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Turn on a Dime with a Responsive Data Strategy
Master Data Management in the Time of COVID-19
Oct 30, 2020

In coping with the COVID-19 pandemic, the medical community has had to adapt to a fluid situation. New scientific information is published daily. Provider roles shift with changing patient loads. Safety measures are refined frequently. And the preferences and expectations of healthcare professionals (HCPs) and healthcare organizations (HCOs) are in flux. The changes have been swift, pervasive, and relentless.

Does your Master Data Management (MDM) solution allow you to keep pace?

If you’re working with less-than-current information about your customers, products, payers, or patients – you’re apt to base decisions on faulty information. You’ll zig when you should zag, and you’ll miss opportunities. That’s true today, as we adjust to life during a pandemic, and it will be true in the months ahead as new vaccines and therapies are launched into an eager market. Precision and agility need to go hand in hand.

“Data is all”

In Bernard Cornwell’s historical novels, The Saxon Tales, the main character claims “destiny is all.” Today, we could make the case that “data is all.” Data – more than algorithms and analytical advances – is a company’s most valuable asset. After all, a company’s investment in artificial intelligence (AI) and machine learning (ML) will be wasted unless the foundational data is integrated, comprehensive, accurate, and relevant.

So, let’s talk about how your data management solution should be ensuring that your data is current and accessible to all those who depend on it – users in marketing, sales, operations, and compliance/regulatory.

Start with a contextualized, golden record.

Initially, the goal of legacy MDM systems was to create a “golden record,” a single source of the “truth” for a specific piece of information about a product, person, or organization – for example the address in a physician profile. Data coming in from multiple systems was matched, merged, and cleaned to produce a pristine record representing the best and most accurate details available. All systems across the enterprise were then overwritten with that golden record to prevent discrepancies.

Today, the most effective approach is to build a reliable foundation of 360-degree profiles across customers, products, payers, and patients. Beyond what golden records offer, these profiles include relationship information, omnichannel interactions and transactions, and relevant insights with intelligent recommendations. However, only the elements of that record that can be accepted by another system or that make sense to distribute, are sent downstream. Users access contextual views of the data that are relevant to their role in the organization or to their business objective. As an example, a customer’s address used by marketing may be different than that used by order management, and that used by finance may be different still.

Take a multi-domain approach.

In the past, companies relied on separate MDM systems for customer data, product data, organizational data, and finance data, etc. Today, as business processes are more integrated, best-in-class data management systems integrate all of those domains in one system with as many as a thousand attributes for each entity and uncover relationships across those domains. AI and ML are used to provide not only additional insights for each profile, but also to improve data quality through better data matching, and quality scoring, etc. Such comprehensive master data is essential to executing an effective go-to-market strategy, segmenting and targeting customers, aligning territories and market definitions, and optimizing the supply chain.

Data Categories Captured in a Multi-Domain MDM
  • Customer Domain (HCP/HCO): most demographic details, workplace affiliations, contact details and preferences, interests, opt-in/opt/out selections
  • Product Domain: product classification and hierarchies, therapy areas and/or indications, market approval status, affiliation to HCPs/HCOs
  • Payer Domain: demographics, payer plan, policy and formulary information
  • Patient Domain: identifiable patient data – demographic details only if names not encrypted; if data is anonymized, there will also be therapy details, illness status, etc.

Specifically, with respect to your go-to-market strategy, a multi-domain MDM will support:

  • Orchestrated messaging and engagement. You will finally be able to gather a centralized, complete view of all stakeholders, including their preferences and interests. Sales and marketing departments will understand how each customer interacts with the whole company, insight vital to personalizing relationships and driving the perfect multichannel approach.
  • Increased sales ops efficiency. All the processes that require data management – from collection to stewardship and distribution – can be performed quickly with reduced manual errors.
  • Improved compliance. With visibility to all transactions related to a unique HCP at the country/region/global levels, you can confirm sample eligibility and monitor regulatory compliance. And with a central platform that collates opt-in/out details, you can comply with privacy requirements such as GDPR.

Choose a system that prioritizes responsiveness.

The COVID-19 pandemic has intensified the need to have a flexible approach to MDM with system features that allow for easy updates, course changes, and fluctuating demand. Your MDM solution should support your ability to pivot quickly and hyper-personalize your commercial approach. A responsive MDM system, such as Reltio for IQVIA MDM Solutions, will boost your responsiveness across several fronts:

  • Organizational agility. With the digitization of sales calls and changes in the HCP community, you may need to realign your sales structure. And your sales alignments will change yet again when COVID-19 vaccines and new treatments hit the market. Your MDM should have flexible hierarchy management – with visualizations – so that you can maintain several hierarchies for different purposes and teams. It should also be able to ingest and distribute any update rapidly so that you can respond quickly to market changes.
  • Changing customer needs. HCPs’ communication preferences and consent options change all the time. In fact, they changed dramatically – and almost overnight – at the start of the pandemic “lock down.” You can make changes to customer preferences or even include new attributes quickly to capture the changes and distribute this fresh information in near real time to all systems that consume data. For instance, if an HCP indicates via your website that he is/isn’t interested in certain content, that fact could be vital insight to the marketing manager who might at that very moment be planning a campaign. Ultimately you can respect your customers’ preferences and offer them a richer experience.
  • Accommodating changing data sources/attributes. Data is constantly coming in from new sources, and new platforms (including upgrades of existing platforms) are released every day. These are all opportunities to expand your golden profile by picking up additional attributes that may be available in these data sources. Your MDM system’s infrastructure should be designed to be flexible enough to accept those kinds of changes quickly. And we mean in a day or so. (These kinds of changes used to be a heavy lift in legacy MDM systems, taking six to nine months to complete.)
  • Regulatory changes. Life Sciences is already one of the most regulated industries, but new guidelines or changes to existing ones continue to be developed. Each change may call for the collection, maintenance, and/or reporting of specific information in a defined format. Your data management system must support configurable workflows and granular audit trails to simplify meeting these regulatory needs. With a flexible and agile MDM model at the core of data orchestration, you can avoid potential fines or delays in compliance processes that may have other financial impact (e.g., delay in market approval).
  • Fluctuating capacity. Your system’s computing power and storage needs will fluctuate with market conditions, as seasons change, as products launch, or as approvals are delayed. With a cloud-native solution, you can scale your infrastructure as needed.

The COVID-19 pandemic has accelerated the pace of change in the market, but it’s nothing that a next-generation responsive data management can’t handle. With data available in real time and integrated from across the enterprise, you can respond with informed decisions based on accurate, coherent, and complete data.

Reltio and IQVIA are strategic partners in developing innovative solutions to help your organization handle the increasingly complex information needed to make effective business decisions in consumer health. For more information about our cloud-native offering, please visit www.reltio.com. For information about IQVIA’s MDM Solution, please visit
https://www.iqvia.com/solutions/technologies/information-management/master-data-management 

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