Data Lakehouse Implementation and Data Culture

The Challenge

Solid maturity, held back by manual bottlenecks

A large industrial player sought to evaluate and consolidate its analytical culture to understand its current level of data maturity. The diagnosis was precise: the team already made decisions based on information and showed solid maturity, with an overall score of 7.42 out of 10. But the operation faced significant systemic bottlenecks:

Manual adjustments in data repositories
Heavy reliance on Excel spreadsheets for control and storage
No unified calculation manuals for KPIs
Difficulty integrating information across departments

Structuring governance and centralizing processes became the priority to ensure data quality and support integrated decision-making.

“I notice that data analysis is gaining momentum within the organization. Much is being done to ensure we have maximum quality information for more informed and accurate decision-making.”

Manager, Industrial Sector Company

The Solution

From maturity diagnosis to a cloud data lakehouse

BIX Tecnologia connected the strategic vision of analytical maturity with the technical modernization of the data infrastructure. Allocated data engineering specialists architected and developed a cloud data lakehouse using Databricks, Python, Spark, and SQL. The project followed well-defined strategic stages:

1
Requirements gatheringGathering requirements to integrate the cloud into the existing ecosystem.
2
Access and governance rulesDefining the access and governance rules for the data.
3
ETL pipelinesBuilding robust ETL (Extract, Transform, Load) pipelines.

Results

One secure, unified, and scalable environment

The new architecture directly addressed the root causes identified in the initial diagnosis.

BeforeAfter

Processes

Before: Decentralized processes, prone to manual edits

After: A secure, unified, and scalable environment

Data availability

Before: Data siloed in departments or stored in fragments

After: Data automatically extracted, processed, and made available for BI tools

Operations

Before: Repetitive operational work

After: Repetitive work eliminated

Governance

Before: Spreadsheets for control and storage

After: Strengthened governance and a centralized repository

The centralized repository now sustains the continuous improvement of the company's data-driven culture.

Accelerate Your Project in Just 3 Easy Steps

STEP 1

Share your needs

Tell us about your challenge on a call. We will discuss team structure, success criteria, timeline, budget, and required skills to define how we can help your project.

STEP 2

Define project requirements and team structure

Within days, we will finalize your project specifications, define an engagement model, and select and onboard your team.

STEP 3

Start the project and track the results

Together, we will set the milestones and kick off the project. We will closely monitor progress, report updates, and continuously adapt to your needs.

Tell us your challenge