Data Experience Stream - July 2024 Edition
Hi,
Welcome to the July edition of our Data Experience Stream!💥
🔊Latest news!
Learn about the importance of DORA (Digital Operational Resilience Act) for banking, financial and insurance companies and how to comply with it easily.
DORA introduces stringent requirements in ICT risk management, incident reporting, operational resilience testing, third-party risk management and information sharing. These regulations will significantly increase workloads for compliance officers, IT and cybersecurity teams, data management teams and legal departments. Additionally, enterprises must update databases to ensure data security and compliance and manage tech vendors effectively to prevent dependencies and ensure resilience.
To address these challenges, BFSI firms must adopt automation for risk assessment, data management, incident reporting, resilience testing, cybersecurity, and third-party risk management. Preparing for DORA now will help ensure a secure and compliant future in the digital financial landscape.
Learn how to do it in our most recent Knowledge Base article.
👁️ What's new?
Witboost 2.0 is Now Available!
The release of Witboost 2.0 represents a significant milestone in our journey to empower customers with complete freedom in shaping their data practices. With this release, users can now adopt their own jargon, standards, governance and architectural choices without any lock-in, making it the first platform in the data management space to offer such flexibility.
Key Highlights of Witboost 2.0:
- Full Customization: The UI is now entirely customizable. Users can adapt it to display the information they need using a comprehensive set of widgets, allowing for the creation of a unique experience tailored to their requirements.
- No Lock-In: Unlike other platforms, Witboost 2.0 allows you to craft your own definitions for Data Mesh, Data Products, and more. This flexibility extends beyond Data Products to include concepts like staging areas, data marts, BI projects, ML sandboxes and others.
- Platform Ontology: Everything in Witboost 2.0 is powered by a platform ontology, providing limitless possibilities for shaping and managing your data environment.
Witboost 2.0 enables you to build your own platform through configuration, offering unprecedented governance and control. Whether you are managing Data Products or other data constructs within your company, Witboost 2.0 is designed to meet your needs.
Learn more by reading the official documentation.
New Integrations
📊 GoodData Integration: Witboost now completely automates the lifecycle of dashboards with GoodData. This integration enables you to define standards for creating dashboards, embedding semantic information and seamlessly moving them through different environments. For example, you can effortlessly promote a dashboard from development to production while maintaining compliance with governance policies.
⚙️ Azure Data Factory Integration: Witboost allows the inclusion of Azure Data Factory in Data Products, enabling self-service provisioning, orchestration and connectors out of the box. By using this template, end users will be aligned with company best practices without needing to manage Terraform or other IaC tools, thereby reducing complexity and enhancing governance and control. The Data Factory is a crucial component for managing data ingestion and orchestration within the Microsoft ecosystem.
New Resources
📑White Paper - Data Governance and Data Privacy: Ensuring Compliance with Regulations
On the topic of compliance, we have something interesting on your way! Compliance with regulations can be assured with sound Data Governance and
Data Privacy. In our recent white paper, we explore what that means in depth.
Explore the challenges enterprises face with Data Quality, security breaches and technological limitations. Understand how proactive Data Governance can improve compliance and protect data integrity from the start.
Equip your organization with the knowledge and tools for effective Data Management!
📔The Essential Guide to Data Product Management
Data Product Management is a hot topic right now. It's nothing new, sure, but it has recently been discussed in Gartner's Hype Cycle which has been making rounds for quite a while.
Here's a summary of what it is and its underlying principles in this essential guide.
In short: Data Product Management is a structured approach to creating, deploying and maintaining Data Products that deliver valuable insights and drive business decisions.
Understanding, implementing and automating this approach will put any organization on a path to data success.
Future events
💥Big Data London - 18|19 September 2024
Next September we will be at Big Data London with an exciting session by our Paolo Platter - Decentralizing Data & Analytics: A Platform Strategy for Balancing Autonomy and Governance.
During the talk, Paolo will explore a platform strategy emphasising the decentralization of data and analytics, aiming to achieve an optimal balance between autonomy and governance, thereby increasing iteration and innovation speed while ensuring compliance with regulations.
Registration is free! Take part and learn how to support the entire data product lifecycle, enabling teams to operate independently while adhering to governance and architectural standards.
Exciting News!
🏆We are immensely proud to announce that Witboost has been shortlisted for the prestigious Data-Enabling Solution of the DataIQ Awards 2024!
This award honours companies and individuals who have demonstrated excellence in the data industry over the past twelve months. Read the full announcement! 🚀
Thank you for joining us. Stay tuned for more updates and insights in our next edition.
The Witboost team