IBM Decision Optimization
Decision Optimization Enables Financial Institutions to Manage Risk, Innovate and Improve Operational Efficiency
aeortiz 2700024WMF Tags:  ibm finance business optimization industry solutions banking cplex mainframe analytics 3,282 Views
Though constrained by economic pressure and increasing security concerns, banks are leveraging IT investments to drive business growth. In industries characterized by heavy mainframe usage, such as banking and finance, it’s crucial to maintain customer data security, scalability and performance, and reduce hardware and software maintenance costs. Deploying optimization on the mainframe helps tackle these IT goals through simplified architecture that assists in automating and streamlining transactional decision making while lowering costs for both firms and customers. Learn more: ttp://www.ibmsystemsmag.com/mainframe/Business-Strategy/BI-and-Analytics/cplex_optimizer/
aeortiz 2700024WMF Tags:  chain optimization ilog business scm ibm advanced supply analytics 3,378 Views
Date: Tuesday, March 29, 2011
Time: 11:30 EST, 10:30 CST, 9:30 MST, and 8:30 PST
Optimization in and of itself is nothing new but it is
often overlooked by Line of Business and Information Technology
professionals since many instances of it are embedded inside "classic
supply chain management applications". Optimization allows companies to
make sense of the massive amounts of data across the extended
enterprise. By applying this data in unique and innovative ways, firms
can optimize business outcomes by anticipating, controlling and adapting
to a dynamically changing and chaotic environment, using the insights
from visibility, analytics and trading partner collaboration to direct
and control operations more intelligently.
With the advent of "Optimization 3.0", firms now have the ability to layer or integrate key advanced analytics technology on top of existing supply chain planning and execution systems to support both long-term (strategic) and short-term (tactical) planning goals as well as detailed scheduling while continuously improving operational efficiency, reducing costs and ultimately enhancing the overall customer fulfillment experience. This new combination of State-of-the-Art advanced analytics and B2B integration gives businesses the unprecedented ability to quickly model and solve across the most complex systems and implement solutions in near real-time, creating truly adaptive supply chains.
aeortiz 2700024WMF Tags:  spss ibm optimization ilog cplex business chicago advanced analytics 4,254 Views
IBM Advanced Analytics Summit
Wednesday, April 13, 2011
9:00 a.m. - 5:15 p.m.
Chicago Marriott Downtown Magnificent Mile
Chicago, Illinois 60611
This live complimentary event will show you how IBM, through its ILOG® Optimization and SPSS portfolio and Business Analytics & Optimization service line, enables organizations to quickly and confidently answer fundamental business questions, from: Who will be our most profitable customers tomorrow? to What price will maximize profit from sales?
Learn and share best practices in implementing advanced analytics to your most critical business decisions.
Breakfast and lunch included.
aeortiz 2700024WMF Tags:  products commerce ilog consumer scm inventory chain analytics supply business smarter optimization cp cpg stockouts ibm 4,171 Views
How Smarter Inventory Analytics Solve the "Out-of-Stock" Scenario for CPG Supply Chains
Date: Tuesday, May 17, 2011
Time: 11:30 ET, 10:30 CT, 9:30 MT and 8:30 PT
Place: Your PC
Fulfilling the Three A's: Adaptability, Agility and Alignment
In the recent years, we have seen a transformation in consumer behavior. The use of social media allows consumers to exchange thoughts; the migration from controlled media and monitored media. Easy information access combined with more educated consumers is making promotion planning more important. Finally, the chase for "value" is not only changing the timing of purchases but also location and brand. All these changes on the demand side are forcing consumer products companies to think about supply side in terms of: Demand Driven Supply Networks.
The supply chains are being transformed into complex supply networks with the introduction of co-packers, co-manufacturers and service providers. Commodity price increases and fluctuations are adding to volatility and margin pressures. Overall, changing consumer behavior, and increases in complexity, globalization and cost reduction pressures all force consumer products supply chains to fulfill the three A's: Adaptability, Agility and Alignment.
The crux of these strategies relies upon the application of Business Analytics to help close the gap between planning and execution. In this case, Closed-Loop Dynamic Inventory Optimization is leveraged to set appropriate inventory targets throughout the global supply chain and ensure that the right products are positioned in front of the right customers at the right time.
Closed-Loop Dynamic Inventory Optimization is a core process that regularly tunes policies across the supply chain to keep inventory closely aligned with changing conditions. But, the organizational value of such an approach goes beyond the more obvious metrics of improving service levels, order lead times, and inventory positioning. For example:
The application of Business Analytics on top of traditional supply chain planning and execution solutions gives CP Manufacturers the unprecedented ability to continuously improve operational efficiency, reduce costs, and enhance the customer experience.
Michael S. Watson, Ph.D., WW Optimization & Supply Chain Lead at IBM,
Remzi Ural, Global Supply Chain Management Solutions Lead, Consumer Products Industry at IBM
SCDigest Editor Dan Gilmore.
aeortiz 2700024WMF Tags:  smarter ibm business commerce ilog optimization analytics 4,383 Views
Customer expectations have grown for not only what they are buying and how they are buying it, but how it is fulfilled and when they will receive it. They want to buy online and pick up in the store, or have it shipped direct to their home or office -- and they don't want to wait.
This shift has supply chain professionals moving beyond transactional enterprise systems and operational rules of thumb to a more advanced value chain. The value chain takes advantage of all this new granular customer data to enable organizations to respond to demand variability at the point of consumption -- connecting the supply chain directly to customer demand, orchestrating seamlessly between trading partners and suppliers. This is an inherently multi-enterprise, cross-functional collaborative process that requires bringing together a vast amount of data from disparate sources to make the right strategic, tactical and operational choices.
In this webinar, we will discuss the strategic requirement to creating a successful value chain:
Adrienne Selko manages the editorial content of IndustryWeek's award-winning Web site. Before joining the staff in 2004, Selko was managing editor of corporate publications at a large regional financial institution. She was also an editor for the U.S. based publication of a medical manufacturing company. Prior to that she ran a public relations and marketing company that published a best-selling healthcare book. Selko received a bachelor's of business administration from the University of Michigan.
Richard Douglass is the Worldwide Industry Director, Manufacturing, Smarter Commerce within the software group of IBM, where he is responsible for industry marketing and key industry account support. He has over twenty-five years of experience in supply chain management consulting and solutions development in a variety of manufacturing sectors ranging from chemicals to high tech. Prior to joining, Douglass had similar responsibilities at Sterling Commerce and webMethods, integration and application software providers, and prior to that he was an associate partner at Accenture, a global consulting firm.
He received a bachelor's in computer science from Michigan State University and an MBA from the Kellogg Graduate School of Management at Northwestern University. He is certified as a Six Sigma Black Belt. He is a senior fellow at the University of Maryland.