Building a Strong Data Foundation: Overcoming Common Challenges in Data Integration, Deployment, and Experimentation

Building a Strong Data Foundation: How Organizations Can Overcome Fragmentation, Slow Deployment, and Experimentation Gaps

By Jyothsna Santosh — AI & Data Science Leader, Human-Centered Innovation, Banking, Retail & Healthcare

Note: The insights shared here reflect industry-wide observations and my personal professional experiences. They do not represent or reference my current employer.


Introduction

Data has become a defining differentiator for modern enterprises. Yet despite increased investment in data infrastructure, many organizations still face persistent challenges in turning raw data into real business value. These obstacles rarely stem from a lack of tools. Instead, they arise from technology fragmentation, siloed teams, and disconnected operational processes.

A strong data foundation—supported by the right architecture, governance, and experimentation culture—is essential for customer experience, innovation, and operational agility. Below is an exploration of the most common barriers organizations face, and the strategies that can h

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