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technologynetworks.com | February 27, 2020
Despite the data explosion in the past 10-15 years, this has largely been data unrealized its value has not been exploited. Subsequent investments in data integration strategies, technology, and analytics have transformed a medley of free-floating data points into an integrated, coherent message. Pharma has leveraged data integration across the value chain, from discovery through development to commercialization. Healthcare is also leveraging data integration strategies to drive value-base...
information-age.com | January 30, 2020
In the decade to come, however, two data challenges are looming large when it comes to implementing a data strategy.The first challenge is that, as modern analytics deployments grow, organisations are faced with an ongoing challenge to curate, manage, and govern larger volumes of data. The second big challenge is that data is no longer solely under the purview and restricted use of the small, manageable teams of trained IT professionals. We are now operating in a day and age of pervasive ...
Big Data Management
Phocas Software | March 21, 2022
A new partnership between Phocas Software and ADS Solutions will help small- to mid-sized businesses in the wholesale distribution and light manufacturing industries use their business data to improve reporting, insights and decision making. ADS Solutions, creator of cloud-based Accolent ERP, has selected Phocas as its preferred data analytics platform to complement the ADS Solutions application. Together, Phocas and ADS Solutions will create a list of standardized reporting and d...
itproportal.com | February 11, 2020
Big data projects and state-of-the-art data science models are using artificial intelligence (AI) and machine learning (ML) to drive innovation across financial services, healthcare, government and other sectors. Take the healthcare industry for example, which is expected to spend roughly $23 billion globally on big data analytics by 2023, according to P&S Intelligence. Medical and life sciences organisations are embarking on AI and ML initiatives to unlock complex data sets with the goal of...
Business Intelligence, Big Data Management
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