How Financial Services Institutions Should Think About Unstructured Data - and Why It Matters for a Sound Enterprise AI Strategy

Being able to leverage unstructured data is a critical part of an effective data strategy for 2025 and beyond. To keep up with the competition and AI-accelerated pace of innovation, businesses must be able to mine the treasure trove of value buried in the mountains of unstructured data that comprise approximately 80% of all enterprise data — from call center logs, customer reviews, emails and claims reports to news, filings and transcripts.

Legal Risks of Using Mobile Analytics: How to Protect Yourself

Mobile data provides the eyes and ears of a modern business. It helps us understand where our audience is, what they want to know and what they respond to most enthusiastically. And it can make our apps run faster, too. In a world of ever-increasing consumer choice, this kind of stuff doesn’t just matter. It’s crucial. However, while mobile data can lead to new ideas, it can also be very dangerous if not used properly.

Why PIM is Essential for Managing Product Content at Scale

Managing product content with spreadsheets? That’s costing you sales. Here’s how a PIM can change the game. Many manufacturers and distributors struggle with outdated, manual processes to manage product information across e-commerce channels. These inefficiencies lead to errors, slow updates, and lost sales opportunities. One e-commerce content specialist shared a case study that underscores the urgent need for a better system.

Automated Data Pipelines for Your Modern Data Needs

Automation has helped countless businesses enjoy improved scalability, accuracy, and efficiency. However, traditional automation is known for its complexity. Setting up automation workflows often requires extensive coding knowledge, advanced technical skills, and a deep understanding of underlying systems. This makes it challenging for non-technical users to independently implement and maintain automation solutions.