From intelligent automation to advanced analytics, disruptive technology will enable the finance function to provide all of its services more effectively and efficiently. Find out how technology will change the way finance delivers transactional services, expert services and business partnering,
Read this report to discover:
• how automation in finance can deliver expert services more reliably and with smaller workforces
• how to design an agile workforce of humans and technologies
• how the finance function will shift to be part of a cross-functional analytics model that provides key insights to the business
Traditional strategies for driving sales are no longer enough. Brands that only connect with customers on a transactional basis are losing out to more innovative brands that create a richer experience for customers.
Read this story to find out:
• how we developed a digital strategy to restore growth to an iconic sporting brand
• how data can drive a dynamic connection with customers and create new opportunities for growth
• key principles for developing your own digital strategy.
Published By: StrongMail
Published Date: Jun 08, 2008
The growing trend towards insourcing marketing and transactional email is being driven by businesses that are looking for ways to improve their email programs, increase data security and lower costs. When evaluating whether it makes more sense to leverage an on-premise or outsourced solution, it's important to understand how the traditional arguments have changed.
Organizations realize they need analytics to run, grow, and differentiate their products
and services. More than just driving strategic decision making, they need to incorporate
analytics into their high-volume operational and transactional decisions every minute
of every day. This means that analytics is no longer just the responsibility of the data
science team. Organizations have to continuously deliver analytics into operational
systems in a systemic, high-quality and dependable way.
To ensure loyalty and win new customers, leading brands are focusing on the quality of their customer care to stay ahead. This eBook will explain how you can:
-Upgrade your support centers to deliver omni-channel customer care.
-Introduce self-service and AI without sacrificing the human touch.
-Deploy technology to empower support agents to go beyond transactional service and deliver personalized, proactive service.
This eBook looks at the barriers which prevent companies delivering omni-channel service and then examines the process and technology changes required to overcome them.
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.
Business Spend Management Improves Visibility and Control Over Spend for Financial Leaders
Closing the books can be a tedious, manual process when accrual balances don’t match AP balances and a backlog of invoices cause an increase in resource hours.
Get insight on how Salesforce and Ionis Pharmaceuticals leverage business spend management to streamline the financial close.
Read this eBook to learn how to:
• Automate spend processes to cut heavy manual workloads
• Gain full visibility and control over spend
• Move from transactional “spreadsheet jockey” to strategic management
• Minimize risk associated with missed accruals
Financial institutions (FIs) must support the channels and services that consumers demand in order to remain competitive with each other and with disruptive competitors. To that end, supporting account opening, delivering new transactional features, and facilitating payments through digital channels have become table stakes. Unfortunately, the speed and convenience that these capabilities afford is a benefit to consumers and fraudsters alike. To successfully prevent fraud while retaining the benefits of offering digital financial services, FIs must understand how fraudsters are exploiting these capabilities and fight fraud with customer experience in mind.
The SAP HANA platform has successfully become a proven mainstay data management solution, supporting the full range of analytic and transactional software from SAP, both in the data center and in the cloud.
Published By: Oracle CX
Published Date: Oct 20, 2017
Databases have long served as the lifeline of the business. Therefore, it is no surprise that performance has always been
top of mind. Whether it be a traditional row-formatted database to handle millions of transactions a day or a columnar
database for advanced analytics to help uncover deep insights about the business, the goal is to service all requests as
quickly as possible. This is especially true as organizations look to gain an edge on their competition by analyzing data
from their transactional (OLTP) database to make more informed business decisions. The traditional model (see Figure
1) for doing this leverages two separate sets of resources, with an ETL being required to transfer the data from the OLTP
database to a data warehouse for analysis. Two obvious problems exist with this implementation. First, I/O bottlenecks
can quickly arise because the databases reside on disk and second, analysis is constantly being done on stale data.
In-memory databases have helped address p
Your business may need to keep track of dozens of different
initiatives—but that doesn’t mean you need dozens of
separate storage solutions to get the job done. To reduce
complexity, your business may consider storage solutions
that can take care of multiple jobs at once without sacrificing
performance. For example, if you operate a brick-and-mortar
store and an online store, you should be able to retrieve
customer data from both sources without compromising
transactional database performance. The all-flash Dell EMC™
SC5020 storage array aims to be just such a solution.
The all-flash Dell EMC SC5020 storage array handled transactional database workloads and data mart imports better than an HPE solution without sacrificing performance.
With the all-flash Dell EMC™ SC5020 storage array, your company could attend to more customer orders each minute and save time while simultaneously importing data.
Your business may need to keep track of dozens of different initiatives—but that doesn’t mean you need dozens of separate storage solutions to get the job done. To reduce complexity, your business may consider storage solutions that can take care of multiple jobs at once without sacrificing performance. For example, if you operate a brick-and-mortar store and an online store, you should be able to retrieve customer data from both sources without compromising transactional database performance. The all-flash Dell EMC™ SC5020 storage array aims to be just such a solution.
raditional backup systems fail to meet the needs of
modern organizations by focusing on backup, not
recovery. They treat databases as generic files to be
copied, rather than as transactional workloads with
specific data integrity, consistency, performance, and
Additionally, highly regulated industries, such as financial
services, are subject to ever?increasing regulatory
mandates that require stringent protection against data
breaches, data loss, malware, ransomware, and other
risks. These risks require fiduciary?class data recovery
to eliminate data loss exposure and ensure data integrity
This book explains modern database protection and
recovery challenges (Chapter 1), the important aspects
of a database protection and recovery solution
(Chapter 2), Oracle’s database protection and recovery
solutions (Chapter 3), and key reasons to choose
Oracle for your database protection and recovery
needs (Chapter 4).
In the end, the Dell EMC VMAX 250F with Intel® Xeon® Processor All Flash storage array lived up to its promises better than the HPE 3PAR 8450 Storage array did.
We experience minimal impact to database performance when the VMAX 250F processed transactional and data mart loading at the same time. This is useful whether you're performing extensive backups or compiling large amounts of data from multiple sources.
Intel Inside®. New Possibilities Outside.
Prevent unexpected downtime with reliable failover protection.
We interrupted access both local storage arrays - the Dell EMC database host seamlessly redirected all I/O to remote VMAX 250F with Intel® Xeon® Processor via SRDF/Metro with no interruption of service or downtime. The 3PAR solution crashed until the standby paths became active and we restarted the VM.
Traditional backup systems fail to meet the database protection and recovery requirements of modern organizations. These systems require ever-growing backup windows, negatively impact performance in mission-critical production databases, and deliver recovery time objectives (RTO) and recovery point objectives (RPO) measured in hours or even days, failing to meet the requirements of high-volume, high transactional databases -- potentially costing millions in lost productivity and revenue, regulatory penalties, and reputation damage due to an outage or data loss.
Compare IBM DB2 pureScale with any other offering being considered for implementing a clustered, scalable database configuration see how they deliver continuous availability and why they are important. Download now!
Manufacturing suppliers range from approved vendors and contract manufacturers (CMs) who
only deliver materials and services to complex strategic partnerships. A transactional relationship based primarily on order fulfillment might work well for some companies. However, by taking a CM relationship to the next level of supplier-partner, organizations gain strategic benefits including cost savings, reduced risks, and optimized profits. The right cultural fit and the right-sized partner for your business can play a key role in building this long-term relationship.
Published By: Rackspace
Published Date: Apr 02, 2019
Traditional retailers seeking to digitalize their brand connections to customers, do so with Eagle Eye AIR, a SaaS platform for creating intelligent, real-time digital and mobile solutions for promotions, loyalty programs, rewards and more.
With rapid business growth, the volumes of transactions processed per second are constantly being rewritten – yet, its customers’ transactional throughput keeps running smoothly – which is all thanks to the successful migration of its dedicated infrastructure to Google Cloud Platform (GCP).
Being a longstanding customer of Rackspace, Eagle Eye trusted the Rackspace Managed Services team in providing expert guidance for every stage of its migration project – which is part of a bigger exercise to transform its technical capabilities.
Finance and accounting outsourcing is a growing trend among middle market and high-growth companies, providing a cost-effective way for organizations to improve the finance and accounting function. The key benefits of outsourcing include fractional use of finance and accounting professionals, enhanced processes and technologies, and stronger compliance measures. Outsourcing enables organizations to scale resources up and down as needed with no obligation to pay salaries or benefit costs. Additionally, it alleviates the burden of hiring, training and maintaining accounting staff.
Analyst Mike Ferguson of Intelligent Business Strategies writes about the enhanced role of transactional DBMS systems in today's world of Big Data. Learn more about how Big Data provides richer transactional data and how that data is captured and analyzed to meet tomorrow’s business needs. Access the report now.
Published By: Workday
Published Date: Jan 17, 2019
At Workday, we take a unique approach to development. We build one technology
platform, on a single codeline, giving you a single security model and one source of truth. See how our
singular methodology delivers real-time transactional data everyone can trust.
IBM's recently released DB2 version 11.1 for Linux, Unix and Windows (LUW) is a hybrid database that IBM says can handle transactional and analytic workloads thanks to its BLU Acceleration technology, which features an in-memory column store for analytical workloads that can scale across a massively parallel cluster.