INTRODUCTION

The Ultimate Guide to Doing Data Differently

Blue circle decorated with icons of a treasure chest and money symbols.

Question for you.

Could an organization’s ability to integrate and analyze quality data really be the difference between surviving and thriving?

Think about it. Increasing development spends, vendor sprawl, and poor data quality are directly contributing to rising costs and sinking productivity. Meanwhile, organizations are struggling to connect data silos across complex and changing environments — on-premises, cloud, or hybrid. Now factor in the pressure to implement AI as fast as possible and show the positive impact it has on your business, all while keeping risks to a minimum.


Navigating this uncertainty takes data, analytics, AI, and action. True leaders don’t wait; they act — they work with their data, no matter where it is or how hard it is to reach. And since they trust their data, they’re able to embed AI into every corner of their business.

DOING DATA DIFFERENTLY: Today, 89% of companies have added AI to their data strategy, yet only 26% are deploying AI at scale.1

What if there was a different way?

Imagine having complete freedom to tailor data integration and analytics solutions that align perfectly with your strategic goals or departmental needs, no matter how unique or complex.  

Or having truly clean data that supports real-time decisions and actions, while leveraging AI to equip even your most novice data users with trusted, contextual answers to the hardest questions. 

It’s all possible. But it takes a different mindset. The openness to consider that what you’re looking for might actually be right in front of you. You’ve just been looking at it the wrong way. Be prepared, though, because once you see it, there’s no going back. It’s time to discover where data can take you.

Ready to do data differently? 

So, what exactly does this guide cover? 

We interviewed dozens of industry analysts and talked to hundreds of companies. In those conversations, three key themes kept surfacing. 

  1. Employee productivity is lagging behind expectations and business needs 

  2. When data is everywhere, it's hard to see a path to trusted insights  

  3. Data storage and usage costs are growing faster than expected 

This guide is divided into three parts that examine these issues more closely, explore the impact they’re having on organizations today, and show how innovative companies are coming up with solutions. We’ve included proof points in the form of real customer stories that we’ll refer to as “Data Leader Scenarios.” 

Ready to get started? Head to the next page or click one of the three parts below to jump directly to that section.