Posts in Life Sciences
Data Secrets to A Successful Drug Launch

Successful pharma companies use data as a competitive weapon to develop new sources of differentiation, focus on building superior customer experiences and treat drug launches as a micro-battle. How did your last launch perform vs. expectations, and what were the reasons for under-performance or over-performance?

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Patient 360: Molecule to Market

The rise of the Chief Patient Officer and the “P–suite” emphasizes a commitment to a culture around patient-centricity across life sciences companies. Patients are becoming increasingly demanding and taking greater control of their own healthcare decisions. They expect all relevant parties like pharma, providers, and payers to collaborate and recommend the best treatment options.

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Efficient & Compliant Business with Trusted Reference Data Management (RDM)

The value of reliable reference data cannot be undermined. Due to the nature of IT application development and the reliance upon off-the-shelf application systems, reference data is all too often isolated in silos within many different systems. Inconsistent reference data across multiple systems can cause invalid transactions, revenue leakages and compliance risks.

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Get ‘IDMP Ready’ with Modern Data Management

There is no better time than now for the pharma & medical device companies to modernize their product information management and comply with IDMP (Identification of Medicinal Products). Non-compliance might result not only in hefty penalties (as high as 5% of annual EU gross revenue) but also in poor operational efficiencies. Experts advise to kick-off the IDMP initiative now and reconfigure the data model later when the final guidelines are published.

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Why did a Horizontal Modern Data Management Provider Invest in HITRUST CSF Certification?

Over the last year, we have invested a tremendous amount in resources and cost to ensure that our platform compliance meets both industry and geographic-specific regulatory and compliance requirements. We anticipated the need for companies to want to use Reltio for data (e.g. Patient data) under HIPAA compliance, and were determined to go through the rigor and challenges to achieve full HITRUST CSF certification.

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Flexible Hierarchies for Product Brand Management in Life Sciences

For life sciences, MDM of product data should form a part of an overall data management strategy that encompasses the management of multiple master data domains and entity types. It is therefore important to leverage a solution that is not only multi-domain capable out-of-the-box, but provides a built-in architecture to relate and connect all domains seamlessly.

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Why Life Sciences Must Go Beyond Master Data Management (MDM) .... Again ... with Big Data Analytics

The most popular consumer facing applications today such as LinkedIn and Facebook have shown that business facing data-driven applications can be cloud-based, handle multiple data domains, manage structured, unstructured, master, transactional, activity and social data. Companies should expect complete end-to-end modern data management delivered as Platform as a Service (PaaS) instead of relying on recurring "next generation master data management" promises that remain unfulfilled.

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Fulfilling the Promise of the 360-degree View of the Patient

With life sciences companies needing to embrace patient-driven partnerships with providers, payers, advocacies, specialty pharmacies, KOLs and advisory boards to deliver viable solutions to the patient community, there is one session that's not to be missed.

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An Industry Shift for Master Data Management at Summit NYC

Interest was high on graph databases, end-business user trust and access to the information through data-driven applications, and how modern data management platforms were now providing master data management as a core foundation, upon which big data, transactions, analytics and machine learning are fully integrated.

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Why Apple & Reltio Love Cassandra

Our modern data management hybrid columnar and graph store, gives us the flexibility of schema-on-read, graph relationship modeling, combined with infinite horizontal scalability across entities and limitless attributes. As technology continues to evolve, and more and more database options appear on the market, we will make sure that our customers will continue to benefit from technologies such as Cassandra, and whatever comes next.

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An Evening of Celebration with Pharma Luminaries at PharmaVoice100

As I listened to the topics discussed, it became clear to me that we are at the crossroads of an unprecedented opportunity in the industry. Never before has storage and processing power been so affordable and accessible. For many of the attendees, better use of data, and being more “data-driven” was certain a topic that no one disagreed with. The trick was, as one executive I spoke to asked "How do we get from here to there?" 

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Accelerating Mergers & Acquisitions in the Medical Device Industry & the Rise of Data Monetization

The audience agreed that the complexity of data siloed across both companies made it very difficult to analyze information within the legal and time constraints of all pending transactions. If the merger goes through, all work is generally discarded, leaving the combined company to start from ground zero. If the merger is called off, someone is left with hardware procured to support the M&A that is wasted. 

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