Sparity

Forget digital transformation: data transformation is what you need

The founder of Eggcelerate, Stefano Maifreni, discusses why it is important for business organizations to focus on data transformation to maximize long-term value. He defines digital transformation as using new technologies to restructure an organization and its processes to improve efficiency and meet customer needs. Digital transformation initiatives can involve IT modernization, process automation, cloud technology, artificial intelligence and machine learning, and transforming communication with customers. Data is the cornerstone of any successful digital transformation strategy, and it is important to understand how your organization uses data to optimize data usage and apply analytics and insights to drive better business outcomes. Without a data strategy in place, your organization will likely struggle with leveraging data for digital transformation efforts. Digital transformation is vital for businesses to restructure their processes to meet customer needs and improve efficiency. To leverage data for digital transformation efforts, organizations must understand their data sources and determine which data sources they need and where they can find them. They must also consider how to best process, analyze, and transform their data to maximize its value. Finally, they must identify which data transformation initiatives will impact their organization most and ensure they have the necessary resources and budget to make these efforts a reality. Data transformation is an entirely new way of doing things that requires organizations to come up with innovative methods for gathering data and turning unusable data sources into something valuable. Source: information-age   🔥 Trending Stories 14 Tech Leaders Offer Their Best Pieces of Advice to New Entrepreneurs Ultimate Guide For Hiring On-demand Developers For Your Startup Top 25 Digital Transformation Influencers You Need to Follow

Microsoft, Sophia Genetics team up to pursue data-driven medicine

Microsoft and Sophia Genetics are teaming up to pursue data-driven medicine. The partnership aims to enhance data interoperability and drive a global transition to precision medicine. The effort will focus on developing and deploying next-generation healthcare tools. They aim to equalize data across silos, improve clinical workflows and elevate standards of care. Using Microsoft Azure services, the data display module of Sophia Genetics provides AI and machine learning capabilities. Sophia DDM’s multimodal AI and machine learning platform analyzes clinical, biological, genomes, and radiomics data, and in the future could provide insights for digital pathology, proteomics, and metabolomics. The healthcare SaaS company provides data insights to support discoveries, treatment decisions and drug development efforts. The company’s mission is to “democratize data-driven medicine,” says Dr. David C. Rhew, The global chief medical officer for Microsoft. Source: Healthcare IT News 🔥 Trending Stories 14 Tech Leaders Offer Their Best Pieces of Advice to New Entrepreneurs Ultimate Guide For Hiring On-demand Developers For Your Startup Top 25 Digital Transformation Influencers You Need to Follow

How Power BI Transforms Healthcare Experiences

Microsoft’s Power BI capabilities strengthens healthcare organizations including providers & payers to uncovers data-driven insights in the healthcare industry to offer better care

Benefits of data analytics for business

data analytics

Benefits of Data analytics removes guess-work from decision-making, identifies customer behavioral changes, personalizes customer experience, mitigates risk & fraud

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