Metrics mean different things
Teams calculate revenue, margin, pipeline or stock measures differently and cannot reconcile reports.
BI strategy · Data engineering · Tableau
Business Intelligence Implementation & Tableau Development Services
ERPixel connects ERP, CRM, finance, inventory, marketing and other data sources, builds a reliable analytical layer and turns agreed business metrics into management dashboards and reports.
Business questions → Data sources → DWH and ETL → BI platform → Dashboards → Decisions
A complete analytical system
Implement business intelligence around decisions—not isolated charts
Business intelligence implementation aligns the questions decision-makers need to answer with source data, KPI definitions, a governed data model, reliable refresh pipelines, the BI platform and user access. ERPixel can deliver the full path from requirements and architecture through Tableau development, deployment, validation and training.
Common BI implementation challenges
Reporting fails when the data and ownership behind it remain unresolved
A practical BI implementation strategy addresses the causes of unreliable reporting before expanding the dashboard estate.
Data is split across systems
ERP, CRM, accounting, marketing, databases and spreadsheets each show only part of the operating picture.
Reporting is manual
Analysts repeatedly export, clean and combine files before decision-makers can review performance.
Dashboards precede requirements
Visuals are built before business questions, calculation rules and expected interpretation are agreed.
Refreshes and access are fragile
Failed pipelines, unclear permissions and developer-dependent reports undermine adoption and trust.
BI solution architecture
Create one traceable route from operational data to a business decision
The exact architecture can use direct connections or a data warehouse. The governing principle is that every displayed KPI has an owned source, calculation and refresh path.
Ask
Business questions
Decisions, users, KPIs, definitions and reporting priorities.
Source
Operational systems
ERP, CRM, finance, inventory, marketing, spreadsheets, databases and APIs.
Prepare
DWH and ETL
Extraction, cleaning, transformation, validation, consolidation and analytical data models.
Publish
Tableau and BI
Datasets, calculations, reports, dashboards, filters, access and scheduled refresh.
Use
Teams and decisions
Management and functional owners interpret shared metrics and take action.
Business intelligence implementation services
Build the strategy, data foundation and reporting layer as one program
Scope can cover a new BI implementation, a focused reporting workstream or improvement of an existing analytical environment.
BI strategy and requirements
Define business questions, stakeholders, KPIs, current reports, data availability, priorities and a practical BI technology roadmap.
Data architecture and DWH
Choose direct connections or a warehouse, design the analytical model and consolidate data from multiple operational sources.
ETL and data integration
Extract, transform, clean, validate and schedule data pipelines across ERP, CRM, finance, marketing and external systems.
Tableau development
Develop datasets, metrics, calculations, dimensions, filters, parameters, reports and dashboards around approved business logic.
Tableau Server implementation
Plan installation, configuration, administration, publishing, access rights, refresh and production deployment.
Training and improvement
Train business users and analysts, document the reporting model and extend dashboards or sources after adoption.
BI implementation roadmap
A seven-step BI implementation process
The plan confirms meaning and data before presentation, then validates the solution with the people responsible for the business numbers.
- 01
Business discovery
Identify decisions, users, existing reporting, KPI definitions, pain points and the first valuable scope.
- 02
Data-source assessment
Review systems, tables, spreadsheets, ownership, data quality, history and access constraints.
- 03
BI architecture
Define direct or DWH architecture, the data model, refresh frequency, access model and platform responsibilities.
- 04
Data integration and preparation
Build extraction, transformation, cleansing, validation, aggregation and scheduled pipelines.
- 05
Dashboard development
Confirm business logic and calculations, then develop and iterate the analytical presentation.
- 06
Validation and deployment
Reconcile reports with business owners and configure publishing, access rights, refresh and production operation.
- 07
Training and improvement
Prepare users and analysts, monitor adoption and evolve the solution with new questions and sources.
Plan from the evidence
Need a BI implementation plan grounded in your systems and reporting needs?
Share the decisions you need to support, current reports, source systems, users and known data-quality constraints.
Confirmed Tableau expertise
Tableau capability from data preparation through server deployment
ERPixel uses Tableau as part of a governed BI solution rather than treating visualization as a substitute for reliable data.
- 01
Tableau Server
Architecture, installation, configuration, Tableau Services Manager, administration, user access, publishing and deployment.
- 02
Dashboards and reports
Business metrics, calculations, dimensions, filters, parameters and analytical navigation for management and operational users.
- 03
Tableau data preparation
Tableau Prep, extracts, cleaning, transformation and preparation of reusable analytical datasets.
- 04
Connected data sources
PostgreSQL, MySQL, MS SQL, Excel, Google Sheets, ERP and Odoo, DWH and external marketing platforms.
Data integration and governance
Make the reporting layer dependable across system boundaries
The BI software implementation must retain clear ownership and controls from source to published result.
Source ownership
Identify the authoritative system and owner for each field and business event.
Shared metric definitions
Document calculation rules, dimensions, exclusions and expected interpretation before scale-out.
Quality and reconciliation
Validate completeness, mappings, transformations and priority totals against agreed references.
Refresh reliability
Define schedules, dependencies, failure visibility and recovery responsibilities for data pipelines.
Access control
Publish information to the appropriate users and departments through a defined permission model.
Maintainable delivery
Keep data models, transformations and reporting logic understandable so the solution can continue to evolve.
Business intelligence use cases
Apply one analytical foundation across management and operations
The reporting portfolio should grow from validated questions and reusable data rather than disconnected dashboard requests.
Sales and pipeline analytics
Sales performance, pipeline analysis, conversion, win rate and forecasting-related reporting.
Financial reporting
Management reporting, revenue, margins, profitability, unit economics and financial dashboards.
Inventory and supply chain
Inventory levels, stock turnover, purchasing, warehouse and supply-chain indicators.
Manufacturing analytics
Manufacturing performance, inventory, purchasing and operational KPIs across the production model.
Marketing attribution
Combine ERP sales with Google Ads, Google Analytics, LinkedIn and other marketing-source data.
Executive dashboards
Consolidate approved measures across departments and systems for management review.
Published BI delivery evidence
Data engineering and Tableau in real multi-system environments
These documented projects show ERPixel working across requirements, source systems, DWH and ETL, Tableau deployment and functional reporting.
01
Large-scale manufacturing
Tableau Server for manufacturing analytics
ERPixel implemented Tableau Server and dashboards using ERP and external marketing data for sales, purchasing, inventory, pipeline, lead conversion and supply-chain reporting.
- Centralized Tableau Server environment
- ERP and external marketing data
- Management and operational dashboards
02
Diversified multi-business holding
PostgreSQL DWH, ETL and Tableau reporting
ERPixel consolidated SAP, Odoo, accounting and Excel data through a PostgreSQL warehouse and Java ETL services, supporting twelve focused reporting workstreams.
- Cross-system data consolidation
- Cleaning and standardization
- Financial, HR and inventory analytics
03
Global advanced-device manufacturing
Integrated ERP, data warehouse and Tableau analytics
ERPixel connected a complex Odoo manufacturing environment with a separate data warehouse and Tableau layer, combining operational ERP information with marketing and external data for advanced analysis.
- Operational ERP and DWH integration
- Tableau analytics layer
- Marketing attribution across external sources
Why ERPixel
Combine business analysis, data engineering, ERP knowledge and Tableau
The implementation team can work on the layers that determine whether business users trust and adopt BI.
- 01
Business-process context
Translate operational and management questions into owned metrics and reporting requirements.
- 02
ERP and source-system knowledge
Understand how sales, finance, inventory, manufacturing and marketing data is created.
- 03
DWH and ETL engineering
Build the analytical model and pipelines required when direct reporting is not sufficient.
- 04
Tableau implementation
Deliver dashboards and reports together with Tableau Server configuration and access.
- 05
Validation with owners
Reconcile data and calculations with the teams responsible for the underlying business process.
- 06
Adoption and evolution
Train users and continue improving the analytical solution after initial deployment.
Related implemented services
Connect BI delivery to the systems and processes that produce the data
Future dashboard and Tableau pages are intentionally not linked until they are implemented.
Odoo Integration
Connect Odoo with external operational systems and establish reliable data flows.
Odoo IntegrationBusiness Process Automation
Turn operating events and decisions into controlled cross-system workflows.
Business Process AutomationManufacturing Solutions
Connect production, inventory, procurement, finance and reporting around manufacturing operations.
Manufacturing SolutionsBI implementation FAQ
Questions to resolve before building the reporting estate
What is business intelligence implementation?
It is the coordinated design and delivery of requirements, source integration, data models, DWH or direct connections, ETL, a BI platform, dashboards, access, validation and user adoption. The objective is reliable decision support, not only visualization.
What are the main steps of a BI implementation?
ERPixel uses business discovery, data-source assessment, architecture, data integration and preparation, dashboard development, validation and deployment, followed by training and continued improvement.
How do you create a BI implementation roadmap?
The roadmap prioritizes business decisions and users, evaluates source readiness, defines target architecture and ownership, and sequences data, reporting, validation and adoption work into useful increments.
Do we need a data warehouse for business intelligence?
Not always. Direct connections can suit focused, well-structured sources. A DWH becomes useful when several systems, history, reusable transformations, performance, governance or consistent cross-functional metrics require a separate analytical layer.
Can ERPixel connect BI to our ERP, CRM and other systems?
Yes, subject to source access and technical assessment. Confirmed experience includes ERP and Odoo, SAP, accounting software, databases, spreadsheets and external marketing platforms.
Does ERPixel implement Tableau Server?
Yes. ERPixel has published experience implementing Tableau Server as a centralized analytics platform and can cover architecture, installation, configuration, administration, access, publishing and deployment.
Can ERPixel develop existing Tableau dashboards?
Yes. Work can include assessing existing datasets, calculations, report logic, performance, access and refresh processes before improving or extending the dashboards.
How do you validate BI reports and KPI calculations?
Definitions, source ownership and calculation rules are agreed first. Outputs are then reconciled with source records and existing references together with the business owners responsible for the measures.
Can ERPixel train analysts and business users?
Yes. Training can cover dashboard use, interpretation, filters and navigation for business users, plus relevant data-preparation and report-development practices for analysts.
Start with the decisions and data
Build a BI implementation roadmap for your reporting environment
Tell ERPixel which decisions the business needs to support, where the data lives and what currently makes reporting slow or unreliable.