---
title: "2022 Data Leadership: Top Cloud Analytics Mistakes – and How to Avoid Them"
description: Data-Focused Executives from 100 Mid-Market Companies Reveal the Top Challenges Facing Their Data, Analytics, and AI Strategies and How They’re Working to Overcome Them.
image: https://www.coriniumintelligence.com/hubfs/COR_IRONSIDE_SOCIAL_1200x628px-1.gif
---

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# 2022 Data Leadership: Top Cloud Analytics Mistakes – and How to Avoid Them

**![COR_IRONSIDE_SOCIAL_1200x628px](https://www.coriniumintelligence.com/hs-fs/hubfs/COR_IRONSIDE_SOCIAL_1200x628px.gif?width=500&height=262&name=COR_IRONSIDE_SOCIAL_1200x628px.gif)**

The past two years have shown us  
how vital it is for companies of all  
sizes to remotely enable superior  
decision-making with data-driven  
technologies.

 

While most executives understand  
the benefits of migrating data and  
services to a cloud-based analytics  
platform, securing the budget to do  
so remains an issue.

 

Our research shows that while the  
majority of organizations are over  
halfway through their migration,  
leaders feel unprepared when it  
comes to integrating operational  
and transactional data sources  
within these new data ecosystems.

 

Mid-tier organizations need the  
right talent and tools to successfully  
realize the value of their data  
and analytics framework in the  
cloud.

 

Our research shows that  
many companies are increasingly  
prepared to work with cloud  
consulting partners to access the  
skills and capabilities they require.

 

This survey of 100 data and analytics  
leaders from the financial services,  
insurance, telecoms, retail, and  
manufacturing sectors highlights  
the challenges enterprises face at  
each step of the data modernization  
journey – from designing the right  
data architecture to developing a  
cloud migration roadmap.

 

**![COR_IRONSIDE_SOCIAL_1200x628px](https://www.coriniumintelligence.com/hs-fs/hubfs/COR_IRONSIDE_SOCIAL_1200x628px.gif?width=500&height=262&name=COR_IRONSIDE_SOCIAL_1200x628px.gif)**

The past two years have shown us  
how vital it is for companies of all  
sizes to remotely enable superior  
decision-making with data-driven  
technologies.

 

While most executives understand  
the benefits of migrating data and  
services to a cloud-based analytics  
platform, securing the budget to do  
so remains an issue.

 

Our research shows that while the  
majority of organizations are over  
halfway through their migration,  
leaders feel unprepared when it  
comes to integrating operational  
and transactional data sources  
within these new data ecosystems.

 

Mid-tier organizations need the  
right talent and tools to successfully  
realize the value of their data  
and analytics framework in the  
cloud.

 

Our research shows that  
many companies are increasingly  
prepared to work with cloud  
consulting partners to access the  
skills and capabilities they require.

 

This survey of 100 data and analytics  
leaders from the financial services,  
insurance, telecoms, retail, and  
manufacturing sectors highlights  
the challenges enterprises face at  
each step of the data modernization  
journey – from designing the right  
data architecture to developing a  
cloud migration roadmap.

 

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