SAP S/4HANA Retail for merchandise management is at the core of a comprehensive suite of retail offerings designed to help retailers meet the demands of a digital economy. It supports retail core processes end to end, starting with master data down to point-of-sales (POS) connectivity. It allows insights into operational retail data, empowering users with contextual, real time information for faster and better decision making. Processes can easily be extended to connect to business networks to form a digital ecosystem and collaboratively drive business model improvements. Equipped with a simple and intuitive user experience, the solution offers better support for headquarters users as well as store associates to drive compelling customer experiences.
By selecting the right technology, you can maximize operational efficiency and decision-making, and propel your organization’s profitable growth. Download the eBook to learn more.
Smart on-line transaction processing systems will be able to leverage transactions and big data analytics on-demand, on an event-driven basis and in real-time for competitive advantage. Download to learn how!
To compete in today’s fast-paced business climate, enterprises need
accurate and frequent sales and customer reports to make real-time
operational decisions about pricing, merchandising and inventory
management. They also require greater agility to respond to business
events as they happen, and more visibility into business activities so
information and systems are optimized for peak efficiency and performance.
By making use of data capture and business intelligence to
integrate and apply data across the enterprise, organizations can capitalize
on emerging opportunities and build a competitive advantage.
The IBM® data replication portfolio is designed to address these issues
through a highly flexible one-stop shop for high-volume, robust, secure
information replication across heterogeneous data stores.
The portfolio leverages real-time data replication to support high
availability, database migration, application consolidation, dynamic
warehousing, master data management (MDM), service
"With the introduction of Oracle Database In-Memory and servers with the SPARC S7 and SPARC M7 processors Oracle delivers an architecture where analytics are run on live operational databases and not on data subsets in data warehouses. Decision-making is much faster and more accurate because the data is not a stale subset. And for those moving enterprise applications to the cloud, Real-time analytics of the SPARC S7 and SPARC M7 processors are available both in a private cloud on SPARC servers or in Oracle’s Public cloud in the SPARC cloud compute service.
Moving to the Oracle Public Cloud does not compromise the benefits of SPARC solutions. Some examples of utilizing real time data for business decisions include: analysis of supply chain data for order fulfillment and supply optimization, analysis of customer purchase history for real time recommendations to customers using online purchasing systems, etc.
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This book is written for readers who have varying levels of familiarity with ODM. It doesn’t focus on any particular vendor’s offering; instead, it talks about the features of ODM as a model for managing operational decision-making.
This paper explores why your business needs the latest operational decision management (ODM) solutions to help turn data insights into action. Discover how IBM Operational Decision Manager software and the IBM Business Process Manager platform work together to: *Recognize patterns that suggest opportunity or risk *Create and shape business events by automating decisions *Bring more dimension and precision to decision making by applying analytics to big data *Help you implement the right business processes by understanding data in context.
With workforce analytics, HR professionals can play a more pivotal role in their organizations to help direct senior management and hiring managers in connecting the dots between their company’s overall performance and their investment in their workforce.
Workforce analytics empower HR professionals to shift from being an operational function to becoming more of a strategic role within their organization. Workforce analytics uncovers deep insights into workforce data by drilling down into the data and highlighting both patterns of success to be repeated and patterns of failure that could lead to risk and impact.
Go from intuition- to fact-based workforce decision-making with this comprehensive guide to workforce analytics. This eBook includes advice on how to get started, tips to ensure successful implementation, and key recommendations for finding the right solution
To compete in today’s fast-paced business climate, enterprises need
accurate and frequent sales and customer reports to make real-time
operational decisions about pricing, merchandising and inventory
management. They also require greater agility to respond to business
events as they happen, and more visibility into business activities so
information and systems are optimized for peak efficiency and performance.
By making use of data capture and business intelligence to
integrate and apply data across the enterprise, organizations can capitalize
on emerging opportunities and build a competitive advantage.
This book is written for readers who have varying levels of
familiarity with ODM. It doesn’t focus on any particular vendor’s
offering; instead, it talks about the features of ODM as a
model for managing operational decision-making.
This book isn’t about offline business intelligence systems.
While those systems are very valuable, the focus of this book
is on automated decisions that can be executed in real time in
conjunction with your business applications and processes.
In this on-demand webinar from the Institute of Management Accountants (IMA), Sherri Liao of The Hackett Group and Jim Collins of IBM discuss the steps your organization can take to link financial planning to operational decision making more effectively. You’ll hear about:
Simplifying and amplifying reporting
Optimizing decision-making: Predictive vs. historical analytics
Aligning finance and operations
Reporting beyond finance to include cross-functional measures of performance
The path to building a World-Class finance organization
Zebra’s broad range of enterprise-level, healthcare-designed, end-to-end solutions provides a wealth of benefits throughout a healthcare facility, enabling clinicians, staff and administrators to sense, analyze and act in real time. Identity solutions can help improve accuracy and enhance patient safety, deliver greater operational efficiency and caregiver confidence, and improve the patient experience. Mobility solutions help improve staff communication and collaboration with enterprise effectiveness and workflow efficiency. Intelligence solutions offer greater visibility to data on patients, staff, assets and the facility overall for better decision making.
Download this whitepaper, Operational Analytics: Putting Analytics to Work in Operational Systems, for a better understanding of how to use analytics to improve your day-to-day business operations.
As a claims management professional, you have to deal daily with formidable - and sometimes competing - challenges: provide superior customer experience; achieve operational excellence and cost containment; and effectively manage risk. Predictive analytics can help you improve each of these three outcomes, but more importantly, it helps strike the right balance among these three objectives for each new claim received. Read this white paper from IBM to learn about applying predictive analytics to claims management, including the typical ROI achieved, how embedded analytics improves decision making, and technology components of a predictive analytics solution.
Although IDC is expecting worldwide spending on business analytics software to be $33 billion in 2012, technology is only part of the story.
The growing demand for faster response and deeper business insight is forcing companies to adopt a more pervasive approach to business intelligence (BI) that supports evidence-based decision making.
Higher BI and analytics competency and pervasiveness are achieved when organizational culture, business processes, and technologies are designed and implemented with the goal of improving or automating all strategic, operational, and tactical decision making capabilities of all stakeholders.
Access this paper to learn essential best practices for creating a solid BI and analytics strategy.
Learn how solutions for large hospitals that provide intelligently aggregate and summarize clinical, operational, and financial data can offer CFOs faster, hospital-wide insight. When CFOs can immediately access information across existing systems, better decision making and financial outcomes result.
This paper takes a look at technology spending, people development and aligning objectives in effective business management and the role they play in helping organizations achieve maximum performance.
Many organizations and agencies would like to improve their debt collection. They are aware that advanced analytics can help them optimize collections to drive down company debt and collection expenditures. However, they perceive that advanced analytics requires massive infrastructure changes, expensive software licenses, analytics expertise, long lead times and major upfront capital expenses.
BI and data warehousing have undergone significant changes in the past decade. With the advent of operational BI came major pressures on the BI environment, involving the need to support operational decision-making. This white paper explores these pressures and how to deal with them by creating a dynamic, future-proof infrastructure.
