Documentation

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.