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Data-Driven Culture for 2023 and Beyond

Why does a data-driven culture matter? There are several reasons. The most important one is that the data in your organization has tremendous value. Organizations that tap into this outperform their competitors. A data-driven mindset is the key to unlocki ...

Top 5 reasons why Data Projects fail

Top 5 Reasons Why Data Projects Fail?

A data analyst, Eric discovered a troubling trend in his company's customer data. The churn rate was alarmingly high. Concerned about the impact on the business, he mobilized his team to investigate the problem.  Eric and the team spent significant time ...

Startups and Analytics

Can analytics save startups from failing?

Introduction Starting a business is a risky endeavor, with many startups facing a high failure rate. According to a study by the Bureau of Labor Statistics (BLS), approximately 20% of small businesses fail within their first year, and around 50% fail ...

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What is next in Data Literacy? 2023 & beyond…

For several years, executives and leaders have called data and analytics a core skill and top priority. But, the reason and expectations have dramatically changed over time. It helps to understand the past to see where enterprise data literacy is going an ...

Mythbuster: ML/AI are the Best Tools for the Future

It's frequently said that machine learning (ML) and artificial intelligence (AI) are the ultimate tools for the future. Yet, they can only solve 5–10% of business problems. That is because advanced development methods and profound insights into human natu ...

Mythbuster: With Auto ML, No need for Data Scientists

There are a lot of talks these days about Auto Machine Learning but does it really powerful enough to eliminate the need for hiring Data Scientists? Some companies believe that they don't actually need data scientists at all - they can instead use auto-ML ...

Great SQL = Awesome Analyst Myth Buster

Great SQL doesn’t make an awesome analyst

SQL is a critical language for database administrators and data analysts, but that doesn't mean you are automatically a great analyst just because you know how to use it. In fact, there are many different skills and techniques that are necessary in order ...