Tag: big data

Analytics | Data Management
Mark Torr 0
What’s the future of analytics within the enterprise architecture?

What does the future of analytics look like in your organizations enterprise architecture? Does it include thinking about a two speed approach to analytics which includes both: An agile rapidly changing analytics platform for innovation (a lab) seperated from operations and broad enterprise audience usage A slowly moving systematic enterprise analytics platform (a factory)

Analytics
Amanda MacDowell 0
A case for real-world evidence

For health and life sciences organizations, discussions about big data include gaining value from that data in the form of real-world evidence. Consider for a moment the amount of healthcare data that exists today thanks to the adoption of electronic health records. Then think about the future with data from

Andreas Gödde 0
Big data use cases and the big data wake up call

According to recent studies on big data readiness, the majority of companies (more than 60 percent in the latest study of Crisp Research) are not prepared for the challenges of digital transformation. In fact, 58 percent of decision makers surveyed say they have no strategy in place. The quest for

David Froning 0
5 proven ways to improve field quality performance

Your customers are more demanding than ever before.  Improving field quality and your customer's experience of your product is essential to staying competitive.  However, truly understanding customer experience can be a daunting task.  These recommendations have been refined and proven in dozens of manufacturers as simple ways to rapidly improve field quality performance. 1. Think big; start small.

Analytics
SAS Colombia 0
Los SÍ y los NO del Big Data

Para nadie es un secreto que los ejecutivos están cambiando su percepción acerca del Big Data. Los líderes empresariales reconocen cada vez más la importancia de capturar y analizar estratégicamente los datos y esto se debe a una amplia serie de razones. Una de ellas es el acceso a nuevas

Stuart Rose 0
Putting predictive analytics to work.

Insurance relies on the ability to predict future claims or loss exposure based on historical information and experience. However, insurers face an uncertain future due to spiraling operational costs, escalating regulatory pressures, increasing competition and greater customer expectations. More than ever, insurance companies need to optimize their business processes. But

Data Management
Jim Harris 0
Analyzing the data lake

In my previous post I used junk drawers as an example of the downside of including more data in our analytics just in case it helps us discover more insights only to end up with more flotsam than findings. In this post I want to float some thoughts about a two-word concept

Data Visualization
Leo Sadovy 0
The new map of global manufacturing

any factors go into your strategic global business decisions, from the physical placement of factories and distribution centers, to your choice of suppliers and partners, to your target markets and the business model itself. Businesses have a choice of fundamental global go-to-market investment strategies, from direct foreign investment on the one

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