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 ...
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 ...
The Mythbuster: Where there is Data, There is Chaos
The role of data in business The benefits of using data correctly Best practice for handling data The role of data in business Data is important in business, and it can help you make better decisions that lead to more success. However, like ...
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 ...
Myth Buster: Machine Learning or AI is the Future...
Machine learning holds the key to solving many industry problems currently, but it's not the only tool for the future. As long as you have simple techniques for a problem that you're solving, machine learning is not necessary. This is important to know be ...
Mythbuster: The best analysts are the fastest order takers
Often, an analyst is a person who extracts necessary values from the database and produces values and insights for business managers. And thereby, the faster one can do this, the better analyst they are. Sounds familiar? This post elaborates on the com ...
Mythbuster: Only Data Scientists Can Analyze Data
Many people think you need to be a data scientist to extract insights from it. This can’t be further from the truth. Typically, a data scientist is considered as someone who uses statistical methods, machine learning, and AI approaches to solve problems, ...