Master Data Management Gain unprecedented insights into your business operations We focus on aligning Master Data Management (MDM) solutions with your business goals and vision. We understand that a single version of the truth for key data domains is critical to drive business growth, but how to accomplish that can vary.Our teams will work with you to implement a solution that meets your organisation's unique environment, while leveraging both general data and industry standards to allow for an agile implementation of MDM. Through this approach, we are able to prove out the programme on a domain by domain basis. This ultimately will provide a quicker time to implementation on the domains within the business that are most prioritised for centralisation and further control. Align MDM solutions with your business goals and vision Create a trusted view of business-critical data Pro Briefcase Data Domains and Elements Understanding data domains and data elements is key to assigning accountability and responsibility across your organisation. Our approach takes into consideration business models and current systems architectures such as business applications, integrations, and industry trends. Pro Building office Data Quality Take control of your information. Standardise data to ensure quality and consistency across your organisation. Data standardisation and quality checks are required to get the most value out of MDM. Data quality early in the lifecycle is a key part of data operations. Pro Document Consent Business Rule Definition A single source of truth that can be modified only under trusted circumstances is at the center of a successful MDM programme. We work with you to define business rules that enable correlating key data domains from internal and external sources into a single “Golden Record” enabling trust and accuracy in the data. Pro Document Stack Domain Hierarchy Alignment Critical business questions can’t be answered without understanding the relationships between the key business domains. Our experience in multi-domain MDM enables these relationships, helping you answer critical business questions and establish hierarchical relations between key domains. Pro Legal Briefcase Change Management and Adoption Implementing a change management strategy is an essential element in executing your MDM programme. Our team can establish an effective roadmap and plans for training, communicating, and implementing business process change that will lead to successfully adopting an MDM platform. Pro Location Globe MDM Target Operating Model There is not a one-size-fits-all operating model. We partner to understand your unique requirements and then map the most appropriate model to best align with your business goals. Whether working in a Centralised, Decentralised or Federated Model, we have the experience to transform your programme. Harnessing the potential of customer data platforms The customer is king, but 'customer data' is king is even truer in this digital world. Discover the benefits of a customer data platform to harness its momentous power. Leadership Michael Pang Michael is a managing director with over 20 years’ experience. He is the IT consulting practice leader for Protiviti Hong Kong and Mainland China. His experience covers cybersecurity, data privacy protection, IT strategy, IT organisation transformation, IT risk, post ... Learn More Key partners The power of partnership is undeniable. Our alliance partnerships and full-service technology consulting capabilities bring many support benefits to our clients, including better efficiency and performance. Some of our key partners include: Featured insights and client stories INSIGHTS PAPER Technology-modernisation projects must define and deliver tangible value to justify investment Unleash growth with technology modernisation. Drive value, lower costs, increase flexibility and meet regulatory requirements effectively. WHITEPAPER Enabling Enterprise AI Adoption Through Next-Generation Governance Artificial intelligence (AI) has become increasingly important in the enterprise, thanks in part to the rise of generative AI (GenAI). While not a new technology or concept, AI (including machine learning) holds tremendous promise to transform... CLIENT STORY Data Excellence Paves the Way to SAP S/4HANA Readiness Elevate your business with robust data governance & SAP S/4HANA readiness. Learn how our client achieved seamless transitions & future-proofed operations. INSIGHTS PAPER Mastering Data Dilemmas: Navigating Privacy, Localisation and Sovereignty In today's digital age, data privacy management is paramount for businesses and individuals alike. With the ever-changing regulatory landscape surrounding data protection, organisations must adapt swiftly to ensure compliance and maintain trust with... INSIGHTS PAPER How data sovereignty and data localisation impact your privacy programmes The concepts of data sovereignty and data localisation stem from a desire to keep data within a country’s borders for greater control. While the broad strokes of various privacy laws may be consistent across jurisdictions, governments will dictate... WHITEPAPER The Regulators Are Optimising Their Use of Data. Are You? Can financial institutions manage effectively in a world where issues and breaches are known to regulators before the chief compliance officer or anyone else in the organisation even learns about them? Button Button Case Studies: Case Study: A large reinsurance company was struggling because it did not have the detailed information required to measure performance. Data was only available at aggregated levels to provide financial results, but not at the more detailed level needed to shed light on the portions of the business driving the bottom line. Additionally, the organisation’s parent firm was requesting information on specific lines of business that could not be produced without a great deal of manual effort and research. The company was spending more time creating financial statements than analysing them. We helped the client in the following ways: Determined the key information required to better measure results Analysed the data available within the organisation and identified gaps Designed business processes and implemented technology required to gather detailed data needed by the business Implemented reporting that enabled the business to use the more detailed information for driving process improvements and results Case Study: A multi-brand global footwear company with wholesale, retail, and online operations was experiencing increased margin pressures and flat annual growth. One area of concern was their overall understanding of consumer behavior, the effectiveness of their customer outreach, and the identification of highly profitable and potential highly profitable consumers. With Protiviti’s guidance, the client consolidated all this information into one high-speed memory database. The process required several common solution elements to achieve this result: Aligning Master Data between systems Alignment between Business and IT on common metrics and their calculations Scheduled movement of data from seven separate systems, enabling daily insight Optimising system for sub-second response time and iterative exploration of data and scenarios Case Study: This banking client was working on a strategic effort to streamline regulatory and risk reporting that would enable greater efficiency in compliance with CCAR, Call Reporting, and other requirements. The client had an existing number of data warehouses in their environment, but wanted to get to a “Golden Source” for future state reporting, as well as reduce operational costs. The approach included: Provided resources to help facilitate information/requirements gathering to better understand both existing reporting repositories as well as requirements for future state reporting Assisted in overall design conversations geared towards understanding the future direction of the programme Facilitated QA/Testing on the overall solution to ensure it met business requirements and needs Collaborated with data stewards on data requirements and definitions of key data elements (KDE)
