Businesses are at a high risk to violate data privacy if they don’t embrace a threefold perspective of the General Data Protection Regulation, formed by legal, technical and business points of view. The article below dissects how ignoring that led to the breach cases of the first two years of GDPR — and what we can learn to avoid making the same mistakes.

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Part 1

Technical & organizational measures in perspective

By reflecting on data privacy breaches of the early years since the General Data Protection Regulation (GDPR) came into force, in May 2018, both law practitioners and professionals from the technical and business areas, develop a more critical perspective on upcoming challenges. It is necessary to understand the pitfalls and neglect that led some companies to prepare themselves insufficiently or leniently, despite the two-year period between adoption by the European Union and the enforceability of GDPR. …

Nobody wants to take decisions based on data if doubting its accuracy. It’s like a fly on your data soup. That’s why one of the main challenges for everyone that works with data is its quality and integrity.

Now take a deep breath. I’ll guide you through this nightmare of numbers that don’t match expectations. Whether you need to make data-driven decisions or to provide data for the people who have this power, the five questions below will help you deal with “wrong” numbers.

1. Are apples being compared to bananas?

Data nerds often refer to bananas and apples in a metaphor of absurd comparisons. When analyzing the sales of fruits, if you’re measuring the sales of apples while your client is measuring sales of bananas, the numbers won’t match (only by a coincidence). …

Ninguém quer tomar decisões baseadas em dados, se desconfia que não estão corretos. É como encontrar uma mosca na sua sopa de dados. Por isso, um dos principais desafios para qualquer pessoa que trabalha com dados é a qualidade e integridade destes.

Agora respire fundo. Vou guiar você pra sair desse pesadelo de números que não batem com as expectativas. Tanto se você precisa tomar decisões baseadas em dados, quanto se seu trabalho é entregá-los para quem tem esse poder, as cinco questões abaixo ajudam a lidar com números “errados”.

1. Estão comparando maçãs e bananas?

Não é à toa que os nerds de dados sempre usam a expressão “comparar banana com maçã”, como metáfora para comparações absurdas entre dados. Para analisar as vendas de frutas, se você medir as vendas de maçãs enquanto o cliente mede as vendas de bananas, os números não vão bater. …

Ingrid Pino

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