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.
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 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
Presentation given at the IIR Business Process Management Conference, San Diego, CA, November 13th, 2007. It focuses on the difference between rules and processes, the integration points of BPMS and BRMS, and ways to get started.
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.
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.
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 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
Presentation given at the IIR Business Process Management Conference, San Diego, CA, November 13th, 2007. It focuses on the difference between rules and processes, the integration points of BPMS and BRMS, and ways to get started.
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.
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
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.
Compares the project management lifecycle with the IT service management lifecycle and the interactions between the two
Identifies considerations for project managers to successfully lead IT development or infrastructure projects
A short & plain english definition of Business Rules, which are a key element in systems definition. In theory, you can express a system entirely through the constructs of Business Rules. However, in practice, there is a law of diminishing returns in this effort, which the practitioner begins to sense through experience. The need to identify business rules as early as possible in the discovery phase is increasingly driven by the possibility to feed these rules together with process maps and thereby automatically generate executable code
Aviation Week Adv Mfg Metrics that Matter webcastJulie Fraser
Iyno's Julie Fraser participated in an Aviation Week Webcast sponsored by Deltek focused on linking business, engineering, and manufacturing. Fraser presents MESA International Pursuit of Performance Excellence data in the context of discrete project-based manufacturing.
Presentation given at the BPM Executive Day, Bogota, Colombia, December 4, 2012. The presentation outlines the different dimensions of BPM activities an organization should consider when organizing their BPM efforts.
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.
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
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.
Compares the project management lifecycle with the IT service management lifecycle and the interactions between the two
Identifies considerations for project managers to successfully lead IT development or infrastructure projects
A short & plain english definition of Business Rules, which are a key element in systems definition. In theory, you can express a system entirely through the constructs of Business Rules. However, in practice, there is a law of diminishing returns in this effort, which the practitioner begins to sense through experience. The need to identify business rules as early as possible in the discovery phase is increasingly driven by the possibility to feed these rules together with process maps and thereby automatically generate executable code
Aviation Week Adv Mfg Metrics that Matter webcastJulie Fraser
Iyno's Julie Fraser participated in an Aviation Week Webcast sponsored by Deltek focused on linking business, engineering, and manufacturing. Fraser presents MESA International Pursuit of Performance Excellence data in the context of discrete project-based manufacturing.
Presentation given at the BPM Executive Day, Bogota, Colombia, December 4, 2012. The presentation outlines the different dimensions of BPM activities an organization should consider when organizing their BPM efforts.
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.
LinkedInn University: Students building their professional identitiesAndrew Middleton
The Connected U project - how LinkedIn provides a presentation layer to promote student and staff employability and helps us to re-imagine PPDP and Professional Recognition
Sample Report on Business decision makingAmelia Jones
Global Assignment Help provides Sample on Managing financial resources and decisons in this describe that decision making in a business is one of the most significant aspect of the overall functioning. However, it is the responsibility of senior managers to ensure that smart and effective judgement are made regarding the functioning of business so that desired results and outcomes can be achieved.
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.
In today's economy there is a driving need to cut costs. Yet the uncertain and changing environment makes business agility more critical than ever. To successfully address both these challenges companies must reduce maintenance costs and lead times for their existing mainframe systems and core application portfolio. They need to find ways to renovate the right pieces of their existing applications. Minimizing risk by retaining the majority of the code, yet reducing maintenance costs and improving agility by modernizing critical components. Service-Oriented Architectures deliver the framework to successfully transform core IT assets, and companies are rightfully embracing the approach. But more is needed.
This presentation covers applying Decision Management, SOA and Business Rules Management Systems to renovate your existing applications. Used together these approaches dramatically reduce maintenance costs and increasing business agility. You will see how to use the techniques and technologies to identify critical components, externalize them and make them easier and cheaper to manage and change. Illustrated with real customer stories, this webinar will show you how to increase agility and reduce costs.
Learn how to industrialize your analytic efforts with decision management to get the most out of predictive analytic insights, resources and investments.
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
ProcessGene develops forward-thinking GRC software solutions, designed to serve multi-subsidiary organizations. The company has been acknowledged as a market leader and innovator by the most important analyst firms. Businesses and governments worldwide use ProcessGene solutions to manage and control risks, assure compliance to policies and regulations, manage corporate governance programs, and perform internal audits.
ProcessGene’s Multi-Org technology enables synchronized management of several business process models (e.g per subsidiary), all linked to a centrally controlled, global business process baseline.
ProcessGene also offers a full range of Multi-Org Business Process Management (BPM) solutions. For more information, visit www.processgene.com.
http://www.processgene.com//index.php?pageIndex=grc-solutions
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.
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
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.
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
This session will be a combination of presentation and demonstration where we will discuss the role of the Business Analyst in Business Process Modeling and the importance of modeling. A demonstration of how modeling tools can assist a BA in their work will be delivered and will include:
- documenting current or future processes
- determining how processes can be optimized and improved using simulation metrics
- using forms in process design and storyboarding
- publishing models to a larger community for feedback.
- how process models can be transformed into the language of IT (UML, BPEL, etc).
We will also demonstrate BPM BlueWorks, which is an online platform for business analysts! It can help accelerate business process improvement at NO COST. Features include dozens of industry-specific strategy, capability and process maps. Private online tools and workspaces to build new business processes and capability to share online workspaces with your colleagues. Check out http://www.bpmblueworks.com
Salmon's presentation given at a half-day advisory seminar and networking session designed for Rackspace eCommerce clients and prospects, eCommerce software partners and web design partners.
Similar to Brainstorm - Smarter Simpler More Agile Processes (20)
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.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
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.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
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/
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
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During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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.
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.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
When all you have is a hammer, everything looks like a nailOnly thinking about process can be dangerous- The systems you are integrating are pretty dumb and hard to change- Many processes rely on people to provide intelligence The rules that help control a process are not the same as decision rules The rate of change of decisions is often different, and higher, than that of processes Decisions can be shared across processes and systems and so require different management
Process management and decision management are different – they have different intentions, different outcomes, different techniques and different technology
Just to bring this home, here’s an example of an underwriting process to show where the decisions might be.
As we are talking about decisions it is worth remembering that all decisions matter, as Peter Drucker noted. Not just the big, strategic decisions of your executives but the day to day decisions that drive your business.After all, people react to your organization’s decisions, especially decisions made by front-line systems and staff, as though they are both personal and deliberateYou should make sure they are
First, decisions. When we wrote the book this was an area where we wrote a lot more than we had expected – when you think about decisions all the time you get used to identifying them and focusing on them but it is challenging initially.We are not talking about strategic decisions here – should we do business in Alaska, say – but on the decisions that relate to specific individuals, customers, members. These customer treatment decisions can and should be identified, externalized and managed.There are a number of different ways to find these decisions and the four most common are:Micro decisionsOrganizations do not realize how many they makeEvery strategic decision has many operational consequencesEach customer interaction can be many decisionsManual decisionsHidden under manual processesDecisions that are being taken every day by front-line staffConflicting decisionsDifferent parts of your organization treat customers differentlyA longer time horizon might drive a different decisionDecisions are made inconsistentlyMissing or default decisionsDecisions that you do not think you can take and so you do the same thing every timeThe policy was set a long time ago and was never updatedFred has a great example of this with the AmEx website which you will see later
Here’s an example from a retailer to illustrate my point. They wanted to get members who bought only within a single category to start buying in multiple categories.They created a number of test groups and then used their traditional approach to target some in each group. These mailings were designed in the traditional way – find a segment, figure out a message and a compelling cross-sell, send a letter. They got a pretty typical result – just under 1%In parallel they conducted a separate campaign designed by focusing in on the operational decision of what to send THIS customer. The cross-sell offer was targeted to the micro-segment that a particular customer was in, the messaging was targeted using rules, prices and location information was selected for that customer etc. The results for this personalized campaign are better This represents a 2000% improvement in response rates. The customers in the personalized campaigns also had larger baskets too so the results were better by even more than 2000%By drilling down from their strategic objective – increasing basket size by expanding the range of products purchases – to the specific operational decisions that impact customers they got tremendous results.
In this case a manufacturer wanted to provide an automated diagnostic system for its products.All business rules are entered and managed directly by engineers who understand the symptoms, problems, and products. No IT resources are required to make updates, so changes and improvements are made quickly and inexpensively.Five months to build rather than 30 monthsROI 10 to 20x hard-coding rules
Analytics simplify data to amplify its valuePredictive Analytics turn uncertainty into usable probability
The challenge often faced is that the analytic insight must be delivered to systems and manual processes, people with policy and procedural manuals, before it can be truly put to work. All too often the process for doing that is broken, because it passes through PowerPoint or Word or something similar or simply painfully slow. I remember talking to an online travel site’s IT team once and asking them about modeling. Oh yes, they said, our business users paid for a response model. When we asked to see it they showed us a PowerPoint presentation. That’s nice we said, where’s the model? They said “It’s described in the PowerPoint”. That meant the IT department had to find where to apply it, and there were several spots, figure out how to code the model and link it to the data actually available in the operational environment and then re-test and confirm everything. Months later the model was in production. Somehow I doubt the business got the return it was expecting on that modeling investment….To put analytics to work we need a new approach.
In this example an insurance company implemented a risk-based underwriting decision service for use across its systems.In the first year an eight-point reduction in combined ratio Resources are applied more effectively, because manual review of clearly unacceptable and clearly acceptable risks eliminatedUnderwriters focus more on book management and agent performance.People in the underwriting department manage the rules and don’t compete for IT resources.Risk management is more effective and pricing is more accurate, because the number of pricing tiers increased four to eight times.
One of the challenges with decisions is that they take time to play out – the results may not become obvious for some time. So, if we take a population and take a decision about how to treat them we will only see the results that generates if we wait for some period of time – perhaps until they are next due for a check up or a renewal, perhaps sooner. By the time the results are clear, however, it is way too late to gather any new data about what might have worked better.To address this we do not treat everyone exactly the same. We take our main approach – called the champion – and apply it to most of our population. We also create a number of challengers – alternatives – and apply them to a small percentage of the population. Now as time passes we are also collecting information about how these alternatives would have worked. If one works better, we can make that the new champion and then apply it to all subsequent decisions.Better yet, we can make it the champion and develop new challengers and repeat the process. Ensuring that we always have challengers running allows us to constantly verify our approach and continuously improve it.
It is particularly easy to see how failing to identify explicit decisions over complicates a business processThis example is from IDS-Scheer and shows how using the usual branching and related structures of a process design can become terribly complex. Not only is this hard to read and use but any change to the decision making logic impacts the process design and adds complexityIn contrast the same process with the complexity of the decision encapsulated in a decision service is simpler, easy to manage and can now be changed independently of the decision logic.