Big data and positive social change in the developing world

This white paper was produced by a group of activists, researchers and data experts who met at the Rockefeller Foundation’s Bellagio Centre to discuss the question of whether, and how, big data is becoming a resource for positive social change in low- and middle-income countries (LMICs). Our working definition of big data includes, but is not limited to, sources such as social media, mobile phone use, digitally mediated transactions.

Spotlight

Derive Technologies

Derive Technologies, was founded in 2000, through the combination of two long-standing technology firms dating back as far as 1986; and incorporated as “Derive Technologies” in the beginning of 2001. Derive's team -- all of them already long-time collaborators at the time of the company's official founding -- continue to design and deliver progressive business-technology solutions that meet the challenges of New York Metro Area, national, and global enterprises, with a focus on on-going cost reduction.

OTHER WHITEPAPERS
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BARC Score Enterprise BI & Analytics Platforms

whitePaper | August 12, 2021

This BARC Score report will evaluate BI & analytics platforms on a range of features, from data visualization capabilities to semantic modeling abilities, performance and speed to automation capabilities.

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The Power of Graph Data Science: Maximizing the Value Of Data Through Predictive Insights

whitePaper | September 28, 2022

Graph data science (GDS) is a scientific approach to gain knowledge from graphs, using the structures of connected data to power predictions, answer questions, and explain outcomes.

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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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Data & AI Survey Report 2021/2022

whitePaper | September 2, 2022

This year, unlike previous years, we asked professionals the most difficult elements of a successful data strategy instead of the most important.

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Adopting a Modern Data Infrastructure for Trading Analytics

whitePaper | August 25, 2022

As they seek an edge in their trading and investment activities, hedge funds and other sophisticated trading firms are looking to harness new sources of insight that can allow them to identify and exploit emerging market and industry opportunities. But many organizations are saddled with a disconnected sprawl of legacy systems that are unable to handle the demands of today’s fast and often volatile markets.

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Better together: AVEVA™ Predictive Analytics and the AVEVA™ PI System™ maximize mining plant ROI

whitePaper | December 23, 2022

From volatile markets and tough competition to the increasingly stringent demands of government regulators and customers alike, there’s no shortage of challenges ahead for the mining industry. To navigate these obstacles and others all while improving profitability, mining companies are seeking innovative ways to optimize the reliability, efficiency, and safety of their operations. Many industry leaders are already finding the answers they are looking for in their operations data.

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Spotlight

Derive Technologies

Derive Technologies, was founded in 2000, through the combination of two long-standing technology firms dating back as far as 1986; and incorporated as “Derive Technologies” in the beginning of 2001. Derive's team -- all of them already long-time collaborators at the time of the company's official founding -- continue to design and deliver progressive business-technology solutions that meet the challenges of New York Metro Area, national, and global enterprises, with a focus on on-going cost reduction.

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