Author: Bidya Bhushan Bibhu

I'm a Data Product Manager with extensive experience in managing data-related products and programs. I excel at simplifying complex data into actionable insights, leading teams to innovate and create products that make a real difference. Passionate about turning data into decisions and value.
Data

Federated Learning: A Privacy-Preserving Approach to AI

Data privacy is becoming an increasingly critical aspect of analytics and machine learning. Organizations face challenges balancing data utility and privacy, especially with strict regulatory requirements such as GDPR and CCPA. In response, companies like Google have pioneered advanced privacy-preserving techniques, such as federated learning and differential privacy, which enable robust data insights while maintaining privacy. Let’s explore these methods and how they redefine data … Continue reading Federated Learning: A Privacy-Preserving Approach to AI

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Data, Data Products & Innovations

Inside Netflix: Infrastructure for Real-Time Data Handling

Introduction In today’s fast-paced digital landscape, real-time data processing has become essential for companies that need to make quick decisions at scale. Netflix, a leader in streaming and data-driven decision-making, handles immense volumes of real-time data every day. To deliver smooth streaming experiences and personalized content recommendations, Netflix’s infrastructure processes massive amounts of streaming data in real time. Drawing from insights shared on the Netflix … Continue reading Inside Netflix: Infrastructure for Real-Time Data Handling

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Data, Data Governance

The Impact of Data Quality on Business Success

Introduction:As a data professional, I’ve come to realize that data quality is essential for the health of any data-driven business. Clean, consistent, and well-managed data is the backbone of effective analytics and decision-making. Recently, I explored an insightful approach by Airbnb to tackle data quality challenges, which they call the DQ Score. Inspired by Airbnb’s innovative framework, I’ll share my perspective on the importance of … Continue reading The Impact of Data Quality on Business Success

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Data, Databases

What is the Data Lakehouse Model?

As data evolves, so must our architecture. The lakehouse is the future—a system built for the demands of speed, scale, and diverse data types — Bidya Bhushan Bibhu Introduction: In recent years, the explosion of data and increasing demand for real-time analytics have led to significant evolution in data architectures. Traditionally, organizations relied on data warehouses for structured, transactional data and data lakes for large … Continue reading What is the Data Lakehouse Model?

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Data, Data Governance

Data Quality: Impact on Business & Machine Learning

Module 1: Introduction to Data Quality 1.1 Understanding Data Quality Fundamentals What is Data Quality? Data quality refers to the state of qualitative or quantitative data that determines its fitness to serve its purpose in a given context. High-quality data must possess these key characteristics: 1.2 Impact of Poor Data Quality Business Impact Analysis Case Study: The $20 Million Data Quality Mistake A major retail … Continue reading Data Quality: Impact on Business & Machine Learning

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India, Risk & Fraud Management

RBI’s 2024 Fraud Risk Guidelines: Strengthening Banking Security

Reserve Bank of India (RBI) recently released updated guidelines for managing fraud risks in banks. This framework is designed to enhance security, prevent fraud, and protect customers. The guidelines aim to detect suspicious activities early, improve reporting practices, and hold accountable those involved in fraudulent activities. Let’s break down the key elements of these guidelines to understand how they’re shaping a safer banking environment. Overview … Continue reading RBI’s 2024 Fraud Risk Guidelines: Strengthening Banking Security

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Data

The Future of Data Products: Trends and Innovations

When we think of “product,” it’s commonly seen as the outcome of either human or mechanical efforts, or natural processes. Merriam-Webster defines a product as “something produced by human or mechanical effort or by a natural process.” In the realm of business and marketing, a product can be anything—tangible or intangible—offered to the market to fulfill customer needs and desires. Be it a physical object, … Continue reading The Future of Data Products: Trends and Innovations

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Product

Powering Product-Led Growth with AI

Overview In today’s fast-paced digital landscape, Artificial Intelligence (AI) isn’t just a buzzword—it’s a critical asset for driving product success. As product managers, we must be ready to harness AI’s power to create smarter, faster, and more user-centric products. AI is already transforming industries, and with the right approach, it can be the key to unlocking #product-led growth. “AI isn’t just a tool—it’s the key … Continue reading Powering Product-Led Growth with AI

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Data, Product

Measuring the Impact of Your Data Team: A Simple Guide

In today’s world, data is everywhere. But how do we know if our data team is really making a difference? Let’s break it down in simple terms. The Big Idea When we talk about measuring a data team’s impact, we’re looking at how their work helps the whole company do better. It’s not just about fancy charts and numbers – it’s about real results. Four … Continue reading Measuring the Impact of Your Data Team: A Simple Guide

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