The document discusses master data management (MDM). It defines MDM as combining data governance practices with software tools to achieve a single version of the truth across systems. It then lists several market trends driving increased adoption of MDM, including MDM in the cloud, growing MDM software sales, rising information volumes, increased recognition of data's importance, and costs of poor data quality. The document also outlines how MDM can generate value in areas like customer/supplier relationships, engineering productivity, inventory costs, and procurement costs. Finally, it discusses common data issues that MDM can help solve and provides examples of potential solutions.
Give your customers what they want, with SaaS embedded analytics Powered by GoodData. Read this guide to learn why Zendesk says “Advanced analytics are the #1 reason why customers upgrade.” Get a better understanding of:
1. How embedded analytics can help you differentiate in a crowded SaaS market
2. Why Forrester identifies the cloud and analytics as two key drivers of future business applications innovation
3. How you can practice agile revenue development, monetizing the data you already have within your core application
4. The unique benefits of becoming a Powered by GoodData embedded analytics partner
5. How GoodData is driving revenue, retention and relationships for software vendors across operations, martech, health, travel and other sectors
Value Journal, a monthly news journal from Redington Value Distribution, intends to update the channel on the latest vendor news and Redington Value’s Channel Initiatives.
Key stories from the October Edition:
•Freshworks, Redington Gulf partner to bring customer engagement products to MEA region
•Oracle and VMware partner to support customers’ hybrid cloud strategies
•AWS announces general availability of Amazon Quantum Ledger Database
•HPE announces market share, revenue growth in enterprise storage
•Seclore expands SDK platform
•Independent research firm names CrowdStrike a leader in endpoint security
•Barracuda Forensics and Incident Response now generally available
•Bahrain Credit drives digital transformation with Veeam
•Dell Technologies unveils ground-breaking servers, solutions
for Modern Data Centers
•SAS recognized as leader in enterprise marketing software suites
How to Make Wise Post-Production Changes to Oracle Clinical/Remote Data Captu...Perficient, Inc.
It is not uncommon to make changes to a study after subjects have enrolled. If you use Oracle Clinical/Remote Data Capture (OC/RDC) to manage your clinical data, then you know that making those changes can be quite easy. However, even the simplest change could result in unforeseen consequences with the potential to undermine your study. That’s why it’s critical to perform a thorough risk analysis before making any changes.
In this webinar, Perficient’s Tammy Dutkin, director of clinical data management and EDC, discussed the process of evaluating and executing post-production changes in OC/RDC.
Learn from Method360’s Enterprise Information Management practice lead, James Hanck, and EP Energy customer, Chris Josefy as they share lessons learned and best practices in their efforts to improve data quality, performance, and adherence to EP Energy’s capital budget utilization.
Give your customers what they want, with SaaS embedded analytics Powered by GoodData. Read this guide to learn why Zendesk says “Advanced analytics are the #1 reason why customers upgrade.” Get a better understanding of:
1. How embedded analytics can help you differentiate in a crowded SaaS market
2. Why Forrester identifies the cloud and analytics as two key drivers of future business applications innovation
3. How you can practice agile revenue development, monetizing the data you already have within your core application
4. The unique benefits of becoming a Powered by GoodData embedded analytics partner
5. How GoodData is driving revenue, retention and relationships for software vendors across operations, martech, health, travel and other sectors
Value Journal, a monthly news journal from Redington Value Distribution, intends to update the channel on the latest vendor news and Redington Value’s Channel Initiatives.
Key stories from the October Edition:
•Freshworks, Redington Gulf partner to bring customer engagement products to MEA region
•Oracle and VMware partner to support customers’ hybrid cloud strategies
•AWS announces general availability of Amazon Quantum Ledger Database
•HPE announces market share, revenue growth in enterprise storage
•Seclore expands SDK platform
•Independent research firm names CrowdStrike a leader in endpoint security
•Barracuda Forensics and Incident Response now generally available
•Bahrain Credit drives digital transformation with Veeam
•Dell Technologies unveils ground-breaking servers, solutions
for Modern Data Centers
•SAS recognized as leader in enterprise marketing software suites
How to Make Wise Post-Production Changes to Oracle Clinical/Remote Data Captu...Perficient, Inc.
It is not uncommon to make changes to a study after subjects have enrolled. If you use Oracle Clinical/Remote Data Capture (OC/RDC) to manage your clinical data, then you know that making those changes can be quite easy. However, even the simplest change could result in unforeseen consequences with the potential to undermine your study. That’s why it’s critical to perform a thorough risk analysis before making any changes.
In this webinar, Perficient’s Tammy Dutkin, director of clinical data management and EDC, discussed the process of evaluating and executing post-production changes in OC/RDC.
Learn from Method360’s Enterprise Information Management practice lead, James Hanck, and EP Energy customer, Chris Josefy as they share lessons learned and best practices in their efforts to improve data quality, performance, and adherence to EP Energy’s capital budget utilization.
DataOps - Big Data and AI World London - March 2020 - Harvinder AtwalHarvinder Atwal
Title
DataOps, the secret weapon for delivering AI, data science, and business intelligence value at speed.
Synopsis
● According to recent research, just 7.3% of organisations say the state of their data and analytics is excellent, and only 22% of companies are currently seeing a significant return from data science expenditure.
● Poor returns on data & analytics investment are often the result of applying 20th-century thinking to 21st-century challenges and opportunities.
● Modern data science and analytics require secure, efficient processes to turn raw data from multiple sources and in numerous formats into useful inputs to a data product.
● Developing, orchestrating and iterating modern data pipelines is an extremely complex process requiring multiple technologies and skills.
● Other domains have to successfully overcome the challenge of delivering high-quality products at speed in complex environments. DataOps applies proven agile principles, lean thinking and DevOps practices to the development of data products.
● A DataOps approach aligns data producers, analytical data consumers, processes and technology with the rest of the organisation and its goals.
Bridging the Data Divide: Driving Data and Analytics Projects Forward with Tr...Precisely
There’s no debate that data is the most valuable strategic asset available to your business today. According to ‘Voice of the Enterprise: Data Management and Analytics 2020’ by 451 Research, 63% of enterprises use data to drive nearly all or most of their strategic decisions.
Join Amy O’Connor, Precisely Chief Data and Information Officer, and Paige Bartley, 451 Research Senior Research Analyst for Data, AI, and Analytics as Paige shares the latest research on data and analytics drawn from surveys of business and technology decision-makers and chats with Amy about her experience implementing Precisely products to ensure data integrity and fuel the company’s data-driven business model.
View this on-demand webinar to hear Amy and Paige share their perspectives on key points from the research, including how:
• Only 25% of respondents rate more than 80% of their recent data and analytics initiatives as successful
• 78% of those most successful with data and analytics initiatives are using or considering using technologies to accelerate the analysis of distributed data
• 24% of respondents are investing in programs that increase trust in data by improving accuracy, quality, lineage and/or governance to improve their data culture
Kickstart a Data Quality Strategy to Build Trust in DataPrecisely
The success or failure of your data-driven business initiatives relies on your ability to trust your data. But as data volumes grow, it becomes a major challenge to understand, measure, monitor, cleanse, and govern all that data. Join this on-demand session to learn key metrics and steps you can take to kickstart a data quality strategy.
Subscribing to Your Critical Data Supply Chain - Getting Value from True Data...DATAVERSITY
Operational Data Governance is more than a stewardship process for critical Business Assets. As organizations build structure around KPI’s and other critical data, a workflow develops that revolves around the sources and supply chain for that critical data. There can be many aspects to changes and inconsistencies affecting the final results of the supply chain. Inaccurate usage of data can result in audit penalties as well as erroneous report summaries and conclusions.
Is it coming from the correct authoritative source? Has the data been profiled? Has it met it’s threshold?
Gaps in the supply chain from incorrect pathways may lead dead ends or lost sources.
The value of understanding the entire supply chain cannot be overstated. When changes occur at and point, end users can validate that correct business standards, rules and policies have been applied to the critical data within the supply chain. Your organization can rest easy that you are not at risk for exposure due to improper usage, security, and compliance.
Join this webinar to uncover how companies are using data lineage to accomplish data supply chain transparency. You’ll also see the direct value clear data lineage can give to your business and IT landscape today.
How to Implement a Spend Analytics Program Using Machine LearningTamrMarketing
Inaccurate data compromises your ability to negotiate your direct spend with suppliers. Costing your company millions of dollars in savings opportunities and potentially causing damaging delays in your time to market.
See the full presentation: https://resources.tamr.com/spend-analytics-webinar
Data Quality Challenges & Solution Approaches in Yahoo!’s Massive DataDATAVERSITY
Data is Yahoo!'s most strategic assets - from user engagement and insights data to revenue and billing data. Three years ago, Yahoo! invested in a Data Quality program.
By applying industry principles and techniques the Data Quality program has provided proactive and reactive system solutions to Audience data issues and root causes by addressing technical challenges of data quality at scale and engaging and leveraging the rest of the organization in the solution: from product teams all through the data stack (data sourcing, ETL, aggs and analytics) to analysts and sciences teams who consume the data. This methodology is now being scaled to the all data across Yahoo! including Search and Display Advertising.
· Industry certified Hadoop developer with 7+ years of experience in Software Industry and 6 years of hadoop development experience
· Has 3+ yrs experience as Technical Lead .
· Has experience in domains - Retail analytics,Hi-tech,Banking,Telecom and Insurance
· Working experience in HORTONWORKS,MAPR and CLOUDERA distributions
· Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming
· Intermediate expertise in scala programming.
· Strong understanding and hands-on experience in distributed computing frameworks, particularly Apache Hadoop 2.0 (YARN; MR & HDFS) and associated technologies - Hive, Sqoop, , Avro, Flume, Oozie, Zookeeper, Hortonworks Ni-Fi etc.
· Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
· Proficiency in Python Scripting
MLOps - Getting Machine Learning Into ProductionMichael Pearce
Creating autonomy and self-sufficiency by giving people what they need in order to do the things they need to do! What gets in the way, and how can we overcome those barriers? How do we get started quickly, effectively and safely? We'll come together to look at what MLOps entails, some of the tools available and what common MLOps pipelines look like.
3 Strategies to drive more data driven outcomes in financial servicesTamrMarketing
What are the main obstacles in the way of successful digital transformations within large financial organizations?
Read the blog and watch the full webinar here >> https://www.tamr.com/blog/webinar-3-strategies-to-drive-more-data-driven-outcomes-in-financial-services/
Presentation of use cases of Master Data Management for product Data. It presents the five facets of MDM for product Data (MDM for Material, MDM for Lean Managed Services, MDM for Regulated Products, Product Information Management, MDM for “Anything”) and how Talend platform for MDM can adress them
40 ° advises and supports companies and institutions to generate real added value from data and to generate data-driven innovations and new business models. We help to reinvent your business with data. 40 ° is the expert for data driven business transformation
A business-friendly approach to data governance is imperative to engage all users and accommodate diverse business use cases spanning analytics, operational improvements, and compliance requirements. To increase adoption and collaboration, business and technical data users across your organisation need to have a common, agreed-upon, and documented understanding of which data is most important, what it’s called, and where it’s used.
Watch this on-demand webinar, where we 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.
We also look at how Oripharm, one of the dynamic healthcare players in the Nordics and international markets, choose a data governance solution:
• to improve personalisation of products and services
• to achieve accurate and timely credit-risk analysis
• to increase user productivity by improving time-to-insights
• to mitigate risk and facilitate regulatory compliance and reporting
Speakers:
Mikkel Holmgaard - Data Governance Lead, Orifarm
Emily Washington - Sr. Vice President, Product Management, Precisely
The Path to Data and Analytics ModernizationAnalytics8
Learn about the business demands driving modernization, the benefits of doing so, and how to get started.
Can your data and analytics solutions handle today’s challenges?
To stay competitive in today’s market, companies must be able to use their data to make better decisions. However, we are living in a world flooded by data, new technologies, and demands from the business for better and more advanced analytics. Most companies do not have the modern technologies and processes in place to keep up with these growing demands. They need to modernize how they collect, analyze, use, and share their data.
In this webinar, we discuss how you can build modern data and analytics solutions that are future ready, scalable, real-time, high speed, and agile and that can enable better use of data throughout your company.
We cover:
-The business demands and industry shifts that are impacting the need to modernize
-The benefits of data and analytics modernization
-How to approach data and analytics modernization- steps you need to take and how to get it right
-The pillars of modern data management
-Tips for migrating from legacy analytics tools to modern, next-gen platforms
-Lessons learned from companies that have gone through the modernization process
Learn statistics and expert opinions on the state of the market regarding data quality in 2023.
Learn about:
- statistics and expert opinions
- the key focus of data quality in 2023
- the Data Maturity Model
- DevOps for data and CI/CD pipelines
- data validation and ETL testing
- test automation
DataOps - Big Data and AI World London - March 2020 - Harvinder AtwalHarvinder Atwal
Title
DataOps, the secret weapon for delivering AI, data science, and business intelligence value at speed.
Synopsis
● According to recent research, just 7.3% of organisations say the state of their data and analytics is excellent, and only 22% of companies are currently seeing a significant return from data science expenditure.
● Poor returns on data & analytics investment are often the result of applying 20th-century thinking to 21st-century challenges and opportunities.
● Modern data science and analytics require secure, efficient processes to turn raw data from multiple sources and in numerous formats into useful inputs to a data product.
● Developing, orchestrating and iterating modern data pipelines is an extremely complex process requiring multiple technologies and skills.
● Other domains have to successfully overcome the challenge of delivering high-quality products at speed in complex environments. DataOps applies proven agile principles, lean thinking and DevOps practices to the development of data products.
● A DataOps approach aligns data producers, analytical data consumers, processes and technology with the rest of the organisation and its goals.
Bridging the Data Divide: Driving Data and Analytics Projects Forward with Tr...Precisely
There’s no debate that data is the most valuable strategic asset available to your business today. According to ‘Voice of the Enterprise: Data Management and Analytics 2020’ by 451 Research, 63% of enterprises use data to drive nearly all or most of their strategic decisions.
Join Amy O’Connor, Precisely Chief Data and Information Officer, and Paige Bartley, 451 Research Senior Research Analyst for Data, AI, and Analytics as Paige shares the latest research on data and analytics drawn from surveys of business and technology decision-makers and chats with Amy about her experience implementing Precisely products to ensure data integrity and fuel the company’s data-driven business model.
View this on-demand webinar to hear Amy and Paige share their perspectives on key points from the research, including how:
• Only 25% of respondents rate more than 80% of their recent data and analytics initiatives as successful
• 78% of those most successful with data and analytics initiatives are using or considering using technologies to accelerate the analysis of distributed data
• 24% of respondents are investing in programs that increase trust in data by improving accuracy, quality, lineage and/or governance to improve their data culture
Kickstart a Data Quality Strategy to Build Trust in DataPrecisely
The success or failure of your data-driven business initiatives relies on your ability to trust your data. But as data volumes grow, it becomes a major challenge to understand, measure, monitor, cleanse, and govern all that data. Join this on-demand session to learn key metrics and steps you can take to kickstart a data quality strategy.
Subscribing to Your Critical Data Supply Chain - Getting Value from True Data...DATAVERSITY
Operational Data Governance is more than a stewardship process for critical Business Assets. As organizations build structure around KPI’s and other critical data, a workflow develops that revolves around the sources and supply chain for that critical data. There can be many aspects to changes and inconsistencies affecting the final results of the supply chain. Inaccurate usage of data can result in audit penalties as well as erroneous report summaries and conclusions.
Is it coming from the correct authoritative source? Has the data been profiled? Has it met it’s threshold?
Gaps in the supply chain from incorrect pathways may lead dead ends or lost sources.
The value of understanding the entire supply chain cannot be overstated. When changes occur at and point, end users can validate that correct business standards, rules and policies have been applied to the critical data within the supply chain. Your organization can rest easy that you are not at risk for exposure due to improper usage, security, and compliance.
Join this webinar to uncover how companies are using data lineage to accomplish data supply chain transparency. You’ll also see the direct value clear data lineage can give to your business and IT landscape today.
How to Implement a Spend Analytics Program Using Machine LearningTamrMarketing
Inaccurate data compromises your ability to negotiate your direct spend with suppliers. Costing your company millions of dollars in savings opportunities and potentially causing damaging delays in your time to market.
See the full presentation: https://resources.tamr.com/spend-analytics-webinar
Data Quality Challenges & Solution Approaches in Yahoo!’s Massive DataDATAVERSITY
Data is Yahoo!'s most strategic assets - from user engagement and insights data to revenue and billing data. Three years ago, Yahoo! invested in a Data Quality program.
By applying industry principles and techniques the Data Quality program has provided proactive and reactive system solutions to Audience data issues and root causes by addressing technical challenges of data quality at scale and engaging and leveraging the rest of the organization in the solution: from product teams all through the data stack (data sourcing, ETL, aggs and analytics) to analysts and sciences teams who consume the data. This methodology is now being scaled to the all data across Yahoo! including Search and Display Advertising.
· Industry certified Hadoop developer with 7+ years of experience in Software Industry and 6 years of hadoop development experience
· Has 3+ yrs experience as Technical Lead .
· Has experience in domains - Retail analytics,Hi-tech,Banking,Telecom and Insurance
· Working experience in HORTONWORKS,MAPR and CLOUDERA distributions
· Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming
· Intermediate expertise in scala programming.
· Strong understanding and hands-on experience in distributed computing frameworks, particularly Apache Hadoop 2.0 (YARN; MR & HDFS) and associated technologies - Hive, Sqoop, , Avro, Flume, Oozie, Zookeeper, Hortonworks Ni-Fi etc.
· Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
· Proficiency in Python Scripting
MLOps - Getting Machine Learning Into ProductionMichael Pearce
Creating autonomy and self-sufficiency by giving people what they need in order to do the things they need to do! What gets in the way, and how can we overcome those barriers? How do we get started quickly, effectively and safely? We'll come together to look at what MLOps entails, some of the tools available and what common MLOps pipelines look like.
3 Strategies to drive more data driven outcomes in financial servicesTamrMarketing
What are the main obstacles in the way of successful digital transformations within large financial organizations?
Read the blog and watch the full webinar here >> https://www.tamr.com/blog/webinar-3-strategies-to-drive-more-data-driven-outcomes-in-financial-services/
Presentation of use cases of Master Data Management for product Data. It presents the five facets of MDM for product Data (MDM for Material, MDM for Lean Managed Services, MDM for Regulated Products, Product Information Management, MDM for “Anything”) and how Talend platform for MDM can adress them
40 ° advises and supports companies and institutions to generate real added value from data and to generate data-driven innovations and new business models. We help to reinvent your business with data. 40 ° is the expert for data driven business transformation
A business-friendly approach to data governance is imperative to engage all users and accommodate diverse business use cases spanning analytics, operational improvements, and compliance requirements. To increase adoption and collaboration, business and technical data users across your organisation need to have a common, agreed-upon, and documented understanding of which data is most important, what it’s called, and where it’s used.
Watch this on-demand webinar, where we 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.
We also look at how Oripharm, one of the dynamic healthcare players in the Nordics and international markets, choose a data governance solution:
• to improve personalisation of products and services
• to achieve accurate and timely credit-risk analysis
• to increase user productivity by improving time-to-insights
• to mitigate risk and facilitate regulatory compliance and reporting
Speakers:
Mikkel Holmgaard - Data Governance Lead, Orifarm
Emily Washington - Sr. Vice President, Product Management, Precisely
The Path to Data and Analytics ModernizationAnalytics8
Learn about the business demands driving modernization, the benefits of doing so, and how to get started.
Can your data and analytics solutions handle today’s challenges?
To stay competitive in today’s market, companies must be able to use their data to make better decisions. However, we are living in a world flooded by data, new technologies, and demands from the business for better and more advanced analytics. Most companies do not have the modern technologies and processes in place to keep up with these growing demands. They need to modernize how they collect, analyze, use, and share their data.
In this webinar, we discuss how you can build modern data and analytics solutions that are future ready, scalable, real-time, high speed, and agile and that can enable better use of data throughout your company.
We cover:
-The business demands and industry shifts that are impacting the need to modernize
-The benefits of data and analytics modernization
-How to approach data and analytics modernization- steps you need to take and how to get it right
-The pillars of modern data management
-Tips for migrating from legacy analytics tools to modern, next-gen platforms
-Lessons learned from companies that have gone through the modernization process
Learn statistics and expert opinions on the state of the market regarding data quality in 2023.
Learn about:
- statistics and expert opinions
- the key focus of data quality in 2023
- the Data Maturity Model
- DevOps for data and CI/CD pipelines
- data validation and ETL testing
- test automation
Data summit connect fall 2020 - rise of data opsRyan Gross
Data governance teams attempt to apply manual control at various points for consistency and quality of the data. By thinking of our machine learning data pipelines as compilers that convert data into executable functions and leveraging data version control, data governance and engineering teams can engineer the data together, filing bugs against data versions, applying quality control checks to the data compilers, and other activities. This talk illustrates how innovations are poised to drive process and cultural changes to data governance, leading to order-of-magnitude improvements.
Big Data Tools PowerPoint Presentation SlidesSlideTeam
Enhance your audiences knowledge with this well researched complete deck. Showcase all the important features of the deck with perfect visuals. This deck comprises of total of twenty slides with each slide explained in detail. Each template comprises of professional diagrams and layouts. Our professional PowerPoint experts have also included icons, graphs and charts for your convenience. All you have to do is DOWNLOAD the deck. Make changes as per the requirement. Yes, these PPT slides are completely customizable. Edit the colour, text and font size. Add or delete the content from the slide. And leave your audience awestruck with the professionally designed Big Data Tools PowerPoint Presentation Slides complete deck. http://bit.ly/39AwSro
Trying to figure out if embedded analytics are for you?
According to Gartner Research, more than 90% of business leaders view content information as a strategic asset, yet fewer than 10% can quantify its economic value. Read this guide to learn why you should be leveraging an asset you already own--data--to build relationships, increase retention, and drive revenue.
Top 6 technologies SME manufacturers can't afford to ignoreIndex InfoTech
Manufacturers today are looking for innovative ways to differentiate themselves in the competitive global marketplace. Understanding customers’ needs in great detail is essential to positioning their company ahead of the competition.
One way to gain this understanding is to implement an enterprise resource planning (ERP) solution. ERP solutions consolidate business operations enhancing your businesses ability to be agile. Not only do these systems deliver on technology that you can boast about over coffee with a colleague, the business advantages are the ability to streamline your organization’s processes to
reduce waste, improve throughput, and ultimately meet your customer’s value stream; improving odds for continued business in the future.
Turning Big Data Analytics To Knowledge PowerPoint Presentation SlidesSlideTeam
This complete deck covers various topics and highlights important concepts. It has PPT slides which cater to your business needs. This complete deck presentation emphasizes Turning Big Data Analytics To Knowledge PowerPoint Presentation Slides and has templates with professional background images and relevant content. This deck consists of total of twenty two slides. Our designers have created customizable templates, keeping your convenience in mind. You can edit the colour, text and font size with ease. Not just this, you can also add or delete the content if needed. Get access to this fully editable complete presentation by clicking the download button below. http://bit.ly/2HHUsqf
How to Drive Better Business Insights with Strong Data GovernanceMatt Dillon
Learn why leading CMOs and CEOs are making data governance and data integration a top priority for driving revenue growth and improving profitability.
Your data is one of the most important assets you have as a business but are you taking the necessary steps to manage your data with care?
Are you using your data to improve the customer experience and make better business decisions?
Webinar includes:
- Creating a centre of excellence
- Establishing data standardization
- Developing application management plans
- Release management
- Incorporating data & systems integration strategies
- Data cleansing essentials
Calculating the ROI on investing in data products?
Analytics return $13.01 for every dollar spent, according to Nucleus Research. That’s a 13:1 ROI for you, and for your customers when you offer embedded analytics in your SaaS solution. Check out this guide to learn more about the benefits of buying vs. building, and how GoodData customers like Influitive and Demandbase are achieving upwards of 650% ROI.
Big Data, Big Thinking: Untapped OpportunitiesSAP Technology
In this webinar factsheet, SAP’s Rohit Nagarajan and Suni Verma from Ernst & Young explore Big Data in India, adoption patterns across the globe, and how you can embark on your own Big Data journey.
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.
Product-thinking is making a big impact in the data world with the rise of Data Products, Data Product Managers, data mesh, and treating “Data as a Product.” But Honest, No-BS: What is a Data Product? And what key questions should we ask ourselves while developing them? Tim Gasper (VP of Product, data.world), will walk through the Data Product ABCs as a way to make treating data as a product way simpler: Accountability, Boundaries, Contracts and Expectations, Downstream Consumers, and Explicit Knowledge.
Having developed itself as a saas head in office productivity and CRM tools, infox offers a number of data analytics platform gearing for both professional
data scientists and mid level staffers who need a self service option. The application has an instictive drag and drop interface and also a
classic spreadsheet interface. infox Analytics is geared for organization that need to give actionable data analytics insight to staffers at every stage.
Having developed itself as a saas head in office productivity and CRM tools, infox offers a number of data analytics platform gearing for both professional
data scientists and mid level staffers who need a self service option. The application has an instictive drag and drop interface and also a
classic spreadsheet interface. infox Analytics is geared for organization that need to give actionable data analytics insight to staffers at every stage.
Having developed itself as a saas head in office productivity and CRM tools, infox offers a number of data analytics platform gearing for both professional
data scientists and mid level staffers who need a self service option. The application has an instictive drag and drop interface and also a
classic spreadsheet interface. infox Analytics is geared for organization that need to give actionable data analytics insight to staffers at every stage.
http://www.infoxtechnologies.com/technologies.html
Topics including: The transformative value of real-time data and analytics, and current barriers to adoption. The importance of an end-to-end solution for data-in-motion that includes ingestion, processing, and serving. Apache Kudu’s role in simplifying real-time architectures.
How can we use LangChain for Data Analysis_ A Detailed Perspective.pdfBluebash
In this Blog, we’ll dig deep into how you can use LangChain to build your own agent and automate your data analysis. We’ll also show you a step-by-step guide to building a LangChain agent by using a built-in pandas agent.
Big Data Tools: A Deep Dive into Essential ToolsFredReynolds2
Today, practically every firm uses big data to gain a competitive advantage in the market. With this in mind, freely available big data tools for analysis and processing are a cost-effective and beneficial choice for enterprises. Hadoop is the sector’s leading open-source initiative and big data tidal roller. Moreover, this is not the final chapter! Numerous other businesses pursue Hadoop’s free and open-source path.
Similar to Sergio Juarez, Elemica – “From Big Data to Value: The Power of Master Data Management” (20)
Discover the difference between the Outside-In Supply Chain and the Inside-Out Supply. Use these principles to better your company, reach goals, and respond in real time.
Discover how Data trends can enable you to make better decisions. Learn how to use data to optimize your reporting, supply chain, and automated solutions.
Past vs Future Digital Transformation of the Supply ChainElemica
Digital supply chain technologies have been historically used to improve service levels and reduce cost. But there is untapped potential. What are the opportunities for strategic investment? What should you expect the future to hold when transformation takes place? Where should I begin?
When discussing video marketing with colleagues in my arena - Business Networks, B2B Software, Supply Chain - I'm often posed a question like - "I totally understand how videos help sell consumer goods or light weight business apps, but I'm not sure they work in our space. Why do you spend time doing them?"
The inter-enterprise commerce of global industrial manufacturers benefit from next-gen technologies, enabling faster and better decision making. Real-time information delivers smarter choices by uncovering clues and patterns that lead to more profitable outcomes.
There are many different drivers and obstacles to building and running a Supply Chain Center of Excellence. If done correctly. the organization rates itself as more aligned, proactive and agile. Success can only happen when there is a supportive culture. The goal of this infographic is to help supply chain leaders beat the odds.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
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.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
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.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Knowledge engineering: from people to machines and back
Sergio Juarez, Elemica – “From Big Data to Value: The Power of Master Data Management”
1. From Big Data
to Value
The Power of Master
Data Management 2.0
Sergio Juarez
SVP Elemica EMEA & LATAM
Reveal Oct 2014
2. Why
Now?
What
To
Do?
How
To
Do
It?
What’s
Next?
Agenda
Master Data Management
3. Today’s Topic
3
Defini6on
Master
Data
Management
(MDM)
combines
Data
Governance
Prac6ces
with
SoCware
Tools
in
an
effort
to
help
organiza6ons
achieve
a
"single
version
of
the
truth"
of
informa6on
across
systems
and
business
units.
5. Market Trends
5
1. MDM
in
the
Cloud:
“On-‐premises
MDM
solu6ons
are
increasingly
integrated
with
soCware-‐as-‐a-‐service
applica6ons,
and
we
see
MDM
technology
star6ng
to
be
deployed
in
the
cloud
for
line-‐of-‐business
purposes
and
specific
business
ini6a6ves.”
Source:
John
Radcliffe,
Research
Vice
President
at
Gartner
1. MDM
in
the
Cloud
2. Maturing
SoCware
&
Technology:
The
sales
of
MDM
soCware
grows
at
21%
annually
es6mated
to
an
$
2,8
bn
in
2014.
Source:
Gartner
1. MDM
in
the
Cloud
2. Maturing
SoCware
&
Technology
3. Rise
of
Informa6on
Flow:
Worldwide
informa6on
volume
is
growing
at
a
minimum
rate
of
59
percent
annually
Sources:
Gartner
&
The
Data
Management
Associa6on
(DAMA)
1. MDM
in
the
Cloud
2. Maturing
SoCware
&
Technology
3. Rise
of
Informa6on
Flow
4. Acknowledgement
of
the
Importance
of
Data:
By
2015,
25%
of
large
global
organiza6ons
will
have
appointed
Chief
Data
Officers
(CDO):
as
Big
Data
is
changing
the
way
organiza6ons
do
business
there
is
both
opportunity
and
risk
in
informa6on.
Source:
Debra
Logan,
Research
Vice
President
at
Gartner
1. MDM
in
the
Cloud
2. Maturing
SoCware
&
Technology
3. Rise
of
Informa6on
Flow
4. Acknowledgement
of
the
Importance
of
Data
5. Costs
of
Data
Pollu6on:
Approximately
15-‐25%
of
opera6ng
expense
of
almost
all
organiza6ons
are
wasted
due
to
data
quality
issues.
Source:
The
Data
Management
Associa6on
(DAMA)
1. MDM
in
the
Cloud
2. Maturing
SoCware
&
Technology
3. Rise
of
Informa6on
Flow
4. Acknowledgement
of
the
Importance
of
Data
5. Costs
of
Data
Pollu6on
6. Corporate
Data
Silos:
Data
is
the
lifeblood
of
every
digital
organiza6on,
but
businesses
are
struggling
to
access,
share,
and
analyze
much
of
the
data
they
already
have.
Through
2015,
85%
of
Fortune
500
organiza6ons
will
be
unable
to
exploit
Big
Data
for
compe66ve
advantage.
Source:
Gartner
7. Value Enablers
7
Supply
of
Goods
&
Services
Supplier
Mgt
Strategy
Development
Governance
&
Organisa6onal
Development
Category
Planning
Sourcing
IT
People
DATA
Managing the Enablers
Supply
Planning
&
Control
Demand
Mgt
V
a
l
u
e
€
1
3
4
Policies
&
Processes
lock
in
Value
Years
Sourcing
&
Procurement
Value
Genera9on
Supply
Chain
Organiza9onal
Pyramid
Demand
Data
Insight
Enables
Value
Sourcing
Creates
Value
eSourcing
Accelerates
Value
These Enablers are prerequisites for success…
Sourcing won’t create value without Demand Data Insight.
eProcurement
Sustains
Value
8. Many Value Areas of
Improved Master Data
8
Your
Customers
and
Suppliers:
“The
use
of
industry
standard
classifica6ons
makes
us
all
speaking
the
same
language
which
allows
instant
recogni6on
of
parts
and
services,
eg
for
price
quota6ons.”
Your
Engineers:
“Our
produc6vity
went
up
with
15%
due
to
the
increased
accuracy
and
availability
of
parts,
while
we
managed
to
reduce
down
6me
with
2%!”
“Our
Inventory
Costs
went
down
by
an
average
8%
as
we
improved
stock
insight,
removed
dead
stock
and
duplicates.”
Your
Procurement:
“We
managed
to
bring
costs
down
as
we
improved
on
Demand
Insight,
product
descrip6ons
to
tender
with,
alterna6ve
products
for
lower
costs
or
higher
quality,
and
we
easily
iden6fy
suppliers
to
buy
from!”
Your
Stores
Manager:
10. Common Data Issues
Iden6fied,
verified
and
amended
Duplicated
Items
1
Standardized
Automa6on
Inconsistent
Naming
Conven6ons
3
Include
different
dic6onaries
and
language
packs
Different
Languages
across
mul6ple
Regions
4
Linking
(meta)
data
enriches
and
classifies
available
data
Poor
or
Non
Existent
Part
Descrip6ons
5
Cleansed
Data
can
be
fed
back
into
your
ERP
(SAP,
Oracle
etc)
Different
copies
of
Master
Data
6
Common
DATA
ISSUES
Poten9al
SOLUTIONS
Replace
with
Technical
Data
or
use
bemer
wording/defini6ons
Descrip6ons
include
Commercial
Data
or
don’t
fit
audience
2
10
11. How to Organize?
ERP
Add on
Tool with
connector
11
With
this
func6onality
your
data
goes
through
a
process
to
become
more:
1. Complete:
Required
amributes
are
available
for
all
needs
and
users,
including
suppliers,
engineers,
foreign
countries.
2. Consistent:
Naming
conven6ons
are
applied
consistently.
3. Conformed:
Industry
standards
and
classifica6ons
are
applied
correctly.
4. Accurate:
Data
free
of
typo’s
and
misleading
abbrevia6ons.
The
Data
Cleansing
Tool
is
connected
to
your
ERP
and
brings
the
new
func6onality.
On-
or Offline
Knowledge
updates
12. Initial Cleansing Process
Product
Iden9fica9on
1
2
3
4
Standardiza9on
&
Enrichment
Language
Transla9on
Duplicate
Removal
1. Interpret
Data;
including
Abbrevia6ons,
Typos
etc
2. Match
Parameters
3. Score
Outcome
as
to
Funnel
Manual
Workforce
to
Problem
Areas
1. Enrich
Data
with
External
Sources
like
Supplier
Catalogues
2. Apply
Naming
Conven6ons
3. Replace
Commercial
Data
with
Technical
Data
4. Classify
to
Deepest
Category
of
Various
Standards
5. Separate
Vendors
from
Manufacturers
1. Recode
Fields
for
different
Target
Groups
like
Suppliers,
Engineers,
Procurement
2. Transla6on
into
Different
Languages
12
1. Iden6fica6on
of
Duplicate
Parts
2. Iden6fica6on
of
Similar
Parts
eg
OE
vs
Commodity,
or
Single
Items
vs
Kits
3. Insight
on
Volumes
for
Duplicate
Parts,
Stock
Value
and
Store
Loca6ons
14. Next Steps
14
1. Get
Your
Priori6es
Straight:
Focus
on:
• Short
Term
vs
Long
Term?
• Manual
vs
Automated
Cleansing?
• Outsourced
vs
in-‐house?
• Category
Items
vs
All
Supply
Chain
Items?
• Reduce
Pain
Points
vs
Increase
Value
Areas?
Value
Streams
As
is
Time
line
THINK
BIG
start
small
Scale
Fast
To
be
1. Get
Your
Priori6es
Straight
2. Scope
the
Ini6a6ve:
• Which
Categories
And
Geographical
Loca6ons
Are
In
Scope?
• Which
Languages
And
Classifica6on
Standards
To
Implement?
• Which
Domain
Strategy
Shall
Be
Considered?
• Which
Tools
And
Processes
Are
Affected?
1. Get
Your
Priori6es
Straight
2. Scope
the
Ini6a6ve
3. Assess
Opportunity:
Experience
shows
the
following
metrics
could
be
achieved:
KPI
Potential
Savings
Typical
Savings
Inventory
cost
reduction
5-‐15%
8%
Procurement
cost
reduction
2-‐10%
5%
Equipment
downtime
reduction
2-‐5%
3%
Supply
chain
&
storage
cost
reduction
8-‐12%
10%
Increased
procurement
&
engineering
worker
productivity
8-‐20%
15%
Reduced
Accounting
Compliance
Risk
2-‐5%
3%
1. Get
your
priori6es
straight
2. Scope
the
Ini6a6ve
3. Assess
Opportunity
4. Select
&
Implement
For
today
you
can:
a) Request
a
Demo
to
Elemica
b) Amend
the
Breakout
Session
‘Inside
view
on
Master
Data
mgt
Tooling’