The Guide to Data Migration Projects

The Guide to Data Migration Projects breaks down a typical data migration into 13 project stages. It explores best practices and some red flags so that you can take the right approach to delivering your project.

More Guides

Guides & White Papers

Data Integration Software

The Buyers' Guide to

Architecting Systems For Effective Control Of Bad Data

Your Guide to Enterprise Data Architecture

Designing Data Applications The Right Way

Data Migration for Humans

What makes a data migration successful?

Data Modeling and Data Integration

The Guide to Data Migration Projects

Data Migration for Humans

Conquering Challenges Of Data Anonymization

The Guide to AnaCredit

10 Things You Need to Know about AnaCredit

Looking for data integration software but not sure where to start?

Start with our Buyers' Guide.

This guide walks you through everything you should be considering when choosing the right software for your business - from how to identify your organization's needs and capabilities to planning for the future and tips to get the most out of a demo.

Read now and discover what you need to be asking potential vendors.


Bad data is unavoidable. But you can (and should) design your data processes to manage that bad data effectively.

Read the white paper to discover:

  • Best practices for automated error handling
  • How to involve business users in error management
  • How reporting can help auditing and process improvement


Is a data warehouse or a data lake the best option for your business?

Or is your best choice for enterprise data architecture something different?

This white paper looks at what each option involves, and the advantages and disadvantages of data warehouses, data lakes, data vaults, data hubs, data marts and more. 

Does your business handle data with an Excel file full of formulas and macros, being exchanged over email between people who don't really understand how it works?

If this approach is becoming unsustainable and error-prone, read this white paper to learn a better way.

Download and discover:

  • The importance of building in a separate data integration layer
  • How to separate the business logic from the data itself
  • How a data integration layer can speed up development, improve access to data and future-proof processes.

If you're facing the prospect of a data migration, this e-book will help you understand how to prepare and plan for a successful project. 

Download the e-book now and discover:

  • The danger of thinking a data migration is 'just an IT project'
  • How to minimize complexity
  • The importance of building in repeatability from the start

Data models provide a graphical, intuitive way for both business and technical stakeholders to visualize complex data structures and relationships.

But data models have historically required development effort to turn them into actionable code. 

The CloverDX approach can help automate this process.

Bringing data models and data integration together can improve collaboration between business and IT, speed up time to production and turn data models into ETL jobs at the click of a button.

Download the Guide to Data Migration Projects and discover the 13 stages involved in a migration, and the best practices to make each one a success.

The guide will show you:

  • How to scope your project properly
  • Why data discovery should be done before your budget
  • How to plan and work with understandable milestones
  • The importance of building an iterative data migration process

Getting high-quality test data can be a real challenge when it comes to testing. 

Synthetic data can never represent the same use case coverage and quality as real production data. But using production data can risk violating security or privacy policies. 

This white paper outlines how you can anonymize production data effectively to get the best possible data for testing.

10 Things You Need To Know About AnaCredit

AnaCredit (The Analytical Credit and Credit Risk Dataset), is a project from the European Central Bank (ECB) to create a shared database containing information on bank loans to companies. Credit institutions across the Eurozone will be required to report specific, standardized data on loans and other credits.

This e-book answers 10 key questions about AnaCredit and explains how to prepare for its data demands.

Video Webinars

Data Anonymization - Improve Release Quality with Better Test Data


Turning Data Models into ETL Jobs at the Click of a Button


Automated Data Architecture Development


Choosing The Right Data Architecture For Your Business


Analyzing the Analytics Function


Mind your D's and Q's: Ensuring Data Quality in Your Projects


Surviving a Data Migration


From Ad-Hoc to Automatic

Data Anonymization - Improve Release Quality with Better Test Data
Discover how you can generate data that's as lifelike and close to production data as possible, without breaking privacy or compliance regulations.
Watch and discover:
  • What data anonymization really is
  • How it’s different to generated synthesized data
  • When you should use each version
Turning Data Models into ETL Jobs at the Click of a Button

Discover how to make your data models directly usable in IT operations.

Bridge the worlds of business and IT by generating actionable code directly from your data models. We'll show you how this approach can:

  • Improve transparency of your data processes - ideal for making compliance simpler
  • Reduce duplication of effort and complex processes involving many teams
  • Accelerate time to production with drastically reduced development cycles
Automated Data Architecture Development

This webinar examines 3 case studies where data integration tools have been just as valuable in developing a data architecture as they are in operating that architecture. 

  • A financial institution that dramatically reduced time to production
  • A company that automated regular updates to an analytics warehouse (and stopped using Excel)
  • An example of anonymizing real data to use in testing, overcoming strict privacy and security issues. 
Choosing The Right Data Architecture For Your Business

How do you choose the right data architecture for your needs?

Watch this webinar and discover:

  • The advantages of replicating operational data into various 'stores'
  • What some of those options involve, including overviews of data warehouses, lakes, hubs, vaults and more
  • Best practices for building those architectures
Analyzing the Analytics Function

This webinar looks at how a data integration platform can enable analysts to spend more time analyzing, and less time on the mundane work such as validating and cleansing data and delivering results.

  • Improve trust in results by protecting analysis from changes in data structure, location or quality
  • Create repeatable analysis workflows easily
  • Automate reading, writing, validation and logging
Mind your D's and Q's: Ensuring Data Quality in Your Projects

This webinar explores some techniques for ensuring data quality in your systems and looks at how you can use CloverDX to improve the quality of your data.

  • See how to detect issues early and prevent them from entering your systems
  • Create actionable reports to allow data quality issues to be understood and resolved
  • See how built-in validation tools in CloverDX can help identify and fix errors
Surviving a Data Migration

Who should be involved when migrating data between enterprise applications? What does moving data actually involve? How should you navigate the delicate dynamic between IT and business folks?

Watch the webinar and learn how we managed our own data migration, and the things we learned during the process.

From Ad-Hoc to Automatic

Watch this webinar and see how you can use CloverDX to simplify and automate data integration processes.

We also look at real-life examples of how people use CloverDX for reporting, data migration, data warehousing and analytics.