BI is valuable when it becomes a daily decision tool — not a quarterly reporting artifact

Single source of truth for KPIs

Business intelligence is the “X‑ray” of your company: it reveals hidden processes and real cause‑and‑effect in performance. Zentavor helps you design the BI strategy, build the data foundation (DWH + data marts), and deliver dashboards that teams actually use — with governance, training and ongoing support

DWH + marts ready for scale

Typical business impact

With clean data models, clear KPI definitions and intuitive dashboards, teams spend less time searching and validating data and more time acting on it

Dashboards for every role

less time to find information

45%

lower reporting support cost

30%

fewer errors from manual reporting

—

less time to analyze

37%

Impact depends on current reporting maturity, data quality and adoption:

We start by aligning KPI definitions and data ownership, then deliver dashboards with measurable adoption

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Solutions /

BI systems

BI strategy

goals, KPI tree, roles
and ownership

Data
foundation

sources, pipelines, DWH
and data marts

Semantic
layer

business definitions
and reusable metrics

Dashboards
& reports

role‑based views
and drill‑downs

Governance

access, quality, lineage, change control

Many companies “have BI” on paper, yet still run on spreadsheets, disconnected reports and conflicting KPI numbers. A real BI system is an end‑to‑end capability: data collection → transformation → storage → visualization → decision workflows

Zentavor focuses on operational reality: multiple internal and external data sources, different teams owning parts of the data, incomplete documentation, and the need to ship value quickly. We design the target architecture, build the data model and data marts, and deliver dashboards, reports and self‑service analytics — with training and support

You can start with a pilot dashboard for a high‑impact area (sales, finance, marketing, operations) and scale to a full KPI tree, corporate data catalog and governance

Core building blocks

If “revenue” or “active users” have multiple definitions, decisions become political. A unified KPI dictionary and a semantic layer create a single source of truth

Different teams report different numbers

Spreadsheet chains break, logic is copied incorrectly, and reporting becomes a full‑time job. Automated pipelines and governed datasets reduce errors and free up analysts for higher‑value work

Manual reports and human error

When data freshness, completeness and lineage are unknown, dashboards are ignored. Monitoring, validation checks and clear ownership rebuild trust

No trust in data quality

BI fails when it’s built for “reporting”, not for decisions. Role‑based views, UX design, training and decision workflows make BI part of daily operations

Dashboards exist, but adoption is low

Start with a measurable pilot. Then scale: more domains, more sources, a stronger semantic layer and mature governance

BI strategy
and KPI tree

Define business questions, KPI hierarchy, owners, and the adoption plan — so BI answers real decisions

Data sources assessment

Audit internal/external sources, data quality, access, and integration constraints. Fix what blocks trust early

Data warehouse
and data marts

Build a scalable storage layer and curated marts for domains (sales, marketing, finance, ops) with clear schemas

Dashboards, reports, and self‑service BI

Design role‑based dashboards with drill‑downs, alerts, and “one‑click to action” workflows

UX design
for analytics

Information architecture and UI design so dashboards are readable, consistent, and adopted by non‑analysts

Training, governance, and support

User training, access control, audit trails, change management — plus technical support to keep BI reliable

We adapt to your existing ecosystem and constraints. Typical stack components:

Data storage

Cloud or on‑prem DWH

Domain data marts

Lakehouse patterns when needed

Data pipelines

ETL/ELT pipelines and orchestration

Transformations and testing

Incremental loads and SLAs

BI and visualization

Dashboards and pixel‑perfect reports

Semantic layer / metrics store

Role‑based access and sharing

Define goals, KPI tree, stakeholders, target architecture, roadmap and success metrics. Identify the first pilot domain with the highest business impact

BI implementation strategy

Capture user roles, required metrics, drill‑downs, refresh frequency, security constraints and integration needs

Functional & technical requirements

Inventory sources, validate data quality, map keys, resolve discrepancies, and define data contracts

Data sources analysis

Build DWH models and curated marts. Establish consistent business logic and reusable metric definitions

Data warehouse and marts

Train business users and analysts: how to interpret metrics, use drill‑downs, and request changes through governance

User training

Design dashboards for speed and clarity: the right granularity, consistent visuals, and decision‑ready layouts

UX and interface design

Monitor pipelines and BI performance, handle updates, and continuously improve data quality and adoption

Technical support

Build and validate dashboards, set refresh schedules, create automated distributions, and implement alerts for anomalies

Dashboards, reports, and alerts

A structured approach reduces rework and ensures adoption

A single, reliable center of truth for business health and KPI dynamics — in real time, not “last quarter”

Independent control tool for leadership

Visualize millions of rows and drill down in seconds. Clear design helps teams make decisions confidently

Interactive dashboards anyone can use

Reduce costs and time spent building reports, eliminate manual steps, and lower the influence of human error

Operational efficiency

Spot patterns in data and validate hypotheses quickly — so teams can iterate and improve performance continuously

Faster hypothesis testing

Share your reporting pain points, data sources, and the key decisions you want BI to support. We’ll propose the target architecture, pilot scope, and delivery plan

Email: info@zentavor.ai

If you can share a few existing reports and data exports, we can identify a pilot scope quickly

What to share to get started

Which domains matter most (sales, finance, marketing, operations)

Current sources (CRM/ERP, web analytics, ad platforms, finance systems)

Top KPI conflicts and reporting bottlenecks

Refresh needs (daily / hourly) and data latency expectations

Security and access model (roles, departments, compliance)

Zentavor — технологическая компания, специализирующаяся на AI‑агентах, машинном обучении и data‑платформах для enterprise‑клиентов в банках, ритейле, логистике, страховании и финтехе

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