsCohort & comparative Drill-to-invoiceAd-hoc self-service

Designed for adoption, not admiration.

Dashboards fail when they're built around data instead of decisions. Every CORE BI view starts from a real review rhythm — the Monday sales call, the month-end close, the depot stock review — so the screen answers the question the meeting is about to ask.

Role-based by design: a national head, a regional manager and a field rep see the same truth at their own altitude, each protected by row-level security — on web, native mobile and tablet.

Part of the Loop

CORE BI is the SEE stage of the LeapSurge Loop — reading from the same governed foundation as review packs, LIA answers and MVibes nudges.

See your own numbers in it.

Bring one messy reporting problem to a discovery call — we'll show you the ready-made dashboard that solves it, configured to your business.

Book a Discovery Call →