This webinar from Gartner provided seven building blocks for a successful master data management (MDM) plan: vision, strategy, metrics, information governance, organization and roles, information lifecycle, and enabling infrastructure. The presentation emphasized the importance of establishing an MDM vision aligned with business goals, assessing the organization's current MDM maturity, defining metrics to measure success, establishing governance, and considering organizational roles and responsibilities. It also stressed understanding the information lifecycle and having the right technology infrastructure.
Master Data Management – Aligning Data, Process, and GovernanceDATAVERSITY
Master Data Management (MDM) provides organizations with an accurate and comprehensive view of their business-critical data such as customers, products, vendors, and more. While mastering these key data areas can be a complex task, the value of doing so can be tremendous – from real-time operational integration to data warehousing and analytic reporting. This webinar will provide practical strategies for gaining value from your MDM initiative, while at the same time assuring a solid architectural and governance foundation that will ensure long-term, enterprise-wide success.
Gartner: Master Data Management FunctionalityGartner
Gartner will further examine key trends shaping the future MDM market during the Gartner MDM Summit 2011, 2-3 February in London. More information at www.europe.gartner.com/mdm
Reference matter data management:
Two categories of structured data :
Master data: is data associated with core business entities such as customer, product, asset, etc.
Transaction data: is the recording of business transactions such as orders in manufacturing, loan and credit card payments in banking, and product sales in retail.
Reference data: is any kind of data that is used solely to categorize other data found in a database, or solely for relating data in a database to information beyond the boundaries of the enterprise .
Metadata is hotter than ever, according to a number of recent DATAVERSITY surveys. More and more organizations are realizing that in order to drive business value from data, robust metadata is needed to gain the necessary context and lineage around key data assets. At the same time, industry regulations are driving the need for better transparency and understanding of information.
While metadata has been managed for decades, new strategies & approaches have been developed to support the ever-evolving data landscape, and provide more innovative ways to drive business value from metadata. This webinar will provide an overview of metadata strategies & technologies available to today’s organization, and provide insights into building successful business strategies for metadata adoption & use.
Master Data Management – Aligning Data, Process, and GovernanceDATAVERSITY
Master Data Management (MDM) provides organizations with an accurate and comprehensive view of their business-critical data such as customers, products, vendors, and more. While mastering these key data areas can be a complex task, the value of doing so can be tremendous – from real-time operational integration to data warehousing and analytic reporting. This webinar will provide practical strategies for gaining value from your MDM initiative, while at the same time assuring a solid architectural and governance foundation that will ensure long-term, enterprise-wide success.
Gartner: Master Data Management FunctionalityGartner
Gartner will further examine key trends shaping the future MDM market during the Gartner MDM Summit 2011, 2-3 February in London. More information at www.europe.gartner.com/mdm
Reference matter data management:
Two categories of structured data :
Master data: is data associated with core business entities such as customer, product, asset, etc.
Transaction data: is the recording of business transactions such as orders in manufacturing, loan and credit card payments in banking, and product sales in retail.
Reference data: is any kind of data that is used solely to categorize other data found in a database, or solely for relating data in a database to information beyond the boundaries of the enterprise .
Metadata is hotter than ever, according to a number of recent DATAVERSITY surveys. More and more organizations are realizing that in order to drive business value from data, robust metadata is needed to gain the necessary context and lineage around key data assets. At the same time, industry regulations are driving the need for better transparency and understanding of information.
While metadata has been managed for decades, new strategies & approaches have been developed to support the ever-evolving data landscape, and provide more innovative ways to drive business value from metadata. This webinar will provide an overview of metadata strategies & technologies available to today’s organization, and provide insights into building successful business strategies for metadata adoption & use.
To take a “ready, aim, fire” tactic to implement Data Governance, many organizations assess themselves against industry best practices. The process is not difficult or time-consuming and can directly assure that your activities target your specific needs. Best practices are always a strong place to start.
Join Bob Seiner for this popular RWDG topic, where he will provide the information you need to set your program in the best possible direction. Bob will walk you through the steps of conducting an assessment and share with you a set of typical results from taking this action. You may be surprised at how easy it is to organize the assessment and may hear results that stimulate the actions that you need to take.
In this webinar, Bob will share:
- The value of performing a Data Governance best practice assessment
- A practical list of industry Data Governance best practices
- Criteria to determine if a practice is best practice
- Steps to follow to complete an assessment
- Typical recommendations and actions that result from an assessment
Master Data Management's Place in the Data Governance Landscape CCG
For many organizations, Master Data Management is a necessity to ensure consistency and accuracy of essential business entities. It further plays alongside data architecture, metadata management, data quality, security & privacy, and program management in the Data Governance ecosystem.
Join CCG's data governance subject matter experts as they overview the fundamentals of Master Data Management at our Atlanta-based Data Analytics Meetup. This event will discuss how to enable components of data governance within your organization and review how to best leverage Microsoft's SQL Server Master Data Services.
In business, master data management is a method used to define and manage the critical data of an organization to provide, with data integration, a single point of reference.
Activate Data Governance Using the Data CatalogDATAVERSITY
Data Governance programs depend on the activation of data stewards that are held formally accountable for how they manage data. The data catalog is a critical tool to enable your stewards to contribute and interact with an inventory of metadata about the data definition, production, and usage. This interaction is active Data Governance in the truest sense of the word.
In this RWDG webinar, Bob Seiner will share tips and techniques focused on activating your data stewards through a data catalog. Data Governance programs that involve stewards in daily activities are more likely to demonstrate value from their data-intensive investments.
Bob will address the following in this webinar:
- A comparison of active and passive Data Governance
- What it means to have an active Data Governance program
- How a data catalog tool can be used to activate data stewards
- The role a data catalog plays in Data Governance
- The metadata in the data catalog will not govern itself
How to Build & Sustain a Data Governance Operating Model DATUM LLC
Learn how to execute a data governance strategy through creation of a successful business case and operating model.
Originally presented to an audience of 400+ at the Master Data Management & Data Governance Summit.
Visit www.datumstrategy.com for more!
Gartner: Seven Building Blocks of Master Data ManagementGartner
Gartner will further examine key trends shaping the future MDM market during the Gartner MDM Summit 2011, 2-3 February in London. More information at www.europe.gartner.com/mdm.
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
How to identify the correct Master Data subject areas & tooling for your MDM...Christopher Bradley
1. What are the different Master Data Management (MDM) architectures?
2. How can you identify the correct Master Data subject areas & tooling for your MDM initiative?
3. A reference architecture for MDM.
4. Selection criteria for MDM tooling.
chris.bradley@dmadvisors.co.uk
Data Architecture, Solution Architecture, Platform Architecture — What’s the ...DATAVERSITY
A solid data architecture is critical to the success of any data initiative. But what is meant by “data architecture”? Throughout the industry, there are many different “flavors” of data architecture, each with its own unique value and use cases for describing key aspects of the data landscape. Join this webinar to demystify the various architecture styles and understand how they can add value to your organization.
Tackling Data Quality problems requires more than a series of tactical, one-off improvement projects. By their nature, many Data Quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process, and technology. Join Nigel Turner and Donna Burbank as they provide practical ways to control Data Quality issues in your organization.
Enterprise Architecture vs. Data ArchitectureDATAVERSITY
Enterprise Architecture (EA) provides a visual blueprint of the organization, and shows key interrelationships between data, process, applications, and more. By abstracting these assets in a graphical view, it’s possible to see key interrelationships, particularly as they relate to data and its business impact across the organization. Join us for a discussion on how Data Architecture is a key component of an overall Enterprise Architecture for enhanced business value and success.
Data Governance — Aligning Technical and Business ApproachesDATAVERSITY
Data Governance can have a varied definition, depending on the audience. To many, data governance consists of committee meetings and stewardship roles. To others, it focuses on technical data management and controls. Holistic data governance combines both of these aspects, and a robust data architecture and associated diagrams can be the “glue” that binds business and IT governance together. Join this webinar for practical tips and hands-on exercises for aligning data architecture & data governance for business and IT success.
Data Architecture Strategies: Data Architecture for Digital TransformationDATAVERSITY
MDM, data quality, data architecture, and more. At the same time, combining these foundational data management approaches with other innovative techniques can help drive organizational change as well as technological transformation. This webinar will provide practical steps for creating a data foundation for effective digital transformation.
The Data Governance Annual Conference and International Data Quality Conference in San Diego was very good. I recommend this conference for business and IT persons responsible for data quality and data governenance. There will be a similar event in Orlando, December 2010. This is the presentation I delivered to a grateful audience.
The what, why, and how of master data managementMohammad Yousri
This presentation explains what MDM is, why it is important, and how to manage it, while identifying some of the key MDM patterns and best practices that are emerging. This presentation is a high-level treatment of the problem space.
The presentation is summarizing the article of Microsoft in a simple way.
https://msdn.microsoft.com/en-us/library/bb190163.aspx
To take a “ready, aim, fire” tactic to implement Data Governance, many organizations assess themselves against industry best practices. The process is not difficult or time-consuming and can directly assure that your activities target your specific needs. Best practices are always a strong place to start.
Join Bob Seiner for this popular RWDG topic, where he will provide the information you need to set your program in the best possible direction. Bob will walk you through the steps of conducting an assessment and share with you a set of typical results from taking this action. You may be surprised at how easy it is to organize the assessment and may hear results that stimulate the actions that you need to take.
In this webinar, Bob will share:
- The value of performing a Data Governance best practice assessment
- A practical list of industry Data Governance best practices
- Criteria to determine if a practice is best practice
- Steps to follow to complete an assessment
- Typical recommendations and actions that result from an assessment
Master Data Management's Place in the Data Governance Landscape CCG
For many organizations, Master Data Management is a necessity to ensure consistency and accuracy of essential business entities. It further plays alongside data architecture, metadata management, data quality, security & privacy, and program management in the Data Governance ecosystem.
Join CCG's data governance subject matter experts as they overview the fundamentals of Master Data Management at our Atlanta-based Data Analytics Meetup. This event will discuss how to enable components of data governance within your organization and review how to best leverage Microsoft's SQL Server Master Data Services.
In business, master data management is a method used to define and manage the critical data of an organization to provide, with data integration, a single point of reference.
Activate Data Governance Using the Data CatalogDATAVERSITY
Data Governance programs depend on the activation of data stewards that are held formally accountable for how they manage data. The data catalog is a critical tool to enable your stewards to contribute and interact with an inventory of metadata about the data definition, production, and usage. This interaction is active Data Governance in the truest sense of the word.
In this RWDG webinar, Bob Seiner will share tips and techniques focused on activating your data stewards through a data catalog. Data Governance programs that involve stewards in daily activities are more likely to demonstrate value from their data-intensive investments.
Bob will address the following in this webinar:
- A comparison of active and passive Data Governance
- What it means to have an active Data Governance program
- How a data catalog tool can be used to activate data stewards
- The role a data catalog plays in Data Governance
- The metadata in the data catalog will not govern itself
How to Build & Sustain a Data Governance Operating Model DATUM LLC
Learn how to execute a data governance strategy through creation of a successful business case and operating model.
Originally presented to an audience of 400+ at the Master Data Management & Data Governance Summit.
Visit www.datumstrategy.com for more!
Gartner: Seven Building Blocks of Master Data ManagementGartner
Gartner will further examine key trends shaping the future MDM market during the Gartner MDM Summit 2011, 2-3 February in London. More information at www.europe.gartner.com/mdm.
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
How to identify the correct Master Data subject areas & tooling for your MDM...Christopher Bradley
1. What are the different Master Data Management (MDM) architectures?
2. How can you identify the correct Master Data subject areas & tooling for your MDM initiative?
3. A reference architecture for MDM.
4. Selection criteria for MDM tooling.
chris.bradley@dmadvisors.co.uk
Data Architecture, Solution Architecture, Platform Architecture — What’s the ...DATAVERSITY
A solid data architecture is critical to the success of any data initiative. But what is meant by “data architecture”? Throughout the industry, there are many different “flavors” of data architecture, each with its own unique value and use cases for describing key aspects of the data landscape. Join this webinar to demystify the various architecture styles and understand how they can add value to your organization.
Tackling Data Quality problems requires more than a series of tactical, one-off improvement projects. By their nature, many Data Quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process, and technology. Join Nigel Turner and Donna Burbank as they provide practical ways to control Data Quality issues in your organization.
Enterprise Architecture vs. Data ArchitectureDATAVERSITY
Enterprise Architecture (EA) provides a visual blueprint of the organization, and shows key interrelationships between data, process, applications, and more. By abstracting these assets in a graphical view, it’s possible to see key interrelationships, particularly as they relate to data and its business impact across the organization. Join us for a discussion on how Data Architecture is a key component of an overall Enterprise Architecture for enhanced business value and success.
Data Governance — Aligning Technical and Business ApproachesDATAVERSITY
Data Governance can have a varied definition, depending on the audience. To many, data governance consists of committee meetings and stewardship roles. To others, it focuses on technical data management and controls. Holistic data governance combines both of these aspects, and a robust data architecture and associated diagrams can be the “glue” that binds business and IT governance together. Join this webinar for practical tips and hands-on exercises for aligning data architecture & data governance for business and IT success.
Data Architecture Strategies: Data Architecture for Digital TransformationDATAVERSITY
MDM, data quality, data architecture, and more. At the same time, combining these foundational data management approaches with other innovative techniques can help drive organizational change as well as technological transformation. This webinar will provide practical steps for creating a data foundation for effective digital transformation.
The Data Governance Annual Conference and International Data Quality Conference in San Diego was very good. I recommend this conference for business and IT persons responsible for data quality and data governenance. There will be a similar event in Orlando, December 2010. This is the presentation I delivered to a grateful audience.
The what, why, and how of master data managementMohammad Yousri
This presentation explains what MDM is, why it is important, and how to manage it, while identifying some of the key MDM patterns and best practices that are emerging. This presentation is a high-level treatment of the problem space.
The presentation is summarizing the article of Microsoft in a simple way.
https://msdn.microsoft.com/en-us/library/bb190163.aspx
Master data management (mdm) & plm in context of enterprise product managementTata Consultancy Services
The presentation discusses the classical features and advantages of Master Data Management (MDM) system along with appropriate situations to use it. How do companies apply MDM who design, manufacture and sell their products in several geographies facing challenges in making appropriate decisions on their investment in PLM & MDM space?
Another important aspect covers the comparison/relation between a MDM system (or Product Master System) and Enterprise PLM system. How can you maximize your ROI on both PLM and MDM investments? With examples from different industries the key takeaways include whether your organization requires an MDM solution or not.
During this Big Data Warehousing Meetup, Caserta Concepts and Databricks addressed the number one operational and analytic goal of nearly every organization today – to have complete view of every customer. Customer Data Integration (CDI) must be implemented to cleanse and match customer identities within and across various data systems. CDI has been a long-standing data engineering challenge, not just one of logic and complexity but also of performance and scalability.
The speakers brought together best practice techniques with Apache Spark to achieve complete CDI.
Speakers:
Joe Caserta, President, Caserta Concepts
Kevin Rasmussen, Big Data Engineer, Caserta Concepts
Vida Ha, Lead Solutions Engineer, Databricks
The sessions covered a series of problems that are adequately solved with Apache Spark, as well as those that are require additional technologies to implement correctly. Topics included:
· Building an end-to-end CDI pipeline in Apache Spark
· What works, what doesn’t, and how do we use Spark we evolve
· Innovation with Spark including methods for customer matching from statistical patterns, geolocation, and behavior
· Using Pyspark and Python’s rich module ecosystem for data cleansing and standardization matching
· Using GraphX for matching and scalable clustering
· Analyzing large data files with Spark
· Using Spark for ETL on large datasets
· Applying Machine Learning & Data Science to large datasets
· Connecting BI/Visualization tools to Apache Spark to analyze large datasets internally
The speakers also touched on data governance, on-boarding new data rapidly, how to balance rapid agility and time to market with critical decision support and customer interaction. They also shared examples of problems that Apache Spark is not optimized for.
For more information on the services offered by Caserta Concepts, visit our website: http://casertaconcepts.com/
a brief overview and introduction to metadata from how it is used on the web (including seo and tagging) to its use in Flickr and library catalogs by robin fay, georgiawebgurl@gmail.com.
Museo Torino - un esempio reale d'uso di NOSQL-GraphDB, Linked Data e Web Sem...Codemotion
La presentazione tenuta da Gian Luca Farina Perseu in occasione del Codemotion del 5 marzo 2011 a Roma - http://www.codemotion.it/
Verrà presentato il progetto Museo Torino, che implementa tutte le tecnologie per Web 3.0 (Web Semantico) grazie all'uso degli standard più recenti (RDFa e Open Graph) e alla progettazione basata sulla a filosofia dei Open Data. Il motore interno è invece basato su un GraphDB, una tecnologia perfetta per gestire linked data e con una struttura flessibile e mutevole nel tempo. Inoltre una architettura leggera e dinamica basata su servizi REST, rende semplice implementare moduli applicativi.
As the only NoSQL database category that prioritizes relationships, graph databases provide all the flexibility of a NoSQL database with optimized performance for connected data. This webinar will walk you through how to model your data as a graph. We will demonstrate how to avoid pitfalls early on and how to optimize your model for answering questions as Cypher queries.
A FEW THINGS THAT WOULD HAVE BEEN HELPFUL TO KNOW BEFOREHANDMoritz Stefaner
54 slides from my 15 minute talk at the visualizing marathon Berlin 2011: "A FEW THINGS THAT WOULD HAVE BEEN HELPFUL TO KNOW BEFOREHAND" - some insights, tips and tricks in data visualization
Power the Connected Enterprise with Cloud Integration and Master Data Managem...Darren Cunningham
Presentation delivered by 3 Informatica customers at Dreamforce 2012. For more information about cloud integration and cloud master data management (MDM), please visit
Big Data in Financial Services: How to Improve Performance with Data-Driven D...Perficient, Inc.
Most banking and financial services organizations have only scratched the surface of leveraging customer data to transform their business, realize new revenue opportunities, manage risk and address customer loyalty. Yet a business’s digital footprint continues to evolve as automated payments, location-based purchases, and unstructured customer communications continue to influence the technology landscape for financial services.
How to become an Analytics-driven organization - and why bother? - IBM Smarte...IBM Sverige
Presentation från IBM Smarter Business 2011. Spår: IBM Cognos Performance.
Information is the oil of the future. It will be the resource running our economy in ways not possible in the past. In this era of extreme information organizations need to understand how to find the information that really matters and how to draw intelligence from it. They need to become Analytics-driven.
Talare: Juha Teljo, Business Analytics Executive.
Mer information på www.smarterbusiness.se
Business intelligence initiatives are too often IT oriented.
These initiatives started with all good intentions but somewhere down the road, business focus is lost and technology pushes the initiative forward. This paper givves an introduction of Business Intelligence from a business perspective. http://www.logica.com/
http://www.hcltech.com/ - More on HCL Technologies
As CIOs and business leaders try to create a modern infrastructure that can support today’s challenging IT environment, they may find themselves taking wrong turns or pursuing approaches that lead to dead ends. Here’s a technology roadmap for 2012 — one that highlights useful landmarks and identifies areas to steer clear of – that you can refer to as you explore today’s challenging IT environment. Read Now.
http://www.hcltech.com/ -
As CIOs and business leaders try to create a modern infrastructure that can support today’s challenging IT environment, they may find themselves taking wrong turns or pursuing approaches that lead to dead ends. Here’s a technology roadmap for 2012 — one that highlights useful landmarks and identifies areas to steer clear of – that you can refer to as you explore today’s challenging IT environment. Read Now.
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
-------------------------------------------
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
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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
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.
2. Welcome!
Thank you for joining us on today’s Gartner webinar.
10,800
60,000
Client
Clients
Enterprises
100,000
5,500
IT End-User
Benchmarks
Inquiries
70% of
2.7 Million
Fortune 1000
IT End-User
80% of
Searches
Global 500
750 Analysts
55 Serving Clients
Conferences in 85
Countries
10,000
4,000
Media
CIOs
Inquiries
1
4. Your MDM Program: Without a Good Plan, You
Will Probably Fail. What Do You Need to Do?
STOP
Questions You Need to Answer STOP
in the First 100 Days
Is there a What does the Does the business Can you measure
clear vision? journey look like? see the value? success?
Has governance What are the roles and Is it really just a Do we really want to
been addressed? responsibilities? technology project? create a new silo?
5. Key Issues
1. How will organizations create an MDM vision
and strategy that enables the business vision
and strategy?
2. How will organizations address the governance,
organizational and process challenges that are
barriers to MDM success?
3. How will organizations create the technology
infrastructure necessary for MDM success?
6. The Seven Building Blocks of MDM:
A Framework for Success
Vision
Strategy
Metrics
Information Governance
Organization & Roles
Information Life Cycle
Enabling Infrastructure
A Business-Driven, Holistic Approach to MDM
7. Create an MDM Vision That Enables Your
Organization's Business Vision
Value Discipline Framework Questions to Answer:
"Best Product"
1. What is the business
Product
Leadership
vision of the
organization?
Product 2. Who owns that
Differentiation business vision?
Operational Customer 3. How would a focus on
Competence Responsive MDM enable the
business vision?
4. Who will provide
Operational Customer executive-level
Excellence Intimacy sponsorship?
"Best Total Cost" "Best Total Solution"
From "The Discipline of Market Leaders" by Treacy and Wiersema
The vision is the "what" and the "why."
The strategy is the "how."
8. MDM Needs to Be Seen as Part of
Enterprise Information Management (EIM)
Vision
Strategy
Metrics
Information Governance
Organization & Roles
Information Life Cycle
Enabling Infrastructure
Master Analytic Other Social
Content Data Data Data Data …?
Master Data Management
9. What Will Shape Your MDM Strategy?
Industry
Data Domain
Vectors of
MDM Use Case
Complexity
Organization
Implementation Styles
10. MDM Maturity Model: Helps You Determine
Your Current and "To Be" States
Increasing
Maturity of
MDM Optimizing
Managed MDM is the
way we do
things around
Defined A unifying
Developing vision
here.
No vision. OK, let's do emerges (with
Initial Firefighting is Managing
something (at high-level
Non- the answer. master data
the silo level). sponsorship). as an asset.
existent No vision,
but, yes, we Isolated, Silo-oriented Enterprise-
Problem? do have a bottom-up Continuing to
solutions. wide MDM
What problem. initiatives. learn and
program.
problem? improve.
0 1 2 3 4 5
Level of MDM Maturity
Note: MDM must be deep, as well as broad, to be mature.
11. What Is the "Current State" of Your MDM
Maturity? What Is the "To Be" State?
Level 1 Level 2 Level 3 Level 4 Level 5
Initial Developing Defined Managed Optimizing
Vision None Bottom-up Top down, but Unifying vision for Key enabler of
initiatives only limited in vision cross-enterprise business
MDM success
Strategy None Reactive focus Proactive focus Consistent and Ongoing
on firefighting on individual integrated investment and
initiatives domains approach improvement
Metrics No metrics Starting to Successful use of Using metrics to Basis of
scheme for develop DQ metrics at the measure success management
master data metrics domain level cross-domain and investment
Governance No one has IT-led; lacking Domain-level Cross-enterprise Well-established
responsibility business governance multidomain cross-enterprise
involvement governance governance
Organization No data Developing the Potentially strong Centralization or Well-established
stewards culture of data team, but limited federation of data cross-enterprise
stewardship in scope steward groups stewardship
Processes Silo based — Starting to think Focus on data life Best practice Continue to
applications or in terms of the cycle at domain shared across optimize the life
functions data life cycle level the enterprise cycle
Technology Few or no data Data quality MDM solution Multidomain, but Integrated and
quality tools tools, but no covering only one not integrated or consistent set of
MDM solutions domain consistent capabilities
Most Organizations Today
12. Creating the MDM Business Case: The Basis
of Achieving Buy-In and Creating the Metrics
Questions to Answer:
Use Business Process Metrics
to "Connect to the Business" 1. Do you have the
business on board?
Does it see value in
the MDM program?
Shareholders Bottom-Line
Financial Results 2. How will MDM improve
Metrics business processes and
decision making?
Feedback
Executives Performance on Strategy
Metrics 3. What business metrics
are you linking the MDM
Process Business Process Efficiency and program to?
Owners Metrics Effectiveness
Accuracy,
4. What is the current level
Data Master Data Quality of those metrics, and what
Stewards Timeliness
Metrics does success look like?
Stakeholder Level Focus
13. Understanding the MDM Process Life Cycle
Is Key to Governance and Organization
Author Store Pub/Sync Enrich Consume Archive
B2B
Collaborate Enrich Enrich Enrich Enrich Enrich
Product
Marketing Procurement Operations Logistics Sales Service
Development
Sample Life Cycle for Product Master Data
Questions to Answer:
1. What processes will you need to ensure the creation, management, publishing
and leveraging of high-quality master data across your organization?
2. What business processes will the master data life cycle processes support?
14. MDM Governance — Who Is Responsible,
Accountable, Consulted and Informed?
R&D CRM ERP and SCM Shared Services
Order Fulfillment
Transportation
Manufacturing
Contracting &
Warehousing
Procurement
Management
Product Life
Functions
Corporate
Marketing
Customer
Sourcing
Finance
Service
Pricing
Cycle
Sales
HR
Customer
IT
Common
I R/A I C C I C C
View
Finance
C I I I R/A C
View
Sales View C R/A I I I I C
Fulfillment
C I C I R/A I C
View
R = Responsible, A = Accountable, C = Consulted, I = Informed
Questions to Answer:
1. How will you create and maintain an MDM governance organization that
includes executive sponsorship, policymaking, decision arbitration and
daily operational administration?
2. How will the governance structure enforce its will?
15. MDM Organization: Organizational
Structures, Roles and Responsibilities
Organizational Structures, Roles and Questions to Answer:
Responsibilities
1. Who creates and
consumes master data?
Executive-Level What are their roles?
Sponsor
Information
Business 2. Do you have data
Governance Board
IT stewardship roles, and are
they seen as a business
MDM Team
(Centralized or Distributed)
responsibility?
Data
Data
Steward
StewardData
StewardData MDM Infrastructure Team
3. What organizational
Steward (Virtual)
structure do you need to
manage master data?
Modeling/ App. System Security
Metadata Dev./Integ. Mgmt. Privacy
4. How will you manage the
Info.
Architect
Data
Quality
Monitoring
Reporting change that comes with
new ways of working?
16. MDM Infrastructure: What Technology
Infrastructure Do You Need?
A Tightly Integrated Set of Questions to Answer:
Functional Capabilities
1. What technology
infrastructure do you
need to achieve your
MDM goals?
Information 2. How do you source this?
Data Quality
Model Integration and How does this fit into the
Synchronization
organization's overall
MDM
enterprise information
architecture?
Technology
and Business Services 3. What architectural and
Architecture and Workflow implementation styles are
appropriate for MDM?
Manageability Performance,
and Security Scalability
and Availability
17. Gartner MDM Excellence Award
Winner: Johnson & Johnson HCS
More Better Faster Efficient
Accurate Compliance Adaptation to Expected Fewer
transaction with regulations market and OpCo Resources required
processing: requiring controls changing to manage data and
• Payments over data: requirements: fix errors:
• Rebates • SOX • New OpCos & • Contracting
• GxP Validated Companies • Finance
• Disputes
• New Products • Supply Chain
• Rosters Mgmt.
Customer • New Customers • IM
• Customer
Creation Service levels: • New Contracts
Reliable reports and • Error • New Systems Fewer Write-Offs of
performance metrics Prevention unresolved disputes
Preventive data • Perfect Orders Identification and and deductions
management: • Timely resolution of
• Proactive Payments potential problems
Problem Solving • End-to-End
• Consistent Experience
Sourcing
Source: Johnson & Johnson Health Care Systems OpCo = operating company
18. Recommendations
Vision: Create an MDM vision that enables the business vision.
Strategy: Define the scope, perform a maturity assessment and
prioritize initiatives to create a road map.
Metrics*: Create an MDM metrics hierarchy during the business
case development process.
Governance*: Create a business-led governance structure with
agreed roles, responsibilities and decision rights.
Organization: Appoint data stewards for master data, build a
multidisciplinary team and address change management issues.
Processes: Think in terms of the master data life cycle.
Technology Infrastructure: Buy or build the necessary
capabilities. Choose the right implementation styles.
* The most difficult
19. Related Gartner Research
"The Seven Building Blocks of MDM: A Framework for
Success"
(G00168103)
"Use the Gartner MDM Maturity Model to Create Your
MDM Road Map"
(G00169865)
"Creating an MDM Vision, Strategy and Road Map"
(G00165636)
"Creating a Business Case for Master Data Management"
(G00160270)
"Governance of Master Data Starts With the Master Data
Life Cycle"
(G00160018)
For more information, stop by Gartner Solution Central or e-mail us at solutioncentral@gartner.com.
20. Gartner Events
Experience live analyst expertise plus much more at a Gartner event.
Events for Business Intelligence & Information Management Professionals
Business Intelligence Summit
May 2 – 4, Los Angeles, CA
Master Data Management Summit
May 4 – 6, Los Angeles, CA
Business Intelligence & Information Management Summit
July 20, Tokyo, Japan
Visit gartner.com/us/events
19
21. Gartner Symposium/ITxpo: The world's most important
gathering of CIOs and senior IT executives
• Hundreds of analyst-led sessions, workshops, how-to clinics and more
• Role-based tracks designed to address your key priorities and challenges
• Immediately actionable take-aways—a clear action plan for the next 3, 6 and 12 months
• Mastermind Interview Keynotes with industry leaders
• ITxpo show floor with hundreds of top solution providers and exciting startups
August 22 – 24 Cape Town, South Africa November 7 – 10 Barcelona, Spain
October 3 – 5 Tokyo, Japan November 14 – 17 Gold Coast, Australia
October 16 – 20 Orlando, FL November 21 – 23 Mumbai, India
October 25 – 27 Sao Paulo, Brazil Visit gartner.com/symposium
20
22. Simple steps for increasing the value of today’s webinar
experience
• Visit gartner.com/webinars
• Today’s presentation will be available in 24 hours
• See a Schedule of upcoming Gartner webinars (plus
on-demand webinars) don’t forget to share these
resources with your colleagues
• Contact your Gartner account executive
with any additional questions, comments or for a
complimentary copy of today’s presentation
23. Simple steps for increasing the value of today’s webinar
experience
• Visit gartner.com/webinars
• Today’s presentation will be available in 24 hours
• See a Schedule of upcoming Gartner webinars (plus
on-demand webinars) don’t forget to share these
resources with your colleagues
• Contact your Gartner account executive
with any additional questions, comments or for a
complimentary copy of today’s presentation