Documents Library

E-Books

    • [e-book] Compliance

    The Guide To 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. Starting from September 2018, data collection for AnaCredit is due to start, and the regulation will come into full force in 2020. The e-book answers 10 key questions, ranging from how data collection will work, to how firms should prepare for the regulation.

    • [e-book] Data Migrations

    Data Migration for Humans

    What is a data migration—really? How involved do you need to be in the process? Is it just an IT problem, or does the whole business have to devote attention to it?

    • [guide] Data Migrations

    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.

Case Studies

White Papers

    • Best Practices

    Architecting Systems for Effective Control of Bad Data

    Bad data is unavoidable, and even small data issues can have enormous impact. This whitepaper examines how businesses can architect systems from the ground up to better manage bad data, and which tools and practices can be utilized for a more effective data validation and correction loop.

    • Best Practices

    Your Guide To Enterprise Data Architecture

    The volume of data is increasing by 40% per year (Source: IDC). In addition, the structure and quality of data differs vastly with a growing number of data sources. More agile ways of working with data are required. This whitepaper discusses the vast options available for managing and storing data using data architectures, and offers use cases for each architecture. Furthermore, the whitepaper explores the benefits, drawbacks and challenges of each data architecture and commonly used practices for building these architectures.

    • Anonymization

    Addressing Data Anonymization Challenges

    With a well-designed data anonymization process, it's possible for businesses to obtain reliable test data that provides the same use case coverage as the original production data—without falling victim to data security, privacy, and licensing issues. This white paper discusses reasons for and best practices of data anonymization and the advantages of a maintainable, customizable approach with CloverETL.

    • Best Practices

    Designing Data Applications The Right Way

    Utilizing the power of a data integration tool, organizations can future-proof towards large data volumes and complexity. This white paper discusses how to make the most of the data integration layer when designing data applications.

    • Best Practices

    Designing Your Data Future

    It's no secret that data assets are increasing exponentially. With this dramatic growth in volume and complexity, the need to move, manipulate, and analyze data is taking center stage. Today's imperative is to design a data workflow optimized for performance, agility, and usability.

    • Human Resources

    Conquering HR system sprawl and manual data entry without replacing your HR systems

    New rapid data integration techniques are available to cost-effectively reduce the intensively manual "human integration".

    • Big Data

    Take a Break from Big Data

    What exactly is the Big Data buzz about? Is it possible to work with big data without "Big Data"?