data processes

What if you could use just one platform to detect all types of major financial crimes? One platform to handle the analytical tasks of fraud detection, including: Data processing and aggregation Data visualization Statistical/mathematical/machine learning modeling Batch/real-time scoring One platform that could successfully reduce complex and time-consuming fraud investigations by combining extremely different domains of knowledge including Business, Economics, Finance, and Law. A platform that can cover payments, credit card transactions, and know your customer (KYC) processes, as well as similar use cases like anti-money laundering (AML), trade surveillance, and crimes such as insurance claims fraud. Learn more about TIBCO's comprehensive software capabilities behind tackling all these types of fraud in this in depth whitepaper.

Today, you can improve product quality and gain better control of the entire manufacturing chain with data virtualization, machine learning, and advanced data analytics. With all relevant data aggregated, analyzed, and acted on, sensors, devices, people, and processes become part of a connected Smart Factory ecosystem providing: •? Increased uptime, reduced downtime •? Minimized surplus and defects •? Better yields •? Reduced cost due to better quality •? Fewer deviations and less non-conformance

Brands are seeing tremendous disruption in the areas of retail, consumer goods, and travel/ hospitality. To stay on pace with the changing needs and demands of these industries, you need to compete and thrive in new ways. Cognitive Enterprise is data-enabled, cloud-powered, transformational business. It doesn't see silos. It uses data to inform the next best step to improve processes spanning all areas of the business, including customer experience.

More data means more opportunities to discover powerful, actionable insights around customers, internal processes, and the broad market. Unfortunately, legacy IT architectures and approaches can block progressive analytics efforts. That leaves a lot of room for improvement, and the learning and investment curve for starting in analytics can be steep. However, tending to three core steps will prove immensely helpful on this journey: • Establishing an organizational foundation • Mapping the data pipeline • Transitioning analytics proofs of concept into production

Financial services organizations operate under a host of regulatory standards. This makes sense, as the assets and information managed by these firms are valuable, sensitive, and targeted by sophisticated cyber attackers daily. Compounding these challenges is the large volume of personally identifiable information (PII) that financial organizations handle regularly. PII is subject to many compliance regulations, notably the General Data Protection Regulation (GDPR), which regulates not only the processing of personal data, including PII, relating to individuals in the EU, for also any organization that processes personal data of EU residents. For US banking consumers, Section 5 (Unfair or Deceptive Acts or Practices) of the Federal Trade Commission Act and numerous state regulations enforce basic consumer protections, which financial organizations must also uphold.

In HR, you have access to an enormous amount of data. How do you filter out the noise from the insights? In this eGuide, and as part of the Getting the Basics Right series, you'll learn how to align on business and HR KPIs including a priority sequenced step-by-step approach to forming these processes.

In the digital economy, data is becoming more interconnected every day. The volume of highly-connected data is growing rapidly, while also becoming a highly-valued corporate asset. By exploring relationships among people, processes and things, new business opportunities emerge, helping grow your business's competitive advantage.

The EU’s General Data Protection Regulation (GDPR) became enforceable on May 25, 2018, and privacy laws and regulations around the globe continue to evolve and expand. Most organizations have invested, and continue to invest, in people, processes, technology, and policies to meet customer privacy requirements and avoid significant fines and other penalties. In addition, data breaches continue to expose the personal information of millions of people, and organizations are concerned about the products they buy, services they use, people they employ, and with whom they partner and do business with generally.

Bancolombia is an award winning, full-service financial institution that provides banking services to customers in 12 different countries and is one of the 10th largest financial groups in Latin-America.With bots from Automation Anywhere, Bancolombia sifts through structured, semi-structured, and unstructured customer data to transform their BPM. Bots automate hundreds of processes and greatly increasing back office efficiency, saving Bancolombia a significant amount of time servicing customers. This has led to an increase in CSAT numbers and has created additional revenue streams.

The University of Melbourne deployed Automation Anywhere’s Robotic Process Automation (RPA) technology to reduce manual work and automate a range of administrative processes across student admissions, faculty administration, and supplier tracking. The deployed software bots now automate the entry of all data and attachments for new admission applications, and the university has slowly expanded its automation capabilities for staff across other faculties. This has allowed the University of Melbourne to increase the efficiency of critical business processes, boost staff engagement, and improve customer experience for its teachers and student body.

Midsized firms operate in the same hypercompetitive, digital environment as large enterprises—but with fewer technical and budget resources to draw from. That’s why it is essential for IT leaders to leverage best-practice processes and models that can help them support strategic business goals such as agility, innovation, speed-tomarket, and always-on business operations. A hybrid IT implementation can provide the infrastructure flexibility to support the next generation of high-performance, data-intensive applications. A hybrid foundation can also facilitate new, collaborative processes that bring together IT and business stakeholders.

Whether your company has been selling online for 20 minutes or 20 years, you are undoubtedly familiar with the PCI DSS (Payment Card Industry Data Security Standard). It requires merchants to create security management policies and procedures for safeguarding customers’ payment data. Originally created by Visa, MasterCard, Discover, and American Express in 2004, the PCI DSS has evolved over the years to ensure online sellers have the systems and processes in place to prevent a data breach.

Many procurement departments are still using traditional manual processes or outdated technology. The result? Rogue spending, missed discounts from supplier contract pricing, reconciliation headaches, and the list goes on. These business risks are driving more organizations towards the cloud-based, secure, and workflow-friendly world of eProcurement solutions. These solutions are saving money and resources, improving use of budgets and personnel, enabling centralization, and using data to improve and streamline end-to-end purchasing processes. Download this report to learn about: Procurement trends from 400 organizations surveyed Operational and cost-savings benefits of eProcurement Leading features and functionality in eProcurement Adoption best practices and how to get started

Download this white paper to learn more about these notable findings from IDC's study of HP DC Service customers. HP Datacenter Care Service can reduce the costs of delivering mission-critical business processes by 23%. HP's Datacenter Care Service solution is able to reduce downtime by 88%, adding five hours of uptime annually to each internal user and $835,000 in revenue to each organization. Increasingly, x86 servers will need a higher level of operational support. On average, companies in this study were able to recognize an average ROI of 456% and pay back the initial investment in HP DC Service in six months.

Digital transformation (DX) — a technology-driven business strategy — enables firms to gain or expand their competitive differentiation by embracing data-driven decision-making processes, whether for increasing operational efficiencies, developing new products and services, increasing customer satisfaction and retention, or getting a better intelligence on the market. Big Data and analytics (BDA) applications form the foundation for enterprisewide digital transformation initiatives. To find out more download this whitepaper today.

Technology transitions—such as cloud, mobility, big data, and the Internet of Things—bring together people, processes, data, and things to make resources and connections more valuable to your business. They also challenge the role of IT in the enterprise. For your IT department to stay relevant to your lines of business, it must deliver value faster and invest in innovation. Cisco Unified Computing System™ (Cisco UCS®) integrated infrastructure makes it possible to deliver Fast IT—a new IT model that transforms your data center infrastructure into an environment that is fast, agile, smart, and secure. You can break down the IT barriers that are holding your business back and create solutions that capture the value of new connections and information.

Around-the-clock global operations, data growth, and server virtualization all together can complicate protection and recovery strategies. They affect when and how often you can perform backups, increase the time required to back up, and ultimately affect your ability to successfully restore. These challenges can force lower standards for recovery objectives, such as reducing the frequency of backup jobs or protecting fewer applications, both of which can introduce risk. High-speed snapshot technologies and application integration can go a long way toward meeting these needs, and they have quickly become essential elements of a complete protection strategy. But snapshot copies have often been managed separately from traditional backup processes. Features like cataloging for search and retrieval as well as tape creation usually require separate management and do not fully leverage snapshot capabilities. To eliminate complexity and accelerate protection and recovery, you need a solution

Today, nearly every datacenter has become heavily virtualized. In fact, according to Gartner as many as 75% of X86 server workloads are already virtualized in the enterprise datacenter. Yet even with the growth rate of virtual machines outpacing the rate of physical servers, industry wide, most virtual environments continue to be protected by backup systems designed for physical servers, not the virtual infrastructure they are used on. Even still, data protection products that are virtualization-focused may deliver additional support for virtual processes, but there are pitfalls in selecting the right approach. This paper will discuss five common costs that can remain hidden until after a virtualization backup system has been fully deployed.

Delivering exceptional customer experiences has become a key differentiator for top organizations today. Now you can see where your peers and competitors stand in the new Forbes Insights report Data Elevates the Customer Experience. This report is a comprehensive follow-up to an October 2015 preliminary pulse survey conducted among 105 executives of large global organizations. It identifies three categories of organizations – leaders, explorers and laggards – and measures the progress they have made with the data-driven customer experience based on three key pillars: organization (people), openness (data) and orchestration (processes). Read the results, find out where you stand and glean some new ideas from your peers about how to elevate the customer experience.

This TDWI Best Practices Report focuses on how organizations can and are operationalizing analytics to derive business value. It provides in-depth survey analysis of current strategies and future trends for embedded analytics across both organizational and technical dimensions, including organizational culture, infrastructure, data and processes. It looks at challenges and how organizations are overcoming them, and offers recommendations and best practices for successfully operationalizing analytics in the organization.

Technology transitions—such as cloud, mobility, big data, and the Internet of Things—bring together people, processes, data, and things to make resources and connections more valuable to your business. They also challenge the role of IT in the enterprise. For your IT department to stay relevant to your lines of business, it must deliver value faster and invest in innovation. Cisco Unified Computing System (Cisco UCS) integrated infrastructure makes it possible to deliver Fast IT—a new IT model that transforms your data center infrastructure into an environment that is fast, agile, smart, and secure. You can break down the IT barriers that are holding your business back and create solutions that capture the value of new connections and information.

The demands on IT today are staggering. Most organizations depend on their data to drive everything from product development and sales to communications, operations, and innovation. As a result, IT departments are charged with finding a way to bring new applications online quickly, accommodate massive data growth and complex data analysis, and make data available 24 hours a day, around the world, on any device. The traditional way to deliver data services is with separate infrastructure silos for various applications, processes, and locations, resulting in continually escalating costs for infrastructure and management. These infrastructure silos make it difficult to respond quickly to business opportunities and threats, cause productivity-hindering delays when you need to scale, and drive up operational costs.

Whether you’re new to Electronic Data Exchange (EDI) or looking to enhance your understanding, EDI Basics is for you. This ebook explains fundamental EDI concepts in simple language to help you move away from old, manual processes to an automated supply chain.

This whitepaper explores the new SPARC S7 server features and then compares this offering to a similar x86 offering. The key characteristics of the SPARC S7 to be highlighted are: ? Designed for scale-out and cloud infrastructures ? SPARC S7 processor with greater core performance than the latest Intel Xeon E5 processor ? Software in Silicon which offers hardware-based features such as data acceleration and security The SPARC S7 is then compared to a similar x86 solution from three different perspectives, namely performance, risk and cost. Performance matters as business markets are driving IT to provide an environment that: ? Continuously provides real-time results. ? Processes more complex workload stacks. ? Optimizes usage of per-core software licenses. Risk matters today and into the foreseeable future, as challenges to secure systems and data are becoming more frequent and invasive from within and from outside. Oracle SPARC systems approach risk management from multiple perspectiv

Focus on creating consistent terminology in order to generate insights from the digital data encircling employees, partners, processes and customers.