Data, automation and AI for people who run operations.

Short, practical articles on BI, systems integration, applied AI, energy and contact centers, written by people who build these solutions every day.

Power BI Embedded: how to deliver your reports in a branded portal

Learn what Power BI Embedded is, how capacity licensing works and how to build a reporting portal with your brand, your sign-in and access by profile.

Custom dashboard in HTML/CSS or Power BI: when to use each (or both)

Custom dashboard in HTML or Power BI? Compare design, licensing, performance, security and maintenance, and see when a hybrid approach pays off.

Power BI RLS: how to make sure each user sees only their own data

Power BI RLS in practice: static and dynamic row-level security, USERPRINCIPALNAME, permissions tables, testing, embedded reports and common mistakes.

Automated invoice reading: how to use OCR and AI without losing control

Automated invoice reading for energy, water, telecom and supplier bills: OCR or AI, validation rules, ERP integration and how to start with a pilot.

What is a data warehouse and why does your company need one?

What is a data warehouse: how it differs from a transactional database and a data lake, facts and dimensions, ETL and ELT, layers and how to start small.

Custom software or off-the-shelf: when each one pays off

Custom software or off-the-shelf? See when a SaaS or ERP is enough, when custom software pays off, and a checklist to decide with less risk.

Distributed generation credit management: from allocation to billing without spreadsheets

Distributed generation credit management: how solar credit allocation works, the monthly routine, utility bill auditing and the most common mistakes.

ERP and CRM integration: how to make both systems talk without losing data

ERP and CRM integration: what data to sync, methods (API, webhook, iPaaS), source of truth, logs, reprocessing and a step-by-step to get started.

What is Microsoft Fabric and when is it worth migrating your data?

What is Microsoft Fabric: understand OneLake, Lakehouse, Warehouse and capacity, when to migrate from Power BI or Synapse and how to control costs.

Management P&L in Power BI: from chart of accounts mapping to actual vs. budget

Learn how to build a management P&L in Power BI: how it differs from the accounting one, account mapping, subtotals, margins and actual vs. budget.

Process automation with Python: what to automate first and how to measure it

Learn what process automation with Python is, when it beats traditional RPA, examples by area and a checklist to choose the first process to automate.

Power BI consulting: when to hire, what to require and how to judge results

Power BI consulting: when to hire instead of training your team, what a good project includes, questions to ask before signing and red flags.

Call center KPIs: the metrics every manager needs to track

Call center KPIs explained: service level, AHT, ASA, abandonment, FCR, CSAT, occupancy and absenteeism, with formulas, common traps and dashboard tips.

Call centers in 2026: AI cut manual work, but created a bottleneck no one expected

AI in call centers cuts manual work, but it fails with fragmented data. See which data to prepare, how to get started and how to measure results.

Brazil's free energy market: is your operational data ready for the transition?

Brazil free energy market for generators: CCEE settles every hour. See the operational data that cuts deviations, PLD exposure and financial losses.

AI built into the product or AI as a buzzword: how to tell the difference before you buy

How to evaluate AI vendors before you buy: signs of real AI, signs of buzzword, and the questions every manager should ask before signing the contract.

The manager of the future decides with data, not gut feeling

Data-driven decision making: how the manager's role changes, the prerequisites, how to start and the common mistakes. Decide with data, not gut feeling.

Data maturity: what level is your company at?

Learn the 5 levels of data maturity, find out where your company stands with three practical questions, and see what it takes to move up a level.

Business Intelligence: what it is and why your data still isn't working for you

What is business intelligence? See how the BI cycle works in practice and why having Power BI installed is not enough to make decisions with data.

AI agents: your company already has them. The problem is something else

AI agents for business only deliver on integrated, governed data. See why they fail, how to choose the first use case and how to measure the return.

Brazil's tax reform (Reforma Tributária) in 2026: is your data ready for what comes next?

How to prepare your company for Brazil's tax reform: tax classification in master data, system integration and indicators to avoid IBS and CBS errors.

Cyberattacks: scattered data is an entry point

Scattered data, disconnected systems and overly broad access open the door to attacks. Learn how to protect company data and measure your exposure.