Strategic advice & alerts to leverage data analytics & new technologies
Leverage the latest advances in areas ranging from data analytics to IoT, social/mobile to wearables, Agile data warehousing to data architecture, with a continuous flow of written and multimedia research from Cutter’s global team of thought leaders.
This Update examines survey data concerning the benefits and goals that organizations hope to gain with their blockchain initiatives.
Companies are embracing analytics to innovate and transform supply chains and alter the way they understand and react to changing market trends. They also hope to discover better opportunities to connect with customers and secure closer relationships with suppliers by leveraging analytics across the supply chain. As we explore in this Executive Update, business process reengineering (BPR), along with a suite of digital technologies, can harness the insights of improved analytics.
Organizations face several challenges when it comes to protecting sensitive data in Internet of Things (IoT) devices, platforms, and applications.
In recent years, visual analytics (VA) has been introduced to represent massive multidimensional temporal data with various visual encodings. VA combines automated analysis techniques with interactive visualizations to enable effective understanding, reasoning, and decision making on the basis of very large and complex data sets.
In this article, the authors make detailed comparisons of the most notable robo-advisors in the US — namely, Betterment, Wealthfront, and Schwab Intelligent Portfolios. Although they are quite similar, they have their own features. Betterment uses smart financial models, such as a downside-risk optimization model, to make sure that each of its four primary investing goals (retirement, safety net, general investing, and major purchase) is based on a different stock allocation path. Wealthfront is more like a technology company, making sophisticated financial advice and investment strategies available to every individual investor at low cost by combining financial theory and machine learning. Schwab, as a traditional financial services firm, uses more traditional investment strategies in asset allocation.
Ontologies have been explored as alternatives to traditional relational databases for some time, particularly in sectors such as manufacturing and microbiology. Their application in finance could possibly be game-changing due to several key benefits of an ontological approach.
It’s a pleasure for me to introduce the first of two special issues of Cutter Business Technology Journal (CBTJ) showcasing the thought leadership and cutting-edge research and development (R&D) being done in State Street Corporation’s Advanced Technology Research Centres in Europe, the Middle East, and Africa (EMEA) and Asia Pacific (APAC), in partnership with University College Cork (UCC) and Zhejiang University (ZJU), respectively. The articles in this issue represent a small sample of the output from the R&D undertaken in these centers, which combine academic excellence with real industry impact.
Time is a critical resource in hypercompetition. From a business perspective, every piece of information is embedded in time, and every piece of information loses value as time passes.