"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.
Although typically thought of as an artifact of legacy computing, batch processes remain vital to today’s real-time enterprises. Behind the real time systems that power the real time enterprise, such as customer order fulfillment, account management, supply chain scheduling and optimization, or financial trading systems, are regularly-updated back office business systems. Over the years, batch technology has evolved from script-based automation to rules or policy-driven workload automation.
FICO® Optimization Solutions for Manufacturers is an integrated and flexible modeling, solving and rapid application development platform for building solutions across the entire lifecycle of manufacturing and supply chain business challenges. It helps businesses readily account for massive amounts of data as well the myriad constraints and conflicting objectives within your business. This easy-to-modify solution incorporates strong and proven optimization engines, flexible workflow and usability at every level to drive consistent, transparent and profitable decisions, which ultimately drive the best action(s) for your business.
Today’s supply chain is, of course, the primary processing mechanism of every manufacturing company. But it’s more than that: Its multifaceted, multicompany, multinational structure makes it the most complex management challenge found in any enterprise. Supply chain management no longer means just making sure that the right resources and the right materials move to the right place at the right time.
The capabilities that enterprise resource planning (ERP) systems enable in wholesale and distribution have a wide umbrella of influence throughout an organization. Using ERP data to make better business decisions while cutting your costs is only one way you can make the most of your system.
In this download, a panel presents how their organizations are working to drive continued spend adoption through process-based enablement, category flight planning, team reorganization, and other important initiatives.
Published By: Anaplan
Published Date: Sep 07, 2018
Putting inventory in the right place at the right time
No company wants to be known as the “company that never delivers.” That’s what poor inventory optimization leads to, as customers wait for that guaranteed two-day shipping that turns into three, four, five days, and beyond. To stay competitive and keep customers loyal, you need to know where to store inventory and for how long. Optimizer for Anaplan makes inventory optimization fast and easy.
Inside this paper, you’ll find:
Why optimization is key to supply chain success
How inventory optimization works with Optimizer in Anaplan
FICO commissioned this research report with IndustryWeek to explore and understand how more than 400 manufacturing senior executive and managers are using supply chain optimization (SCO) in their businesses.
Manufacturing companies have been using supply chain optimization (SCO) solutions?to solve complex operational challenges and improve their supply chains for years now. To reduce the costs of servicing customers and improve performance, manufacturers have made significant investments in supply chain optimization (SCO) solutions over the past decade or more. But why do some companies have had better results than others?
Want to solve rapid application development platform for building solutions across the entire lifecycle of manufacturing and supply chain business challenges? Optimizing supply chain strategies helps businesses readily account for massive amounts of data as well the myriad constraints and conflicting objectives within your business. This easy-to-modify solution incorporates strong and proven optimization engines, flexible workflow and usability at every level to drive consistent, transparent and profitable decisions, which ultimately drive the best action(s) for your business.
In a rapidly advancing and changing market, retailers need to be prepared for the unexpected, from the impacts of new payment options, to the challenges of new entrants and innovations, increasingly complex global supply chains and digitally empowered customers looking to direct their own shopping experience.
While many retailers continue to keep in-store and on-line interactions separate, the leading retailers understand that all channels must be seamlessly integrated to help ensure success — including optimizing logistics for a smarter shopping experience, managing or sourcing on-line inventory to respond to consumer demand, striking the right balance between customer satisfaction and maximising return, and space optimization in the store itself.
The role of analytics in managing, improving and ultimately transforming supply chains cannot be understated. But what about the analytics themselves? FICO’s Zahir Balaporia and renowned author Tom Davenport use the term “The Analytics Supply Chain” to reflect that the actual analytics themselves parallel supply chains, with inherent challenges and problems if things “get stuck.” Rethinking analytics in these terms can not only improve supply chain performance, but also any other business problems you seek to solve.
This article targets:
· Steps in the analytics supply chain and the vital role of data and analytic models
· How your predictions, recommendations and insights need to rely on similar attributes to finished manufactured products;
· Key questions to ask yourself in determining where you need to fix your analytics supply chain.