Cloud Cost Optimization: Practical Strategies to Reduce Your AWS/GCP Bill Without Downgrading Performance
Did you know enterprises spend almost eighteen billion dollars yearly on unused or underutilized cloud resources across AWS, GCP, and Azure, accounting for nearly 30% of all cloud spending? With an $18 billion fund, an enterprise could launch revolutionary products and services, expand into multiple new global markets, acquire smaller competitors,...
Why 70% of Your Potential Customers Leave Before Buying — and How Growth Engineering 2.0 Can Stop It
Here’s the harsh reality: even if your marketing is solid and your product is excellent, 7 out of 10 potential customers will abandon your site or app before completing their purchase. It’s not random; it’s because something in your marketing approach, messaging, or user experience failed to connect at the right moment. It is no longer unusual in...
How to Optimize Your Database like a Pro: Tips You Would Not Learn in Tutorials
You have built a flawless front end, your APIs respond in milliseconds, and your servers are more than capable—yet your app still feels sluggish. Why? The culprit is often an unoptimized database. Retrieving data from a database is easier when executed correctly, and no, we're not talking about your Excel sheet. It boils down to poorly designed sc...
AI-Powered Productivity: How Adopting GPT Can Optimize Your Workflow
Gone are the days when you had to oversee piles of files, reply to hundreds of emails, and draft reports on Microsoft Word; today, you make use of Agentic artificial intelligence (AI) tools like GPT to do that, along with planning the scrum for an entire week or a month, reviewing tasks, and optimizing workflow. Generative Pre-trained Transformers...
The Evolution of Data Roles: Analyst, Scientist, and Engineer (Why You Might be All Three)
In the rapidly expanding universe of data, job titles have evolved just as quickly as the technologies that support them. Once upon a time, "data person" was sufficient. Today, however, we distinguish between Data Analysts, Data Scientists, and Data Engineers — each role with its focus, skill set, and value proposition. Although their prefixes rema...
Adopting AI and Data Analytics as Growth Engineering Factors
Despite substantial investments in research-driven marketing and scalable product development, over 70% of businesses struggle to achieve sustainable sales and revenue growth, primarily due to a lack of actionable insights into what truly works. Many organizations fail to validate their strategies through measurable testing, neglect ROI analysis,...
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