Reltio
MAY 20, 2022
I’ve seen modern MDM fix organizational data problems and deliver tangible outcomes for their business and customers. Some additional challenges with legacy MDM are: It doesn’t scale to billions of customer records or 1,000s of profile attributes making it difficult to manage big data volumes.
Reltio
SEPTEMBER 1, 2020
The current approach to managing data wasn’t going to meet the needs of companies for much longer. They need data to drive their digital transformation, to deliver connected customer experiences, to gain deeper customer insights and to drive innovation. . The future is bright for Reltio, our customers and our partners. .
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Reltio
MAY 16, 2023
Data enables pharma companies to meet these challenges head-on and leverage the power of digital technologies to improve outcomes for patients and drive business success. In this blog post, we explore the significance of data quality in the pharmaceutical industry and explain how a modern MDM platform serves to address these challenges.
Reltio
DECEMBER 2, 2020
Data leaders and architects want to accelerate their company’s digital transformation and enable connected customer experiences with connected data. Flexible, Extensible, Configurable Data Structure and Services: Business processes, customer insights and data integrations need to be changed and adapt more quickly in a digital future.
erwin
JULY 8, 2020
With it, an organization can explore models to understand information assets within a business context, from internal operations to full customer experiences. Industry-specific regulations in areas like healthcare, pharmaceuticals and financial services have been in place for some time.
Reltio
JUNE 12, 2020
It says: “ Proactively engaging the right patients based on their SDOH can improve health outcomes and help healthcare organizations meet quality standards. ”. make healthcare providers and pharmaceuticals accountable for care and treatment they offer. Better collaboration leads to better healthcare outcomes.
erwin
MARCH 28, 2019
Business process modeling helps organizations prove what they are doing to meet compliance requirements and understand how changes to their processes impact compliance efforts (and vice versa). This also extends to industry-specific other compliance mandates such as those in healthcare, pharmaceutical and the financial services industries.
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