How CluedIn can help?

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

Learn about the role of Master and Metadata Management in managing your end-to-end data estate.

Learn about the role of Master and Metadata Management in managing your end-to-end data estate.

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

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

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.

We talk through the different evolutions of data catalogs and how technology may obsolete what you think you want in a data catalog.

The industries reaction to the limitations in the Data Warehouse was to the complete opposite.

It's a long story

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

Your data landscape will adapt, change and evolve over time. There is not one platform for everything.

Why pull, when you could push?

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?

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?

There are different benefits that are gained from cleaning data at source, in a unified platform and on use.

It's the only way

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?

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?

Data needs a lot of care before we get it to the point where it is usable.

Every cloud...

In-Memory databases are solving huge challenges. They also have their own flaws.

We have all tried it, but why does it fail?

Think about it. You have probably attempted this type of project many times before. Why did it fail?

Impossible?

Traditional data integration approaches make it impossible and impractive to achieve a company-wide view of your data.

What does it all mean?

Seeing scores of data quality don't mean a thing unless you can explain the scores.

What do I need?

A Data Foundation is so much more than just technology. We talk through all the pieces of the puzzle.

Cloud First

A Cloud Native Master Data Management system is key to the success of modern MDM needs.

Where are you?

We talk through the different stages of data maturity.

There is a plethora of public data available.

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.

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.

FinOps is a critical part of your Data Foundation.

Data Lineage is so much more than Wikipedia tells us. 

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!

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.

This guide will take you through some of the extra choices you have for processing data in CluedIn.