Join us for our upcoming webinar series on the why and how of building a decision requirements model and integrating it into a business rules management system. We will demonstrate how graphical decision requirement models work and how they can be integrated with executable decision models by working with leading business rules platforms.
Managing and Evolving Decisions with DecisionsFirst Modeler and SAP Netweaver Decision Service Management
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Creating and Managing Executable Decision Models with DecisionsFirst Modeler and OpenRules®
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Decision requirements models allow business analysts, architects and decision designers to describe the decision-making they need. When these models are combined with business-friendly representations of decision logic such as decision tables, non-technical domain experts can represent critical “know-how” accurately and precisely resulting in faster time to value and fewer errors. Add in the ability to navigate an existing implementation graphically, and these same users can find out when a change is required and where to make it. The combination of decision requirements models and executable decision models enables business analysts to specify, build, test and validate the decision making they need in their systems.
A fundamental transformation in how customers and companies interact around products and services is underway as the social, mobile and informed customer expects personalized and relevant interactions at every touch point. In this webinar, you will learn the importance of creating and executing the best engagement in day-to-day operational business decisions.
Those of us working with Business Rules Management Systems (BRMS) know their advantages. Business Rules projects consistently deliver costs savings, agility and happy customers. And we also know their challenges - business alignment, automation complexity, re-use. Applying Decision Management and modeling decision requirements speaks the language of business, reduces automation complexity and enables re-use. Learn more in this upcoming webinar.
Retailers see tremendous value in business intelligence and real-time analytics as a way to make sense of the vast amount of data they collect. The challenge is determining where to focus their efforts. To succeed in applying analytics, retailers need to understand how predictive analytics and decision management affect real-world decision-making scenarios.
Effectively capturing and managing requirements is critical in any IT project. Business analysts and others gathering requirements know how to capture and document processes, data and user tasks. But what about the decisions at the heart of your business? How can you effectively identify, document and model the repeatable, operational decisions crucial to success with business rules and predictive analytics? In this webinar we will share practical advice developed from real-world customer projects.
Using a case study approach, learn how Decision Management approaches, tools and technology can help you redesign your business for today's consumer. The webinar introduces a company trying to build capabilities to handle a growing consumer business. The company has challenges in trying to synchronize initiatives across Marketing, Sales, Product Management, Operations, Accounting and Technology. You will learn how Decision Management approaches, tools and technology helped the company develop a common model to sync up the initiatives with company goals on its way towards implementation.
Knowing how to create better, more profitable customer relationships starts with an understanding of the strategic and day-to-day operational decisions your company or organization is making about those customers. If you can better manage these decisions, you can apply them in smarter, more purposeful ways sure to boost the value you reap from each customer. This webinar reveals specific tips that you can use to optimize your customer relationships.
On SAP Community NetworK (recording available soon): Empower Business Experts to Control the Decision Logic Across Enterprise Applications with SAP NetWeaver Decision Service Management
On All Analytics: 5 Ways Decision Management Leads to Greater Customer Value
A New Approach to Business Design at Apple Vacations
How Apple Vacations redesigned the customer experience with Decision Management
In this webinar, Gagan Saxena, CIO at Apple Vacations and James Taylor, CEO of Decision Management Solutions discuss how Apple Vacations applied Decision Management to redesign the consumer experience and create a “smart system” that would bring the new capabilities of business rules management, analytics, big data, predictive modeling, complex event processing and natural language processing into the organization.
Predictive Analytics at the Speed of Business
How decision management and a real-time infrastructure get predictive analytics where and when you need them.
Organizations are looking to maximize the value of their analytics investment. They need to accelerate the deployment process, reduce costs and get the analytic insight where they need it, when they need it. Increasingly organizations must deploy and manage many models, use those models in real-time and integrate predictive analytics into a wide range of operational systems – in the cloud, on-premise, for Hadoop and in-database. In this webinar you will learn how Decision Management and ADAPA – a proven approach and real-time infrastructure – transform passive models into operational success. This webinar is jointly presented by James Taylor, CEO of Decision Management Solutions and Dr. Alex Guazzelli, Vice President of Analytics at Zementis.
Predictive Analytics in Decision Management Systems
Data Mining and Predictive Analytics play a critical role in improving the effectiveness of Decision Management Systems. To ensure that Decision Management Systems are analytic and adaptive you must embed the results of data mining and predictive analytics in them. In this webinar you will learn what can be discovered using data mining and predictive analytic techniques and how this can be applied to the decision-making embedded in Decision Management Systems. The role of analytics in predicting risk, fraud and opportunity and the importance of continuous improvement and learning is also be covered.
Business Rules in Decision Management Systems
Business rules management systems are critical components in the effective development of Decision Management Systems. This webinar will focus on business rules and on Business Rules Management Systems as a platform for Decision Management Systems. You will learn how a Business Rules Management System makes the agility and transparency you need possible and what the key components are for an effective Business Rules Management System. The power of business rules to support both policy and analytic rules and the role of decisions in effective business rules solutions will also be discussed.
Models collecting dust? How to transform your results from interesting to impactful - hosted by Revolution Analytics
Learn how to industrialize your analytic efforts with decision management to get the most out of predictive analytic insights, resources and investments.
An Introduction to Decision Management
Decision Management is a powerful approach for building a new class of information systems. This webinar introduces the key principles of Decision Management Systems and explains their role in a modern information systems architecture. You will learn what it means for Decision Management Systems to be agile, analytic and adaptive. The four principles of Decision Management Systems will be introduced and the power of Decision Management Systems will be shown with case studies.
Four Platform Capabilities For Decision Management Systems
This webinar kicks off the first installment of our report on Decision Management Systems Technology Platforms. This report describes the wide range of technology available for building this exciting class of systems - Business Rules Management Systems, Predictive Analytic Workbenches and Optimization Suites, as well as recent advances around in-database analytics.
How to Build Decision Management Systems
Decision Management Systems are the next generation of information systems. Agile, analytic and adaptive, Decision Management Systems put business rules management systems and predictive analytics to work improving the effectiveness and efficiency of business operations.
Part One - Decision Discovery introduces the first step in successfully building Decision Management Systems, how to discover and model the right decisions.
Part Two - Decision Services describes the core of a Decision Management System, a set of software components that make these decisions accurately, reliably and responsively, leveraging advanced analytics and business rules management systems.
Part Three - Decision Analysis introduces a robust model of decisions to track and improve business performance.
Business Design for the Big-Data Driven, Social and Mobile Consumer: A Decision Management Approach (coming soon on our SlideShare channel)
Redesign your business for the big-data driven, social and mobile consumer. This presentation uses a case study approach. It introduces a company trying to build capabilities to handle a growing consumer business. The company has challenges in trying to synchronize initiatives across Marketing, Sales, Product Management, Operations, Accounting and Technology. The presentation describes how Decision Management approaches, tools and technology helped the Company develop a common model to sync up the initiatives with Company goals on its way towards implementation.
Companies are taking the next step from Business Intelligence to a truly intelligent business by integrating predictive analytics into their operations. Companies need to build on their investments in reporting, visualization and dashboards to move up the analytic maturity curve.Companies that successfully adopt predictive analytics are outperforming their competitors in areas such as underwriting, origination, marketing, customer retention, fraud detection, collections and more.
Combining BPM with Decision Management results in simpler, more agile processes and increases straight through processing and operational effectiveness. Decision Management delivers a shared framework for cross-functional business and IT collaboration creating game-changing culture impacts. In this webinar you will learn how combining Decision Management and BPM delivers simpler, more agile business processes, keeps fast-changing decisions separate from more stable business processes, drives more customer-centric collaboration by putting customer decisions at the focus, makes clear where and how to apply business rules and business rules management systems (BRMS).
Large companies rely on their Enterprise Resource Planning (ERP) and other enterprise applications to manufacture, distribute and manage the products their customers need. The behavior of these operational systems is critical to how a company treats, and is perceived by, its customers, its partners and its suppliers. Yet these systems are often plagued by manual interventions that delay processes, by hard to change constraints and thresholds and by problems with local exceptions to global processes. In this session James Taylor, CEO of Decision Management Solutions, will show how using Decision Management to apply business rules and analytic technology can upgrade your ERP to be smarter and more agile. Illustrated with case studies.
Many organizations' agility and responsiveness is hamstrung by their legacy systems. Replacing them wholesale is impossible but the constraint they impose on the business is unacceptable. In this session James Taylor, CEO of Decision Management Solutions, will show how you can use Decision Management and business rules to avoid replacing the whole application while still maximizing agility and improving business alignment.
One of the most powerful ways to apply advanced analytics is by putting them to work in operational systems. Using analytics to improve the way every transaction, every customer, every website visitor is handled is tremendously effective. The multiplicative effect means that even small analytic improvements add up to real business benefit. In this session James Taylor, CEO of Decision Management Solutions, and Dean Abbott of Abbott Analytics discuss 10 best practices to make sure you can effectively build and deploy analytic models into your operational systems.
More presentations are available on our SlideShare Channel.