---
title: Chief Data Officer (CDO) Advisory - Data Management First
description: Chief Data Officer Advisory CDO Strategy Data Management
image: https://www.maoperatingsystem.com/hubfs/Slide4-1.png
---

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## Accelerate your Data Science and AI Journey with our Practical "Data Management First" Approach to Successful Data Science & Data-Driven Business Outcomes

Our Chief Data Officer (CDO) Advisory practice brings a practical "Data Management First" mentality to improving the operational effectiveness of business processes and the value-add results from data science (AI, Machine Learning, Statistics, etc.).

![Slide2-1](https://www.maoperatingsystem.com/hubfs/Slide2-1.png "Slide2-1")

![Slide2](https://www.maoperatingsystem.com/hubfs/Slide2.png)

### Step 1. Slow Down - Data Management **then** Data Science

![Slide3](https://www.maoperatingsystem.com/hubfs/Slide3.png)

### Step 2. Recognize that "Data" **means different things to different people**.

![Reference Data Master Data Mgmt Reusable Materials-1](https://www.maoperatingsystem.com/hubfs/Reference%20Data%20Master%20Data%20Mgmt%20Reusable%20Materials-1.png)

### Step 3. Identify and organize around well-established **Data Domains** that represent the **Data Subjects** that make sense to YOU

 

![Slide5](https://www.maoperatingsystem.com/hubfs/Slide5.png)

### Step 4. Understand how Data Domains **relate to each other** and interact throughout their **lifespan**

 

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![Slide7](https://www.maoperatingsystem.com/hubfs/Slide7.png)

### Step 5. Leverage a **purpose-designed** Data Management Platform from day 1 to bring your data together using your business designs as **easy-to-manage data rules** (not custom code!)

![Slide8](https://www.maoperatingsystem.com/hubfs/Slide8.png)

### Step 6. Establish dedicated "Data Management" **professionals** and roles to look after your data content as it grows.

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