Data Governance · from lake to decision

From scattered data to
a reliable asset

Data lake, big data, data engineering, virtualization and modeling under one governance. Data with an owner, measured quality, traceable lineage and LGPD compliance, ready for decisions and for AI.

Assess my data How we govern

data_catalog · accerte.gov governance · 3 active domains

Demo

sales_2026 · gold owner: sales
governed · 99.2%

quality98%

cataloged95%

masked100%
customers_master · mdm lineage: tracked
ok · unique

quality96%

uniqueness99%

coverage92%
events_stream · bronze continuous ingestion
warning · schema drift

quality74%

validated68%

freshness55%

datasets: 1,240 lineage: tracked

[ Market diagnosis ]

Why data becomes a liability when nobody governs it

Collecting data is easy. Trusting it is where most operations stumble. According to Gartner, 63% of organizations do not have, or do not know if they have, AI-ready data practices, and by 2026 companies are expected to abandon 60% of AI projects without ready data. The 4 silent failures that turn data into risk are listed here.

data_health.log · gov.accerte Demo

ERR 01 data.owner = NULL

Data with no defined owner

Nobody answers for the definition. Each area calculates the same indicator its own way and one report contradicts another.
ERR 02 catalog.coverage = 0%

Nobody knows what exists

Without a catalog and metadata, finding the right data becomes a treasure hunt. The result is rework, parallel spreadsheets and decisions in the dark.
ERR 03 data.quality < SLA

Quality nobody measures

Incomplete, duplicated and outdated data ends up in reports and AI models. Poor data quality costs each organization millions per year on average.
ERR 04 lgpd.lineage = UNKNOWN

LGPD risk without traceability

Without knowing where personal data lives and where it has been, serving data subjects and audits becomes a crisis. LGPD fines reach 2% of revenue, up to R$ 50 million per violation.

[ Our Approach ]

Governance from foundation to trust

Three integrated fronts that take your data out of chaos and put it into a reliable, accessible operation, ready for decisions and AI.

01 Foundation

architecture · lakehouse

Where data lives and scales

We structure the central repository with a data lake and lakehouse in medallion layers, from raw data to ready for consumption. Big data with Spark when volume or velocity demand it, without turning the lake into a swamp.

Lakehouse with bronze, silver and gold layers
Open formats: Delta Lake and Apache Iceberg
Big data with Spark, in batch and streaming

Accerte specialists structuring the data platform

plataforma-dados.webp

02 Integration

pipelines · virtualization

How data moves and connects

Data engineering that moves data from source to consumption with reliable pipelines and near-real-time CDC. Where it makes sense, data virtualization provides unified access without copying the data.

ETL and ELT pipelines with CDC, Airflow and dbt
Data virtualization with Denodo and IBM, no copies
DataOps with tests, contracts and observability

data_fabric · live Demo

Connected sources 40+

Time-to-data -60%

Data copied 0gb

03 Trust

catalog · quality · LGPD

How data gains meaning and control

Modeling that makes data mean the same thing to everyone, catalog and lineage to know what exists and where it came from, and quality, MDM and masking so LGPD compliance never depends on luck.

Dimensional modeling and a semantic layer
Catalog, metadata and end-to-end lineage
Quality, MDM and masking for LGPD

medallion · quality Demo

Lakehouse layers bronze → gold

45%

35%

20%

Bronze
Silver
Gold

Data quality · 24m 96% current

catalog: 95% lineage: 100%

Assess your data

Want to know how much you can trust your data today?

We run a governance maturity assessment: catalog, quality, lineage, LGPD risks and AI readiness. You get a risk map and a plan with clear priorities, no commercial strings and no jargon.

Schedule an assessment

[ Results ]

Governed data changes the game

Trust, compliance and speed to decide and to put AI in production, without rework at every question.

governance_scorecard · accerte.gov

governed data · 3 active domains

Demo

98%avg quality

catalog100%

LGPD100%

lineage360°

Lineage · source → consumptiontracked

Data quality · 24m96% ↑

datasets: 1,240 governed ready for AI

Want these numbers in your data environment?

Talk to a specialist

[ Behind the operation ]

Data engineers and architects taking care of your environment

Not a generic ticket queue. A team of data engineers, architects and governance specialists, certified by the leading vendors, dedicated to your context, from business rules to LGPD requirements.

/ 01 context

Whoever talks to you knows your data

A team that understands your business rules, your domains and your sensitive data, not a queue that treats every ticket the same.

/ 02 dedicated team

Assigned specialists, not a rotating pool

The same team follows your data journey over time. Context preserved, zero ramp-up on every request.

/ 03 direct vendor

Official access to the leading vendors

Partnerships with Databricks, Denodo, Cloudera and Quest, leaders in data platforms and governance.

[ Platforms ]

Strategic partners

We are vendor neutral and build the right stack for your case, from enterprise to open source, across multi-cloud. All recognized as leaders by Gartner in their categories.

Dataiku Partner

Denodo Gold Partner

Ready to start?

Reliable data starts with a conversation

In a quick conversation, we analyze your data environment: catalog, quality, integration and LGPD risks. Get an assessment showing where you can gain trust and speed.

Response within 1 business day · Your data is never shared with third parties

From scattered data to a reliable asset