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.
DB2 for z/OS Update Data Warehousing On System ZSurekha Parekh
Abstract:
Data Warehouses delivers the floor in most Business analytics solution. Recent analysis reveals that the demand for near-real-time data, as well as integration between day-to-day business applications increases.
IBM will share insight on today’s business environment and its impact on an IT organization’s ability to deliver a competitive Business Analytics and Data Warehousing strategy. You will learn how DB2 for z/OS combined with other InfoSphere data movement offerings from IBM can help enable information on demand – user demands.
How to implement measurements to drive valueOMNINET USA
Slides belonging to a BrighTalk presentation given by David Smith, president of Micromation.
How to Implement Measurements to drive value
Improve the "Business of IT" by using a measurement framework and metrics that matter most.
Metrics are important to management. What's not measured cannot be managed. But what should be measured, why and how?
If you're experiencing any of these symptoms, then this session is for you:
• not sure what to measure
• not sure how to measure
• IT metrics don't seem to support business goals
• too busy fighting fires to become more proactive
• measure too many things already
• business/IT goals not measured
• priorities focus on noise vs. what's important
• customer complaints drive improvements
• efficiency, effectiveness, quality not well understood
• reduced visibility resulting in loss of control
• not sure who needs what level of detail
Learning Objectives:
Metrics validate your IT strategy and vision; provide direction with targets and metrics; justify changes with a means to gauge value-realized; signal when to intervene with corrective actions.
Hear case studies and examples that help you improve alignment, meet compliance and drive service excellence.
Learn the secrets of how measurement frameworks works and take away a roadmap with actionable steps. Let's get IT started.
The second in our 3 part series on How to Build Decision Management Systems. Part 2 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.
Deploying analytics with a rules-based infrastructure, James Taylor, CEO of Decision Management Solutions, presentation at Predictive Analytics World, SF 2011. #pawcon
DB2 for z/OS Update Data Warehousing On System ZSurekha Parekh
Abstract:
Data Warehouses delivers the floor in most Business analytics solution. Recent analysis reveals that the demand for near-real-time data, as well as integration between day-to-day business applications increases.
IBM will share insight on today’s business environment and its impact on an IT organization’s ability to deliver a competitive Business Analytics and Data Warehousing strategy. You will learn how DB2 for z/OS combined with other InfoSphere data movement offerings from IBM can help enable information on demand – user demands.
How to implement measurements to drive valueOMNINET USA
Slides belonging to a BrighTalk presentation given by David Smith, president of Micromation.
How to Implement Measurements to drive value
Improve the "Business of IT" by using a measurement framework and metrics that matter most.
Metrics are important to management. What's not measured cannot be managed. But what should be measured, why and how?
If you're experiencing any of these symptoms, then this session is for you:
• not sure what to measure
• not sure how to measure
• IT metrics don't seem to support business goals
• too busy fighting fires to become more proactive
• measure too many things already
• business/IT goals not measured
• priorities focus on noise vs. what's important
• customer complaints drive improvements
• efficiency, effectiveness, quality not well understood
• reduced visibility resulting in loss of control
• not sure who needs what level of detail
Learning Objectives:
Metrics validate your IT strategy and vision; provide direction with targets and metrics; justify changes with a means to gauge value-realized; signal when to intervene with corrective actions.
Hear case studies and examples that help you improve alignment, meet compliance and drive service excellence.
Learn the secrets of how measurement frameworks works and take away a roadmap with actionable steps. Let's get IT started.
The second in our 3 part series on How to Build Decision Management Systems. Part 2 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.
Deploying analytics with a rules-based infrastructure, James Taylor, CEO of Decision Management Solutions, presentation at Predictive Analytics World, SF 2011. #pawcon
Keynote delivered at the 6th International Workshop on Business Process Intelligence (BPI'10), September 13, 2010, in conjunction with the BPM 2010 conference, Hoboken, NJ
Building For The Next Billion: What The New World Of Business Means For The N...Juniper Networks
In July 2012, Juniper Networks commissioned Forrester Consulting to evaluate what enterprises need from a network that can scale for the business and its future. Forrester Consulting surveyed 150 IT business decision-makers from enterprises in the US and found that firms will require a simplified architecture and an open, programmable network. If enterprises take advantage of this new type of network, they can leverage billions of data points, users, and devices to realize business benefits of larger revenue streams, increased customer loyalty, and lower operating costs.
Keynote delivered at the 1st International Workshop on Process in the Large (IW-PL), September 13, 2010, Hoboken, NJ in conjunction with the BPM 2010 conference.
This presentation was given by James Jameson, Business Unit Executive, Business Process & Decision Management, Growth Markets, at Impact 2012 in Mumbai on the 1st of June.
Making your metadata governance program for unstructured content sustainableAlix Kneifel
This session will present governance problems and strategies, along with a set of tools to help you evaluate your metadata governance program or get it back on track. Presented at DGIQ conference, June 2012.
We describe how we combine sales efficiency tools and technics with BI, CRM, ECM and Cloud technologies as well as workflows and BPM, in order to maxime the sales efficiency and the marketing effectiveness.
Keynote delivered at the 6th International Workshop on Business Process Intelligence (BPI'10), September 13, 2010, in conjunction with the BPM 2010 conference, Hoboken, NJ
Building For The Next Billion: What The New World Of Business Means For The N...Juniper Networks
In July 2012, Juniper Networks commissioned Forrester Consulting to evaluate what enterprises need from a network that can scale for the business and its future. Forrester Consulting surveyed 150 IT business decision-makers from enterprises in the US and found that firms will require a simplified architecture and an open, programmable network. If enterprises take advantage of this new type of network, they can leverage billions of data points, users, and devices to realize business benefits of larger revenue streams, increased customer loyalty, and lower operating costs.
Keynote delivered at the 1st International Workshop on Process in the Large (IW-PL), September 13, 2010, Hoboken, NJ in conjunction with the BPM 2010 conference.
This presentation was given by James Jameson, Business Unit Executive, Business Process & Decision Management, Growth Markets, at Impact 2012 in Mumbai on the 1st of June.
Making your metadata governance program for unstructured content sustainableAlix Kneifel
This session will present governance problems and strategies, along with a set of tools to help you evaluate your metadata governance program or get it back on track. Presented at DGIQ conference, June 2012.
We describe how we combine sales efficiency tools and technics with BI, CRM, ECM and Cloud technologies as well as workflows and BPM, in order to maxime the sales efficiency and the marketing effectiveness.
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.
This webinar focuses 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.
Our mission is: transforming data to reveal business and clinical insights. We accomplish this through our data management, business intelligence and analytics consulting services. We ensure that organizations have the proper tools, technology and processes to improve performance – relative to predefined critical success factors and key performance indicators – based on greater insight and analysis through analytics. We offer a framework for establishing an Analytics Center of Excellence within organizations to define roles and responsibilities and coordinate activities and tasks among key stakeholders. With emphasis on statistical analysis, forecasting, optimization, and simulation, analytics provides results that are predictive and prescriptive, injecting clarity and confidence in decision making and improving performance through situational awareness at all levels of the organization.
Through our past consulting engagements, we observed significant challenges and short-comings in how these organizations navigate such a data-rich environment in the pursuit of analytical excellence. Based on our assessment and evaluation, we develop a roadmap for establishing an information environment that enables stakeholders to improve clinical decision-making and performance (as related to quality, outcomes, cost and utilization) through data visualizations and advanced analytics. This roadmap accounts for both structured and unstructured data, and it includes provisions for controlled data access based on security and privacy policies. We manage the transition from on-premise to cloud-based data sources and leverage the cloud as an aggregation point for creating a Big Data analytics platform. We then perform an alternatives analysis of feasible solutions based on several factors, including: delivered capabilities, ease of implementation, performance, scalability, interoperability and integration with legacy systems, and functionality -- at a cost that maximizes ROI.
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.
Requirements Manager Center of Excellence: “Achieving Goals Without Formaliz...IIBA Rochester NY
Most companies today recognize that the definition and management of requirements for software projects needs improving. Companies may realize that they have been achieving their goals without formalizing a Requirements Management Center of Excellence. A Center of Excellence (CoE) has a lot of responsibilities and serves as the critical hub of managing software requirements.
Mr. Karczewski will present an overview of a Requirements Management Center of Excellence, covering benefits of establishing a CoE, Requirements Engineering phases and metrics, and what can be included in a CoE.
Joel Karczewski, Area Vice President at Paychex, is responsible for Enterprise Business Solutions and has over 25 years of Information Technology development and operational experience. Joel joined Paychex in 2008 and is responsible for groups that manage application design, development and testing, user acceptance testing and software configuration and release processes.
Prior to joining Paychex, Joel was a Principal at Vangard Group responsible for the development and implementation of systems for the Institutional Investment Division.
Joel holds a MBA from LaSalle University and has earned his Project Management Professional (PMP) designation from the Project Management Institute.
While many Digital Transformation initiatives are focused on improving the customer experience, often too little attention is paid to the customer-facing operational decisions that impact customers every day. To get the most from your Digital Transformation efforts, your customers’ experience and the decisions that impact it cannot be ignored.
The speed, volume and complexity of decisions – as well as the impact they have on customer experience – demand automated, real-time decision making. Digital decisioning is an emerging best practice for delivering business impact from AI, machine learning, and analytics. Digital decisioning is an approach that ensures your systems act intelligently on your behalf, making precise, consistent, real-time decisions at every customer touchpoint.
Audio on our YouTube Channel: https://youtu.be/cGxPYnE5PTM
The speed, volume and complexity of decisions – as well as the impact they have on customer experience – demand automated, real-time decision making. Digital decisioning is an emerging best practice for delivering business impact from AI, machine learning, and analytics. Digital decisioning is an approach that ensures your systems act intelligently on your behalf, making precise, consistent, real-time decisions at every customer touchpoint.
Audio on our YouTube Channel: https://youtu.be/cGxPYnE5PTM
Hear insurance industry expert Craig Bedell and Decision Management expert James Taylor discuss the importance of digital decisioning to improving insurance productivity.
See slides with audio here: https://youtu.be/YgCOkc23s8k
Does your Rules Consultant think execution matters more than management? That's “old school” thinking. Find out if your Rules Consultant is providing your business with real value by watching this webinar.
Join Decision Management Solutions, Velocity Business Services and Datarobot as we discuss the importance of operational decisions, industrialized predictive analytics and business learning in creating a predictive enterprise.
A rebroadcast of one of the best reviewed sessions at this year's Predictive Analytics World. Learn the critical success factors in delivering business value with advanced analytics.
A claims handling pilot delivers data-driven claims risk, fraud and wastage decisions directly into your claims process. Using real-world examples, learn how you can maximize straight through “Jet” processing while minimizing risk and fraud using a decision-centric, continuous improvement business architecture. Our proven decisions-first approach delivers the 5 elements of a powerful claims handling platform: decision model, business rules, risk and fraud analytics, impact analysis and continuous improvement.
One of the prime causes of complex business processes is the inclusion of decision-making in process designs. Organizations that identify the decisions in their processes and manage them as peers – not part of the process but supporting it – find they can simplify process designs, increase agility and bring business users and IT into better alignment.
This webinar will build on real case studies to show you how keeping decisioning and process entangled creates complexity, how to find decisions in your complex processes and how Decision Management delivers simpler, more manageable processes.
Successful digital programs extend their Digital Business Platforms with 3 critical elements: decision modeling, predictive analytics and business rules technology. Coordinating these technologies into a virtual decision hub. Decision Management automates and improves every digital interaction and delivers agile, data-driven, real-time outcomes.
Organizations are increasingly investing in data analytics to improve decision-making. Dashboards, self-service BI, data mining, predictive analytics, machine learning and cognitive technologies are being evaluated, deployed and used as organizations push to adopt data-driven decision-making. Effectively using these analytic technologies requires a disciplined focus on better decisions. Some organizations are using decision modeling, and the DMN standard, to achieve analytic excellence.
DMN is a great standard and we’ve both achieve considerable successes with it: its help to improve the transparency, accuracy and agility of many business decisions and helped us to deliver better decisions and decision services to our clients. However, like any released product, DMN 1.1 can benefit from usage suggested refinements.
To succeed, an analytics or data science team must effectively engage with business experts who are often inexperienced with advanced analytics, machine learning and data science. They need a framework for connecting business problems to possible analytics solutions and operationalizing results. Decision modeling brings clarity to analytics projects, linking analytics solutions to business problems to deliver value.
Get deployed! Many Analytics Teams have experience with building what seems like a great model–valid, predictive, powerful–only to see disappointing or even no business impact. Some models are not deployed, or take so long to deploy their accuracy is lost. Even deployed models are often not used effectively.
What can you do? Learn the 5 questions to ask before deploying your model.
A decision modeling approach using DMN is the best practice for for scaling BRMS. Decision modeling address three key challenges of a existing BRMS program, improving traceability, sustaining business engagement and maximizing re-use while minimizing duplication.
Get the business understanding right! Analytics Teams know that one of their biggest challenges is effective communication and collaboration with their business partners. Projects are plagued with too many iterations to get to a solution, too many detours responding to unfocused requests, and too often the final model results in a positive analytic result that can’t demonstrate business value.
What can you do? Analytics and decision modeling expert James Taylor of Decision Management Solutions outlines six questions to ask your business partner before you start modeling and shows you why decision modeling is the best approach to building this shared understanding.
If you are kicking off your first BRMS project, don’t start by gathering the rules! Often teams will be advised to begin their project by gathering all the relevant rules, in a natural language or rulebook approach.
But these rules-first approaches address issues that don’t exist with modern BRMS technology, resulting in redundant and counter-productive efforts.
A decisions-first, decision modeling approach using the Decision Model Notation (DMN) standard is the best practice for business rules projects when implementing a modern BRMS.
In this recording of our live webinar, you will learn why building a decision model that is linked to the business context (metrics, processes, logical data structures) and then implementing this directly in a linked BRMS is faster and cheaper while resulting in more accurate rules, more business engagement and better value realized.
Learn how decision models based on the Decision Model and Notation (DMN) standard can be more easily integrated with business rules being managed and deployed using JBoss BRMS, improving traceability and business ownership.
Decisions First Modeler Enterprise Edition Integration with JBoss BRMSDecisionsFirst Modeler is a collaborative decision modeling solution using the new Decision Model and Notation (DMN) standard. DecisionsFirst Modeler provides a diagram-based, business user friendly front-end to the business rules environment.
DecisionsFirst Modeler enables organizations to accurately specify their business using decision requirements models; structure and manage the supporting business rules; and streamline business process design.
The Enterprise Edition integration with IBM ODM delivers traceability from business objectives through decision requirements to the business rules running in production. This ensures that DecisionsFirst Modeler users have full access to all the rule editing, validation, simulation, deployment and management capabilities of IBM ODM.
DecisionsFirst Modeler is a collaborative decision modeling solution using the new Decision Model and Notation (DMN) standard. DecisionsFirst Modeler provides a diagram-based, business user friendly front-end to the business rules environment.
3. AGENDA
1 2
Why Reinvent
Requirements?
Beginning with
Decisions
3
Putting Decisions
in Context
4 5 6
Detailed Questions and A Final Thought
Decision Answers
Requirements
24. Good Decision Requirements
Information Know-how
• What is needed? • How to make it
• Where does it come • How to improve it
from?
Precision Automation
• Exactly how? • All automated?
• How to avoid • If not, how much can
technical details? be and for whom?
27. Discovering Decisions From Process
• A business process model can be an effective
source for identifying high-level decisions
• Prioritize decisions to know where to start
29. Simple Supporting Decision
• Larger node is the subject
of the diagram
• Context established by
drilling down from high-
level decision
• Only the dependencies of
the subject decision are
shown
• All of the business logic is
defined in the supporting
decisions
30. A More Involved Example
• Multiple layers of
decision
dependencies
• Abstraction of full
story
• 3 different patterns
of how to handle
different states
• 1 state breaks all
patterns and has
separate diagram
32. A Tricky Decision Decomposition
• A seemingly simple decision was complicated
by lots of exceptions to the basic business
rules
• Discovering the proper decomposition was key
to defining a satisfactory solution
33. Initial Attempts
• Business rule requirements
initially gathered as an
unorganized list
• A manageable number of
business rules, but with lots
of seemingly complicated
exceptions
• 3 initial attempts to
synthesize a decision
structure from the bottom
up failed to support the
business rule requirements
34. Successful Decision Decomposition
• Partial solution by
eliminating
exceptions
• Switched analysis
from negative rules to
positive rules
• Complete solution
found after refocusing
on a top down
approach
35. Rule Family Template
• Business rules are defined in rule families
• Multiple conditions, one conclusion
• A message explaining each negative rule
36. Sample Business Rules
• Simplified version with exceptions removed
• Key elements are
– Negative rules contain business rule statements
– Positive rules complete full coverage