MDM not only makes digital transformation possible, it optimizes the results of these efforts while reducing the risk of tactical and strategic failures. This webinar dives into the critical role that MDM plays in digital business transformation initiatives
Poor data quality should be a primary driver in selecting and implementing a Master Data Management solution, and yet 64% of organizations say it's the reason they abandoned the evaluation.*
*Profisee Topline Market Study 2020
CRM data quality has become so pervasive that only 49% of organizations consider the current state of their CRM data to be clean, not allowing them to fully leverage it.
With the deadline to ensure compliance with CMS Interoperability quickly approaching, now is the time to consider investing in technology innovations that help to ensure you remain compliant with the new regulations. It’s become more imperative than ever that healthcare organizations have a golden record of master data that can be seamlessly mapped back to any interoperability standard.
Harvard-Profisee | Path to Trustworthy Data Webinar SlidesProfisee
Find out how your data investments and strategies compare to the 343 executives surveyed by Harvard Business Review Analytic Services and learn how you can leverage your enterprise data as a strategic asset from those who have walked the path before you.
These slides guided a presentation from Alex Clemente, Managing Director at Harvard Business Review Analytic Services and include several key findings from the 2021 HBR-AS Pulse Survey, "The Path to Trustworthy Data."
Be sure to watch the entire presentation and interactive Q&A on-demand here: https://profisee.com/event/walking-the-path-to-trustworthy-data/
It's not one or the other, or, one vs the other... MDM and DG are better together. And for good reasons.
Join Nicola Askham, The Data Governance Coach, as she discusses the relationship between Data Governance (DG) and MDM, how they benefit each other, and how to get maximum value from both.
Join Bill O'Kane, former Gartner VP and MDM Analyst to examine current trends occurring in the MDM marketplace today at the "street-level" and how they can impact your enterprise or MDM initiatives.
Selling MDM to Leadership: Beyond the 1st Use-CaseProfisee
Getting through the first business case is challenging and can seem to go on forever. It may seem impossible to believe, but MDM will become a way of life for your organization. We’ll walk through countless examples to demonstrate the far-reaching impact and value that an MDM program can have.
Poor data quality should be a primary driver in selecting and implementing a Master Data Management solution, and yet 64% of organizations say it's the reason they abandoned the evaluation.*
*Profisee Topline Market Study 2020
CRM data quality has become so pervasive that only 49% of organizations consider the current state of their CRM data to be clean, not allowing them to fully leverage it.
With the deadline to ensure compliance with CMS Interoperability quickly approaching, now is the time to consider investing in technology innovations that help to ensure you remain compliant with the new regulations. It’s become more imperative than ever that healthcare organizations have a golden record of master data that can be seamlessly mapped back to any interoperability standard.
Harvard-Profisee | Path to Trustworthy Data Webinar SlidesProfisee
Find out how your data investments and strategies compare to the 343 executives surveyed by Harvard Business Review Analytic Services and learn how you can leverage your enterprise data as a strategic asset from those who have walked the path before you.
These slides guided a presentation from Alex Clemente, Managing Director at Harvard Business Review Analytic Services and include several key findings from the 2021 HBR-AS Pulse Survey, "The Path to Trustworthy Data."
Be sure to watch the entire presentation and interactive Q&A on-demand here: https://profisee.com/event/walking-the-path-to-trustworthy-data/
It's not one or the other, or, one vs the other... MDM and DG are better together. And for good reasons.
Join Nicola Askham, The Data Governance Coach, as she discusses the relationship between Data Governance (DG) and MDM, how they benefit each other, and how to get maximum value from both.
Join Bill O'Kane, former Gartner VP and MDM Analyst to examine current trends occurring in the MDM marketplace today at the "street-level" and how they can impact your enterprise or MDM initiatives.
Selling MDM to Leadership: Beyond the 1st Use-CaseProfisee
Getting through the first business case is challenging and can seem to go on forever. It may seem impossible to believe, but MDM will become a way of life for your organization. We’ll walk through countless examples to demonstrate the far-reaching impact and value that an MDM program can have.
Selling MDM to Leadership: Defining the WhyProfisee
It's one of the hardest things to do prior to beginning an MDM initiative, but understanding why you need MDM from a business point of view is critical to ensure the success of the project.
It is easy to get caught up in the possibilities of what MDM can do for your enterprise. It can be daunting trying to decide where to start, what to measure, and what objectives to set. After all, not all data has the same value and not all data problems have the same impact. Learn how to determine the scope of your MDM program with this presentation.
Making an Effective Business Case for Master Data ManagementProfisee
85% of MDM (master data management) initiatives will fail to go beyond piloting and experimentation, making a persuasive and informative business case for MDM critical to the program's success.
Developing & Deploying Effective Data Governance FrameworkKannan Subbiah
This is the slide deck presented at the Customer Privacy and Data Protection India Summit 2019 held in Mumbai, India. The specific topics touched upon are the guiding principles, Aligning with Data Architecture, Data Quality & Compliance.
Modern Data Management for Modern HealthcareProfisee
In today’s healthcare environment data is either your friend or your enemy; with good data you can deliver high-quality healthcare with bad data you won’t survive and thrive. Master Data Management (MDM) is a key pillar of any data strategy and provides a trusted data foundation for healthcare success. This webinar will show how MDM can provide a trusted data foundation for a wide range of data management initiatives.
Data Warehouse - a Fit-For-Purpose ApproachJohn Bao Vuu
According to Gartner, the failure rate for developing a successful data warehouse is about 50%. There are so many different reasons why and every expert will have their own valid opinion. A “fit-for-purpose” approach is designed to put business needs first. It is 1. Business driven, 2. Flexible, and 3. Incremental (Agile).
• Enterprise Decision Support Architecture
• Benefits of Data Warehouse
• Data Warehouse Implementation - “Fit-for-Purpose” Principles
• Strategic Business Alignment with Data Warehouse
• The Continuum of Data Warehouse
Selling MDM to Leadership: Evaluation PitfallsProfisee
Chances are, this is probably the first time you've evaluated an MDM solution, and by now, you know there is A LOT to consider when evaluating vendors. But before you go signing any contracts, be sure you know exactly what you're signing up for.
Suresh Menon, Vice President, Product Management - Information Quality Solutions at Informatica, shares how to master your data and your business from the 2015 Informatica Government Summit.
Unlocking Success in the 3 Stages of Master Data ManagementPerficient, Inc.
Master data management (MDM) comprises the processes, governance, policies, standards and tools that define and manage critical data. MDM is used to conduct strategic initiatives such as customer 360, product excellence and operational efficiency.
The quality of enterprise Information depends on the master data, so getting it right should be a high priority. This webinar will highlight key factors needed for success in each of the three stages of the MDM journey:
Planning
Implementation
Steady state
We review each stage in detail and provide insight into planning and collaborative activities. In this slideshare you will learn:
Best practices, tips and techniques for a successful MDM program
Top considerations for business case building, architecture and going live
How to support the overall program after launching your MDM program
Emagia Master Class 3 | Integrated Order-to-Cash (OTC) Transformation for Glo...emagia
Integrated Order-to-Cash (OTC) Transformation for Global Shared Service Organizations. Emagia Master Class 3. Automated consolidated receivables – in total and by customer from multiple ERP’s
https://www.emagia.com/master-class/
Big data governance as a corporate governance imperativeGuy Pearce
Poor data governance impacts reputation risk by data breach, by privacy violations and by acting on poor quality data. Furthermore, there are some important differences in what data governance means for big data compared to data governance for operational data.
That poor data governance impacts reputation risk means it has considerable implications for the Board of Directors, for whom reputation risk is the number one risk according to Deloitte (2013).
This presentation targeting the Board of Directors and the C-Suite and presented at the National Data Governance and Privacy Congress in Calgary, Canada presented some reasons why data governance is critical, from the perspective of both the C-Suite and the Board of Directors.
(Also on YouTube at http://youtu.be/QR4KO3Yx0n4)
Evidence suggests that the track record of MDM (Master Data Management) initiatives is not very good. Traditional MDM is often a costly, time-consuming, IT-driven activity that is disconnected from business goals and stakeholders. Even MDM projects that initially meet their goals often suffer during sustainment, or are limited to specific divisions and fail to provide value for the rest of the organization.
This webinar will:
- Review the technical and business challenges associated with the traditional MDM lifecycle
- Explain why the technologies and conventional wisdom associated with MDM do not seem to be working
- Discuss use cases of organizations who have achieved success by adopting a new, iterative approach called "streamlined MDM"
Slide deck from a webinar presented by Earley Information Science on "MDM - The Key to Successful Customer Experience Management." Featured speaker is EIS Director of Delivery Services, Tim Barnes.
The C-level executives are puzzled and rightfully so, as to why MDM/CDI projects are so complex, time consuming and expensive when the subject matter is simply the "CUSTOMER" data. Achieving nirvana for a robust CDI solution is far fetched given the current maturity level of MDM/CDI technologies. It is in this context that this presentation makes an attempt to provide a direction with TWENTY FIVE golden rules, distilled with years of experience to clear the path for any MDM/CDI implementation.
Selling MDM to Leadership: Defining the WhyProfisee
It's one of the hardest things to do prior to beginning an MDM initiative, but understanding why you need MDM from a business point of view is critical to ensure the success of the project.
It is easy to get caught up in the possibilities of what MDM can do for your enterprise. It can be daunting trying to decide where to start, what to measure, and what objectives to set. After all, not all data has the same value and not all data problems have the same impact. Learn how to determine the scope of your MDM program with this presentation.
Making an Effective Business Case for Master Data ManagementProfisee
85% of MDM (master data management) initiatives will fail to go beyond piloting and experimentation, making a persuasive and informative business case for MDM critical to the program's success.
Developing & Deploying Effective Data Governance FrameworkKannan Subbiah
This is the slide deck presented at the Customer Privacy and Data Protection India Summit 2019 held in Mumbai, India. The specific topics touched upon are the guiding principles, Aligning with Data Architecture, Data Quality & Compliance.
Modern Data Management for Modern HealthcareProfisee
In today’s healthcare environment data is either your friend or your enemy; with good data you can deliver high-quality healthcare with bad data you won’t survive and thrive. Master Data Management (MDM) is a key pillar of any data strategy and provides a trusted data foundation for healthcare success. This webinar will show how MDM can provide a trusted data foundation for a wide range of data management initiatives.
Data Warehouse - a Fit-For-Purpose ApproachJohn Bao Vuu
According to Gartner, the failure rate for developing a successful data warehouse is about 50%. There are so many different reasons why and every expert will have their own valid opinion. A “fit-for-purpose” approach is designed to put business needs first. It is 1. Business driven, 2. Flexible, and 3. Incremental (Agile).
• Enterprise Decision Support Architecture
• Benefits of Data Warehouse
• Data Warehouse Implementation - “Fit-for-Purpose” Principles
• Strategic Business Alignment with Data Warehouse
• The Continuum of Data Warehouse
Selling MDM to Leadership: Evaluation PitfallsProfisee
Chances are, this is probably the first time you've evaluated an MDM solution, and by now, you know there is A LOT to consider when evaluating vendors. But before you go signing any contracts, be sure you know exactly what you're signing up for.
Suresh Menon, Vice President, Product Management - Information Quality Solutions at Informatica, shares how to master your data and your business from the 2015 Informatica Government Summit.
Unlocking Success in the 3 Stages of Master Data ManagementPerficient, Inc.
Master data management (MDM) comprises the processes, governance, policies, standards and tools that define and manage critical data. MDM is used to conduct strategic initiatives such as customer 360, product excellence and operational efficiency.
The quality of enterprise Information depends on the master data, so getting it right should be a high priority. This webinar will highlight key factors needed for success in each of the three stages of the MDM journey:
Planning
Implementation
Steady state
We review each stage in detail and provide insight into planning and collaborative activities. In this slideshare you will learn:
Best practices, tips and techniques for a successful MDM program
Top considerations for business case building, architecture and going live
How to support the overall program after launching your MDM program
Emagia Master Class 3 | Integrated Order-to-Cash (OTC) Transformation for Glo...emagia
Integrated Order-to-Cash (OTC) Transformation for Global Shared Service Organizations. Emagia Master Class 3. Automated consolidated receivables – in total and by customer from multiple ERP’s
https://www.emagia.com/master-class/
Big data governance as a corporate governance imperativeGuy Pearce
Poor data governance impacts reputation risk by data breach, by privacy violations and by acting on poor quality data. Furthermore, there are some important differences in what data governance means for big data compared to data governance for operational data.
That poor data governance impacts reputation risk means it has considerable implications for the Board of Directors, for whom reputation risk is the number one risk according to Deloitte (2013).
This presentation targeting the Board of Directors and the C-Suite and presented at the National Data Governance and Privacy Congress in Calgary, Canada presented some reasons why data governance is critical, from the perspective of both the C-Suite and the Board of Directors.
(Also on YouTube at http://youtu.be/QR4KO3Yx0n4)
Evidence suggests that the track record of MDM (Master Data Management) initiatives is not very good. Traditional MDM is often a costly, time-consuming, IT-driven activity that is disconnected from business goals and stakeholders. Even MDM projects that initially meet their goals often suffer during sustainment, or are limited to specific divisions and fail to provide value for the rest of the organization.
This webinar will:
- Review the technical and business challenges associated with the traditional MDM lifecycle
- Explain why the technologies and conventional wisdom associated with MDM do not seem to be working
- Discuss use cases of organizations who have achieved success by adopting a new, iterative approach called "streamlined MDM"
Slide deck from a webinar presented by Earley Information Science on "MDM - The Key to Successful Customer Experience Management." Featured speaker is EIS Director of Delivery Services, Tim Barnes.
The C-level executives are puzzled and rightfully so, as to why MDM/CDI projects are so complex, time consuming and expensive when the subject matter is simply the "CUSTOMER" data. Achieving nirvana for a robust CDI solution is far fetched given the current maturity level of MDM/CDI technologies. It is in this context that this presentation makes an attempt to provide a direction with TWENTY FIVE golden rules, distilled with years of experience to clear the path for any MDM/CDI implementation.
White Paper: Don't Let Your Corporate Strategy be Hostage to Your IT StrategyGigya
Digital innovation being demanded by every business unit is transforming IT’s role to that of the main driver of new growth initiatives, prompting a shift in perspective and strategy for CIOs that begins with a well-planned and executed approach to managing customer identities. While legacy IAM might seem like a natural starting point for meeting this challenge, customer identity and access management (CIAM) has significantly different requirements and outcomes when compared to employee-facing IAM.
Data Quality Management (DQM) impacts a number of key business drivers, ranging from regulatory
compliances, to customer satisfaction, to building new business models. Quality is one of the key functions
under Data Governance, as unverified/unqualified data has little value to the organization. One of the leading
global research and advisory firm estimates that an average Fortune 500 enterprise loses about $9.7mn
annually over data quality issues. Although the true intangible cost of poor data is much higher, the sad truth
is that data quality has not been paid the attention it deserves.
The CFO Guide to Data with Deloitte & WorkdayWorkday, Inc.
A recent explosion of data and rapidly evolving tools and techniques for managing it have made it difficult to turn data into value.
View this deck to hear how Deloitte and Workday are helping organizations get a handle on their data, deploying automated, analytics-based planning models, streamlining finance operations, and becoming truly decision ready.
Identifying causes, business impact, and techniques to eliminate bad data fro...AkashSingh388720
determining the root reasons, the effects on the business, and the methods to remove erroneous data from CRM Frequently Used Busting Fail-Proof Ways to Hire A-Listers in Sales: 5 Common CRM Myths Recommendations from Us Where does innovation lead us with respect to retail redefined?
Enterprise-Level Preparation for Master Data Management.pdfAmeliaWong21
Master Data Management (MDM) continues to play a foundational role in the Data Management Architecture of every 21st century enterprise. In a forward-looking organization, MDM is significant in the Enterprise Integration Hub.
Managing self-provisioned profiles and customer-generated
data within legacy IAM has proven overwhelming and costly. A cloud-based Customer Identity and Access Management (cIAM) platform can meet this challenge while helping your business extract maximum value from customer data.
Process Automation Powerpoint Presentation SlidesSlideTeam
Identify and eliminate the repetitive processes and decrease manual work by using our visually appealing Process Automation PowerPoint Presentation Slides. Our business process automation PPT visuals, help you to automate the processes and use secured software to perform the different tasks. The robotic process automation PowerPoint slide deck contains current state analysis, automation implementation areas, such as the market department, human resource department, finance department, etc. Discuss the challenges faced by the company which arises the need for automation by using business process reengineering PPT slideshow. Showcase different business automation processes such as file transfer, report generation, order entry, spreadsheets, etc. After that, describe automation implementation areas, including marketing, human resourcing, finance, and accounting. The presentation also provides the details of marketing automation software, CRM system, the timeline for implementing marketing automation in the company. Details like challenges faced by the HR department due to lack of automation, impact of automation on HR management can be presented with company automation PPT layouts. Download our ready-to-use business automation PPT slide deck and overcome the gap between business and technology by offering automated solutions. https://bit.ly/2SolU4W
Your CRM data is a perishable asset when left on its own, it’s value will diminish unless you look after it well. Improve data quality to boost your marketing ROI. Cleanse, update and validate your CRM databases to fill in missing information. Ensure all of your data is accurate and consistent regardless of the data source to establish more meaningful customers’ interactions. Explore CRMIT's Data Management Services
Maximize ROI of Insurance Digital Transformation Initiatives with Proven Data...Precisely
Many insurance carriers are transforming the way they do business by deploying new software technologies, migrating data and services to the cloud, and leveraging artificial intelligence (AI) to speed decision-making. Data is at the heart of all these initiatives, and it has a direct impact on success or failure. When that data is integrated into upstream or downstream processes, it can also have a broader impact on the operational, analytical, and compliance needs of the organization. The traditional, and often ad-hoc, tools and processes that organizations employ to support data quality, data integrity, transaction reconciliation, and exception management are often inadequate. They do not provide the speed, technical agility, and intelligence demanded by digital transformation initiatives.
Join us to explore proven methods of how insurance carriers are maximizing ROI and minimizing the time-to-value of digital transformation initiatives by:
• Aligning data governance with organizational and project objectives to reduce implementation effort and duration
• Leveraging automated controls for data quality, including balance and reconciliation of data in motion to avoid operational disruptions and maintain regulatory compliance
• Increasing efficiency and capability through centralized data integrity solution
Overcoming the Challenges of your Master Data Management JourneyJean-Michel Franco
This Presentaion runs you through all the key steps of an MDM initiative. It considers and showcase the key milestones and building blocks that you will have to roll-out to make your MDM
journey
-> Please contact Talend for a dedicated interactive sessions with a storyboard by customer domain
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/
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.
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.
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!
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
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.
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.
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.
7. 05_01_20
DATA MANAGEMENT SOLUTION SPACE
Data Quality
Data Profiling
Deduplication
Data Governance
Data Glossary
Data Catalog
Policies
Master Data
Management
Data
Modeling
Golden
Record
Management
Data
Stewardship
Workflow
Management
Data Quality
Rules
Data
Verification/
Standardization
Innovation
Tactical Customer Data Management Journey
Strategic Customer Data Management Journey
This is an introduction slide. Use the title for the title of your presentation. Use the subtitle for the presenter’s name, role, and/or title. Add a graphic pertinent to your presentation on the right side.
This is an impact slide. Use this to exclaim a fundamental, overarching idea that you want to really drive home. Put a big image in the back of the slide for even more impact.
This is a big impact quote slide. Use this for your most inspiring quote.
This is a standard content slide. Try not to use the slide for everything. Try one of the background slides, or move some of your content to a callout, especially if you have a lot of text. Your audience will thank you.
In business, things always seem simple on the surface. Take these questions for example, they all seem simple. But today, it's getting harder to get the information we need for even simple questions like these .
Similarly, we all remember puzzles like this from our childhood. There's only 4 pieces, it's easy. Now, if this simple puzzle represents the information we need to answer one of these questions,
Let's see why it's gotten so hard to solve.
Here we have the Data Management Journey Quadrant. Every company or organization is in a different place in their Data Management journey.
Let's look at what's different about the 10% of organizations that HAVE adopted a STRATEGIC approach to managing their data and the those that havaen't.
One the left axis is MDM Viewpoint. Companies with a broad MDM Viewpoint understand that MDM can solve a wide array of data challenges. On the bottom is Business Engagement. Companies with high Business Engagement have business stakeholders who understand data management, the value it can deliver, and are bought in.
The 10% of companies that have adopted MDM are mostly in the top right quadrant, called Strategic. Why is this, it's because they have been able to justify the traditional Massive Data Management projects, as well as, have both IT and the Business aligned on the business outcome of MDM.
At the same time, every company we meet with would like to be able to do all of these things. Everyone would like better their data quality or to improve cross system integrations.
What's stopping them?
When faced with the prospect of a Massive Data Management project, which has traditionally been the only option imposed by MDM vendors, the smart ones, have done nothing. It's been too costly, too complex, and it takes too long to get the results needed for a fast moving, fast changing business.
What does that mean for the rest of the 90%? Well, they're in a different phase on their data management journey.
(THIS IS WHERE YOU CAN RELATE TO THE ROOM WITH SPECIFIC INFORMATION ABOUT THEIR STRATEGIC BUSINESS INITATIVE, OR PROJECT.)
Some organizations have a broad vision for data management, but limited buy in for the business. They may have a CDO, CIO or other IT executive who sees numerous opportunities for data management to help the business, but are unable to get the business to buy-in.
Other organizations have IT resources that see perhaps a single data management problem they'd like to quickly solve, but need an easy entry point so they can show some results.
Organizations in the Searching quadrant have business users who are aware of data challenges, such as a CMO who know CRM is a mess, but aren't aware of data management as a solution to their problems.
AGAIN, THIS IS AN OPPORTUNTY TO ENGAGE THE PROSPECT AND ASK WHERE THEY FEEL THEY ARE IN THEIR JOURNEY.
Now let's take a look at how Profisee helps companies on this journey.
DV
Here is a picture of a typical enterprise. Let's look at Crete Carrier, one of their top customers.
1. Let's start with CRM. Here we find not one, but three different records for Crete Carrier. With MDM we can identify and Correct these duplicates, merging them together.
2. In our ERP, we're missing the DUNS number, and the address only has a 4 digit zip. With MDM, we can enrich this data, filling in the blank DUNS, and verifying the Address.
3. Next, in our Supply Chain system, the address is different from our ERP and incorrect. With MDM, we can Connect these systems, updating our SCM application with the new address from the ERP.
Lastly, our BI/Data Warehouse. Since we are consolidating data across applications, it's a real mess, with all versions of Creet Carrier represented.
With MDM now connecting these applications together, we can create a complete view of Crete Carrier, enabling more accurate and trusted analytics.
With MDM, we are able to Correct, Enhance, and Connect data to support information driven initiatives.
So why does this matter today? It seems obvious.