Analytics

News, trends and insights for the field of analytics

How “feral” insights sometimes trump qualitative and quantitative research

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I feel so guilty when I have to tell colleagues and management that technology can’t solve a given problem. I feel even more uncomfortable when I have to explain that technology is actually decreasing effectiveness. I don’t have a C-level technology job title — but I know that it’s even more difficult (and counter-intuitive) for […]

Solve IoT data management issues with a ROBO design approach

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Data coming in from Internet of Things (IoT) devices is exciting, massive―and potentially crippling. To manage the data effectively and reduce system stress we need to proactively build support mechanisms to make it sustainable. Modern Remote Office Branch Office (ROBO) systems can help. ROBO is not new. Splitting workloads and tasks across local and centralized […]

6 digital transformation trends for 2019

Business transformation will pick up speed in 2019 as enterprises make critical decisions about their digital strategy. Our six digital trends will guide those decisions. 1. Enterprises go after digital business moonshots In 2019, more enterprises will make bet-the-company commitments to digital business. It’s a new kind of corporate race as companies adopt these moonshot […]

Confiar en el análisis es un buen comienzo, pero no suficiente

Casi tres cuartas partes de las grandes empresas ya se han beneficiado de las iniciativas de Big Data e Inteligencia Artificial (IA), según una encuesta publicada a principios de este año en Harvard Business Review. Entre sus beneficios, aseguran los coautores Thomas Davenport y Randy Bean, destacan que las decisiones que se toman mediante análisis […]

How AI can enable workplace collaboration

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Few industries and professions will remain unaffected by artificial intelligence (AI), machine learning, robots, and other emerging technologies. On the downside, this means entire categories of jobs already are in the process of being outsourced to automation or algorithms. On the upside, these technologies are expected by some experts to create more new jobs than […]

Blurring of the lines between payer and provider in a rapidly changing healthcare environment

by George Mathew MD, Rikin Patel and Paul Thompson Recent headlines have been full of news about major healthcare mergers and acquisitions, often involving newcomers to the industry, but also creating a convergence of traditional payer, provider and pharmaceutical benefit management companies. Here are some of the latest examples in the changing healthcare scene: CVS […]

Machine learning is being used right now in these industries

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Machine learning no longer is a “future” technology. Organizations in industries from mining to manufacturing to medicine are using machine learning today to better serve customers, fuel research and product breakthroughs, and transform operations. Here are just a few examples: Mining Artificial intelligence (AI) and machine learning are helping mining companies find minerals more efficiently […]

How to increase data democratization in your enterprise analytics platforms

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It wasn’t that long ago that data was a necessary but costly business byproduct that many companies shelved on leftover and decommissioned hardware, and only because they were legally required to do so. That’s changed, of course. Data’s value has grown exponentially in just the last few years because we’ve found that when you combine, […]

The future of precision medicine is not genomics but digital health

by David Pare What does the term precision medicine mean to you? Typically, people think of precision medicine as being about genomics, but it goes well beyond molecular biology to encompass everything that moves us away from a one-size-fits-all approach to medicine. As far back as 1969, Enid Balint, formerly in charge of the training […]

How regulatory intelligence leads to real-time strategic decision making

by Jared Kimble Data is all around us. It’s created with everything we do. For the life sciences industry, this means data is being collected faster and at a greater rate than ever before. Data takes the form of structured content — from clinical trials, regulatory filings, manufacturing and marketing, drug interactions and real-world evidence […]