Drive Analytic Innovation Through SAS and Open Source Integration

May 27, 2021

In many organizations, we need more collaboration between businesses, analytic teams, application developers and IT operations. These teams often work with data in silos and end up duplicating efforts, failing to integrate, or missing
opportunities to deliver value from data.

In addition to siloed efforts, data scientists are also faced with ever-increasing volumes and speeds of data. And the reality is they’re expected to answer questions just as fast as - or faster than - before. It’s important that we’re using the right data and the right techniques to ensure optimal outcomes. Download this guide to learn more about SAS and open source.

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UREASON - Responding to your environment

UREASON believes in the value of data science. Data science combined with knowledge offers valuable insights that helps organizations to become more sustainable and maintain their competitive edge. UREASON has vast knowledge in AI and a creative team that supports many organizations to gather new insights that help identify new business opportunities and improvements. We can support you in machine learning, predictive analytics, probabilistic reasoning, simulation and event stream processing. We believe that IoT requires more than just connecting devices...

OTHER WHITEPAPERS
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2022 EDUCAUSE Horizon Report® Data and Analytics Edition

whitePaper | September 16, 2022

With the 2022 data and analytics edition, we further expand our series of Horizon Reports to focus on an emerging area of practice that is driving institutional decision-making and strategic planning for the future—the trends, technologies, and practices that are shaping the world of postsecondary data and analytics. Based on a methodology that grounds the findings in the perspectives and expertise of a panel of leaders in higher education data and analytics, in this report we summarize the panel’s input on the major trends shaping higher education, including panelists’ reflections on the implications of this research for the future of higher education for particular institutional roles.

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The Evolution of Clinical Data Management into Clinical Data Science

whitePaper | September 12, 2022

Clinical Data Management (CDM) evolved over the last two decades from managing data entered on paper Case Report Forms (CRFs) to managing data transcribed into Electronic Data Capture (EDC) systems. The Society for Clinical Data Management (SCDM) strongly contributed to this first significant CDM evolution through its Good Clinical Data Management Practice 1 (GCDMP©) Chapters first published in 2000 and its certification program for Clinical Data Managers2 subsequently released in 2004.

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The Alignment Problem with "Sale of Data"

whitePaper | December 12, 2022

In August 2022, the California Office of the Attorney General announced a $1.2 million settlement with international cosmetic retailer Sephora for violations of the California Consumer Privacy Act. Following this announcement came a wave of questions about the regulator’s emphasis on the broad interpretation of the CCPA’s “sale of data” and adoption of the Global Privacy Control.

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Logical Data Fabric

whitePaper | December 27, 2022

In this whitepaper we will define “data fabric,” look at different implementation strategies, and highlight the value of a logical approach. The paper will delve more deeply into the technical architecture of a logical data fabric and the key components to build a successful one, including the role played by artificial intelligence (AI) and data virtualization.

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Data Drives the Future of Physician Practice Management

whitePaper | April 7, 2022

This white paper was created to outline best-practices for measuring, reporting, and building a constant stream of key performance indicators related to your physician network.

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O'Reilly Data Quality Fundamentals

whitePaper | November 18, 2022

For decades, the lack of visibility into the health of our data has led to data downtime in companies around the world. When data is missing, inaccurate, or erroneous, data quality initiatives are doomed to fail, leaving enterprises at a privacy compliance and business disadvantage.

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Spotlight

UREASON - Responding to your environment

UREASON believes in the value of data science. Data science combined with knowledge offers valuable insights that helps organizations to become more sustainable and maintain their competitive edge. UREASON has vast knowledge in AI and a creative team that supports many organizations to gather new insights that help identify new business opportunities and improvements. We can support you in machine learning, predictive analytics, probabilistic reasoning, simulation and event stream processing. We believe that IoT requires more than just connecting devices...

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