Creating predictive analytics from alternative data has become the current focus of the biggest quant trading firms in the industry
The democratization of financial services data and technology, together with more intense competition, makes the needs of today’s market participants vastly different from those of previous generations. Firms must locate untapped sources of data for both public and non-public companies. This alternative data, such as payment data and other non-public information, from sources beyond the common channels, can be a predictive indicator of market performance; a difference maker in assisting firms as they develop models to evaluate their investments.
By combining our unique data sets with advanced analytics, traders, analysts and managers can seek predictive signals and actionable information utilizing their own models.
View our research report to learn how alternative data, our 'Information Alpha,' can help you earn differentiated investment returns.
In the financial services industry (FSI), high-performance compute infrastructure is not optional; it’s a prerequisite for survival. No other industry generates more data, and few face the combination of challenges that financial services does: a rapidly changing competitive landscape, a complex regulatory environment, tightening margin pressure, exponential data growth, and demanding performance service-level agreements (SLAs).
When measuring competitive differentiation in milliseconds, connectivity is a key component for any financial services company’s data center strategy. In planning the move of its primary data center, a large international futures and commodities trading company needed to find a provider that could deliver the high capacity connectivity it required.
It’s no surprise that the Software-as-a-Service (SaaS) market is exploding; its benefits are evident and mounting. In fact, IDC predicts that the SaaS market will grow significantly by 2020. SaaS end users are reaping the benefits of greater software efficiency, agility, reduced operational headaches, and trading CapEx for OpEx. The SaaS model enables low cost to entry, scale, and no maintenance as opposed to traditional software which placed these burdens on the end user.
In today’s application economy, everyone is in the software business. Auto makers are putting Wi-Fi hotspots in their cars. Watches are trading gears for motherboards. Even
soda fountains have evolved from dumb machines into instrumented devices with touch-screen user interfaces.
This digital transformation is changing the way applications are developed, tested, moved through environments and released into production—and it’s putting new demands on IT teams with which they’re struggling to keep up.
At a high level, this is because the application delivery systems and processes at many enterprises were put in place when IT only had to push out an annual or semi-annual release. But as market pressures and executive mandates have forced teams to deliver innovations faster and more frequently, a new set of development, testing, automation and customer challenges have appeared—acting as obstacles that stand between you and your digital transformation goals.
This KPMG report looks at the typical costs associated with setting up and operating a manufacturing business in Bahrain, compared to the costs in other Gulf Cooperation Council (GCC) countries.
It covers company format>on; land rental and construction; utilities; manpower; visas and labor; and ports and commerce.
Today’s increasingly competitive global economy requires businesses to make decisions faster than ever. Businesses need instant insight into the status of their people and processes. But manual, paper-based processes undermine decision-making. Paper makes it difficult for businesses to make smart decisions about their operations and their working capital. Manual processes also are costly and inefficient, create headaches for front-line staff, introduce compliance and security risks, and stymie collaboration with trading partners.
Download this white paper to learn how a customer-centric supply chain requires not only new processes and technologies, but also a cultural shift in how retailers run their organizations and collaborate with their trading partners.
Although typically thought of as an artifact of legacy computing, batch processes remain vital to today’s real-time enterprises. Behind the real time systems that power the real time enterprise, such as customer order fulfillment, account management, supply chain scheduling and optimization, or financial trading systems, are regularly-updated back office business systems. Over the years, batch technology has evolved from script-based automation to rules or policy-driven workload automation.
We all have an intuitive idea of what an event is. However, when it comes to the use of the term "event" within a business context then it is easy to get confused. This papers seeks to explain what events are, whey they are important to your business, and what the options are for processing and managing these events (depending on their type and volume).
Today, as IT departments struggle to design and implement solutions capable of managing exponential data growth with strict requirements for application scale and performance, many
of them are turning to in-memory data grids (IMDGs).