SAP Analytics Cloud Suggested Lifecycle Management concepts and workflows

whitePaper | November 26, 2019

There has been much said about the Internet of Things (IoT) and what it can bring to business and society - creating a more deeply connected world, informed by data sourced from connected things, made better by smarter, more meaningful actions and interactions. These views often focus on how IoT technical solutions can deliver this new future, emphasizing the technology DNA of IoT devices, networks and applications. We have found, however, both through research and experience, that while technology is, in fact, the core of IoT’s DNA; it is just a piece of the puzzle needed to deliver on IoT’s promise. With 60% of IoT projects still struggling to move out of proof-of-concept and scale successfully2 there is more to IoT success than technology alone. What is needed and how can business leaders plan better for IoT success?

whitePaper | December 1, 2022

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whitePaper | July 1, 2022

Data is an extremely valuable asset in today’s world. After all, there are entire industries based on it. Because of this, it’s important to evangelize the value of data within your organization.

whitePaper | May 27, 2021

In many organizations, we need more collaboration between businesses, analytic teams, application developers and IT operations. These teams often work with data in silos and end up duplicating efforts, failing to integrate, or missing opportunities to deliver value from data. In addition to siloed efforts, data scientists are also faced with ever-increasing volumes and speeds of data. And the reality is they’re expected to answer questions just as fast as - or faster than - before. It’s important that we’re using the right data and the right techniques to ensure optimal outcomes. Download this guide to learn more about SAS and open source.

whitePaper | October 6, 2022

Effective data analytics provides enormous business value for many organizations. As ever-greater amounts of diverse data become available, analytics can provide even more value.

whitePaper | April 18, 2023

The MIT Future of Data Initiative is leading a multi-disciplinary research agenda to design and stimulate the deployment of consumer-empowering and accountable systems to provide trusted, traceable uses of personal data on an ecosystem-wide scale. The Initiative has gathered together computer science and Internet policy researchers as well as leading commercial enterprises in financial services, payment technology, cloud platforms, insurance and other sectors to discuss current challenges and opportunities in privacy and data governance. Today’s modern privacy laws place appropriately high expectations on organizations processing personal data. At the same time, consumers report declining trust in those who handle their personal data and regulators around the world struggle with the scale of the enforcement challenge. We aim to identify and put into service technical infrastructure for enterprises seeking to handle personal data in a trustworthy and lawful manner with guardrails to enable the traceable, accountable, and scalable use of data.