Data quality used to be a one-dimensional term: Is your data right? As the data landscape has become more complex and sophisticated, data quality has evolved to require a more holistic approach to encompass much more to ensure trust in data. Integrated data quality, governance, and multi-domain data management provides a more robust single view that data-driven companies require to have more complete confidence in critical business decisions.
Join Chuck Kane, VP of Product Management, Precisely, as he shares use case trends that illustrate how innovation in data management continues to evolve. Topics that you will hear addressed:
Evolving Data Monetization: improve your bottom line with the ability to confidently leverage data as an asset Evolving to a Single View of Data: break down silos, and gain a powerful, comprehensive single view of your organization’s data Evolving Data on the Move: ensure consistent levels of data quality by monitoring data as it moves throughout the business Evolving Operational Value: enrich, fix, and validate data to open the door to new possibilities
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
Data Integrity: The Baseline for InnovationPrecisely
Leveraging technology to achieve innovative and disruptive business outcomes is top of mind for IT Executives. Delivering on that is a strategic balancing act of solving complex data issues that impact overall data integrity, while empowering teams to achieve those goals. Precisely, the global leader in data integrity shares the value of enabling your teams with the ability to access, understand, trust, and add context to data through our data integrity portfolio. With unmatched data expertise, Precisely builds partnerships to manage your technology needs with a unique combination of flexible and modular software, data enrichment, and strategic services.
How to Build Data Governance Programs That Lasts: A Business-First ApproachPrecisely
Data analytics and Artificial Intelligence play an increasingly pivotal role in most modern organizations. To keep those initiatives on track, enterprises must roll out data governance programs to ensure optimal business value. Data governance has become a fundamental element of success, a key to establishing the component of the data integrity framework in any business. The most successful data governance programs use a business-first approach, delivering quick wins and cultivating sustained success throughout the organization. Unfortunately, many organizations neglect to implement such programs until they experience a negative event that highlights the absence of good data governance. That could be a data breach, a breakdown in data quality, or a compliance action that highlights the lack of effective controls. Once that happens, there are several different paths a data governance initiative might take. A typical scenario often plays out this way: The executive team calls for implementation of a company-wide data governance program. The newly-minted data governance team forges ahead, engaging business users throughout the organization and expecting that everyone will be aligned around a common purpose.
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.
Master Data Management - Aligning Data, Process and Governance Precisely
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.
Is Your Data Ready to Drive Your Company's Future?Edgewater
Before investing the time and money to implement a reporting and analytics solution to guide you out of the current economic crisis, make sure that your data is prepared to lead the way.
Join Edgewater Technology for a step-by-step approach to readying your data to support enterprise reporting and analytics applications.
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
Data Integrity: The Baseline for InnovationPrecisely
Leveraging technology to achieve innovative and disruptive business outcomes is top of mind for IT Executives. Delivering on that is a strategic balancing act of solving complex data issues that impact overall data integrity, while empowering teams to achieve those goals. Precisely, the global leader in data integrity shares the value of enabling your teams with the ability to access, understand, trust, and add context to data through our data integrity portfolio. With unmatched data expertise, Precisely builds partnerships to manage your technology needs with a unique combination of flexible and modular software, data enrichment, and strategic services.
How to Build Data Governance Programs That Lasts: A Business-First ApproachPrecisely
Data analytics and Artificial Intelligence play an increasingly pivotal role in most modern organizations. To keep those initiatives on track, enterprises must roll out data governance programs to ensure optimal business value. Data governance has become a fundamental element of success, a key to establishing the component of the data integrity framework in any business. The most successful data governance programs use a business-first approach, delivering quick wins and cultivating sustained success throughout the organization. Unfortunately, many organizations neglect to implement such programs until they experience a negative event that highlights the absence of good data governance. That could be a data breach, a breakdown in data quality, or a compliance action that highlights the lack of effective controls. Once that happens, there are several different paths a data governance initiative might take. A typical scenario often plays out this way: The executive team calls for implementation of a company-wide data governance program. The newly-minted data governance team forges ahead, engaging business users throughout the organization and expecting that everyone will be aligned around a common purpose.
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.
Master Data Management - Aligning Data, Process and Governance Precisely
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.
Is Your Data Ready to Drive Your Company's Future?Edgewater
Before investing the time and money to implement a reporting and analytics solution to guide you out of the current economic crisis, make sure that your data is prepared to lead the way.
Join Edgewater Technology for a step-by-step approach to readying your data to support enterprise reporting and analytics applications.
Data-Ed Webinar: Data Quality Success StoriesDATAVERSITY
Organizations must realize what it means to utilize data quality management in support of business strategy. This webinar will demonstrate how chronic business challenges can often be attributed to the root problem of poor data quality. Showing how data quality should be engineered provides a useful framework in which to develop an effective approach. Establishing this framework allows organizations to more efficiently identify business and data problems caused by structural issues versus practice-oriented defects; giving them the skillset to prevent these problems from re-occurring.
Learning Objectives:
Understanding foundational data quality concepts based on the DAMA DMBOK
Utilizing data quality engineering in support of business strategy
Case Studies illustrating data quality success
Data quality guiding principles & best practices
Steps for improving data quality at your organization
Learn the importance of Data Quality and the six key steps that you can take and put into process to help you realize tangible ROI on your data quality initiative.
Data Integrity: From speed dating to lifelong partnershipPrecisely
Governance has little to do with governance…it’s about delivering and demonstrating value. It’s one thing for your colleagues to intellectually believe in the value of data, good data, and governed data, but it’s another thing entirely to have them emotionally engaged and excited to be involved. In this presentation from the CDO Sit-Down series, Shaun Connolly, Vice President of International Strategic Services, shares his thoughts and experience on approaches to win over reluctant leaders and business teams and describe the key components of successful programs.
Implementar una estrategia eficiente de gobierno y seguridad del dato con la ...Denodo
Watch full webinar here: https://bit.ly/3lSwLyU
En la era de la explosión de la información repartida en distintas fuentes, el gobierno de datos es un componente clave para garantizar la disponibilidad, usabilidad, integridad y seguridad de la información. Asimismo, el conjunto de procesos, roles y políticas que define permite que las organizaciones alcancen sus objetivos asegurando el uso eficiente de sus datos.
La virtualización de datos forma parte de las herramientas estratégica para implementar y optimizar el gobierno de datos. Esta tecnología permite a las empresas crear una visión 360º de sus datos y establecer controles de seguridad y políticas de acceso sobre toda la infraestructura, independientemente del formato o de su ubicación. De ese modo, reúne múltiples fuentes de datos, las hace accesibles desde una sola capa y proporciona capacidades de trazabilidad para supervisar los cambios en los datos.
Le invitamos a participar en este webinar para aprender:
- Cómo acelerar la integración de datos provenientes de fuentes de datos fragmentados en los sistemas internos y externos y obtener una vista integral de la información.
- Cómo activar en toda la empresa una sola capa de acceso a los datos con medidas de protección.
- Cómo la virtualización de datos proporciona los pilares para cumplir con las normativas actuales de protección de datos mediante auditoría, catálogo y seguridad de datos.
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.
Data governance and data quality are often described as two sides of the same coin. Data governance provides a data framework relevant to business needs, and data quality provides visibility into the health of the data. If you only have a data governance tool, you’re missing half the picture.
Trillium Discovery seamlessly integrates with Collibra for a complete, closed-loop data governance solution. Build your data quality rules in Collibra, and they are automatically passed to Trillium for data quality processing. The data quality results and metrics are then passed back to Collibra – allowing data stewards and business users to see the health of the data right within their Collibra dashboard.
View this webinar on-demand to see how you can leverage this integration in your organization to readily build, apply, and execute business rules based on data governance policies within Collibra.
Data Governance That Drives the Bottom LinePrecisely
The financial services sector is investing heavily in data governance solutions to find, understand and trust customer data, while also managing compliance risk around an ever-evolving regulatory landscape more effectively.
But do you still find it difficult to get management support for data governance budgets? Do you have the tools you need to determine the “business cost of data” accurately? Can you show the CFO an ROI projection he can count on? Are you able to answer, “Will I see results on the top line or the bottom line?” Are your business line leaders able to identify areas that are losing money due to data problems?
If you answered no to any of these questions, join Precisely in our upcoming webinar that will focus on how Financial Services companies can monetize the return on investment for data governance and how to relate it to business results that every senior leader understands.
Join this on-demand webinar to learn about:
- How to select data initiatives based on corporate goals and strategy
- How to connect the dots from data challenges (quality, availability, accuracy, currency) to specific business metrics around
- How to quantify the data contribution to improving business performance around
- How to leverage metadata and linage to get a 360-degree understanding of your data
- How to evaluate data assets by assigning measures and defining scores.
- How to assign accountability to assets and processes
- How to define and execute the workflows needed to implement corrective actions
- How to highlight the benefits of data governance
Leveraging Data in Financial Services to Meet Regulatory Requirements and Cre...Perficient, Inc.
Regulators have increased their scrutiny on the financial services industry in recent years and have levied fines against banks of all sizes – fines that have reached into the billions of dollars.
Because of this, the financial services industry is focusing considerable time and expense on capturing data to meet regulatory requirements in reporting, risk management, and compliance. Gathering, enhancing, and reporting the required data from multiple applications to meet regulatory demands is a significant challenge, and firms often address these data challenges as one-off projects with the objective of complying with a single regulation rather than improving risk management overall. Mergers and acquisitions further complicate these efforts by increasing the number of systems that information needs to be pulled from.
Meanwhile, revenue-generating exercises that could benefit from the availability of better client and market information often go unfunded due to an over-arching focus on regulatory compliance.
Rather than structure your data project as a tactical approach to meet regulatory requirements, learn how your data investment can drive true cost savings, fine avoidance, revenue creation, and competitive advantage.
This event promises:
• An experienced point of view on current regulatory, compliance and anti-money laundering issues that financial institutions are facing.
• Pros and cons of tactical versus strategic approaches to meeting regulatory requirements, specifically around data governance,
• Examples of how you can leverage data governance to drive compliance as well as competitive advantage.
From Compliance to Customer 360: Winning with Data Quality & Data GovernancePrecisely
Winning football teams will dominate opponents both defensively and offensively. Similarly, the most successful businesses will best utilize enterprise data for effective “defense” (e.g., compliance, such as GDPR and CCAR) as well as “offense” (increased customer engagement and revenue).
View our on-demand webcast and discover how integrated data quality and data governance tools help you confidently achieve regulatory compliance, as well as revenue-building initiatives requiring a 360-degree view of your customers.
Data management experts Ian Rowlands, Product Marketing Manager of ASG and Harald Smith, Director, Product Management of Trillium Software discusses how Trillium Software for data quality, integrated with ASG’s Enterprise Data Intelligence solution, helps you pinpoint where data quality impacts your business, ensuring your enterprise data can be trusted to drive regulatory compliance as well as better business decisions.
View this on-demand webcast to learn how to:
• Improve data quality by leveraging data lineage maps
• Gain insight into where data quality gaps may exist, which may impact regulatory compliance and customer engagement initiatives
• Understand how changes may affect critical data elements and data quality
¿En qué se parece el Gobierno del Dato a un parque de atracciones?Denodo
Watch full webinar here: https://bit.ly/3Ab9gYq
Imagina llegar a un parque de atracciones con tu familia y comenzar tu día sin el típico plano que te permitirá planificarte para saber qué espectáculos ver, a qué atracciones ir, donde pueden o no pueden montar los niños… Posiblemente, no podrás sacar el máximo partido a tu día y te habrás perdido muchas cosas. Hay personas que les gusta ir a la aventura e ir descubriendo poco a poco, pero cuando hablamos de negocios, ir a la aventura puede ser fatídico...
En la era de la explosión de la información repartida en distintas fuentes, el gobierno de datos es clave para garantizar la disponibilidad, usabilidad, integridad y seguridad de esa información. Asimismo, el conjunto de procesos, roles y políticas que define permite que las organizaciones alcancen sus objetivos asegurando el uso eficiente de sus datos.
La virtualización de datos, herramienta estratégica para implementar y optimizar el gobierno del dato, permite a las empresas crear una visión 360º de sus datos y establecer controles de seguridad y políticas de acceso sobre toda la infraestructura, independientemente del formato o de su ubicación. De ese modo, reúne múltiples fuentes de datos, las hace accesibles desde una sola capa y proporciona capacidades de trazabilidad para supervisar los cambios en los datos.
En este webinar aprenderás a:
- Acelerar la integración de datos provenientes de fuentes de datos fragmentados en los sistemas internos y externos y obtener una vista integral de la información.
- Activar en toda la empresa una sola capa de acceso a los datos con medidas de protección.
- Cómo la virtualización de datos proporciona los pilares para cumplir con las normativas actuales de protección de datos mediante auditoría, catálogo y seguridad de datos.
What is Data Governance and why it’s crucial for PropTechPrecisely
Customer, client, supplier, internal, private, third-party data…
The amount of data available to real estate companies is truly outstanding! With the push of digitization and the changes Covid demands of real estate, businesses want to put high-quality data into the hands of the people who use it to do their jobs.
That means organizations must build processes that define who owns what data, how it can be used, how to maintain it meaningful to their business, and how to make it consumable by everybody in the organization, not just the data experts.
Data governance is no longer a choice in this data-filled, fast-moving space.
Join us to learn about:
What is Data GovernanceHow to manage, improve and control the quality of the dataHow to empower a common understanding of data through your organization
Data governance involves setting up procedures and regulations to enable the smooth sharing, managing, and availability of data.
The idea is to prevent an overlap of resources. When you have data governance procedures you experience faster decision-making processes while moving data from just a company’s by-product to a critical asset within the organization. Check out this and know how to build a strong Governance framework for your organization
Achieving a Single View of Business – Critical Data with Master Data ManagementDATAVERSITY
Organizations today are critically reliant on data. However, as enterprise applications accumulate—often through digital transformation initiatives, new product launches, or mergers and acquisitions—business-critical data becomes increasingly siloed. As a result, organizations struggle to gain a complete view of customers, products, business partners, or other data domains scattered across legacy systems, cloud, databases, and spreadsheets—typically featuring unique ways of defining, modeling, and recording master data. Working with a network of vendors and suppliers, each with their own array of applications and data systems, only complicates the picture further. All of which inhibits an organization’s ability to realize value from their data. Master Data Management (MDM) allows organizations to consolidate data from multiple sources to create a single source of truth that provides a holistic view of enterprise-wide information. Join this webinar to discover how multi-domain MDM can eliminate the guesswork and uncertainty that results from data gaps and inconsistencies, paving the way for new, powerful insights through cross-domain intelligence.
Topics covered will include:
- Following a proven method to define and execute a data harmonization strategy that’s directly aligned with business objectives and outcomes
- Establishing a ‘contextually relevant’ golden record of consistent, valid, and accurate data across domains, applications, and services
- Creating linked relationships between data domains and surfacing up analytics on different data types to provide context and enable more informed decision-making
- Ensuring that your data governance strategy both complements and supports your data harmonization and consolidation approach
- Managing all administrative, stewardship, and governance functions across domains from a single user interface
- Allowing various user personas to utilize data and collaborate effectively with structured operating models that are ‘fit for purpose’
- Ultimately achieving a single view of critical data and related data elements that is easy to navigate
Linking Data Governance to Business GoalsPrecisely
The importance of data to businesses has increased exponentially over recent years as companies seek benefits such as gains in efficiency, the ability to respond to growing privacy regulations scale quickly and increased and increase customer loyalty.
Despite being a vital part of any Data Transformation, Data Governance has sometimes been misrepresented as a restrictive and controlling process leaving governance leaders having to continually make the case for business buy-in.
In this on-demand webinar we will explore the concept of business-first Data Governance, an approach that promotes adoption by the organisation, lays the foundation for data integrity and consistently delivers business value in the long term.
Capturing Data Relationships to Develop Meaningful Customer EngagementPrecisely
In an omnichannel world, organizations struggle to gain complete, 360-degree views of engagement with current and potential customers. Organizations are digitally transforming business processes and customers’ engagement preferences are changing due to upheavals such as the coronavirus pandemic, so traditional data management cannot deliver a complete view. To get anywhere close, organizations have to spend valuable time and resources knitting together numerous data silos and dealing with complicated replication and redundant data preparation. They must lean on specialists who can code and model routines that should be part of data management.
It’s time to tap innovations in data management such as graph databases and geolocation intelligence to gain faster, easier, and more complete views of customer engagement. Organizations need to reduce friction in how they find, connect, and share customer data points, and they need to evaluate how nontraditional data management can help.
Join this TDWI Webinar to learn how you can take advantage of innovations to drive smarter personalization, targeted marketing across channels, and more satisfying customer engagement.
Topics to be discussed include:
- Common pain points organizations are facing in trying to gain 360-degree views of customer engagement and how to overcome them with innovative data management
- Graph databases: how they can improve views of data relationships, enhance customer analytics, and take burdens off data scientists, analysts, and users
- Important trends in unifying data about customers and their behavior, including graph databases, geolocation intelligence, master data management, and semantic data integration
- Governance, security, and customer data privacy: how graph databases and related innovations can help
AI-Ready Data - The Key to Transforming Projects into Production.pptxPrecisely
Moving AI projects from the laboratory to production requires careful consideration of data preparation. Join us for a fireside chat where industry experts, including Antonio Cotroneo (Director, Product Marketing, Precisely) and Sanjeev Mohan (Principal, SanjMo), will discuss the crucial role of AI-ready data in achieving success in AI projects. Gain essential insights and considerations to ensure your AI solutions are built on a solid foundation of accurate, consistent, and context-rich data. Explore practical insights and learn how data integrity drives innovation and competitive advantage. Transform your approach to AI with a focus on data readiness.
Building a Multi-Layered Defense for Your IBM i SecurityPrecisely
In today's challenging security environment, new vulnerabilities emerge daily, leaving even patched systems exposed. While IBM works tirelessly to release fixes as they discover vulnerabilities, bad actors are constantly innovating. Don't settle for reactive defense – secure your IT with a layered approach!
This holistic strategy builds multiple security walls, making it far harder for attackers to breach your defenses. Even if a certain vulnerability is exploited, one of the controls could stop the attack or at least delay it until you can take action.
Join us for this webcast to hear about:
• How security risks continue to evolve and change
• The importance of keeping all your systems patched an up-to-date
• A multi-layered approach to network, system object and data security
More Related Content
Similar to Optimizing Solution Value – Dynamic Data Quality, Governance, and MDM
Data-Ed Webinar: Data Quality Success StoriesDATAVERSITY
Organizations must realize what it means to utilize data quality management in support of business strategy. This webinar will demonstrate how chronic business challenges can often be attributed to the root problem of poor data quality. Showing how data quality should be engineered provides a useful framework in which to develop an effective approach. Establishing this framework allows organizations to more efficiently identify business and data problems caused by structural issues versus practice-oriented defects; giving them the skillset to prevent these problems from re-occurring.
Learning Objectives:
Understanding foundational data quality concepts based on the DAMA DMBOK
Utilizing data quality engineering in support of business strategy
Case Studies illustrating data quality success
Data quality guiding principles & best practices
Steps for improving data quality at your organization
Learn the importance of Data Quality and the six key steps that you can take and put into process to help you realize tangible ROI on your data quality initiative.
Data Integrity: From speed dating to lifelong partnershipPrecisely
Governance has little to do with governance…it’s about delivering and demonstrating value. It’s one thing for your colleagues to intellectually believe in the value of data, good data, and governed data, but it’s another thing entirely to have them emotionally engaged and excited to be involved. In this presentation from the CDO Sit-Down series, Shaun Connolly, Vice President of International Strategic Services, shares his thoughts and experience on approaches to win over reluctant leaders and business teams and describe the key components of successful programs.
Implementar una estrategia eficiente de gobierno y seguridad del dato con la ...Denodo
Watch full webinar here: https://bit.ly/3lSwLyU
En la era de la explosión de la información repartida en distintas fuentes, el gobierno de datos es un componente clave para garantizar la disponibilidad, usabilidad, integridad y seguridad de la información. Asimismo, el conjunto de procesos, roles y políticas que define permite que las organizaciones alcancen sus objetivos asegurando el uso eficiente de sus datos.
La virtualización de datos forma parte de las herramientas estratégica para implementar y optimizar el gobierno de datos. Esta tecnología permite a las empresas crear una visión 360º de sus datos y establecer controles de seguridad y políticas de acceso sobre toda la infraestructura, independientemente del formato o de su ubicación. De ese modo, reúne múltiples fuentes de datos, las hace accesibles desde una sola capa y proporciona capacidades de trazabilidad para supervisar los cambios en los datos.
Le invitamos a participar en este webinar para aprender:
- Cómo acelerar la integración de datos provenientes de fuentes de datos fragmentados en los sistemas internos y externos y obtener una vista integral de la información.
- Cómo activar en toda la empresa una sola capa de acceso a los datos con medidas de protección.
- Cómo la virtualización de datos proporciona los pilares para cumplir con las normativas actuales de protección de datos mediante auditoría, catálogo y seguridad de datos.
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.
Data governance and data quality are often described as two sides of the same coin. Data governance provides a data framework relevant to business needs, and data quality provides visibility into the health of the data. If you only have a data governance tool, you’re missing half the picture.
Trillium Discovery seamlessly integrates with Collibra for a complete, closed-loop data governance solution. Build your data quality rules in Collibra, and they are automatically passed to Trillium for data quality processing. The data quality results and metrics are then passed back to Collibra – allowing data stewards and business users to see the health of the data right within their Collibra dashboard.
View this webinar on-demand to see how you can leverage this integration in your organization to readily build, apply, and execute business rules based on data governance policies within Collibra.
Data Governance That Drives the Bottom LinePrecisely
The financial services sector is investing heavily in data governance solutions to find, understand and trust customer data, while also managing compliance risk around an ever-evolving regulatory landscape more effectively.
But do you still find it difficult to get management support for data governance budgets? Do you have the tools you need to determine the “business cost of data” accurately? Can you show the CFO an ROI projection he can count on? Are you able to answer, “Will I see results on the top line or the bottom line?” Are your business line leaders able to identify areas that are losing money due to data problems?
If you answered no to any of these questions, join Precisely in our upcoming webinar that will focus on how Financial Services companies can monetize the return on investment for data governance and how to relate it to business results that every senior leader understands.
Join this on-demand webinar to learn about:
- How to select data initiatives based on corporate goals and strategy
- How to connect the dots from data challenges (quality, availability, accuracy, currency) to specific business metrics around
- How to quantify the data contribution to improving business performance around
- How to leverage metadata and linage to get a 360-degree understanding of your data
- How to evaluate data assets by assigning measures and defining scores.
- How to assign accountability to assets and processes
- How to define and execute the workflows needed to implement corrective actions
- How to highlight the benefits of data governance
Leveraging Data in Financial Services to Meet Regulatory Requirements and Cre...Perficient, Inc.
Regulators have increased their scrutiny on the financial services industry in recent years and have levied fines against banks of all sizes – fines that have reached into the billions of dollars.
Because of this, the financial services industry is focusing considerable time and expense on capturing data to meet regulatory requirements in reporting, risk management, and compliance. Gathering, enhancing, and reporting the required data from multiple applications to meet regulatory demands is a significant challenge, and firms often address these data challenges as one-off projects with the objective of complying with a single regulation rather than improving risk management overall. Mergers and acquisitions further complicate these efforts by increasing the number of systems that information needs to be pulled from.
Meanwhile, revenue-generating exercises that could benefit from the availability of better client and market information often go unfunded due to an over-arching focus on regulatory compliance.
Rather than structure your data project as a tactical approach to meet regulatory requirements, learn how your data investment can drive true cost savings, fine avoidance, revenue creation, and competitive advantage.
This event promises:
• An experienced point of view on current regulatory, compliance and anti-money laundering issues that financial institutions are facing.
• Pros and cons of tactical versus strategic approaches to meeting regulatory requirements, specifically around data governance,
• Examples of how you can leverage data governance to drive compliance as well as competitive advantage.
From Compliance to Customer 360: Winning with Data Quality & Data GovernancePrecisely
Winning football teams will dominate opponents both defensively and offensively. Similarly, the most successful businesses will best utilize enterprise data for effective “defense” (e.g., compliance, such as GDPR and CCAR) as well as “offense” (increased customer engagement and revenue).
View our on-demand webcast and discover how integrated data quality and data governance tools help you confidently achieve regulatory compliance, as well as revenue-building initiatives requiring a 360-degree view of your customers.
Data management experts Ian Rowlands, Product Marketing Manager of ASG and Harald Smith, Director, Product Management of Trillium Software discusses how Trillium Software for data quality, integrated with ASG’s Enterprise Data Intelligence solution, helps you pinpoint where data quality impacts your business, ensuring your enterprise data can be trusted to drive regulatory compliance as well as better business decisions.
View this on-demand webcast to learn how to:
• Improve data quality by leveraging data lineage maps
• Gain insight into where data quality gaps may exist, which may impact regulatory compliance and customer engagement initiatives
• Understand how changes may affect critical data elements and data quality
¿En qué se parece el Gobierno del Dato a un parque de atracciones?Denodo
Watch full webinar here: https://bit.ly/3Ab9gYq
Imagina llegar a un parque de atracciones con tu familia y comenzar tu día sin el típico plano que te permitirá planificarte para saber qué espectáculos ver, a qué atracciones ir, donde pueden o no pueden montar los niños… Posiblemente, no podrás sacar el máximo partido a tu día y te habrás perdido muchas cosas. Hay personas que les gusta ir a la aventura e ir descubriendo poco a poco, pero cuando hablamos de negocios, ir a la aventura puede ser fatídico...
En la era de la explosión de la información repartida en distintas fuentes, el gobierno de datos es clave para garantizar la disponibilidad, usabilidad, integridad y seguridad de esa información. Asimismo, el conjunto de procesos, roles y políticas que define permite que las organizaciones alcancen sus objetivos asegurando el uso eficiente de sus datos.
La virtualización de datos, herramienta estratégica para implementar y optimizar el gobierno del dato, permite a las empresas crear una visión 360º de sus datos y establecer controles de seguridad y políticas de acceso sobre toda la infraestructura, independientemente del formato o de su ubicación. De ese modo, reúne múltiples fuentes de datos, las hace accesibles desde una sola capa y proporciona capacidades de trazabilidad para supervisar los cambios en los datos.
En este webinar aprenderás a:
- Acelerar la integración de datos provenientes de fuentes de datos fragmentados en los sistemas internos y externos y obtener una vista integral de la información.
- Activar en toda la empresa una sola capa de acceso a los datos con medidas de protección.
- Cómo la virtualización de datos proporciona los pilares para cumplir con las normativas actuales de protección de datos mediante auditoría, catálogo y seguridad de datos.
What is Data Governance and why it’s crucial for PropTechPrecisely
Customer, client, supplier, internal, private, third-party data…
The amount of data available to real estate companies is truly outstanding! With the push of digitization and the changes Covid demands of real estate, businesses want to put high-quality data into the hands of the people who use it to do their jobs.
That means organizations must build processes that define who owns what data, how it can be used, how to maintain it meaningful to their business, and how to make it consumable by everybody in the organization, not just the data experts.
Data governance is no longer a choice in this data-filled, fast-moving space.
Join us to learn about:
What is Data GovernanceHow to manage, improve and control the quality of the dataHow to empower a common understanding of data through your organization
Data governance involves setting up procedures and regulations to enable the smooth sharing, managing, and availability of data.
The idea is to prevent an overlap of resources. When you have data governance procedures you experience faster decision-making processes while moving data from just a company’s by-product to a critical asset within the organization. Check out this and know how to build a strong Governance framework for your organization
Achieving a Single View of Business – Critical Data with Master Data ManagementDATAVERSITY
Organizations today are critically reliant on data. However, as enterprise applications accumulate—often through digital transformation initiatives, new product launches, or mergers and acquisitions—business-critical data becomes increasingly siloed. As a result, organizations struggle to gain a complete view of customers, products, business partners, or other data domains scattered across legacy systems, cloud, databases, and spreadsheets—typically featuring unique ways of defining, modeling, and recording master data. Working with a network of vendors and suppliers, each with their own array of applications and data systems, only complicates the picture further. All of which inhibits an organization’s ability to realize value from their data. Master Data Management (MDM) allows organizations to consolidate data from multiple sources to create a single source of truth that provides a holistic view of enterprise-wide information. Join this webinar to discover how multi-domain MDM can eliminate the guesswork and uncertainty that results from data gaps and inconsistencies, paving the way for new, powerful insights through cross-domain intelligence.
Topics covered will include:
- Following a proven method to define and execute a data harmonization strategy that’s directly aligned with business objectives and outcomes
- Establishing a ‘contextually relevant’ golden record of consistent, valid, and accurate data across domains, applications, and services
- Creating linked relationships between data domains and surfacing up analytics on different data types to provide context and enable more informed decision-making
- Ensuring that your data governance strategy both complements and supports your data harmonization and consolidation approach
- Managing all administrative, stewardship, and governance functions across domains from a single user interface
- Allowing various user personas to utilize data and collaborate effectively with structured operating models that are ‘fit for purpose’
- Ultimately achieving a single view of critical data and related data elements that is easy to navigate
Linking Data Governance to Business GoalsPrecisely
The importance of data to businesses has increased exponentially over recent years as companies seek benefits such as gains in efficiency, the ability to respond to growing privacy regulations scale quickly and increased and increase customer loyalty.
Despite being a vital part of any Data Transformation, Data Governance has sometimes been misrepresented as a restrictive and controlling process leaving governance leaders having to continually make the case for business buy-in.
In this on-demand webinar we will explore the concept of business-first Data Governance, an approach that promotes adoption by the organisation, lays the foundation for data integrity and consistently delivers business value in the long term.
Capturing Data Relationships to Develop Meaningful Customer EngagementPrecisely
In an omnichannel world, organizations struggle to gain complete, 360-degree views of engagement with current and potential customers. Organizations are digitally transforming business processes and customers’ engagement preferences are changing due to upheavals such as the coronavirus pandemic, so traditional data management cannot deliver a complete view. To get anywhere close, organizations have to spend valuable time and resources knitting together numerous data silos and dealing with complicated replication and redundant data preparation. They must lean on specialists who can code and model routines that should be part of data management.
It’s time to tap innovations in data management such as graph databases and geolocation intelligence to gain faster, easier, and more complete views of customer engagement. Organizations need to reduce friction in how they find, connect, and share customer data points, and they need to evaluate how nontraditional data management can help.
Join this TDWI Webinar to learn how you can take advantage of innovations to drive smarter personalization, targeted marketing across channels, and more satisfying customer engagement.
Topics to be discussed include:
- Common pain points organizations are facing in trying to gain 360-degree views of customer engagement and how to overcome them with innovative data management
- Graph databases: how they can improve views of data relationships, enhance customer analytics, and take burdens off data scientists, analysts, and users
- Important trends in unifying data about customers and their behavior, including graph databases, geolocation intelligence, master data management, and semantic data integration
- Governance, security, and customer data privacy: how graph databases and related innovations can help
Similar to Optimizing Solution Value – Dynamic Data Quality, Governance, and MDM (20)
AI-Ready Data - The Key to Transforming Projects into Production.pptxPrecisely
Moving AI projects from the laboratory to production requires careful consideration of data preparation. Join us for a fireside chat where industry experts, including Antonio Cotroneo (Director, Product Marketing, Precisely) and Sanjeev Mohan (Principal, SanjMo), will discuss the crucial role of AI-ready data in achieving success in AI projects. Gain essential insights and considerations to ensure your AI solutions are built on a solid foundation of accurate, consistent, and context-rich data. Explore practical insights and learn how data integrity drives innovation and competitive advantage. Transform your approach to AI with a focus on data readiness.
Building a Multi-Layered Defense for Your IBM i SecurityPrecisely
In today's challenging security environment, new vulnerabilities emerge daily, leaving even patched systems exposed. While IBM works tirelessly to release fixes as they discover vulnerabilities, bad actors are constantly innovating. Don't settle for reactive defense – secure your IT with a layered approach!
This holistic strategy builds multiple security walls, making it far harder for attackers to breach your defenses. Even if a certain vulnerability is exploited, one of the controls could stop the attack or at least delay it until you can take action.
Join us for this webcast to hear about:
• How security risks continue to evolve and change
• The importance of keeping all your systems patched an up-to-date
• A multi-layered approach to network, system object and data security
Navigating the Cloud: Best Practices for Successful MigrationPrecisely
In today's digital landscape, migrating workloads and applications to the cloud has become imperative for businesses seeking scalability, flexibility, and efficiency. However, executing a seamless transition requires strategic planning and careful execution. Join us as we delve into the insightful insights around cloud migration, where we will explore three key topics:
i. Considerations to take when planning for cloud migration
ii. Best practices for successfully migrating to the cloud
iii. Real-world customer stories
Unlocking the Power of Your IBM i and Z Security Data with Google ChroniclePrecisely
In today's ever-evolving threat landscape, any siloed systems, or data leave organizations vulnerable. This is especially true when mission-critical systems like IBM i and IBM Z mainframes are not included in your security planning. Valuable security data from these systems often remains isolated, hindering your ability to detect and respond to threats effectively.
Ironstream and bridge this gap for IBM systems by integrating the important security data from these mission-critical systems into Google Chronicle where it can be seen, analyzed and correlated with the data from other enterprise systems Here's what you'll learn:
• The unique challenges of securing IBM i and Z mainframes
• Why traditional security tools fall short for mainframe data
• The power of Google Chronicle for unified security intelligence
• How to gain comprehensive visibility into your entire IT ecosystem
• Real-world use cases for integrating IBM i and Z security data with Google Chronicle
Join us for this webcast to hear about:
• The unique challenges of securing IBM i and IBM Z systems
• Real-world use cases for integrating IBM i and IBM Z security data with Google Chronicle
• Combining Ironstream and Google Chronicle to deliver faster threat detection, investigation, and response times
Unlocking the Potential of the Cloud for IBM Power SystemsPrecisely
Are you considering leveraging the cloud alongside your existing IBM AIX and IBM I systems infrastructure? There are likely benefits to be realized in scalability, flexibility and even cost.
However, to realize these benefits, you need to be aware of the challenges and opportunities that come with integrating your IBM Power Systems in the cloud. These challenges range from data synchronization to testing to planning for fallback in the event of problems.
Join us for this webcast to hear about:
• Seamless migration strategies
• Best practices for operating in the cloud
• Benefits of cloud-based HA/DR for IBM AIX and IBM i
It can be challenging display and share capacity data that is meaningful to end users. There is an overabundance of data points related to capacity, and the summarization of this data is difficult to construct and display.
You are already spending time and money to handle the critical need to manage systems capacity, performance and estimate future needs. Are you it spending wisely? Are you getting the level of results from your investment that you really need? Can you prove it?
The good news is that the return on investment of implementing capacity management and capacity planning is most definitely positive and provable, both in terms of tangible monetary value and in some less tangible but no-less-valuable benefits.
Join us for this webinar and learn:
• Top Trends in Capacity Management
• Common customer pain points
• Ways to demonstrate these benefits to your company
Automate Studio Training: Materials Maintenance Tips for Efficiency and Ease ...Precisely
Ready to improve efficiency, provide easy to use data automations and take materials master (MM) data maintenance to the next level?
Find out how during our Automate Studio training on March 28 – led by Sigrid Kok, Principal Sales Engineer, and Isra Azam, Sales Engineer, at Precisely.
This session’s for you if you want to discover the best approaches for creating, extending or maintaining different types of materials, as well as automating the tricky parts of these processes that slow you down.
Greater control over your Automate Studio business processes means bigger, better results. We’ll show you how to enable your business users to interact with SAP from Microsoft Office and other familiar platforms – resulting in more efficient SAP data management, along with improved data integrity and accuracy.
This 90-minute session will be filled with a variety of topics, including:
real world approaches for creating multiple types of materials, balancing flexibility and power with simplicity and ease of use
tips on material creation, including
downloading the generated material number
using formulas to format prior to upload, such as capitalization or zero padding to make it easy to get the data right the first time
conditionally require fields based on other field entries
using LOV for fields that are free form entry for standard values
tips on modifying alternate units of measure, building from scratch using GUI scripting
modify multiple language descriptions, build from scratch using a standard BAPI
make end-to-end MM process flows more of a reality with features including APIs and predictive AI
Through these topics, you’ll gain plenty of actionable takeaways that you can start implementing right away – including how to:
improve your data integrity and accuracy
make scripts flexible and usable for automation users
seamlessly handle both simple and complex parts of material master
interact with SAP from both business user and script developers’ perspectives
easily upload and download data between SAP and Excel – and how to format the data before upload using simple formulas
You’ll leave this session feeling ready and empowered to save time, boost efficiency, and change the way you work.
Automate Studio reduces your dependency on technical resources to help you create automation scenarios – and our team of experts is here to make sure you get the most out of our solution throughout the journey.
Questions? Sigrid & Isra will be ready to answer them during a live Q&A at the end of the session.
Who should attend:
Attendees who will get the most out of this session are Automate Studio developers and runners familiar with SAP MM. Knowledge of Automate Studio script creation is nice to have, but not required.
Leveraging Mainframe Data in Near Real Time to Unleash Innovation With Cloud:...Precisely
Join us for an insightful roundtable discussion featuring experts from AWS, Confluent, and Precisely as they delve into the complexities and opportunities of migrating mainframe data to the cloud.
In this engaging webinar, participants will learn about the various considerations, strategies, and customer challenges associated with replicating mainframe data to cloud environments.
Our panelists will share practical insights, real-world experiences, and best practices to help organizations successfully navigate this transformative journey.
Whether you're considering migrating and modernizing your mainframe applications to cloud, or augmenting mainframe-based applications with data replication to cloud, this roundtable will provide valuable perspectives and insights to maximize the benefits of migrating mainframe data to the cloud.
Join us on March 27 to gain a deeper understanding of the opportunities and challenges in this evolving landscape.
Data Innovation Summit: Data Integrity TrendsPrecisely
Data integrity remains an evolving process of discovery, identification, and resolution. With an all-time low in public confidence on data being used for decision-making, attention has gradually shifted to data quality and data integration across multiple systems and frameworks. Data integrity becomes a focal point again for companies to make strategic moves in a world facing an evolving economy.
Key takeaways:
· How to build a data-driven culture within your organization
· Tips to engage with key stakeholders in your business and examples from other businesses around the world
· How to establish and maintain a business-first approach to data governance
· A summary of the findings from a recent survey of global data executives by Drexel University's LeBow College of Business
AI You Can Trust - Ensuring Success with Data Integrity WebinarPrecisely
Artificial Intelligence (AI) has become a strategic imperative in a rapidly evolving business landscape. However, the rush to embrace AI comes with risks, as illustrated by instances of AI-generated content with fake citations and potentially dangerous recommendations. The critical factor underpinning trustworthy AI is data integrity, ensuring data is accurate, consistent, and full of rich context.
Attend our upcoming webinar, "AI You Can Trust: Ensuring Success with Data Integrity," as we explore organizational challenges in maintaining data integrity for AI applications and real-world use cases showcasing the transformative impact of high-integrity data on AI success.
During this panel discussion, we'll highlight everything from personalized recommendations and AI-powered workflows to machine learning applications and innovative AI assistants.
Key Topics:
AI Use Cases with Data Integrity: Discover how data integrity shapes the success of AI applications through six compelling use cases.
Solving AI Challenges: Uncover practical solutions to common AI challenges such as bias, unreliable results, lack of contextual relevance, and inadequate data security.
Three Considerations of Data Integrity for AI: Learn the essential pillars—complete, trusted, and contextual—that underpin data integrity for AI success.
Precisely and AWS Partnership: Explore how the collaboration between Precisely and Amazon Web Services (AWS) addresses these challenges and empowers organizations to achieve AI-ready data.
Join our panelists to unlock the full potential of AI by starting your data integrity journey today. Trust in AI begins with trusted data – let's future-proof your AI together.
Less Bias. More Accurate. Relevant Outcomes.
Optimisez la fonction financière en automatisant vos processus SAPPrecisely
La fonction finance est au cœur du succès de l’entreprise, et doit aussi évoluer pour faire face aux enjeux d’aujourd’hui : aller plus vite, traiter plus d’informations et assurer une qualité des données sans faille.
Nous vous proposons de découvrir ensemble comment répondre à ces défis, notamment les points suivants :
Gérer les référentiels comptables et financiers, comptes comptables, clients, fournisseurs, centres de couts, centres de profits…Accélérer les clôtures et permettre de passer les écritures comptables nécessaires, de lancer les rapports adéquats et d’extraire les informations en temps réelOrganiser les taches en les affectant de manière ordonnancée à leurs responsables ou en les lançant automatiquement et les suivre de manière granulaire
Notre webinaire sera l’occasion d’évoquer et d’illustrer cette palette de capacités disponibles pour des utilisateurs métier sans code ou avec peu de code et nous vous espérons nombreux.
In dieser Präsentation diskutieren wir, welche Tools aus unserer Sicht dabei helfen, die Transformation zu SAP S/4HANA optimal zu gestalten. Aber wir blicken auch nach vorne!
In unserem Beitrag fokussieren wir uns nicht nur auf kurzfristige Lösungen, sondern es geht auch um das Thema „Nachhaltigkeit“. Um Investitionen für die Zukunft.
Dazu gehören Entwicklungen, die die SAP Welt nachhaltig verändern werden.
Wir betrachten zukünftige Technologien, wie KI oder Machine Learning, die dazu beitragen, datenintensive SAP Prozesse zu optimieren, die Datenqualität zu verbessern, manuelle Prozesse zu reduzieren und Mitarbeiter zu entlasten.
Werfen Sie mit uns einen Blick in die Zukunft und gestalten Sie die digitale Transformation in Ihrem Unternehmen mit.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
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
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.
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/
Welocme to ViralQR, your best QR code generator.ViralQR
Welcome to ViralQR, your best QR code generator available on the market!
At ViralQR, we design static and dynamic QR codes. Our mission is to make business operations easier and customer engagement more powerful through the use of QR technology. Be it a small-scale business or a huge enterprise, our easy-to-use platform provides multiple choices that can be tailored according to your company's branding and marketing strategies.
Our Vision
We are here to make the process of creating QR codes easy and smooth, thus enhancing customer interaction and making business more fluid. We very strongly believe in the ability of QR codes to change the world for businesses in their interaction with customers and are set on making that technology accessible and usable far and wide.
Our Achievements
Ever since its inception, we have successfully served many clients by offering QR codes in their marketing, service delivery, and collection of feedback across various industries. Our platform has been recognized for its ease of use and amazing features, which helped a business to make QR codes.
Our Services
At ViralQR, here is a comprehensive suite of services that caters to your very needs:
Static QR Codes: Create free static QR codes. These QR codes are able to store significant information such as URLs, vCards, plain text, emails and SMS, Wi-Fi credentials, and Bitcoin addresses.
Dynamic QR codes: These also have all the advanced features but are subscription-based. They can directly link to PDF files, images, micro-landing pages, social accounts, review forms, business pages, and applications. In addition, they can be branded with CTAs, frames, patterns, colors, and logos to enhance your branding.
Pricing and Packages
Additionally, there is a 14-day free offer to ViralQR, which is an exceptional opportunity for new users to take a feel of this platform. One can easily subscribe from there and experience the full dynamic of using QR codes. The subscription plans are not only meant for business; they are priced very flexibly so that literally every business could afford to benefit from our service.
Why choose us?
ViralQR will provide services for marketing, advertising, catering, retail, and the like. The QR codes can be posted on fliers, packaging, merchandise, and banners, as well as to substitute for cash and cards in a restaurant or coffee shop. With QR codes integrated into your business, improve customer engagement and streamline operations.
Comprehensive Analytics
Subscribers of ViralQR receive detailed analytics and tracking tools in light of having a view of the core values of QR code performance. Our analytics dashboard shows aggregate views and unique views, as well as detailed information about each impression, including time, device, browser, and estimated location by city and country.
So, thank you for choosing ViralQR; we have an offer of nothing but the best in terms of QR code services to meet business diversity!
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
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.
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.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
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.
2. 2
Optimizing Solution Value – Dynamic Data
Quality, Governance, and MDM
Chuck Kane
Vice President, Product
Management
Sue Pawlak
Senior Manager, Product
Marketing
3. Exploding need for trusted data
83% of CEOs
want their
organization to be
more data-driven
Digital transformation
investments to
top $6.8 trillion
globally by 2023
68% of Fortune 1000
businesses now
have CDOs – up 6x
in the last decade
Global data
infrastructure spending
expected to reach
$200 billion this year
Data is the fuel for decision-making today
3
IDC IDC Gartner Forbes
5. Challenges
Decision-making takes too long
Lack of visibility and alignment
around strategic direction and
execution
Top talent and subject matter
experts are not always involved
Sub-optimal business decisions
impacting revenue, costs, and risks
5
6. Evolved approach: Business Value Focus
6
Robust Data
Quality
Trusted
MDM
Integrated
Data
Governance
Business
Value
8. Data Quality + Data Governance
KEY FINDING*
Improving data quality is the leading benefit organizations
receive from their data governance programs, an added
value that contributes to a range of critical business benefits.
8
Improved data quality is the
leading benefit derived from
data governance programs.
How has your data governance
program added value to the
organization?
(n=449)
66%
Improved data quality
56%
Higher quality of data analytics and insights
52%
Facilitated collaboration
50%
Faster access to relevant data
49%
Increased regulatory compliance
* Data Professionals Speak: Trends in Data Governance & Data Quality, 2021
9. CHALLENGE
Improving Data Maturity Enterprise-wide
Needed tooling to drive a data
governance program that builds data
maturity, quality, and trust for advanced
analysis and decision-making.
SOLUTION
Data Governance, Data Catalog, Data
Quality, and Strategic Services. Early
Access Data Observability to expand
investment value.
BUSINESS VALUE
Greater analytic efficiencies and ability to
leverage larger data volumes with more
granular insights into data meaning,
accuracy, and relationships.
Strengthening the long-term financial
position of over $170B assets under
management.
Independently managed
public sector wealth
management fund
9
10. ESG stands for Environmental, Social
and Governance, and refers to the
three key factors when measuring the
sustainability and ethical impact of an
investment in a business or company.
World leading consumer
product manufacturing
company
Market Business News
CHALLENGE
Greater visibility around ESG metrics for
actionable business improvements
Data strategy called for a unified data
platform that provides data quality and a
data catalog that would deliver a
business-friendly experience across their
ecosystem.
SOLUTION
Data Governance, Data Catalog, Data
Quality, Strategic, and Implementation
Services.
BUSINESS VALUE
Pro-active business evaluation and
reporting around key environmental (ESG)
metrics including greenhouse gas
emissions.
10
12. Advanced insights from single view of data
12
Applying analytical capability
to create insight
Customer-centric
Insights
Explore Data
Predict
Optimize Interactions
Sales, Billing, Customer
center, Support, etc
Single View of Individual
+ relationships
+ all interactions
Transactional Information
with Business Applications
Interactions Information
from Social Media
Sales, Billing,
Customer Center, support, etc
Anonymous Web &
Mobile Interactions
Single View of
Individual Relationships Products and
services purchased
Household relationships
Organizational relationships
Social network
Location relationships
Single View
of Individual*
* Individual could be a profile, non-
profile or corporate customer
Data integration
Data cleansing
(data quality)
Data supplementation
(Reference data)
Data enrichment
(geocoding)
Complete View of
Individual Interactions
13. CHALLENGE
Single View: Merchant
• Unlock the value of siloed data to drive
critical business decisions
• Inability to understand merchants
• Inability to enrich their data-dependent
either on an entity or on a specific
location
SOLUTION
• Enterprise Data Quality with single view
capabilities
• Location Intelligence for location-based
enrichment
• Ability to support both on-premise and
cloud scalability
BUSINESS VALUE
• Collect and understand the enterprise
data
• Transform data assets into a solid
foundation supporting business
decisions
• Unlock key insights to enable further
sales/growth
Multinational financial global pioneer in
payment innovation and technology
connecting billions of consumers,
issuers, merchants, governments, and
businesses.
Large Multinational
Financial Services
Corporation
13
14. CHALLENGE
Master Data Management + Data Quality
MDM is vital to oil well operations. With
plans to invest $20B in deep water assets,
their legacy MDM was inadequate:
• Data domains weren’t linked together
• Managed critical data in multiple systems
• Day-to-day operations required IT
support
• Integrating across systems was inefficient
SOLUTION
A data hub to establish a single source of
truth across data domains, with advanced
data quality capabilities to ensure
completeness and accuracy.
BUSINESS VALUE
• Creating a golden record for master data—including vendor, location,
equipment, customer, and material
• Enriching and exporting data across systems to ensure data quality and
reduce costly downtime
• Enabling integrations across multiple source systems, both on-prem and SaaS
One of the world’s largest energy
providers and chemical manufacturers
with a global workforce exceeding
60,000
Multinational Oil &
Gas Company
14
16. Data on the Move
Data transformation &
modernization projects
System to system/Application to
application reconciliation
Merger & acquisition processes
System A System B System C
16
17. CHALLENGE
Data Modernization
The financial claims division initiated a
data modernization project to more
effectively leverage their data. They
anticipated that they would need solutions
to:
• Improve the data quality
• Balance and reconcile diverse and large
data loads
SOLUTION
• Out-of-the-box exception workflow
capability was a deciding factor in the
data quality tool selection in order to
meet implementation deadlines.
• Customer was able to avoid a second
tool selection process when they
discovered that the selected data
quality solution includes robust
reconciliation capabilities.
BUSINESS VALUE
• Modernize data streams in support of
administration system modernization
efforts.
• Provide more and better data for
Corporate reporting and analytics.
Regional Property & Casualty
Insurance Company
Mutual insurance company that
provides life, home, car, and business
insurance to over 3 million policyholders
within 26 operating states.
17
18. CHALLENGE
Data in Motion
Existing claims process resulted in missing,
late and duplicate claims. This resulted in
significant compliance fines.
SOLUTION
Precisely solutions enabled the insurer to
monitor 100% of claims across all systems
and interfaces and eliminate manual
reconciliation processes.
BUSINESS VALUE
Customer wanted to reduce compliance
risk and was able to reduce compliance
fines to $0.
State-based health insurance plan with
a diverse set of offerings serving
400,000 members.
Mid-Sized Health
Insurance Company
18
21. CHALLENGE
Advanced cloud-native data quality
Difficulties in standardizing data quality
validations across systems and
departments. Needed the ability to
visualize a variety of data quality results
including checks on critical business data
and validation & standardization of
addresses and names.
SOLUTION
Cloud native data quality solution with
built-in visualization and exception
management that can be standardized
across the organization.
BUSINESS VALUE
• Enable business users to understand the
state of data quality on key business data.
• Application of address standardization as
part of the enterprise standard.
• Ability to route specific types of issues to
users to investigate and resolve.
National health and wellness enterprise
that employs more than 35,000 people
and serves 40 million Americans in 50
states.
Large Health
Insurance Company
21
22. CHALLENGE
Advanced MDM + Data Quality
• Data inconsistencies across systems
• Inefficient business processes, redundant
data entry, and inability to keep track of
data flow
• Difficulties tracking and auditing data
changes
• Inability to allow vendors to self-manage
data
SOLUTION
Single system to manage multiple data
domains and streamline workflows, with
advanced address validation and
geolocation intelligence.
BUSINESS VALUE
• Creating a single source of truth for product,
customer, vendor, location, and employee data
• Enabling vendors to import product data
• Enriching data and exporting to downstream
systems to improve data quality for all users
and reduce costly errors
National manufacturer and supplier of
professional-grade building products
and services with 26,000 employees
and 550 locations across 40 states.
Fortune 500
Manufacturer & Supplier
22
23. Benefits of
an evolved
approach
Optimized business decisions
Accelerated time to value
Clear alignment around strategic
direction and execution
Improved engagement of top talent
on strategic and innovative initiatives
23
24. The Data Integrity Approach
Modernize your
infrastructure for the
cloud, eliminate data
siloes, and automate
business processes
Build data governance
and quality into your
data-centric processes
to ensure accuracy
and consistency
Leverage the location
information inherent in
your data for more
sophisticated analytics
and actionable insights
Complement your core
business data with
expertly curated datasets
to add critical context
and increase value
Create seamless,
personalized
and omnichannel
communications
on any medium, anytime
Integrate Verify Locate Enrich Engage
24
Chuck
Thank you Jason and thank you the audience to attending today’s session. We have a lot to cover, but we hope its engaging and informative.
Organizations rely on trusted data to make good business decisions. As they drive towards being a more data driven there are some trends in the key business initiatives that revolve around transforming customer experiences, applying AI to proven business cases to derive new insights and increase efficiency, leveraging the power of location to solve new problems, and ensuring that the business is secure and compliant.
Each of these initiatives is heavily dependent upon integrated, clean, accurate, contextualized, enriched data in order to deliver the maximum benefit to the organization
CUE to Advance:
=============================================================================
Story points ---
Businesses rely on trusted data to make good business decisions.
Key business initiatives in 2022 revolve around transforming customer experiences, applying AI to proven business cases to derive new insights and increase efficiency, leveraging the power of location to solve new problems (optional light call out to covid-19 problems being solved), and ensuring that the business is secure and compliant.
Each of these initiatives is heavily dependent upon integrated, clean, accurate, contextualized, enriched data in order to deliver the maximum benefit to the organization
Chuck
Historically data problems were addressed by point solutions that solved specific data challenges. These types of solutions addressed data quality, master data or data governance, sometimes together, but often times in isolation or only in pockets within an organization.
The main issue with point solutions consists of the following areas:
Don’t always work well together
Work in silos and will not deliver the complete and accurate picture
quality, understanding, context is limited
CUE to Advance:
=================================================================================================================
Story Points
Historically data challenges were address by point solutions that solved specific data challenges. Specifically, these solutions addressed data problems directly like data quality, master data, data governance.
Unfortunately point solutions have limitations
Why point solutions are not sustainable
Don’t always work well together
Work in silos and lack of access will not always deliver the complete and accurate picture
Lack of visibility around data sets – quality, understanding, context is limited
Chuck
Each organization has data that should be a positive earning asset to support increased revenue, accurate decisions, and alignment around strategic initiatives.
But too often, we see that not having a fully integrated data quality, master data, and data governance programs leads to challenges where money is left on the table, the costs are too high to achieve results, and decisions are made that do not fully align to the business initiatives.
CUE to Advance:
Story Point:
In summary, challenge of solutions that are not deeply evolved include
Negative impact around revenue, costs, and risks
Lack of alignment around the business goals
Time it takes to find, aggregate, cleanse and enrich data takes too long
Lack of collaboration with subject matter experts and data stewards
Story Point: THIS IS A BUILD SLIDE
The focus has evolved to where it belongs – On the business value, not on the solving a specific data problem
Evolution also takes into account how to augment and extend to support future needs
This session will cover different business goals that we have seen that are driving the evolution of data quality and data governance in today’s environment
CHUCK: Jay Reilly, our VP in the Precisely Gateway is going to talk about evolving Data Monetization:
Jay: Thank you Chuck
Data driven organizations increasingly are seeking to leverage their own data as an asset to generate measurable economic benefits – or monetize their data. What we are hearing from our customers is that data quality deeply integrated with data governance works together to enable their business to understand and trust their data for confident decision making, operational improvements, and taking action to prevent – and even leverage regulatory requirements – to improve their bottom line.
Jay Reilly: Tell the story in your own words: Emphasize business value
Jay Reilly: Tell the story in your own words. Emphasize business value
When you are done, Chuck will jump in and introduce Todd
Chuck: Our next section will address the evolution of achieving a single view of data….
Chuck: I don’t have to coach you on this slide, but we do want to tie how a Single View of Data links to Business Value(your outer ring, right?)
Questions:
Beverly, in your experience, what is the business value of a single view of data?
How/Why is it important
Chuck: Tell the story in your own words. Be sure to highlight business value
(Julie) Master Card
https://www.mastercardservices.com/en/reports-insights/video/data-services-overview
https://syncsortinc.sharepoint.com/ContentHub/Win%20Wires%20Library/Forms/AllItems.aspx?id=%2FContentHub%2FWin%20Wires%20Library%2FWIN%5FMastercard%5FE%5F201020%2Epdf&parent=%2FContentHub%2FWin%20Wires%20Library
Chuck: Tell the story in your own words. Be sure to highlight business value
Chuck: Let me introduce Jeff Brown, Director of Product Management that will talk about evolving data on the move
Jeff: Thanks Chuck and thank you to Todd and Beverly for sharing your insights! Another way we are witnessing the evolution of data quality and data governance is through the recognition of the importance of data on the move. Data on the move is really any type of data that is really any data that is not considered to be in its final data destination. This is basically transitory data that is moving through multiple locations or from one format to another.
[CUE] Lets take a look deeper at examples of how organizations are evolving their data on the move.
Jeff: Data on the move includes a number of different key business initiatives. From data transformation/modernization projects where data is moving from legacy, on prem and/or third party sources to the cloud or other destinations to realize greater business value. This also includes any data that may be altered while hopping from source to another. This could be moving data from a mainframe to the cloud via Kafka or even APIs/web services.
It also includes any movement of data related to mergers & acquisitions initiatives which demand accurate and consistent mapping and transition of data to quickly capitalize on the business value of the M&A.
And finally, data on the move includes simply monitoring and observing data quality and anomalies as it moves across your organization between systems and processes to ensure quality and consistency. This includes monitoring from system A-B, system B-C, and even system A-C.
[CUE] Next, we will walk through two customer use cases to learn more about data on the move.
Jeff: Auto-Owners is a regional property and casualty insurance company that provides life, home, car, and business insurance. They serve over 3 million policy holders in 26 operating states.
The challenge that they faced was within their financial claims division related to data modernization and movement to a large data warehouse. Their main goals were to A) improve the quality of their data and B) balance and reconcile their diverse and large data loads.
Their main drivers were to modernize their data streams in support of their administration system modernization and to provide more accurate and reliable data for corporate reporting and analytics.
The part of our solution that was a deciding factor for Auto-Owners was having an OOTB workflow within the tool which helped them get the right identified data to the right stakeholders to fix.
Another great outcome of the solution was that initially they had created two RFIs to help with two separate projects: one for data quality and one for reconciliation. After reviewing our solution, they determined that our tool was able to satisfy both use cases for data quality and reconciliation and they were able to consolidate the vendor selection by using our solution.
[CUE] Lets continue to dive into another use case, this time in the
Jeff: This mid-sized health insurance non-for-profit company serves over 400,000 members for their state.
The challenge that they faced was that their existing claims process resulted missing, late, and duplicate claims that ultimately led to several compliance fines. This was even escalated to the CEO who wanted to put in place the proper monitoring and validations to ensure this would not happen again.
Their main drivers were for their business were to reduce compliance risk and to strive for a $0 Compliance Risk Fine environment
As a result of selecting Precisely, this customer was able to provide monitoring of 100% of their claims across all of their systems and interfaces. This gave them better insight into any escalating issues they might have faced by having poor data within their claims process, also drastically reduced the amount of manual reconciliations.
Jeff : I’m going to turn it over to Andrew Chumley, our Principal Product Manager to talk about evolving operational value of data quality
Andrew: Thank you Jeff,
Evolving operational value is defined as a realized value by our clients to solve complex operational picture problems quickly using Precisely technologies. These solutions can take the form of data quality issues as already described or complex data integration and data augmentation to complete the operational picture to close the gap between perception and actionable fact.
Andrew: Full Time:
DataOps is an emerging discipline in many organizations. Clearly Precisely supports this concept and existing data operations by completing the cycles between data fit for use operations and operational demand for a more complete operational picture.
Examples include:
Complex Product interchangeability matrix solutions – what products are compatible with what assets in use in the field.
Customer Demand Recommendations – What products would we recommend not just by social association and buying patterns, but also by known purchased items and compatible/related products.
Supply Chain Management – Consolidate vendor performance metrics and actual demand forecast to rapidly identify supply gaps and top performing vendors.
Physician Association and practice attributes – Building and maintaining over the dimension of time (critical) the association of Physicians – area of specialty, location of practice(ies), association of rights to care facility, distance and drive time estimates, etc.
Compressed:
DataOps is an emerging discipline in many organizations. Clearly Precisely supports this concept and existing data operations by completing the cycles between data fit for use operations and operational demand for a more complete operational picture. As we have discussed, this is supported for traditional data management methods, emerging data integration methods and monetization aspirations.
Next Slide
Andrew: Full Time:
An example of this concept was implemented by a large health care organization, which has an initial business need to validate addresses. Once this addressed data had been enhanced, made trustworthy and integrated into the operational picture, the client recognized the opportunity to bring more data into process and expand the fit for use method to solve many other operational picture gaps.
This included data remediation and management functionality to correct data integrity issues and drive adoption of the data solution by correlation to multiple sets of data into a more complete operational picture. For healthcare providers have data traceability and clear understanding validation & standardization methods that are not black box solutions are critical. The more strategic benefit of the Precisely technology offering is the minimizing of pre-defined taxonomies and data processing methods that force customers to “customize” or adopt non-optimal business processes due to technology frameworks.
Compressed:
An example of this concept was implemented by a large health care organization, which has an initial business need to validate addresses. Once this addressed data had been enhanced, made trustworthy and integrated into the operational picture, the client recognized the opportunity to bring more data into process and expand the fit for use method to solve many other operational picture gaps.
Next Slide
Andrew: Full Time:
Data integration and data quality issues same many of the same characteristics and business impacts, but resolution of the issues can be resolved in several methods. The power that Precisely brings to the solution are a collection of best of breed solutions to meet individual organizational challenges; not forcing the organization to adapt to the one technology offering of a chosen vendor.
To highlight the power of this, we choose a complex data integration business challenge. In this scenario there is not only a multi-source system issue, but also a timeliness issue. This solution incorporates the need for data consistency across systems for the creation of multiple operational pictures to be created in near real-time to prevent data gaps and increase operational awareness across multiple domains. The primary benefit to the client is the focus of fit for use data resolution at the beginning of the operational process subsequent refinement of the data to mirror the operational picture demand throughout the transaction. This is different from a BI driven aggregation of metrics to master elements and data standardization.
These types of solutions are largely driven by the use of configurable, agile and highly integratable; both Precisely branded technologies and existing client side technologies.
Compressed:
Data integration and data quality issues same many of the same characteristics and business impacts, but resolution of the issues can be resolved in several methods. The power that Precisely brings to the solution are a collection of best of breed solutions to meet individual organizational challenges; not forcing the organization to adapt to the one technology offering of a chosen vendor.
Next Slide
Andrew: Now I will turn the discussion back to Chuck Kane to summarize the message. Chuck.
Chuck: Summarize benefits of an evolved approach
Chuck: Today we specifically discussed the evolution of data quality and data governance, core components of our Verify gateway, to build trust in your data. Our Data Integrity Approach enables you to deliver accurate, consistent, contextualized data to your business – wherever and whenever it’s needed.
I think we have some time for questions:
Jason will ask questions if time permits.