WHITE PAPERS
How CluedIn can help?
These white papers will help you build your use case for solving your challenges with CluedIn.
NEW WHITE PAPER
Microsoft Dataverse and CluedIn: delivering the data that drives innovation
Microsoft Dataverse and CluedIn offer the optimum combination of accessibility, productivity and rapid data value. See our overview and download the white paper to find out more.

Understanding the Four Foundational MDM Implementation Styles
Everything you need to know about the four foundational MDM styles in one handy guide, including the benefits and challenges associated with each, and how to decide which is right for you.

What every Data Leader needs to know about Data Products
Read this paper to learn what data products are, critical success factors, and how to get started.

A Beginners Guide to Prompt Engineering
How to get started with the must-have skill for mastering Generative AI.

Why Master Data Management is essential to Digital Transformation
A solid foundation of high-quality, trusted data is vital to the success of Digital Transformation projects. Read on to find out why.

How data silos are harming your business (and what you can do about it)
Learn about the role of Master and Metadata Management in managing your end-to-end data estate.

What role does CluedIn play in metadata management?
Learn about the role of Master and Metadata Management in managing your end-to-end data estate.

A comprehensive guide to implementing MDM with the Microsoft Intelligent Data Platform
How to build a data foundation in Microsoft Azure to fuel your data-driven ambitions.

Understanding data lineage
Explore the benefits of data lineage as part of an augmented approach to preparing your data to deliver insight

Solving the data trust trilemma
Learn about the three fundamental standards that data must meet in order to be ready to deliver valuable insights.

The Marriage of Microsoft Purview and CluedIn
Discover how Microsoft Purview and CluedIn combine to deliver the data that drives your business.

The business case for Modern Master Data Management
How to build a business case for modern Master Data Management that delivers real business outcomes.

Involving the business
How does the Data Steward and Data Citizen play a role today
We talk through how business users can play a role in the data management lifecycle.

What is the difference between the Data Warehouse and CluedIn
There are many technologies that play a role in your data landscape. In this white-paper we cover how we compliment the Data Warehouse.

What type of Data Catalog do you really want
We talk through the different evolutions of data catalogs and how technology may obsolete what you think you want in a data catalog.

Data will obviously need care
Why DataOps and DevOps will converge
Without a doubt, data requires the same care that our applications and infrastructure does. In the future we will deploy data like we do code.

Why does it take me so long to get data at work
We talk through the different evolutions of data catalogs and how technology may obsolete what you think you want in a data catalog.

Why is my Data Lake not working
The industries reaction to the limitations in the Data Warehouse was to the complete opposite.

It's a long story
Why do I not trust our company data
The path to usable data is long and treacherous, we give the reasons for why you don't trust the data you have.

It doesn't exist
One data platform to rule them all
Your data landscape will adapt, change and evolve over time. There is not one platform for everything.

Why pull, when you could push?
Why is streaming interesting for my business
Do you sit there and refresh your email every 5 seconds? No, it gets pushed and alerted to you. We should do the same with data.

Why is it breakthrough?
How does the CluedIn merging engine work
We have been deduplicating data the same way since the dawn of MDM. Most take a very naïve approach to solving it.

Here? There? Everywhere?
Where do I fix my dirty data
There are different benefits that are gained from cleaning data at source, in a unified platform and on use.

It's the only way
What is connected data and why is no one doing it
Data is not relational, it is a network of relationships. Why is it so important to give your data the best chance it has to bring value?

Can it exist?
The idea of a Universal ID
We have all attempted it before - to produce a universal ID for a record. Why did it not work and cannot work?

It's right there, why can't we use it?
Why don’t you have timely access to data
Data needs a lot of care before we get it to the point where it is usable.

Every cloud...
The Problem with the In-Memory Trend
In-Memory databases are solving huge challenges. They also have their own flaws.

We have all tried it, but why does it fail?
Why have I never achieved the 360 view of my customer
Think about it. You have probably attempted this type of project many times before. Why did it fail?

Impossible?
I have 1000 systems to integrate help
Traditional data integration approaches make it impossible and impractive to achieve a company-wide view of your data.

What does it all mean?
Data quality metrics
Seeing scores of data quality don't mean a thing unless you can explain the scores.

What do I need?
What resources and process do I need to make a Data Foundation a success
A Data Foundation is so much more than just technology. We talk through all the pieces of the puzzle.

Cloud First
Why is a Cloud-Native Master Data Management platform important?
A Cloud Native Master Data Management system is key to the success of modern MDM needs.

Where are you?
Data Maturity Model Frameworks
We talk through the different stages of data maturity.

There is a plethora of public data available.
How to Enable Public Datasets?
Many firms have cataloged and indexed the datasets to make it relatively easy to find and discover. The challenge with taking two discrete datasets and blending them is that most datasets don't connect point to point like this.

The new data language.
GraphQL vs SQL
In effect, GraphQL is a language that relies on different parts of the query not only running against different sources, but the result also potentially being composed from many sources.

Cost Management...Managed.
Why FinOps is important for your data foundation?
FinOps is a critical part of your Data Foundation.

Data Lineage is so much more than Wikipedia tells us.
Understanding Data Lineage
At its core, Data Lineage is the transparency and visibility over the journey of data as it
flows throughout your business.

Your transactional and unstructured data needs attention to!
Does Unstructured and Transactional Data Make Sense for MDM and CluedIn?
We walk through the cases where unstructured and transactional data makes complete sense to put into your MDM system.

Deciding what data to Master can be tricky.
What Data do I Send to CluedIn?
This guide will take you through some of the extra choices you have for processing data in CluedIn.

Discover why Graph is key to your next MDM implementation.
Why is Graph "key" to the Modern MDM Movement?
This whitepaper details why thinking in Graph for your MDM is key to a modern data stack.

Why is now the time to implement MDM?
Justifying an MDM project to the business
The key to unlocking the value of your data is to make sure that you are delivering the highest quality, governed, integrated data to the edge of the business.

Accelerate your MDM initiatives
Why is MDM quicker to implement on CluedIn, in Microsoft Azure?
How can CluedIn provide a much quicker "time to value" on your MDM initiatives?
WHAT'S NEXT?
Want to learn more about what high quality,
trusted data could deliver for your business?
Book a Discovery Call
Contact our team of experts today to discuss how CluedIn can help solve your toughest data challenges.
Build a Business Case for MDM
Discover how to build a business case for Master Data Management that delivers business outcomes.