The Intelligent Enterprise - In an era of “Big Data” organizations are looking to use analytic insight to improve their business. In response to these imperatives, organizations are increasingly buying or building a new class of systems - Decision Management Systems. Decision Management Systems leverage the growing power of predictive analytics to create agile, analytic and adaptive processes and systems.
Operationalizing Analytics - The most powerful examples of analytic success use Decision Management to deploy analytic insight into day to day operations helping organizations make more profitable operational decisions.
Managing the Next Best Activity Decision: Treating Customers Right, Every Time. No matter what the context or channel, Next Best Activity allows organizations to optimize each and every decision across the customer lifecycle – from customer acquisition to cross and up-sell, retention, customer service and more.
Beyond Business Agility: Becoming Adaptive and Analytic - Download the white paper from James Taylor's BBC 2012 Keynote.
The Decisions at the Heart of Your Process - How Decision Management simplifies business processes and improves results. Companies applying Business Process Management can create simpler and more agile processes, and more flexible business applications, by externalizing decisions and applying business rules to effectively manage those decisions. Integrating Business Rules Management Systems in the most dynamic parts of a business process improves visibility, builds in agility and helps ensure business/IT alignment.
Maximizing the Value of Business Rules - Decision Management streamlines and focuses business rules projects for faster, more effective deployment.
Business rules management systems deliver on the promise of costs savings, agility and happy customers. Yet for many companies, business rules efforts remain point solutions. Decision Management is a proven framework to drive the widespread adoption of business rules and drive improved business performance across the company.
Putting Predictive Analytics To Work - Applying predictive analytics to operational decision making is the next wave of business innovation. Operational decisions are critical to how an organization treats, and is perceived by, its customers and its partners. Decision Management is the framework needed to fully exploit this opportunity.
Next Generation Claims Systems - Today’s insurance claims systems deliver value to companies by increasing efficiency through process automation and workflow. Manual decision points create bottlenecks and under-utilize expertise. Insight from analysis is restricted to the back office. A new generation of claims systems is required.
Becoming a Decision-Centric Enterprise - Organizations face many challenges in today’s business climate and are handicapped by systems that are centered on processes or functions. To succeed, these organizations need to move their thinking from processes and functions to decisions.
The Case for Centralized Customer Decisioning - As marketers strive for a genuine dialogue with their customers, an interactive and personalized experience that builds brand and develops relationships, they must identify critical customer treat- ment decisions. In particular, they must look for opportunities to make decisions customer-by-customer.
Smarter Systems for an Uncertain World In an increasingly uncertain world, businesses require agility more than ever. But no organization can be more agile than its systems. Decision Management transforms your hard-to-change IT applications into action–oriented, flexible, predictive, smarter systems that learn and adapt.
Transforming Telecom Retention with Analytics - Customer churn is top of mind for telecommunications companies. The use of analytics to find churn risks, predict future customer value, target retention offers and optimize retention spend is transforming customer retention. Putting information to work improving retention decisions across all channels is an ongoing competitive battleground for telecommunications.
Transforming Healthcare Delivery with Analytics - Hospitals and clinics invest heavily in approaches to improve care. As the amount of information available grows and as more devices deliver information in real time, new techniques are required. Using analytics to create new insights and optimize all types of decisions can transform healthcare delivery.
Transforming Retail Marketing with Analytics - Retailers need to develop a loyal customer base and market effectively to them. But customers increasingly shop in multiple channels and formats, and have more choices than ever before. Using analytics to target customers with personalized marketing can transform the retail environment, building brand loyalty and increasing sales.
Transforming K-12 Education wth Analytics - Using analytics to reduce drop-out rates, improve academic results and engage parents and students is transforming K-12 education. Putting information to work to improve day-to-day decision making by teachers, administrators and even students, is the next wave of K-12 innovation.
Maximizing Government Effectiveness with Analytics - Government agencies need to maximize the value of the resources they are budgeted. Using analytics to improve decision making is an effective tool to focus people on the most problematic cases, deliver better services without increased cost, or reduce overhead and administration.
The ROI of SAP NetWeaver Decision Service Management - The business case for SAP NetWeaver Decision Service Management, SAP’s business rules management system is clear—increased business value, decreased development and maintenance costs, and rapid time to value.