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
Statistical/mathematical/machine learning modeling
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.
Over the past decade there has been a major transformation in the manufacturing industry. Data has enabled a paradigm shift, with real-time IoT sensor data and machine learning algorithms delivering new insights for process and product optimization.
Smart Manufacturing, also known as Industry 4.0, has laid the groundwork for the next industrial revolution. Using a smart factory system, all relevant data is aggregated, analyzed, and acted upon.
We call this Manufacturing Intelligence, which gives decision-makers a competitive edge to:
Digitize the business
Survive digital disruption
Watch this webinar to understand use cases and their underlying technology that helped our customers become smart manufacturers.
• Simplify business process modeling: Quickly build processes in a straightforward cloud-based interface designed for both IT and business users
• Improve process efficiency and accuracy: A central process repository eliminates version control and consistency issues by providing users real-time access to process workflows
• Enhance cross-team collaboration: A shared team workspace engages all business process owners, encouraging cross-team participation and continuous process improvement
When you unify data across your organisation, supply chain management and planning becomes more holistic and accurate. You get a real time view of supply and demand, with intelligent insights into new opportunities for business growth. This video explains the opportunities waiting for any supply chain manager who is ready to embrace connected data.
Prepare for data leadership. Watch our video now.
AP automation is often described as low hanging fruit in the
garden of digital transformation. And for a good reason – the
barrier to entry is impressively low in terms of both cost and
effort needed to get up and running, particularly in comparison
to the implementation projects for other business applications.
Despite that fact, the value provided from AP automation is
comparably high. For such an easy implementation, the benefits
reach throughout an organization, beyond the walls of the AP
department, and are near-immediate from day one of using the
Standard benefits include:
- Immediate value from day one with an expected ROI within the first year
- Up to 95% truly touchless invoice processing with access to real-time cloud data for benchmarking and reporting
- Easy access to financial data, such as cash flow & accrual reporting, with full visibility and control of the AP process
This guide will help you kick-start your AP automation project by
defining the 6 steps to build a solid business case and gain the
internal approvals needed to get started.
To stay ahead of the competition in a global marketplace, firms are increasingly speeding up operations, in many cases adopting real-time systems and tools to allow for instant decision-making and faster business cycles. Download here to learn how.
Cyberattacks and undetected threats present constant risks to the safety of critical data and applications. CrowdStrike can help you overcome that risk with unified endpoint protection and real-time monitoring. This solution helps your organization gain visibility across your entire AWS environment and automatically detect and mitigate threats before they impact your business.
Register now to learn how CrowdStrike has helped Oak Hill Advisors (OHA), a global investment firm, secure the assets in their AWS environment by immediately assessing issues and automating their incident responses.
Fulfilling the security and compliance obligations within the AWS Shared Responsibility Model is critical as organizations shift more of their infrastructure to the cloud. Most infrastructure and application monitoring solutions haven’t caught up to meet these new requirements, forcing IT and security teams to resort to traditional monitoring strategies that don’t allow for innovation and growth.
Join us for this webinar to learn how Splunk and AWS give you end-to-end visibility across your applications and help quickly detect potential security threats. Find out how Experian leveraged Splunk Cloud to deliver log data in near real-time to their operations teams for analysis and monitoring, roll out new features/updates faster, create reusable features to deploy in multiple customer environments to scale with their business, and ensure adherence to security and compliance standards.
What’s the best way for businesses to differentiate themselves today? By delivering a unique, real-time customer experience across all touch points—one that is based on a solid, connected business strategy driven by data and analytics insights. We believe brands that gain the ultimate analytical advantage—by unifying the analytics life cycle from data to discovery to deployment—will also gain the ultimate competitive advantage through brand preference.
As the global business world shifts to all digital, real-time operations, the legacy two-tier ERP architecture so many businesses have relied on to bridge headquarters with subsidiaries can no longer compete effectively. A simple and comprehensive answer exists in SAP S/4HANA. Available in cloud and on-premise, SAP S/4HANA gives organizations the ability to utilize the same product family across a multi-tier deployment.
Learn how ERP software addresses the real-world challenges companies face as they look to grow in today’s global economy.
Take the virtual tour and see how your business can:
• Reach new markets, expand product lines and grow your business with deep Industry and country specific functionality
• Drive improved customer experience and accelerate the digital transformation of your business
• Expand collaboration within your company and throughout your supply chain with social and commerce solutions
• Respond quickly to changing demands with configurable real-time mobile capabilities
Please view the virtual tour below for more information about Epicor ERP version 10. The tour will acquaint you with Epicor ERP and offer insight on how Epicor inspires growth for leading business around the globe.
As digital business evolves, however, we’re finding that the best form of security and enablement will likely remove any real responsibility from users. They will not be required to carry tokens, recall passwords or execute on any security routines. Leveraging machine learning, artificial intelligence, device identity and other technologies will make security stronger, yet far more transparent. From a security standpoint, this will lead to better outcomes for enterprises in terms of breach prevention and data protection. Just as important, however, it will enable authorized users in new ways. They will be able to access the networks, data and collaboration tools they need without friction, saving time and frustration. More time drives increased employee productivity and frictionless access to critical data leads to business agility. Leveraging cloud, mobile and Internet of Things (IoT) infrastructures, enterprises will be able to transform key metrics such as productivity, profitabilit
From its conception, this special edition has had a simple goal: to help SAP customers better understand SAP HANA and determine how they can best leverage this transformative technology in their organization. Accordingly, we reached out to a variety of experts and authorities across the SAP ecosystem to provide a true 360-degree perspective on SAP HANA.
This TDWI Checklist Report presents requirements for analytic DBMSs with a focus on their use with big data. Along the way, the report also defines the many techniques and tool types involved. The requirements checklist and definitions can assist users who are currently evaluating analytic databases and/or developing strategies for big data analytics.
For years, experienced data warehousing (DW) consultants and analysts have advocated the need for a well thought-out architecture for designing and implementing large-scale DW environments. Since the creation of these DW architectures, there have been many technological advances making implementation faster, more scalable and better performing. This whitepaper explores these new advances and discusses how they have affected the development of DW environments.
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose built platforms more capable of meeting the real-time needs of a more demanding end user and the opportunities presented by Big Data. Significant strategy shifts are under way to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support Big Data and real-time needs of innovative enterprises companies.
Big data and personal data are converging to shape the internet’s most surprising consumer products. they’ll predict your needs and store your memories—if you let them. Download this report to learn more.
This white paper discusses the issues involved in the traditional practice of deploying transactional and analytic applications on separate platforms using separate databases. It analyzes the results from a user survey, conducted on SAP's behalf by IDC, that explores these issues.
The technology market is giving significant attention to Big Data and analytics as a way to provide insight for decision making support; but how far along is the adoption of these technologies across manufacturing organizations? During a February 2013 survey of over 100 manufacturers we examined behaviors of organizations that measure effective decision making as part of their enterprise performance management efforts. This Analyst Insight paper reveals the results of this survey.
This paper explores the results of a survey, fielded in April 2013, of 304 data managers and professionals, conducted by Unisphere Research, a division of Information Today Inc. It revealed a range of practical approaches that organizations of all types and sizes are adopting to manage and capitalize on the big data flowing through their enterprises.
In-memory technology—in which entire datasets are pre-loaded into a computer’s random access memory, alleviating the need for shuttling data between memory and disk storage every time a query is initiated—has actually been around for a number of years. However, with the onset of big data, as well as an insatiable thirst for analytics, the industry is taking a second look at this promising approach to speeding up data processing.
Over the course of several months in 2011, IDC conducted a research study to identify the opportunities and challenges to adoption of a new technology that changes the way in which traditional business solutions are implemented and used. The results of the study are presented in this white paper.