Remove Data Governance Remove Digital Transformation Remove Predictive Analytics
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The Impact of Healthcare BI Tools on Decision-Making and Patient Care

FineReport

These innovative solutions pave the way for future trends in healthcare, shaping the industry’s digital transformation journey. Challenges in Data Management Data Security and Compliance The protection of sensitive patient information and adherence to regulatory standards pose significant challenges in healthcare data management.

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Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Digital Transformation is not without Risk.

Analytics 111
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Do You Know Where All Your Data Is?

Cloudera

In spite of diligent digital transformation efforts, most financial services institutions still support a loose patchwork of siloed systems and repositories. The top-line benefits of a hybrid data platform include: Cost efficiency.

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Straumann Group is transforming dentistry with data, AI

CIO Business Intelligence

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

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What is a data architect? Skills, salaries, and how to become a data framework master

CIO Business Intelligence

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Communication and political savvy: Data architects need people skills.

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Future Proof: Technology Solves for Business Value

CIO Business Intelligence

Implementing new technology for enterprise transformation brings increased responsibility to ensure the organization and its customers are protected from emerging risks associated with that new technology. Therefore, the organization is burdened with ensuring that data collected from such devices is being used, shared and protected properly.

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Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

Reductions in the cost of compute and storage, with efficient appliance based architectures, presented options for understanding more deeply what was actually happening on the network historically, as the first phase of telecom network analytics took shape. Data governance was completely balkanized, if it existed at all.

Analytics 101