How can CluedIn help?
These white papers will help you build your use case for solving your challenges with CluedIn.
How does the Data Steward and Data Citizen play a role today
Involving the business
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
Clearing things up
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
Are there more than one?
We talk through the different evolutions of data catalogs and how technology may obsolete what you think you want in a data catalog.
Why DataOps and DevOps will converge
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.
Why is my Data Lake not working
Or working as well as it could
The industries reaction to the limitations in the Data Warehouse was to the complete opposite.
Why does it take me so long to get data at work
It happens everywhere
We talk through some of the reasons why data is so hard to consume across your business.
Why do I not trust our company data
It's a long story
The path to useable data is long and treacherous, we give the reasons for why you don't trust the data you have.
One data platform to rule them all
It doesn't exist
Your data landscape will adapt, change and evolve over time. There is not one platform for everything.
Why is streaming interesting for my business
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.
How does the CluedIn merging engine work
Why is it breakthrough?
We have been deduplicating data the same way since the dawn of MDM. Most take a very naive approach to solving it.
Where do I fix my dirty data
Here? There? Everywhere?
There are different benefits that are gained from cleaning data at source, in a unified platform and on use.
What is connected data and why is no one doing it
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?
The idea of a Universal ID
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?
Why don’t you have timely access to data
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 useable.
The Problem with the In-Memory Trend
In-Memory databases are solving huge challenges. They also have their own flaws.
Why have I never achieved the 360 view of our customer
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?
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.
Data quality metrics
What does it all mean?
Seeing scores of data quality don't mean a thing unless you can explain the scores.
What resources and process do I need to make a Data Foundation a success
What do I need?
A Data Foundation is so much more than just technology. We talk through all the pieces of the puzzle.
Data Maturity Model Frameworks
Where are you?
We talk through the different stages of data maturity.