Integrated data, one number for the whole company
System integration, data warehouse and BI dashboards, so sales, operations and finance decide looking at the same data.
AI & Data
Official partner
Companies that trust Ecenture
When it makes sense / 01
When it makes sense
If one of these describes your company, it's worth a conversation.
Every team brings a different number to the meeting.
Reports are built by hand in spreadsheets every week.
Systems don't talk and information is copied from one to another.
You want to use AI, but your data is still scattered.
What we deliver / 02
What we deliver
From scattered data to reliable KPIs.
System integration
APIs and jobs that keep ERP, CRM, e-commerce and spreadsheets in sync.
Data warehouse and lakehouse
One central store, modeled for analysis, with history and automatic refresh.
Data pipelines
Monitored extract, transform and load jobs, with alerts when something fails.
BI dashboards
Dashboards in Power BI and other tools, with KPIs defined together with each team.
Quality and governance
Data quality rules, data dictionary, access control and GDPR/LGPD.
Data consulting
Data maturity assessment and a prioritized roadmap.
How we can work together / 03
How we can work together
Lens, Build and Scale applied to this service.
- Focused consulting
Lens
A specific data or integration problem: we assess systems and sources, recommend the path and lay out the next steps.
- Fixed scope
Build
An integration or BI project with fixed scope, timeline and price.
- Monthly capacity
Scale
Monthly capacity to evolve pipelines, integrations and dashboards, with a backlog you prioritize and an SLA.
Technologies / 04
Technologies
Broad experience: since 2012 we've worked across the market's main stacks, on projects in 11 countries. Technology is chosen for the problem and your team, not our preference.
Integration and pipelines
- Azure Data Factory
- AWS Glue
- Airbyte
- Fivetran
- Apache Airflow
- dbt
- n8n
- Python
Storage
- Snowflake
- Databricks
- BigQuery
- Azure Synapse
- Microsoft Fabric
- Amazon Redshift
- PostgreSQL
- SQL Server
BI and visualization
- Power BI
- Tableau
- Looker
- Metabase
- Apache Superset
Governance
- Microsoft Purview
- Great Expectations
- OpenMetadata
Process / 05
How we work
- 01
Diagnostic
We map sources, the KPIs that matter and where numbers diverge today.
- 02
Strategy
Data architecture, KPI model and prioritization by team.
- 03
Implementation
Pipelines and dashboards delivered team by team, validated with the people who use the numbers.
- 04
Evolution
Load monitoring, new KPIs and support for each team.
FAQ / 06
Do I need a data warehouse?
Not always. With few sources, a direct integration may be enough. We recommend central storage when there are many sources and history to analyze.
How much does it cost?
It depends on scope. After the 30-minute diagnostic call, we send an investment range before any formal proposal.
Do you work with Power BI?
Yes. We also embed Power BI in portals when KPIs need to reach customers or partners.
Also in ai & data / 07