Many Files, Many Numbers
Reports are assembled by hand, metrics differ, and significant time is spent reconciling versions.
KAVOSH DECISION INTELLIGENCE RADAR
Make better decisions with data
We connect data so reports and dashboards answer real business questions.
One shared metric definitionTraceable to sourceAnalytics connected to action
A Beautiful Dashboard Is Not Enough
A trustworthy number
If revenue, active customer, or cycle time means something different to each team, a dashboard only presents the disagreement more elegantly. The credible path begins with definition, quality, and provenance.
The goal is not to build the most charts. It is to build the fewest metrics that meaningfully change a decision.
One Metric, One Source
Definition, owner, refresh cadence, and calculation path remain visible and reviewable.
Data and reporting services
Dashboard quality depends on the hidden layers beneath it. Every architecture combines the capabilities your decision actually needs.
Source Integration
Databases, files, APIs, and operational applications in one durable route.
Cleansing & Quality
Completeness, uniqueness, consistency, freshness, and business rules.
Warehouse & Data Model
A unified historical core for fast, extensible analysis.
KPI & Semantic Layer
Formula, owner, cadence, and dimensions defined in a shared language.
Executive & Operational Dashboards
Each role receives the level of detail appropriate to its decisions.
Diagnostic Analytics
Decomposition, comparison, segmentation, and driver exploration.
Forecasting & Scenarios
Future estimates with uncertainty ranges and continuous accuracy checks.
Alerts & Automated Reports
Role-aware signals triggered by thresholds, context, and action needs.
Staged Analytics Maturity
Start at the right stage
Data maturity grows in stages. A complex model cannot build trust on an unreliable report. We start at the level that creates the most usable value today.
Descriptive: What happened?
Trusted reporting, trends, current state, and one source for core metrics.
Diagnostic: Why did it happen?
Factor decomposition, group comparison, and driver exploration.
Predictive: What may happen?
Future scenarios with uncertainty and measurable model accuracy.
Prescriptive: What options do we have?
Compare scenarios and consequences to support accountable human decisions.
Trust Is an Organizational Contract
Data access and quality
Every metric needs a clear meaning, source, owner, and access boundary for the underlying detail.
Trusted by designData & Metric Catalog
Business meaning, formula, owner, and intended use remain documented.
Quality Rules
Data issues have tests, thresholds, alerts, and accountable owners.
Source & Calculation Lineage
Every dashboard number remains traceable through transformations to source.
Role-based Access
Sensitive details are protected by role, organizational scope, and least privilege.
From Decision Question to Daily Use
Dashboards for decisions
Producing charts is not the finish line. Metrics must run on trusted data, enter meetings and operations, and have a clear owner.
Discover the Question & Decision
Users, meetings, actions, metrics, and real success criteria
Audit Data & Define KPIs
Sources, quality, ownership, formulas, and information gaps
Build the Core & Dashboard Prototype
Data model, refresh flow, and decision-centered experience
Validate & Reconcile
Source checks, scenario testing, and key-user acceptance
Deploy, Train & Evolve
Usage routines, ownership, quality monitoring, and staged growth
DEFINE THE QUESTION. TRUST THE METRIC. ACT ON THE SIGNAL.
Which decision needs better data?
Describe the management question, current sources, and report. We will assess the integration route, KPI layer, and smallest valuable dashboard.