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Data Systems Strategies for Today’s Challenges

To address today’s challenges and come up with viable data systems strategies, pharmaceutical companies are looking outside the industry to leverage scientific and technical innovation in other markets.

How Big Data Can Help Save Our Planet

Big data analytics company and ETH Zurich spin-off Teralytics, Telefónica NEXT and sustainability solution provider South Pole Group conducted a study in Nuremberg, Germany that reveals the analysis of mobile network data as an effective way to estimate CO2 and NOX emissions in urban areas at very low cost.

Big Data Use Case – Ticketmaster: Using the Cloud Capitalizing on Performance, Analytics, and Data to Deliver Insights

The insideBIGDATA technology use case guide – Ticketmaster: Using the Cloud Capitalizing on Performance, Analytics, and Data to Deliver Insights provides an in-depth look at a high-profile cloud migration use case. One of the most widely discussed topics in IT today is moving workloads to cloud. The process of deciding whether or when to migrate to the cloud can be daunting. Further, finding the right technology fit for your enterprise objectives can be challenging with a cloud solution ecosystem filled with alternatives. To make the cloud adoption process more straightforward, this white paper provided a number of areas for consideration when evaluating a cloud platform.

Commercial Analytics and It’s Defining Role In Pharma Marketing

Pharma companies are working hard to build effective patient access programs and implement an effective commercial strategy around it. Expiring patents and competitive pressure is a real challenge and companies need to explore opportunities with the help of the vast amounts of data they own. Big Data and Analytics capabilities are helping companies define that strategy and execute a plan, which will help them succeed. Our friends over at Prescriber360 put together the infographic below containing facts and figures to emphasize the need of a well-planned analytics strategy.

MIT Sloan Professor Builds New Meta-analysis Method to Help Settle Unresolved Debates

Science progresses when researchers build on prior work to extend, test, and apply theories. Aggregating the quantitative findings from prior research – meta-analysis — plays a significant role in advancing science, however current techniques have limitations. They assume prior studies share similar substantive factors and designs, yet many studies are heterogenous. A new method, co-created by MIT Sloan School of Management Prof. Hazhir Rahmandad, solves this problem by aggregating the results of prior studies with different designs and variables into a single meta-model.

Why Big Data Means Better Health

In this special guest feature, Souvik Das, Senior VP of Engineering at Grand Rounds, discusses how big data will open up the opportunity for physicians to impact patients anywhere in the world, all from a single interface or digitized platform. In turn, patients will also become better informed of the right doctor and treatment path for their unique needs.

Data as a Critical Element in the Discovery and Delivery of Smart Energy

In this contributed article, Jules S. Damji, an Apache Spark Community Evangelist with Databricks, shows how as the value of data continues to grow, the next-generation smart grid should become a reality, benefiting utility companies and consumers alike.

Five Reasons to Attend a New Kind of Developer Event

In this special guest feature, Ubuntu Evangelist Randall Ross writes that the OpenPOWER Foundation is hosting an all-new type of developer event. “The OpenPOWER Foundation envisioned something completely different. In its quest to redefine the typical developer event the Foundation asked a simple question: What if developers at a developer event actually spent their time developing?”

How to Solve the Most Common Data Problems in Retail

In the retail business, big data is poised in the coming years to open up huge opportunities in the way stores (both physical and online) fundamentally operate and serve customers. Given the incredibly small margins, Big Data will also provide much needed efficiency improvements – from tighter supply chain management to more targeted marketing campaigns – that can make a big difference to a retail business of any size.

Data-Driven Healthcare: A Proactive Revolution

In this special guest feature, Richard Proctor, GM of Global Healthcare at Hortonworks, discusses how big data is enabling key healthcare organizations including UNOS, MD Anderson and Arizona State University to manage chronic diseases, improve overall member health, reduce costs, and manage clinical and financial risk.