Data Management

Software Company Achieves GDPR Compliance and Simplifies Data Privacy Processes by 80%

Challenges

Become General Data Protection Regulation (GDPR) compliant
Understand and document how personal data is captured, managed, and processed
Incomplete understanding of risk and compliance requirements

Results

Implement a Privacy-by-Design framework to manage privacy across the business proactively.
DPO can monitor, track, and report GDPR compliance status in real-time using the collaborative platform.
Greater visibility and contextualization enabled the simplification of processing activities by 80%

Become GDPR-compliant and document how personal data is captured, managed, and processed.

When the European Union's General Data Protection Regulation (GDPR) came into effect, a $700M Us-based global software company knew it would be impacted. It must prepare for this new data privacy regulation to protect EU citizens' data privacy. To comply with GDPR, companies must understand and document how they capture, manage, and process personal data.

A Mid-Market Professional Services Company Uses EA to Govern Data

Challenges

No information governance and, as a result, poor data quality
Needed to capture the data flow between systems
Needed an EA tool that could provide breadth, depth, and flexibility

Results

Established data governance and clear data lineage
Established inventory and saved hundreds of thousands in application costs
Created a single source of truth to strengthen EA practice

The company had no data governance and thus had dirty data

A midmarket professional services company must protect its intellectual property as its people's knowledge and skills are paramount to the revenue model. The Company decided to start at an elemental level and properly manage and govern its data. Metadata was not defined or worked across hundreds of applications, and over time, the data became very dirty and unorganized. There was no information governance, and data quality was poor and thus unreliable.

Modernizing IS and Mapping Data Within a French Central Administration

Challenges

Identification and definition of major business concepts
Modeling of the concepts of the different domains of business information
Highlighting the links between business concepts and their implementation in IS databases

Results

Full visibility of the concepts of the different areas of business information and the links between the data
Implementation of a single platform for all stakeholders
Data governance and implementation of an internal framework to optimize the quality and use of data

First challenge: identify business concepts via a collaborative tool

As part of the modernization and transformation of Government information systems, the State Administration Department launched an IS transformation process in 2015. In this context, the department responsible for the administration, change, and data governance of information systems, started a data mapping exercise.

Bizzdesign Announces New Leadership Team Following Merger With MEGA and Alfabet

May 27, 2025

Utrecht, Netherlands, May 27, 2025

Bizzdesign, a leading enterprise transformation SaaS company, today announces its new Leadership Team for the combined organization following its merger with MEGA International and Alfabet. Operating under the unified name Bizzdesign, the company solidifies its position as a global leader in enterprise transformation.

About Bizzdesign

Bizzdesign is a global enterprise transformation SaaS company, offering an end-to-end suite spanning Enterprise Architecture, Strategic Portfolio Management, Governance, Risk & Compliance, and Transformation Collaboration. Through a data-driven and AI-powered approach, Bizzdesign accelerates transformation from vision to value by enabling teams to plan, design and govern change collaboratively. 

Fuel Intelligence and Scale AI
With Data Management

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Let Your Data Work Harder

Smart decisions need smart data. When information is fragmented or poorly governed, trust breaks down and the high data quality needed for enterprise analytics is compromised. Strong Data Management unifies sources, defines ownership, and keeps pipelines flowing to enable AI adoption, eliminate silos and feed the Digital Twin.

Govern Data. Drive Smarter Decisions.

Break down silos and improve access to trusted data.
Accelerate AI adoption with connected, high-quality information.

Business Glossary Management

Speak a Common Data Language

Define a shared glossary across business and IT.
Assign clear ownership for clarity and accountability.
Improve data literacy, compliance, and transparency thought consistent terms and traceability.