Data Science and Open Source Software

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.

whitePaper | August 26, 2022

For all business leaders, the past two years have been filled with trial and error as we continue to navigate this unprecedented time of health and safety, regulations, and shifting consumer needs. As the global economy seeks stability throughout the fluid pandemic mandates, we are finding that high-quality data has been a key play to keeping customer centricity.

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.

whitePaper | October 5, 2022

As we assess the global business environment in the latter half of 2022, perhaps the best single word that describes the state of play is uncertainty. Planning for uncertainties is a significant part of what we, as business executives and individuals, do on a daily basis. In times of uncertainty, brands realize they must work even harder to retain customers and deepen relationships by delivering value and empathy at scale. As we analyze our uncertainties, we can take comfort and guidance from management guru Peter Drucker, who wrote that “strategy aims to exploit the new and different opportunities of tomorrow” (Managing in Turbulent Times, 1980).

whitePaper | January 18, 2023

Ventana Research performed this research and analysis independently. Our goals were to determine the Value Index for Data Platforms and to evaluate vendors and products in accordance with the Ventana Research methodology and blueprint. We charged no fees for this research and invited to participate all vendors that are delivering relevant data platform products and services. This report includes products generally available as of September 30, 2022.

whitePaper | February 19, 2020

Artificial Intelligence is developing fast. It will change our lives by improving healthcare (e.g. making diagnosis more precise, enabling better prevention of diseases), increasing the efficiency of farming, contributing to climate change mitigation and adaptation, improving the efficiency of production systems through predictive maintenance, increasing the security of Europeans, and in many other ways that we can only begin to imagine. At the same time, Artificial Intelligence (AI) entails a number of potential risks, such as opaque decision-making, gender-based or other kinds of discrimination, intrusion in our private lives or being used for criminal purposes.