Data Infrastructure & Business Intelligence

Build Reliable Data Foundations For Smarter Business Decisions

We help organizations structure, transform and exploit their data ecosystems across the full analytical lifecycle.

From raw enterprise data to AI-augmented insights, Datilog designs scalable BI systems that combine automation, transparency and human decision-making.

Talk with someone at DatilogExplore Our Approach

End-to-End Data Flow

From retrieval and transformation to reporting and operational intelligence.

AI-Augmented Operations

Leveraging automation and AI as accelerators for analytical performance.

Human-Controlled Systems

Maintaining strategic human oversight across intelligent workflows and decisions.

Data • Business Intelligence • ETL • Power BI • Reporting Layer

Data, Business Intelligence& ETL Consulting Services

Datilog helps companies build reliable business intelligence platforms, automated ETL pipelines, reporting layers and Power BI dashboards connected to ERP, CRM, finance, operations and cloud data sources.

The objective is not to create more reports. It is to create a trusted decision system where every business KPI is clear, traceable, governed and ready to support action.

Discuss Your BI ProjectRead ETL Guide
Why BI Projects Lose Trust

Business Intelligence FailsWhen Data Logic Is Not Controlled

Many companies invest in dashboards but still depend on manual Excel files, duplicated KPI definitions and inconsistent numbers between operational systems and BI reports.

The issue usually starts before visualization. It appears in the way data is extracted, transformed, modeled, documented and governed. Datilog works across the full BI chain so decision-makers can understand where figures come from and why they can be trusted.

  • Replace fragmented Excel reporting with reliable BI pipelines
  • Align finance, sales, supply chain and operations around shared KPI definitions
  • Build Power BI semantic models connected to ERP, CRM, Snowflake and cloud platforms
  • Improve trust in dashboards through data quality controls and reconciliation logic
  • Create an end-to-end business intelligence platform that business teams can actually use
Data & BI Capabilities

From Raw DataTo Business-Ready Intelligence

We connect the technical reality of data platforms with the business reality of reporting, governance and decision-making.

ETL & ELT Pipelines

Design automated data flows that extract, clean, transform and load operational data from ERP, CRM, spreadsheets, APIs and databases into analytics-ready platforms.

  • Source-to-target mapping
  • Transformation rules
  • Incremental refresh logic
  • Data validation checks

BI Architecture & Reporting Layer

Structure a reporting layer that separates raw data, business logic, semantic models and dashboards so every KPI remains traceable and maintainable.

  • Data warehouse modeling
  • Semantic model design
  • Metric definitions
  • Reusable reporting datasets

Power BI & Executive Dashboards

Build Power BI dashboards that support decision-making instead of simply displaying disconnected charts.

  • Finance dashboards
  • Sales performance reports
  • Procurement visibility
  • Operational scorecards

Data Quality & Governance

Create controls that help teams understand where numbers come from, why they changed and whether they can be trusted.

  • KPI governance
  • Reconciliation rules
  • Access management
  • Documentation standards
End-to-End BI Architecture

A Clear BI PipelineFrom Sources To Dashboards

1

Sources

ERP, CRM, finance, operations and external data

We identify the systems that generate business events: SAP, CRM, finance tools, procurement systems, operational applications, spreadsheets and third-party APIs.

2

Ingestion

Automated ETL and ELT data pipelines

We structure repeatable extraction and loading patterns with clear refresh logic, error handling and source-to-target documentation.

3

Modeling

Data warehouse, reporting layer and semantic model

We transform technical data into business-ready entities, dimensions, facts and KPI definitions that can be understood by BI teams and business users.

4

Analytics

Power BI dashboards and decision workflows

We create dashboards, scorecards and analytical views that support finance, sales, supply chain, operations and executive decisions.

Use CasesDatilog Supports

We focus on business-critical reporting domains where data reliability directly impacts decisions, performance and trust.

Finance Reporting

  • Revenue and margin dashboards
  • Month-end reporting automation
  • Power BI reports reconciled with ERP figures

Sales & Customer Visibility

  • Customer performance analysis
  • Sales pipeline dashboards
  • Order, invoice and payment monitoring

Supply Chain & Operations

  • Stock movement visibility
  • OTIF and service-level reporting
  • Procurement and purchase order analytics

Data Platform Modernization

  • Migration from legacy BI to Snowflake or cloud platforms
  • Data quality remediation
  • Reporting layer redesign

Business-First Data Mapping

We translate source system fields, business rules and reporting needs into clear mapping documents so technical teams and business stakeholders can work from the same truth.

Automated Refresh & Controls

We help define refresh rules, exception handling and reconciliation checks so reports stay reliable after the initial deployment.

Decision-Ready Dashboards

We design dashboards around operational questions, KPI ownership and action paths, not only around visuals and chart libraries.

Related Data & BI Insights

Build Authority AroundETL, BI Pipelines & Reporting

What Is ETL in Business Intelligence?

Understand how ETL turns raw operational data into trustworthy BI dashboards.

Read article

Business Intelligence Pipeline: From Sources to Dashboards

A practical guide to building a BI pipeline that business teams can trust.

Read article

Reporting Layer in Business Intelligence

Why the reporting layer is where technical data becomes business meaning.

Read article
FAQ

Data, BI & ETLQuestions Companies Ask

What is the difference between ETL and business intelligence?

ETL is the process that extracts, transforms and loads data. Business intelligence is the broader discipline that uses prepared data to create dashboards, reports, KPIs and decision workflows. A reliable BI environment depends on strong ETL or ELT foundations.

Can Datilog work with Power BI, SAP and Snowflake?

Yes. Datilog supports data and reporting projects involving ERP data, SAP reporting logic, Snowflake migration, Power BI semantic models, KPI governance and business dashboard modernization.

Do you only build dashboards?

No. Dashboards are only the visible layer. Datilog also works on source data understanding, data mapping, ETL logic, data quality, semantic models, reporting governance and user adoption.

When should a company redesign its BI architecture?

A redesign becomes necessary when reports do not match source systems, business teams no longer trust dashboards, KPIs are calculated differently across departments, refresh processes are manual or reporting depends too heavily on spreadsheets.

Let’s BuildA BI Platform People Trust

Discuss your ETL pipelines, reporting layer, Power BI models, ERP data integration or business intelligence modernization roadmap with Datilog.

Talk With Datilog
Human Conversation • Enterprise Context • Operational Challenges

Let’s DiscussYour Operational Context

Whether you are modernizing reporting environments, improving operational coordination, structuring data ecosystems or automating workflows, Datilog helps organizations navigate complex enterprise realities.

No aggressive sales process. Just direct discussions around operational needs, existing systems and transformation objectives.

Strategic & Operational Discussions

We discuss operational constraints, reporting environments, system coordination, workflow challenges and transformation priorities.

Real Human Interaction

You speak directly with people familiar with enterprise operations, data environments and modern operational systems.

Start The Conversation

Tell us about your operational environment or current challenges.

No pressure. No automated funnels. Just a conversation around your operational context.