With a highly competitive environment, sophisticated technology innovations, and substantial unmet patient needs, MedTech companies constantly need to be aware of changes in the marketplace. They need to collect and analyze data that can provide insights into patient profiles, surgical procedures, competitive environments, market challenges, and opportunities.
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This data is bound to be heterogeneous with highly variable data types and formats as the sources are myriad, which presents significant problems for users with different needs. Self-service dashboards with user-specific key performance indicators (KPIs) that allow business users to access data independently are necessary. Further, data management and analytics help transform unstructured, raw data into a functional format to drive decisions based on real-time insights. Before the data can be consumed by the analytics engine, data cleaning and standardization help ensure data quality for reliable analysis.
Read this case study to know more about how Axtria helped a top 10 global player in the cardiovascular devices market gather insights on market trends by analyzing cardiac surgery procedure records. The data initially lacked standardization and required significant manual intervention that made the insight generation process cumbersome and slow. Axtria helped the client cleanse the data and implement business rules to improve the completeness of key fields and create KPI dashboards that now provide faster insights to drive accelerated decision-making across the business unit.
The client benefited from the following:
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