Framing Analytic Requirements with Decision Modeling

Thursday, April 2, 2015
9:00 am PDT
Free Registration Here

One of the most important steps in a predictive analytic effort is correctly framing the problem a way that creates a shared understanding of the business problem across business, IT and analytics teams. Established analytic approaches such as CRISP-DM stress the importance of understanding the project objectives and requirements from a business perspective, but most organizations do not apply a formal approach to capture this understanding in a repeatable, understandable format. Decision modeling closed this gap.

In this webinar you will learn how to use Decision Requirements Modeling for analytic project requirements in order to:

  • Compare multiple projects for prioritization, including allowing new analytic development to be compared with updating or refining existing analytics.
  • Act on a specific plan to guide analytic development that is accessible to business, IT and analytic teams alike.
  • Reuse knowledge from project to project by creating an increasingly detailed and accurate view of decision-making and the role of analytics.
  • Value information sources and analytics in terms of business impact.

With the growing focus on using analytics to improve decision-making, it makes sense to drive analytic requirements in a decision-led way. A decision requirements model makes it clear how analytics can/should influence decision-making, where that decision-making fits in terms of business processes and systems, and which organizations will have to play a role in approving or using any analytic being developed. Constraints on decision-making like policies and regulations as well as the information available are likewise part of the model.

Recording Available to all Registrants
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How Business Analysts Can Power the New Analytics Landscape

June 10, 2015
09:00 PDT and 19:00 PDT
Register Here

Companies are taking the next step from Business Intelligence to a truly intelligent business by integrating business analytics into their operations. Today's BI capabilities like reporting and ad-hoc query are rapidly expanding to a landscape of analytic capabilities that include visualization, data discovery and advanced analytics.

Business analysts are in a powerful position to help drive the successful adoption of these new capabilities. BA's can leverage their understanding of the business and how business analytics can drive business transformation and adopt new decision requirements methods and standards designed to support integration of business analytics in processes and systems.

Key learning points:

  • Overview of the analytics capabilities landscape from BI to business analytics.
  • Understanding of what situations need what capabilities.
  • How business analysts can help drive adoption of business analytics by leveraging their knowledge of the business to communicate the value of business analytics in business terms

This free webinar is the first educational webinar offered in conjunction with the newly formed IIBA Business Analytics SIG - it is open to all. Introductory Level.
Register here.

On Demand Webinars

DecisionsFirst Modeler Tutorial Walkthrough - The tutorial covers every step in creating a first decision requirements model – from decisions to objectives, application context to decision requirements diagrams. The tutorial will also show you how to use the home page and search engine, change your account settings and more.

Decision Modeling for Decision Led Analytics - Learn how to get started quickly with decision modeling for success with selecting and adopting analytic capabilities for your organization. Organizations today are turning to analytic capabilities to drive decision-making. But with the different types of decisions that need to be made, multiplied by the different types of BI and analytic capabilities available, it can be difficult for organizations to choose the right capabilities for the situations at hand. Decision modeling with DMN is a proven technique that provides the needed framework for selecting and implementing analytic capabilities.

BPMN 3d cover small4 Key Benefits of Integrating BPMN and DMN:  The landscape of process modeling has evolved as have the best practices. The smartest companies are using decision modeling in combination with process modeling. The principle reason is that decisions and processes are discovered and managed in separate, yet, interrelated ways. Decision Model and Notation (DMN) is an evolution of Business Process Model and Notation (BPMN) 2.0 into an even more powerful and capable tool set. 

analytic landscapeAnalytics Maturity Curve or Landscape? Your Questions Answered - Our new research study looked at the increasingly broad portfolio of analytic capabilities available to enterprises today, from traditional Business Intelligence (BI) capabilities like reporting and ad-hoc query to visualization, data discovery and advanced analytics. Enterprises adopt these technologies in different sequences and ultimately need a mix of these capabilities. Most, if not all, enterprises have a real business need for all of them. The real question is what situations need which capabilities, who is the target user for these capabilities, and how can this portfolio of capabilities be managed most effectively. 

Engaging Business Users with Drools - Drools is a technically strong, high performance Business Rules Management System (BRMS). Drools has editors that can be configured so business analysts and business users can maintain and update business rules but many organizations trying to engage their business users in this way find that there are challenges in requirements gathering, implementation and navigation. In this webinar you will learn why decision modeling as part of the requirements phase or iteratively during agile projects addresses these challenges, making it easier for business users to fully participate in Drools implementations and maintenance. The webinar clip of the demostration of DecisionsFirst Modeler and JBoss Drools is posted to YouTube.

Getting Started with Decision Discovery - The path to a better bottom line is paved by large numbers of operational decisions made by people, by processes and by software applications. Systematically improving each operational decision - at scale - is at the core of Decision Management. Business Architects and Analysts identify, describe and model operational decisions in Decision Discovery. In this webinar, James Taylor, CEO of Decision Management Solutions, and Dr. Juergen Pitschke, Founder and Managing Director at BCS, will show you how to get started with Decision Management on your next application development or business process improvement project with Decision Discovery.

6 Opportunities for Business Improvement with Decision Management - What opportunities are you looking for to improve your business performance? In this webinar you will learn six opportunities that are readily available when you adopt a decision management approach to business rules and predictive analytics.

3 Reasons Why Decision Modeling with DMN Makes for Better Business Analysis Building a decision model using the new Decision Model and Notation (DMN) makes for better business analysis and improved system requirements. This webinar recording covers the three main reasons for defining decision requirements as part of an overall requirements process. You will also earn why you should model decision requirements, how to use DMN and how to get started quickly with decision modeling. You can also view the webinar presentation on slideshare.

An Introduction to Decision Management - Join James Taylor, CEO of Decision Management Solutions, and Dr. Juergen Pitschke, Founder and Managing Director at BCS Enterprise Modeling as they answer your most asked questions about Decision Management. 1) What is Decision Management? What is in scope? What is out of scope? 2) How can we describe Decisions? What is in the Decision Model and Notation standard? How are Decision Models related to other artifacts? 3) What does a method for Decision Modeling look like? 4) How do Decision Models impact process models?  5) How do Decision Models integrate into Enterprise Architecture? and 6) How do I get started? You can also watch the webinar clips on youtube.

TargetedBest Practices in Targeted Legacy Modernization in Government. This webinar details know how and best practices from extensive experience helping clients modernize their legacy systems with the targeted decision management approach. You will learn why you don’t need to modernize the whole application, why focusing on business rules is not enough; decision management is the essential ingredient, and how to use decision modeling to identify and scope targeted legacy modernization efforts. With Claye Greene of TechBlue. You can also read our brief on legacy modernization here.

Agile and Cost Effective Financial Compliance: Going Beyond Business Rules with Decision Management - Learn how to conquer complexity, improve agility, lower costs and measure ongoing effectiveness in financial compliance. Learn why a business rules driven approach is an advantage, but it's not enough in isolation; decision management is the essential ingredient. The webinar ncludes illustrations of how the decision management approach has been applied in compliance projects and a walkthrough of a real decision model from one of these. With Jan Purchase, Lux Magi.

The Decision Management Manifesto Explained - The Decision Management Manifesto lays out key principles of Decision Management - why decisions are central to your requirements process, why it makes sense to explicitly design decisions before applying technology. Using real world projects this webinar explains the rationale for each part of the manifesto and shows the value it can bring to your projects now and in the future. 

predictive-survey-cloudPredictive Analytics in the Cloud: Opportunities, Trends and the Impact of Big Data - This webinar summarizes the resutls from new research. The webinar examines the opportunities for organizations to adopt cloud-based predictive analytic solutions, the drivers for adoption, the challenges and obstacles and the impact of big data on deployment choices and results. This independent research was sponsored by FICO, Lityx and SAP.

blueriq_logoDecision-Centric, Intelligent Processes - Webinar, white paper and blog series. Decision-centric, intelligent processes are dynamic, flexible, transparent and adaptive. They deliver consumer-centric services that can respond to rapidly changing business conditions and complex regulatory environments while simplifying IT and leveraging scarce resources. Decisions, and the business rules to automate those decisions, play a critical role in delivering these processes. In this webinar you will be introduced to intelligent processes and their value, understand the role of decisions in these processes and learn about the Blueriq rules-driven business process management solution. You can also watch the demo portion on the webinar on youtube.

Decision_Centric4 Ways Decision Modeling Creates a Data-Driven Culture. Decision modeling plays a key role as organizations transition to a data-driven culture. Decision modeling plays a key role as organizations transition to a data-driven culture. A recent Harvard Business Review survey revealed that data-driven decision-making is taking root in leading organizations and showing a positive return. As organizations seek to build a data-driven culture, decision modeling can play a critical role. In this 30’ webinar James introduces decision modeling and shows how the use of decision modeling.


Designing Smart Portals with Decision Management - How to design intuitive, relevant and personalized Portals using the power of Big Data, Analytics & Business Rules. Traditional Portals are geared towards presenting the best Information for users to make good decisions. Smart Portals are automating knowledge requirements as well as using the new class of Decision Management systems based on Business Rules Management Systems (BRMS), Data-Mining, Predictive Analytics and Optimization Suites.


Managing and Evolving Decisions with DecisionsFirst Modeler and SAP Netweaver Decision Service Management
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 business rules representations and 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 business rules or executable decision models is a powerful capability. You can also watch the demo part of the webinar on youtube.


Creating and Managing Executable Decision Models with DecisionsFirst Modeler and OpenRules®
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 business rules representations and 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 business rules or executable decision models is a powerful capability. You can also watch the demo part of the webinar on youtube. 

3 Ways Decision Management Improves Business Rules Implementations
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.

Engagement, Loyalty, Costs & Growth - Driving Retail Success with Predictive Analytics and Decision Management
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.

Re-inventing Business Requirements with Decision Management

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.

Business Design for the Big-Data Driven, Social and Mobile Consumer

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.

5 Benefits of Customer Decision Management

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.

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.

See our OmNovia channel for all our recorded webinars and our SlideShare channel for presentations.

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Upcoming Events

DecisionsFirst Modeler Tutorial Walkthrough
Webcast Now Available

Live Event: Case Study: University of Maryland, Decision Modeling for Predictive Analytic Projects
March 31, 2105, Predictive Analytics World, San Francisco, CA

Webinar: Framing Analytic Requirements with Decision Modeling
April 2, 2015

Live Event: A New Approach to BI Requirements - Breakout Session, Track Analyze & Interpret
April 20-22, 2015, PASS Business Analytics Conference, Santa Clara, CA

Webinar: How Business Analysts Can Power the New Analytics Landscape
June 10, 2015

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