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Master Data Management Master Data Management: Building readiness for regulations Compliance can benefit, but so can internal speed and efficiency Master Data Management: Building readiness for future regulations | Compliance can benefit, but so can internal speed and efficiency What’s at stake? As part of their obligation to communicate With this in mind, the discipline of MDM is There are five distinct IDMP standards, accurate and changing product information designed to treat enterprise information as developed by the International to regulators throughout the life cycle of a strategic asset and govern it so it provides Organization for Standardization (ISO): a product, pharmaceutical companies will end-to-end business oversight, a foundation have to adhere to new “product master for strategic capabilities, and operational data” standards for identification of excellence. Master data management is ISO 11615 - Regulated medicinal products (IDMP) and the U.S. more than an IT issue—it is a business need. medicinal product Food and Drug Administration’s Draft Successful MDM programs include strong information Standardization of Pharmaceutical Quality/ business leadership and commitment. Chemistry Manufacturing and Control Data ISO 11616 - Regulated Elements and Terminologies (PQ/CMC). But MDM offers more than just a cleaner path pharmaceutical master data management (MDM) is likely a to regulatory compliance. As better, more product information more enduring and far-reaching concern— accessible data helps streamline processes and the regulatory compliance is only one and speed strategic decisions backed by ISO 11238 - Structured of many reasons to put a strong MDM analytics and data-driven insights, the substance information discipline in place. resulting clarity and consistency can also drive internal benefits. It can also leave ISO 11239 - Dose Although IDMP implementation has been organizations better prepared to satisfy forms, units of significantly delayed, many companies information exchange needs, whether presentation, routes recognize the value of implementing from other company functions, from of administration, MDM extends well beyond meeting governments, or from other third-party and packaging IDMP requirements. In a recent industry partners such as CROs and CMOs. It can study conducted by the Implementation help simplify mergers and acquisitions. ISO 11240 - Units of Regulatory Information Submission Consequently, these qualitative benefits can of measurement Standards (IRISS) Forum, only 3 of 35 study have financial benefits from which a strong participants stated the IDMP delay would business case can be developed. have “significant impact” on their MDM The adoption of these standards programs.1 Other participants noted the Clearly, a better mastery of data, its will touch many functions in delay would have some impact on accuracy, and its integrity is worth the effort pharmaceuticals, for example, part or all of the program while a significant it will take to conquer today’s informational regulatory, clinical, number, 9 of 35, stated there would be silos. A deliberate approach to MDM can pharmacovigilance, technical no impact. establish common terms of reference and operations, manufacturing, and pave the way to working with standards. So, supply chain. All those operational What is master data? By definition, it while IDMP and PQ/CMC are the standards areas will have to be able to work is information that is uniquely identifiable, on the radar right now, they aren’t the only together to align to a common accurate, and shared across multiple changes unfolding in the industry. The broad set of product master data. While business transactions. Business functions application of MDM across product data standards are a great catalyst for and even third parties can share it easily would be long overdue with or without the change, the biggest enabler to without data translation, and everyone new standard. achieving standardization and across the organization agrees on process efficiency is for organizations its definition, standards, accuracy, to master their data, and that is and authority. a discipline in itself. 2 Master Data Management: Building readiness for future regulations | Compliance can benefit, but so can internal speed and efficiency Our take What Master Data Management makes better Large, complex organizations that manage large volumes of information can benefit from MDM to improve data quality. If data quality is poor now, it’s likely due to several factors that are common in organizations. Master Data Management: Why it’s important, what it improves Data challenges without MDM Improvements possible with MDM Varying levels of granularity—when different systems store A single source of the truth for product data across regions, information at different levels, one system might consider a product lines, and manufacturing facilities. An “enter once, use product family to be the product name, while another system many times” approach can lead to improved process efficiency considers also the dosage and formulation strength when and hence lower operating costs defining a product name Inconsistent standards—discrepancies as small as capitalization Improved data visibility and maintenance capabilities that reduce or EU versus US date formats can make data difficult to use data duplications and inconsistencies throughout the enterprise as intended can lead to increased data quality Differences in timing—some systems like clinical data Unique identification of medicinal products with consistency management systems (CDMS) use “frozen” dictionaries during a on data specifics and integrity around elements, structure, and trial, which can cause data quality challenges when combining with relationships—permits better reporting and data insights that other sources can in turn drive better strategic and operational decisions Differences in definitions and context—words have different A standard definition of product attributes including the meanings to different people in different situations, so calling standard “list-of-values” can help ensure all the data has the a drug “available” means one thing to manufacturing but same meaning and a set of values that can be shared both something else in a regulatory setting internally and externally Lack of training, understanding, and compliance—as well as plain Alignment of controlled global vocabularies surrounding product old mistakes—often prevents individuals from entering data information for use in working across multiple global regulatory correctly into systems, which leads to poor data quality directives and initiatives that make use of product master data can result in better preparation for anticipated new regulations across the globe, including IDMP The fragmented status quo Prior to IDMP and other developments, there has been little incentive for a pharmaceutical company’s various business units and departments to use the same controlled vocabularies and master data. So what may be a metaphor in other industries is literal here: They are not speaking the same product language. These silos in data management can erode data quality and make processes inefficient, which can lead to unseen financial losses. 3z3 Master Data Management: Building readiness for future regulations | Compliance can benefit, but so can internal speed and efficiency Identifying master data is only the first step in the challenge of putting it to work effectively. Proper implementation of master data components—such as data standards, governance, organization, processes, and technology—is also key to addressing many of the challenges. • Data standards. Simple definition of • Organization. For the process, there • Technology. Most information terms, such as the field name or the items should be roles defined so the work management professionals say technology in the “pick lists,” is critical—but because gets done. The roles should be structured, “is the easy part.” Still, it’s a challenge for of varying contexts and locations, it’s defined, and communicated to the organizations to manage a thousand or easier said than done. What should be the organization. more attributes being originated from “source of truth” for each attribute? multiple systems that are not integrated. • Processes. Regulations change. Standards They must automate the application • Governance. It’s vital to determine who change. Data errors spike. For every event, of business rules to handle granularity, the data owner is and who should have there should be a process to follow. Data manage timing, select data from the right input (and final word) into data standards stewards should review and correct data sources, and apply data transformation and business rules. If a committee is on a regular basis. Developing and and mapping rules. They must also involved, how often should it meet? Who’s maintaining these processes isn’t provide a “publishing layer,” which is in charge? All the data governance items glamorous, but it’s necessary. a fancy way of saying “making data should be worked out and documented, available to other systems.” A properly then updated over time. designed MDM solution also provides a comprehensive audit trail that tracks all data inputs, transformations, and changes. Create framework for defining and managing master data gy lo St no an h d c a e r T d s Master Data Implement Define critical G s Management policy and o e business v s s e e technology Framework r processes n c a o r n P c e Organiz ation Create the resources
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