You’ve made a major investment in Oracle E-Business Suite applications to run your critical enterprise processes. But these processes stretch beyond Oracle E-Business Suite and rely on a mix of custom and packaged applications.
Management of your critical enterprise processes has become a pressing challenge. Too many staff are tied up in managing the process, as well as finding and diagnosing process errors. SLAs are frequently missed, and customers perceive poor quality of service due to the recurring errors and delays, which are now impacting your critical processes, such as financial period end close, invoicing, payroll and materials requirements planning (MRP) processing. You’ve decided it’s time to consider automation.
Automating Oracle E-Business Suite processes end-to-end can eliminate 90% of business process errors. Download this whitepaper to find out how.
Published By: Workday
Published Date: Mar 02, 2018
Before Workday, Panera Bread’s payroll processes were manual, inefficient, and error-prone,
and payroll nightmares and compliance risks were a regular occurrence. Complex systems and costly
integrations made it impossible for the company to keep up with its rapid growth or gain valuable
insights into global labor expenses. See the infographic to learn why unifying HR, payroll, time tracking,
and absence management in a single system allows Panera to use one consistent, flexible, and scalable
system across the U.S. and Canada.
The purpose of expense reporting software is to streamline your team’s workflow for submitting and reviewing business expenditures. By implementing an expense management solution, you can decrease the time and costs associated with processing expenses and increase your visibility into the implications of business spend, while helping improve general expense policy compliance and reduce expense fraud.
"The appearance of your reports and dashboards – the actual visual appearance of your data analysis -- is important. An ugly or confusing report may be dismissed, even though it contains valuable insights about your data. Cognos Analytics has a long track record of high quality analytic insight, and now, we added a lot of new capabilities designed to help even novice users quickly and easily produce great-looking and consumable reports you can trust.
Watch this webinar to learn:
• How you can more effectively communicate with data.
• What constitutes an intuitive and highly navigable report
• How take advantage of some of the new capabilities in Cognos Analytics to create reports that are more compelling and understandable in less time.
• Some of the new and exciting capabilities coming to Cognos Analytics in 2018 (hint: more intelligent capabilities with enhancements to Natural Language Processing, data discovery and Machine Learning)."
Recognizing the shift to a subscription business model required real-time customer support, Autodesk turned to IBM technology to enhance its customer experience.
Using Watson Assistant, Autodesk developed a virtual agent to interact with customers, applying natural language processing (NLP) and deep learning techniques to recognize and extract the intent, context and meaning behind inquiries. Quickly resolving easy customer concerns, Watson Assistant is supporting 100,000 conversations per month, with response times 99% faster than before and leading to a 10-point increase in customer satisfaction levels for Autodesk.
Find out how Watson Assistant can accelerate your customer support experience.
Click here to find out more about how embedding IBM technologies can accelerate your solutions’ time to market.
Published By: Genesys
Published Date: Jun 11, 2018
While most companies today support multi-channel customer service, they typically manage individual channels in silos, resulting in a fragmented customer experience.
Moving to an omnichannel contact center solution will not only provide a substantial competitive advantage, it will also improve the overall experience and satisfaction of both agents and customers.
Download this tip sheet to learn eleven metrics for building your business case for omnichannel customer service including:
• 50% reduction in processing of duplicate messages across channels
• Over 20% increase in First Contact Resolution
• 15% increase in CSAT
Published By: DocStar
Published Date: Jun 11, 2018
You arrive at the office and watch helplessly as your AP processing team tries to
avoid an avalanche of paper invoices while simultaneously juggling non-stop vendor service calls.
The phones are ringing off the hook and the sound and sight of inefficiency is maddening—no one is happy.
You try to move, but can’t.
Thankfully you wake up and realize it was just a dream.
Wiping the drool from your cheek, you resolve to update your own AP process before it’s too late.
This scenario is a familiar recurring nightmare shared by many Accounts Payable Managers, Controllers and CFOs—and for good reason.
Without scalable AP and invoice processing, your business cannot flourish or reach maximum potential.
In this eBook, we’ll show you how integrating your AP processing with your accounting software will help you save time and money, allowing you and your team to focus on your customers and your business.
Published By: Workday
Published Date: Jan 16, 2018
Financial transformation by definition is not something you can bolt on—it requires a willingness to question long-held assumptions and envision where you want to go and a total technology rethink. In the next blog, we’ll take a closer look at how one, unified, cloud-based system can create the perfect environment for finance to handle transaction processing and compliance and control while delivering the answers the business needs.
Written by: IDC Abner Germanow, Jonathan Edwards, Lee Doyle IDC believes the convergence of communications and mainstream IT architectures will drive significant innovation in business processes over the next decade.
AP automation doesn’t have to be complicated or expensive. By supporting your efforts with streamlined technology and hardware, a small amount of training, and open communication, automating AP operations can actually be very simple.
This report was developed to provide you with real, simple steps you can take to digitize and streamline your invoice processing. As you do so you’ll recognize significant benefits, including happier employees and a healthier bottom line.
Continuous member service is an important deliverable for credit unions, and. the continued growth in assets and members means that the impact of downtime is affecting a larger base and is therefore potentially much more costly. Learn how new data protection and recovery technologies are making a huge impact on downtime for credit unions that depend on AIX-hosted applications.
The SAP HANA platform provides a powerful unified foundation for storing, processing, and analyzing structured and unstructured data. It funs on a single, in-memory database, eliminating data redundancy and speeding up the time for information research and analysis.
The spatial analytics features of the SAP HANA platform can help you supercharge your business with location-specific data. By analyzing geospatial information, much of which is already present in your enterprise data, SAP HANA helps you pinpoint events, resolve boundaries locate customers and visualize routing. Spatial processing functionality is standard with your full-use SAP HANA licenses.
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
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.
In midsize and large organizations, critical business processing continues to depend on relational databases including Microsoft® SQL Server. While new tools like Hadoop help businesses analyze oceans of Big Data, conventional relational-database management systems (RDBMS) remain the backbone for online transaction processing (OLTP), online analytic processing (OLAP), and mixed OLTP/OLAP workloads.
What if you could reduce the cost of running Oracle databases and improve database performance at the same time? What would it mean to your enterprise and your IT operations?
Oracle databases play a critical role in many enterprises. They’re the engines that drive critical online transaction (OLTP) and online analytical (OLAP) processing applications, the lifeblood of the business. These databases also create a unique challenge for IT leaders charged with improving productivity and driving new revenue opportunities while simultaneously reducing costs.
The Cisco® Hyperlocation Solution is the industry’s first Wi-Fi network-based location system that can help businesses and users pinpoint a user’s location to within one to three meters, depending on the deployment. Combining innovative RF antenna and module design, faster and more frequent data processing, and a powerful platform for customer engagement, it can help businesses create more personalized and profitable customer experiences.
Published By: OpenText
Published Date: Mar 02, 2017
Watch the video to learn how Procure-to-Pay (P2P) solutions automate B2B processes to help you gain better visibility into transaction lifecycles, improve efficiency, and increase the speed and accuracy of order, shipping, and invoice processing.
The Internet of Things (IoT) is composed of sensor-embedded devices and machines
that exchange data with each other and the cloud through a secure network.
Often referred to as “things” or “edge devices”, these intelligent machines
connect to the internet either directly or through an IoT gateway,
enabling them to send data to the cloud. Analyzing this data can reveal
valuable insights about these objects and the business processes
they’re part of, helping enterprises optimize their operations.
Devices in IoT deployments can span nearly any industry or use case.
Each one is equipped with sensors, processing power, connectivity,
and software, enabling asset control and other remote interactions
over the internet. Unlike traditional IT assets, these edge devices are
resource-constrained (either by bandwidth, storage, or processing
power) and are typically found outside of a data center, creating unique
security and management considerations.
Published By: Oracle CX
Published Date: Oct 20, 2017
With the growing size and importance of information stored in today’s
databases, accessing and using the right information at the right time has
become increasingly critical. Real-time access and analysis of operational
data is key to making faster and better business decisions, providing
enterprises with unique competitive advantages. Running analytics on
operational data has been difficult because operational data is stored in row
format, which is best for online transaction processing (OLTP) databases,
while storing data in column format is much better for analytics processing.
Therefore, companies normally have both an operational database with data
in row format and a separate data warehouse with data in column format,
which leads to reliance on “stale data” for business decisions. With Oracle’s
Database In-Memory and Oracle servers based on the SPARC S7 and
SPARC M7 processors companies can now store data in memory in both
row and data formats, and run analytics on their operatio
Published By: Infosys
Published Date: May 30, 2018
Customers today are far more concerned about the contents and origin of a product than ever before. in such a scenario, granting them easy access to product information, via digital initiatives such as SmartLabel™, goes a long way in strengthening customer trust in a brand. But it also means expending several man-hours of effort processing unstructured data, with the possibility of human error.
Intelligent automation can help save effort and time, with virtually error-free results. A consumer products conglomerate wanted a smart solution to implement SmartLabel™ compliance. See how Infosys helped and the five key takeaways from the project.
Published By: IBM APAC
Published Date: Apr 27, 2018
While relying on x86 servers and Oracle databases to support their stock trading systems, processing rapidly increasing number of transactions fast became a huge challenge for Wanlian Securities. They shifted to IBM FlashSystem that helped them cut average response time for their Oracle Databases from 10 to less than 0.4 milliseconds and improved CPU usage by 15%.
Download this case study now.
As of May 2017, according to a report from The Depository Trust &
Clearing Corporation (DTCC), which provides financial transaction and data processing services for the global financial industry, cloud computing has reached a tipping point1. Today, financial services companies can benefit from the capabilities and cost efficiencies of the cloud. In October of 2016, the Federal Deposit Insurance Corporation (FDIC), the Office of the Comptroller of Currency (OCC) and the Federal Reserve Board (FRB) jointly announced enhanced cyber risk management standards for financial institutions in an Advanced Notice of Proposed Rulemaking (ANPR)2. These proposed standards for enhanced cybersecurity are aimed at protecting the entire financial system, not just the institution. To meet these new standards, financial institutions will require the right cloud-based network security
platform for comprehensive security management, verifiable compliance and governance and active protection of customer data