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.
What you will learn:
How decision components are often the highest change, most difficult to maintain pieces of legacy applications
How Decision Management builds on SOA by externalizing decisions from legacy systems
How a business rules management system dramatically decreases maintenance costs
Why modernizing this way improves business alignment and agility
Webinar recording available at:
https://decisionmanagement.omnovia.com/archives/71756
Mainframe Assessment with Modern Systems' Portfolio Analysis ServicesModern Systems
Legacy systems have passed through many hands over many years, often without proper documentation of features or functional relationships. The most common issue with modernizing a system that very few people understand is that planning for and understanding the breadth and potential pitfalls of a project is virtually impossible without a lot of help. Undergoing a mainframe assessment using Modern Systems' Portfolio Analysis services can significantly reduce risk, cost, and project timelines.
A 2013 survey of IT leaders in the US insurance industry by Gartner reflects just how difficult planning modernizations can be.
- Only 42% of respondents said their modernization projects were completed within originally planned budget.
- Just 34% of the modernization attempts covered the originally planned scope, leaving a whopping 66% of these firms victims of dreaded and out of control scope creep.
- What’s worse, only 18% of respondents completed these projects within their originally planned timeframe.
In other words, modernization is a brutal undertaking. In order to develop well-designed applications from legacy environments, powerful tools and expertise are required to analyze the legacy system and aid in generating new programs that are architecturally sound and utilize modern design methods.
The data and reports gathered in a Modern Systems Portfolio Analysis mainframe assessment reduce risk by ensuring all technical inventory and use cases are documented and accounted for. It also reveals potential bumps in the road to modernization before they have a chance to derail a project, so mitigation plans can be established up front.
This mainframe assessment work is automated and precise, saving months of time, thousands of dollars in man hours- and ensures no critical requirements or functionality are left out of the target state design. This data also impacts regression testing, making it more accurate and efficient- reducing time to target.
In addition to the risk, cost, and time reduction, customers who undergo a Modern Systems mainframe assessment are able to reduce the scope of their modernization project by an average of 40%.
Here’s how it works:
First, Modern Systems documents the legacy environment's current state and any important dependencies or conditions such as external interfaces, data volumes, batch dependencies, etc.
From there, Modern Systems resources develop the Final Application Inventory package, containing analysis on unused code, Resource Definition and Usage, easy-to-understand visual diagrams laying out the legacy environment, highlighted areas of concentration, and much more.
Finally, the Modern Systems team holds a strategic workshop with your project stakeholders to discuss our findings, provide Optimum Solution Recommendations for areas of concentration, and to map out an informed modernization strategy and roadmap, backed by a soup-to-nuts mainframe assessment and over 3 decades of expe
In this webinar recording, James Taylor, CEO of Decision Management Solutions and Claye Greene, Managing Director of Government Solutions Provider TechBlue share learnings and best practices from their 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.
A discussion of the value of Decision Management and decision modeling to the effective management of large, complex operations - including that of a large, global, financial services organization. Presented by James Taylor of Decision Management Solutions at the Building Business Capability Conference (BBCCon) 2015
Business analysts know that modeling business processes, rather than writing about them, defines them more accurately. Business process models make it easier to validate requirements, easier to see opportunities for improvement and easier to manage the process once it is implemented. Replacing traditional specifications with logical business process models based on standard notations like BPMN improves requirements and increases the likelihood of project success.
Yet over-complex processes are common. Complex process models make it harder to engage business owners and reduce the manageability of implementations. One of the prime causes of over-complex processes is the inclusion of decision-making in process designs. Business analysts that identify the decisions in their processes and model them separately – 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. With the publication of a new standard notation - OMG's Decision Model and Notation - and the inclusion of decision modeling in the BABOK, it's time for business analysts to improve their process models by modeling decisions.
Key learning points:
Decisions are central to straight through processing, process innovation and process effectiveness.
Process models obscure decision-making and become over-complex when it is embedded
A standards-based approach to decision modeling is a key technique for process analysts
A DMN-based full-fledged implementation of the “UServ Product Derby” decision model showing a DMN Decision Requirements Model and a set of DMN-based Decision Tables that implement it. The derby, recently renamed The Decision Management Challenge, deals with vehicle insurance problems including eligibility and premium calculation policies for a hypothetical insurance company.
Presented by James Taylor of Decision Management Solutions and Dr. Jacob Feldman of OpenRules at the Building Business Capability Conference (BBCCon) 2015.
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.
Mainframe Assessment with Modern Systems' Portfolio Analysis ServicesModern Systems
Legacy systems have passed through many hands over many years, often without proper documentation of features or functional relationships. The most common issue with modernizing a system that very few people understand is that planning for and understanding the breadth and potential pitfalls of a project is virtually impossible without a lot of help. Undergoing a mainframe assessment using Modern Systems' Portfolio Analysis services can significantly reduce risk, cost, and project timelines.
A 2013 survey of IT leaders in the US insurance industry by Gartner reflects just how difficult planning modernizations can be.
- Only 42% of respondents said their modernization projects were completed within originally planned budget.
- Just 34% of the modernization attempts covered the originally planned scope, leaving a whopping 66% of these firms victims of dreaded and out of control scope creep.
- What’s worse, only 18% of respondents completed these projects within their originally planned timeframe.
In other words, modernization is a brutal undertaking. In order to develop well-designed applications from legacy environments, powerful tools and expertise are required to analyze the legacy system and aid in generating new programs that are architecturally sound and utilize modern design methods.
The data and reports gathered in a Modern Systems Portfolio Analysis mainframe assessment reduce risk by ensuring all technical inventory and use cases are documented and accounted for. It also reveals potential bumps in the road to modernization before they have a chance to derail a project, so mitigation plans can be established up front.
This mainframe assessment work is automated and precise, saving months of time, thousands of dollars in man hours- and ensures no critical requirements or functionality are left out of the target state design. This data also impacts regression testing, making it more accurate and efficient- reducing time to target.
In addition to the risk, cost, and time reduction, customers who undergo a Modern Systems mainframe assessment are able to reduce the scope of their modernization project by an average of 40%.
Here’s how it works:
First, Modern Systems documents the legacy environment's current state and any important dependencies or conditions such as external interfaces, data volumes, batch dependencies, etc.
From there, Modern Systems resources develop the Final Application Inventory package, containing analysis on unused code, Resource Definition and Usage, easy-to-understand visual diagrams laying out the legacy environment, highlighted areas of concentration, and much more.
Finally, the Modern Systems team holds a strategic workshop with your project stakeholders to discuss our findings, provide Optimum Solution Recommendations for areas of concentration, and to map out an informed modernization strategy and roadmap, backed by a soup-to-nuts mainframe assessment and over 3 decades of expe
In this webinar recording, James Taylor, CEO of Decision Management Solutions and Claye Greene, Managing Director of Government Solutions Provider TechBlue share learnings and best practices from their 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.
A discussion of the value of Decision Management and decision modeling to the effective management of large, complex operations - including that of a large, global, financial services organization. Presented by James Taylor of Decision Management Solutions at the Building Business Capability Conference (BBCCon) 2015
Business analysts know that modeling business processes, rather than writing about them, defines them more accurately. Business process models make it easier to validate requirements, easier to see opportunities for improvement and easier to manage the process once it is implemented. Replacing traditional specifications with logical business process models based on standard notations like BPMN improves requirements and increases the likelihood of project success.
Yet over-complex processes are common. Complex process models make it harder to engage business owners and reduce the manageability of implementations. One of the prime causes of over-complex processes is the inclusion of decision-making in process designs. Business analysts that identify the decisions in their processes and model them separately – 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. With the publication of a new standard notation - OMG's Decision Model and Notation - and the inclusion of decision modeling in the BABOK, it's time for business analysts to improve their process models by modeling decisions.
Key learning points:
Decisions are central to straight through processing, process innovation and process effectiveness.
Process models obscure decision-making and become over-complex when it is embedded
A standards-based approach to decision modeling is a key technique for process analysts
A DMN-based full-fledged implementation of the “UServ Product Derby” decision model showing a DMN Decision Requirements Model and a set of DMN-based Decision Tables that implement it. The derby, recently renamed The Decision Management Challenge, deals with vehicle insurance problems including eligibility and premium calculation policies for a hypothetical insurance company.
Presented by James Taylor of Decision Management Solutions and Dr. Jacob Feldman of OpenRules at the Building Business Capability Conference (BBCCon) 2015.
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.
The new Decision Model and Notation (DMN) standard has been used to gather requirements for and to design Enterprise IT Management dashboards at two Fortune 200 Financial Corporations. These dashboards are used to manage 100+ projects being released every 2 weeks into production across hundreds of critical applications ranging from mainframe, client-server, web and mobile applications.
Presentation from BBC2014
Establishing a shared understanding of the business problem across business, IT and analytics teams is critical for successful predictive analytics projects. Recently decision modeling has begun to be adopted as a way to specify business requirements for predictive analytics projects. This session will introduce decision modeling and describe how it helps predictive analytics practitioners. The value of the technique will be illustrated with both experience working with real-world projects and of using the approach to teach students of analytics.
Deploying analytics with a rules-based infrastructure, James Taylor, CEO of Decision Management Solutions, presentation at Predictive Analytics World, SF 2011. #pawcon
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). Webinar recording is available at : https://decisionmanagement.omnovia.com/archives/79352
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.
Learn how to industrialize your analytic efforts with decision management to get the most out of predictive analytic insights, resources and investments.
Models Collecting Dust? How to Transform Your Results from Interesting to Imp...Revolution Analytics
Data scientists sometimes lament, "Why can't I get anyone to use my predictions?" Great models that make accurate predictions are sometimes disconnected from organizational decision-making. This hurts the business and reduces the data scientists’ perceived value the within the organization. But it doesn't have to be this way. Leading expert James Taylor, author of Decision Management Systems: A Practical Guide to Business Rules and Predictive Analytics, has developed a practical approach you can use to improve adoption and elevate your organization.
Performance Engineering: Strategies, Analysis and Management meet your busine...The Digital Group
Performance Engineering helps to manage system performance, meet your customer expectations, improve user satisfaction, reduce costs and succeed so that you can focus on your business.
Your Challenge
Service desk managers with immature service desk processes struggle with:
Low business satisfaction.
High cost to resolve incidents and implement requests.
Confused and unhappy end users.
High ticket volumes and a lack of root-cause analysis to reduce recurring issues.
Wasted IT time and wages resolving the same issues time and again.
Ineffective demand planning.
Our Advice
Critical Insight
Don’t be fooled by a tool that’s new. A new service desk tool alone won’t solve the problem. Service desk maturity improvements depend on putting in place the right people and processes to support the technology.
Service desk improvement is an exercise in organizational change. Engage specialists across the IT organization in building the solution, and emphasize how everyone stands to benefit from the initiative.
Organizations are sometimes tempted to track their work under a single ticket type. Unfortunately, the practice obscures the fact that incidents, requests, and projects require radically different amounts of time and resources, and can create the impression that IT is underperforming. Distinguish between incidents, requests, and projects, and design specific processes to support and track the performance of each activity.
Remember, the value of any IT service management (ITSM) tool is a function of the processes it supports and the adoption of those processes. The ITSM tool with the best functionality is worth little if you do not build the right processes, configure the tool to support them, and work to improve tool adoption in your organization.
Impact and Result
Increase business satisfaction.
Reduce recurring issues and ticket volumes.
Reduce average incident resolution time and average request implementation time.
Increase efficiency and lower operating costs.
Enhance demand planning.
The Fundamentals Of BPM Innovation In TelecommunicationsNathaniel Palmer
Review the fundamentals of embracing BPM in the telecommunications industry. This session will identify goals, obstacles, strategies, and the rewards of embracing BPM. Examples from KT Freetel Co. Ltd., Korea’s
second largest mobile communications company are highlighted throughout the presentation.
Ensuring your data, processes and rules will meet the business vision for today and tomorrow. This was a presentation to several Blue Cross Blue Shield IT leaders.
In today’s global marketplace, successful companies must be able to integrate and quickly view quality audit information from their manufacturing sites all over the world. This strategic capability has become even more important as manufacturers have moved offshore and have become more complex. The value and immediacy of quality assurance data is a critical element to the survival of competitive manufacturing organizations. Software systems can address these issues.
Source:
Lyons Information Systems, Inc
http://www.lyonsinfo.com
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.
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.
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.
The new Decision Model and Notation (DMN) standard has been used to gather requirements for and to design Enterprise IT Management dashboards at two Fortune 200 Financial Corporations. These dashboards are used to manage 100+ projects being released every 2 weeks into production across hundreds of critical applications ranging from mainframe, client-server, web and mobile applications.
Presentation from BBC2014
Establishing a shared understanding of the business problem across business, IT and analytics teams is critical for successful predictive analytics projects. Recently decision modeling has begun to be adopted as a way to specify business requirements for predictive analytics projects. This session will introduce decision modeling and describe how it helps predictive analytics practitioners. The value of the technique will be illustrated with both experience working with real-world projects and of using the approach to teach students of analytics.
Deploying analytics with a rules-based infrastructure, James Taylor, CEO of Decision Management Solutions, presentation at Predictive Analytics World, SF 2011. #pawcon
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). Webinar recording is available at : https://decisionmanagement.omnovia.com/archives/79352
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.
Learn how to industrialize your analytic efforts with decision management to get the most out of predictive analytic insights, resources and investments.
Models Collecting Dust? How to Transform Your Results from Interesting to Imp...Revolution Analytics
Data scientists sometimes lament, "Why can't I get anyone to use my predictions?" Great models that make accurate predictions are sometimes disconnected from organizational decision-making. This hurts the business and reduces the data scientists’ perceived value the within the organization. But it doesn't have to be this way. Leading expert James Taylor, author of Decision Management Systems: A Practical Guide to Business Rules and Predictive Analytics, has developed a practical approach you can use to improve adoption and elevate your organization.
Performance Engineering: Strategies, Analysis and Management meet your busine...The Digital Group
Performance Engineering helps to manage system performance, meet your customer expectations, improve user satisfaction, reduce costs and succeed so that you can focus on your business.
Your Challenge
Service desk managers with immature service desk processes struggle with:
Low business satisfaction.
High cost to resolve incidents and implement requests.
Confused and unhappy end users.
High ticket volumes and a lack of root-cause analysis to reduce recurring issues.
Wasted IT time and wages resolving the same issues time and again.
Ineffective demand planning.
Our Advice
Critical Insight
Don’t be fooled by a tool that’s new. A new service desk tool alone won’t solve the problem. Service desk maturity improvements depend on putting in place the right people and processes to support the technology.
Service desk improvement is an exercise in organizational change. Engage specialists across the IT organization in building the solution, and emphasize how everyone stands to benefit from the initiative.
Organizations are sometimes tempted to track their work under a single ticket type. Unfortunately, the practice obscures the fact that incidents, requests, and projects require radically different amounts of time and resources, and can create the impression that IT is underperforming. Distinguish between incidents, requests, and projects, and design specific processes to support and track the performance of each activity.
Remember, the value of any IT service management (ITSM) tool is a function of the processes it supports and the adoption of those processes. The ITSM tool with the best functionality is worth little if you do not build the right processes, configure the tool to support them, and work to improve tool adoption in your organization.
Impact and Result
Increase business satisfaction.
Reduce recurring issues and ticket volumes.
Reduce average incident resolution time and average request implementation time.
Increase efficiency and lower operating costs.
Enhance demand planning.
The Fundamentals Of BPM Innovation In TelecommunicationsNathaniel Palmer
Review the fundamentals of embracing BPM in the telecommunications industry. This session will identify goals, obstacles, strategies, and the rewards of embracing BPM. Examples from KT Freetel Co. Ltd., Korea’s
second largest mobile communications company are highlighted throughout the presentation.
Ensuring your data, processes and rules will meet the business vision for today and tomorrow. This was a presentation to several Blue Cross Blue Shield IT leaders.
In today’s global marketplace, successful companies must be able to integrate and quickly view quality audit information from their manufacturing sites all over the world. This strategic capability has become even more important as manufacturers have moved offshore and have become more complex. The value and immediacy of quality assurance data is a critical element to the survival of competitive manufacturing organizations. Software systems can address these issues.
Source:
Lyons Information Systems, Inc
http://www.lyonsinfo.com
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.
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.
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.
Predictive analytic models are not new within many analytical organizations. However, the use of predictive analytics is growing rapidly. Data-driven decision-making initiatives are compelling more and more enterprises to move their analytics efforts beyond the basics. Enterprises must go from measurement and reporting to predictions and decision management. With ever-increasing amounts of historical data ready for mining, the right predictive analytic models can help an enterprise understand future behavior – adherence to medical prescriptions, increased or decreased spending, loan repayment, and more. By driving better decision-making, such insights can be transformative. Join us as we look into best-practices for building a predictive enterprise, technology tips for using and implementing predictive analytics tools, and guidelines for building predictive models.
A presentation on Customer Decision Management and how it results in more accurate, more real-time, more consistent, more agile and more scalable customer decisions. Presented at Teradata Partners 2013
In an era of Big Data organizations are looking to use analytic insight to improve
their business. Rapidly changing competitive landscapes and the need to evaluate and
adopt new business models is pushing organizations to become more adaptive. How
can these imperatives be reflected in the way we build systems? 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.
Decision management and business rules management systems are the ideal platform for an agile and cost-effective compliance approach. In regulated industries like financial services, leading companies are building compliance into every process and system with consistency and transparency across the entire organization and with the agility to meet ever more challenging deadlines. Companies that fail to do so incur huge costs with manual checks and balances and risk significant fines.
In this webinar James Taylor, CEO of Decision Management Solutions and Jan Purchase, Director and Founder of Investment Banking Specialists Lux Magi, share know-how and best practices from their extensive experience of helping clients implement decision management and business rules management systems to conquer complexity, improve agility, lower costs and measure ongoing effectiveness in financial compliance.
The webinar includes illustrations of how the decision management approach has been applied in compliance projects and a walkthrough of real decision model from one of these.
How to Build Decision Management Systems, Part Three - Decision Analysis introduces a robust model of decisions to track and improve business performance. The webinar recording is available on demand on our website.
James Taylor, CEO of Decision Management Solutions, 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.
Decision CAMP 2014 - James Taylor - Decision Management 101Decision CAMP
Decision Management is both an approach and a technology stack.
In this opening day workshop, Decision Management consultant and author James Taylor will introduce both.
We'll begin with the discovery and modeling of suitable decisions, move into the construction of decision services and wrap up with the importance of decision analysis for continuous improvement. The critical technology capabilities - managing decision logic, embedding analytics, monitoring decision performance, and optimizing results - will all be introduced and presented in a coherent architecture for building Decision Management Systems.
Different adoption paths and some best practices will conclude the session, putting you on a path to Decision Management success.
Synergy has been helping many clients implement BPM from last six years, whether it be a core process or support processes. Synergy carries over 200,000 manhours of BPM implementation. Synergy has been supporting clients in the entire BPM life cycle right from identifying right BPM software or tools, developing process models, Analysis of As-Is processes, Designing the new processes, Business Process Monitoring and implementing new BPM applications. In effect, Synergy has witnessed clients benefiting from drastic process improvements.
Your Challenge
Infrastructure managers and change managers need to re-evaluate their change management process due to slow change turnaround time, too many unauthorized changes, too many incidents and outages because of poorly managed changes, or difficulty evaluating and prioritizing changes.
IT system owners often resist change management because they see it as slow and bureaucratic.
Infrastructure changes are often seen as “different” from application changes, and two (or more) processes may exist.
Our Advice
Critical Insight
ITIL provides a usable framework for change management, but full process rigor is not appropriate for every change request.
You need to design a process that is flexible enough to meet the demand for change, and strict enough to protect the live environment from change-related incidents.
A mature change management process will minimize review and approval activity. Counterintuitively, with experience in implementing changes, risk levels decline to a point where most changes are “preapproved.”
Impact and Result
Create a unified change management process that reduces risk and takes a balanced approach toward deploying changes, while also maintaining throughput of innovation and enhancements.
Categorize changes based on an industry-standard risk model with objective measures of impact and likelihood.
Establish and empower a change manager and change advisory board with the authority to manage, approve, and prioritize changes.
Establish easy-to-follow intake, assessment, and approval processes, and ensure that there is visibility into changes across the organization.
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.
Decision Modeling is a new Technique in v3 of the BABOK(r) Guide. It has also become a key element of the Business Intelligence and Business Process Management Perspectives. At the June 2014 IIBA Bay Area Event, James Taylor presents Decision Modeling as a technique (following the new Decision Model and Notation standard), shows how modeling decisions improves business analysis and requirements specification, and discusses the role of decision modeling in business process, business rules, business intelligence and analytic projects.
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.
Learn how to innovate risk management and customer processes with decision and process management, from leading experts Roger Burlton and James Taylor.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
3. AGENDA
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The challenge of
legacy systems
The role of
decisions in
legacy
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Modernizing with
Decision
Management
challenges
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The power of Improving Wrap and next
business rules alignment and steps
management agility
systems