Do You Trust Your Machine Learning Outcomes? Precisely
How to improve trust in advanced analytics, AI, and machine learning
With the volume, velocity, and variety of data coming into the enterprise, IT teams are turning to artificial intelligence and machine learning to improve the efficiency and accuracy of their data management processes. But if you have underlying data integrity challenges, and you’re using that faulty data to train your machine learning algorithms, your machine learning is now fueled by faulty data. How does that impact your business decisions?
View this on-demand webinar with Dr. Tendü Yoğurtçu, Precisely CTO, for this informative discussion where she will examine various use cases for machine learning and advanced analytics. We will also explore the root causes of data integrity challenges, including:
- Poor data quality
- Data silos
- Lack of context that enriches the understanding of your data
Are You Prepared For The Future Of Data Technologies?Dell World
We are increasingly coming upon an age where technology is a strong enabler of business success, where there are strong synergies between business strategy and technology strategy. You often cannot discuss business strategy without data and related technologies being a big part of it. And as such, business leaders are increasingly turning to IT to compete more effectively in the market. As IT management, it falls upon you to ensure that your data technology architecture (software & hardware) is built in a way that it can handle the business demands of today and in to the future. In this session, we will discuss the various big data technology architectures and associated tools, and what role each should play in your data environment. We will also give real life examples of how others are using these technologies. Build a better data architecture, to unlock the power of all data.
Enable Better Decision Making with Power BI Visualizations & Modern Data EstateCCG
Self-service BI empowers users to reach analytic outputs through data visualizations and reporting tools. Solution Architect and Cloud Solution Specialist, James McAuliffe, will be taking you through a journey of Azure's Modern Data Estate.
(Data) Integrity Matters: Four Ways You Can Build Trust in Your DataPrecisely
According to the Harvard Business Review, 47% of newly created data records have at least one critical error. For many organizations, the ability to trust their data seems almost impossible. Data lives in silos, is stale, unstandardized, full of duplicates, incomplete, or lacking in the insights required to make it truly valuable.
That’s why focusing on achieving data integrity – data with maximum accuracy, consistency, and context – drives better, faster, more confident decisions for your business.
During this on-demand webinar, you will learn how Precisely defines data integrity and how we can help you:
• Effectively integrate data from multiple data sources like mainframes, relational databases, or enterprise data warehouses into next-generation platforms
• Improve the quality of your data by making sure your data is complete, verified, and validated
• Incorporate third-party data to provide location, business, or demographic context
• Turn data into actionable insights using location – a straight-forward way to organize, manage, enrich, and analyze business data
ServiceNow + Precisely: Getting Business Value and Visibility from Mainframe ...Precisely
Your team has a huge responsibility to enable IT services without disruption for your organization. ServiceNow Service Mapping gives you a clear idea of how services are affected by infrastructure issues. However, you are missing one critical piece – visibility into the mainframe (IBM Z). To drive business value, you need visibility into service performance by automatically connecting mainframe CIs into your CMDB and ServiceNow Service Mapping.
In this webinar, Ian Hartley, Director of Product Management at Precisely, will discuss how Precisely Ironstream can help you with ITOM visibility by automatically linking your mainframe to ServiceNow Service Mapping in just a few clicks.
Watch this on-demand webcast to learn:
• The “must-dos” for a proactive approach to mainframe visibility in ServiceNow Service Mapping
• How to auto-populate the CMDB and ServiceNow with mainframe CIs
• The immediate value Ironstream can bring to your business by connecting the mainframe to ServiceNow
Because every organization produces and propagates data as part of their day-to-day operations, data trends are becoming more and more important in the mainstream business world’s consciousness. For many organizations in various industries, though, comprehension of this development begins and ends with buzzwords: “big data,” “NoSQL,” “data scientist,” and so on. Few realize that any and all solutions to their business problems, regardless of platform or relevant technology, rely to a critical extent on the data model supporting them. As such, Data Modeling is not an optional task for an organization’s data effort, but rather a vital activity that facilitates the solutions driving your business. Since quality engineering/architecture work products do not happen accidentally, the more your organization depends on automation, the more important the data models driving the engineering and architecture activities of your organization become. This webinar illustrates Data Modeling as a key activity upon which so much technology depends.
Accelerate Innovation with Databricks and Legacy DataPrecisely
Getting the best AI models and analytics results mean quickly and efficiently delivering data to the cloud with accuracy, consistency, and context. But when you must connect legacy systems like mainframe and IBM i to the cloud, your project can become expensive, time-consuming, and reliant on highly specialized skillsets. So much for speed and efficiency!
View this on-demand webinar to explore how data from mainframe and IBM i can deliver the trusted data required for advanced analytics and artificial intelligence within Databrick’s Unified Analytics Platform.
Keine Angst vorm Dinosaurier: Mainframe-Integration und -Offloading mit Confl...Precisely
Mainframes sind immer noch weit verbreitet im Einsatz und verarbeiten täglich über 70 Prozent der wichtigsten Rechentransaktionen der Welt. Sehr hohe Kosten, monolithische Architekturen und fehlende Experten sind die größten Herausforderungen für Mainframe-Anwendungen. Es ist an der Zeit, innovativer zu werden, auch mit dem Mainframe! Stellen wir uns gemeinsam dem Dinosaurier!
Mainframe Offloading mit Confluent, Apache Kafka und dem zugehörigen Ökosystem kann genutzt werden, um moderne Dateninfrastrukturen in Echtzeit mit dem Mainframe synchron zu halten. Dabei ermöglich Kafka sowohl die Datenverarbeitung als auch die Integration mit Systemen wie Data Warehouses und Analytics-Plattformen. Dabei können via Change Data Capture (CDC) permanent Mainframe-Änderungen im hochvoluminösen Bereich nach Kafka gepusht werden.
In dieser on-demand-präsentation zeigen Confluent und Precisely, wie Unternehmen diesen Schritt zur Legacy-Migration machen, Kosten sparen, eine skalierbare und offene Architektur schaffen und so neue Dienste und Anwendungen ermöglichen.
Do You Trust Your Machine Learning Outcomes? Precisely
How to improve trust in advanced analytics, AI, and machine learning
With the volume, velocity, and variety of data coming into the enterprise, IT teams are turning to artificial intelligence and machine learning to improve the efficiency and accuracy of their data management processes. But if you have underlying data integrity challenges, and you’re using that faulty data to train your machine learning algorithms, your machine learning is now fueled by faulty data. How does that impact your business decisions?
View this on-demand webinar with Dr. Tendü Yoğurtçu, Precisely CTO, for this informative discussion where she will examine various use cases for machine learning and advanced analytics. We will also explore the root causes of data integrity challenges, including:
- Poor data quality
- Data silos
- Lack of context that enriches the understanding of your data
Are You Prepared For The Future Of Data Technologies?Dell World
We are increasingly coming upon an age where technology is a strong enabler of business success, where there are strong synergies between business strategy and technology strategy. You often cannot discuss business strategy without data and related technologies being a big part of it. And as such, business leaders are increasingly turning to IT to compete more effectively in the market. As IT management, it falls upon you to ensure that your data technology architecture (software & hardware) is built in a way that it can handle the business demands of today and in to the future. In this session, we will discuss the various big data technology architectures and associated tools, and what role each should play in your data environment. We will also give real life examples of how others are using these technologies. Build a better data architecture, to unlock the power of all data.
Enable Better Decision Making with Power BI Visualizations & Modern Data EstateCCG
Self-service BI empowers users to reach analytic outputs through data visualizations and reporting tools. Solution Architect and Cloud Solution Specialist, James McAuliffe, will be taking you through a journey of Azure's Modern Data Estate.
(Data) Integrity Matters: Four Ways You Can Build Trust in Your DataPrecisely
According to the Harvard Business Review, 47% of newly created data records have at least one critical error. For many organizations, the ability to trust their data seems almost impossible. Data lives in silos, is stale, unstandardized, full of duplicates, incomplete, or lacking in the insights required to make it truly valuable.
That’s why focusing on achieving data integrity – data with maximum accuracy, consistency, and context – drives better, faster, more confident decisions for your business.
During this on-demand webinar, you will learn how Precisely defines data integrity and how we can help you:
• Effectively integrate data from multiple data sources like mainframes, relational databases, or enterprise data warehouses into next-generation platforms
• Improve the quality of your data by making sure your data is complete, verified, and validated
• Incorporate third-party data to provide location, business, or demographic context
• Turn data into actionable insights using location – a straight-forward way to organize, manage, enrich, and analyze business data
ServiceNow + Precisely: Getting Business Value and Visibility from Mainframe ...Precisely
Your team has a huge responsibility to enable IT services without disruption for your organization. ServiceNow Service Mapping gives you a clear idea of how services are affected by infrastructure issues. However, you are missing one critical piece – visibility into the mainframe (IBM Z). To drive business value, you need visibility into service performance by automatically connecting mainframe CIs into your CMDB and ServiceNow Service Mapping.
In this webinar, Ian Hartley, Director of Product Management at Precisely, will discuss how Precisely Ironstream can help you with ITOM visibility by automatically linking your mainframe to ServiceNow Service Mapping in just a few clicks.
Watch this on-demand webcast to learn:
• The “must-dos” for a proactive approach to mainframe visibility in ServiceNow Service Mapping
• How to auto-populate the CMDB and ServiceNow with mainframe CIs
• The immediate value Ironstream can bring to your business by connecting the mainframe to ServiceNow
Because every organization produces and propagates data as part of their day-to-day operations, data trends are becoming more and more important in the mainstream business world’s consciousness. For many organizations in various industries, though, comprehension of this development begins and ends with buzzwords: “big data,” “NoSQL,” “data scientist,” and so on. Few realize that any and all solutions to their business problems, regardless of platform or relevant technology, rely to a critical extent on the data model supporting them. As such, Data Modeling is not an optional task for an organization’s data effort, but rather a vital activity that facilitates the solutions driving your business. Since quality engineering/architecture work products do not happen accidentally, the more your organization depends on automation, the more important the data models driving the engineering and architecture activities of your organization become. This webinar illustrates Data Modeling as a key activity upon which so much technology depends.
Accelerate Innovation with Databricks and Legacy DataPrecisely
Getting the best AI models and analytics results mean quickly and efficiently delivering data to the cloud with accuracy, consistency, and context. But when you must connect legacy systems like mainframe and IBM i to the cloud, your project can become expensive, time-consuming, and reliant on highly specialized skillsets. So much for speed and efficiency!
View this on-demand webinar to explore how data from mainframe and IBM i can deliver the trusted data required for advanced analytics and artificial intelligence within Databrick’s Unified Analytics Platform.
Keine Angst vorm Dinosaurier: Mainframe-Integration und -Offloading mit Confl...Precisely
Mainframes sind immer noch weit verbreitet im Einsatz und verarbeiten täglich über 70 Prozent der wichtigsten Rechentransaktionen der Welt. Sehr hohe Kosten, monolithische Architekturen und fehlende Experten sind die größten Herausforderungen für Mainframe-Anwendungen. Es ist an der Zeit, innovativer zu werden, auch mit dem Mainframe! Stellen wir uns gemeinsam dem Dinosaurier!
Mainframe Offloading mit Confluent, Apache Kafka und dem zugehörigen Ökosystem kann genutzt werden, um moderne Dateninfrastrukturen in Echtzeit mit dem Mainframe synchron zu halten. Dabei ermöglich Kafka sowohl die Datenverarbeitung als auch die Integration mit Systemen wie Data Warehouses und Analytics-Plattformen. Dabei können via Change Data Capture (CDC) permanent Mainframe-Änderungen im hochvoluminösen Bereich nach Kafka gepusht werden.
In dieser on-demand-präsentation zeigen Confluent und Precisely, wie Unternehmen diesen Schritt zur Legacy-Migration machen, Kosten sparen, eine skalierbare und offene Architektur schaffen und so neue Dienste und Anwendungen ermöglichen.
Case Manager for Content Management - A Customer's PerspectiveThe Dayhuff Group
Motorists Mutual Insurance and Dayhuff Group share best practices and lessons learned from the Case Manager implementation at Motorists that is finally allowing the customer to realize the promise of Content Management.
Learn about the three advances in database technologies that eliminate the need for star schemas and the resulting maintenance nightmare.
Relational databases in the 1980s were typically designed using the Codd-Date rules for data normalization. It was the most efficient way to store data used in operations. As BI and multi-dimensional analysis became popular, the relational databases began to have performance issues when multiple joins were requested. The development of the star schema was a clever way to get around performance issues and ensure that multi-dimensional queries could be resolved quickly. But this design came with its own set of problems.
Unfortunately, the analytic process is never simple. Business users always think up unimaginable ways to query the data. And the data itself often changes in unpredictable ways. These result in the need for new dimensions, new and mostly redundant star schemas and their indexes, maintenance difficulties in handling slowly changing dimensions, and other problems causing the analytical environment to become overly complex, very difficult to maintain, long delays in new capabilities, resulting in an unsatisfactory environment for both the users and those maintaining it.
There must be a better way!
Watch this webinar to learn:
- The three technological advances in data storage that eliminate star schemas
- How these innovations benefit analytical environments
- The steps you will need to take to reap the benefits of being star schema-free
What if all members of your software development team from Project Managers, Business Analysts, Testing and documentation members could create and modify web applications and web services? With traditional SQL solutions this was difficult because of the need to convert web pages to objects, objects to tables as well as the reverse functions. But now with native XML databases and drag-and-drop forms builders, data can flow from the XML model of a web form to the database and back again without translation. This radically simpler process combined with standardized query languages makes it easier for non-programmers to build and maintain their own applications and web services.
Vuzion Inspired Event - Highlights from Microsoft Inspire 2017Vuzion
Microsoft Inspire, 9-13 July 2017 - What an inspirational week!
With over 680 sessions and 17,000 people attending Microsoft's biggest annual event in Washington DC, there was a huge amount covered, including Vision Keynotes, workshops, discussion groups, panels and a large expo.
To make sure you're up-to-date with all the news, Microsoft, Vuzion and our Partners shared the insights with you at our special Inspired event.
As UK headline sponsor, the Vuzion team at Inspire was delighted to be able to meet up with so many partners and industry colleagues.
But, whether you were at Inspire or unable to attend Microsoft's flagship partner event, if you'd like more information about the key announcements from Inspire here are the slides!
Karya develops mobile application services that fits the unique needs of your business. Our Mobile Application Services helps the users to better utilize the power of Mobile Technology.
Data-Ed Online: Data Architecture RequirementsDATAVERSITY
Data architecture is foundational to an information-based operational environment. It is your data architecture that organizes your data assets so they can be leveraged in your business strategy to create real business value. Even though this is important, not all data architectures are used effectively. This webinar describes the use of data architecture as a basic analysis method. Various uses of data architecture to inform, clarify, understand, and resolve aspects of a variety of business problems will be demonstrated. As opposed to showing how to architect data, your presenter Dr. Peter Aiken will show how to use data architecting to solve business problems. The goal is for you to be able to envision a number of uses for data architectures that will raise the perceived utility of this analysis method in the eyes of the business.
Takeaways:
Understanding how to contribute to organizational challenges beyond traditional data architecting
How to utilize data architectures in support of business strategy
Understanding foundational data architecture concepts based on the DAMA DMBOK
Data architecture guiding principles & best practices
Power BI Governance and Development Best Practices - Presentation at #MSBIFI ...Jouko Nyholm
Selected slides from presentation regarding Power BI Governance and Development Best Practices. Presentation was held at MS BI & Power BI User Group Finland event 12.6.2018 at Microsoft Flux, Helsinki.
Without the animations & hands-on demos the slides do not tell the whole story, but hopefully valuable to some nevertheless.
Caserta Concepts, Datameer and Microsoft shared their combined knowledge and a use case on big data, the cloud and deep analytics. Attendes learned how a global leader in the test, measurement and control systems market reduced their big data implementations from 18 months to just a few.
Speakers shared how to provide a business user-friendly, self-service environment for data discovery and analytics, and focus on how to extend and optimize Hadoop based analytics, highlighting the advantages and practical applications of deploying on the cloud for enhanced performance, scalability and lower TCO.
Agenda included:
- Pizza and Networking
- Joe Caserta, President, Caserta Concepts - Why are we here?
- Nikhil Kumar, Sr. Solutions Engineer, Datameer - Solution use cases and technical demonstration
- Stefan Groschupf, CEO & Chairman, Datameer - The evolving Hadoop-based analytics trends and the role of cloud computing
- James Serra, Data Platform Solution Architect, Microsoft, Benefits of the Azure Cloud Service
- Q&A, Networking
For more information on Caserta Concepts, visit our website: http://casertaconcepts.com/
Présentation Forrester - Forum MDM Micropole 2014Micropole Group
Présentation du Cabinet Forrester lors du 3eme Forum MDM Micropole le 19 novembre 2014 à Paris.
Forrester présente les tendances du marché du Master Data Management et de la gouvernance des données.
Enterprise Data Management - Data Lake - A PerspectiveSaurav Mukherjee
This document discusses the evolution of the enterprise data management over the years, the challenges of the current CTOs and chief enterprise architects, and the concept of the Data Lake as a means to tackle such challenges. It also talks about some reference architectures and recommended tool set in today’s context.
Rethink Your 2021 Data Management Strategy with Data Virtualization (ASEAN)Denodo
Watch full webinar here: https://bit.ly/2O2r3NP
In the last several decades, BI has evolved from large, monolithic implementations controlled by IT to orchestrated sets of smaller, more agile capabilities that include visual-based data discovery and governance. These new capabilities provide more democratic analytics accessibility that is increasingly being controlled by business users. However, given the rapid advancements in emerging technologies such as cloud and big data systems and the fast changing business requirements, creating a future-proof data management strategy is an incredibly complex task.
Catch this on demand session to understand:
- BI program modernization challenges
- What is data virtualization and why is its adoption growing so quickly?
- How data virtualization works and how it compares to alternative approaches to data integration
- How modern data virtualization can significantly increase agility while reducing costs
Foundational Strategies for Trusted Data: Getting Your Data to the CloudPrecisely
To trust your reporting, analytics, and ML outcomes, you must have access to all the data required for confident decision-making. In this on-demand session we’ll explore strategies for breaking data out of silos and getting it into the cloud – with an emphasis on integrating data from complex legacy systems.
You had a strategy. You were executing it. You were then side-swiped by COVID, spending countless cycles blocking and tackling. It is now time to step back onto your path.
CCG is holding a workshop to help you update your roadmap and get your team back on track and review how Microsoft Azure Solutions can be leveraged to build a strong foundation for governed data insights.
The Heart of Data Modeling: The Best Data Modeler is a Lazy Data ModelerDATAVERSITY
We're under pressure to do more with fewer resources. And organizations are often short on experienced data modelers. So why should we spend time doing things that can be done by robots. Well, not robots, but automation.
In this month's webinar, Karen demonstrates the types of automation techniques available in leading data modeling tools such as ERwin, ER/Studio and PowerDesigner. She will also leave you with 10 tips on being more lazy. What webinar last promised that, anyway?
Today, every company runs many different applications that are essential for success – both internal business applications but also external-facing applications for customers and partners (such as the company website, customer self-service portal, e-commerce sites, or mobile apps).
And then, there's data. Every user interaction with any application works with data, consumes data and generates data. Today, every business collects tremendous amounts of information - and the challenge is how to turn this data into actionable insights and intelligence to provide a superior customer experience.
Content services to capture and scale your expertise
SharePoint Syntex uses advanced AI and machine teaching to amplify human expertise, automate content processing, and transform content into knowledge.
Content understanding
Create AI models that capture expertise to classify and extract information and automatically apply metadata.
Capture expertise with AI
Build no-code AI models that teach the cloud to read content the way you do.
Enrich content and metadata
Find key facts in your content to improve search and teamwork.
Content processing
Automate the capture, ingestion, and categorization of content and streamline content-centric processes.
Automatically classify content
Use advanced AI in SharePoint Syntex to capture and tag structured and unstructured content.
Streamline content processes
Integrate with Power Automate to build workflows that leverage extracted metadata.
Content compliance
Connect and manage content to improve security and compliance.
Integrate content across systems
Connect SharePoint Syntex to content inside and outside Microsoft 365.
Protect and manage content
Enforce security and compliance policies with automatically applied sensitivity and retention labels.
The 2014 AWS Enterprise Summit - Enabling the New IT Org Amazon Web Services
Today’s technology leaders recognize that the cloud is disrupting the way in which they collaborate and deliver technology solutions throughout their enterprise. In this session, experienced and emerging leadership teams will learn how companies are leveraging the cloud to re-imagine the traditional people, process, and technology alignment model. Attendees will be presented with key considerations to better enable the alignment of executives, developers, system administrators, and end users with the objective of increasing business value, agility, and innovation
MPS IntelliVector provides a faster, cost saving and 100% secure solution for processing confidential data leveraging outsourced or offshore data entry resources.
100% secure, even when outsourced (sensitive data is protected, outsourcing is safe)
60% faster compared to other forms processing solutions
100% accurate
up to 90% cheaper
connectors to various lines of business applications, ECM,
ERP, BPM and workflow solutions
Enabling the New IT Org
Today’s technology leaders recognize that the cloud is disrupting the way in which they collaborate and deliver technology solutions throughout their enterprise. In this session, experienced and emerging leadership teams will learn how companies are leveraging the cloud to reimagine the traditional people, process, and technology alignment model. Attendees will be presented with key considerations to better enable the alignment of executives, developers, system administrators, and end users with the objective of increasing business value, agility, and innovation.
Case Manager for Content Management - A Customer's PerspectiveThe Dayhuff Group
Motorists Mutual Insurance and Dayhuff Group share best practices and lessons learned from the Case Manager implementation at Motorists that is finally allowing the customer to realize the promise of Content Management.
Learn about the three advances in database technologies that eliminate the need for star schemas and the resulting maintenance nightmare.
Relational databases in the 1980s were typically designed using the Codd-Date rules for data normalization. It was the most efficient way to store data used in operations. As BI and multi-dimensional analysis became popular, the relational databases began to have performance issues when multiple joins were requested. The development of the star schema was a clever way to get around performance issues and ensure that multi-dimensional queries could be resolved quickly. But this design came with its own set of problems.
Unfortunately, the analytic process is never simple. Business users always think up unimaginable ways to query the data. And the data itself often changes in unpredictable ways. These result in the need for new dimensions, new and mostly redundant star schemas and their indexes, maintenance difficulties in handling slowly changing dimensions, and other problems causing the analytical environment to become overly complex, very difficult to maintain, long delays in new capabilities, resulting in an unsatisfactory environment for both the users and those maintaining it.
There must be a better way!
Watch this webinar to learn:
- The three technological advances in data storage that eliminate star schemas
- How these innovations benefit analytical environments
- The steps you will need to take to reap the benefits of being star schema-free
What if all members of your software development team from Project Managers, Business Analysts, Testing and documentation members could create and modify web applications and web services? With traditional SQL solutions this was difficult because of the need to convert web pages to objects, objects to tables as well as the reverse functions. But now with native XML databases and drag-and-drop forms builders, data can flow from the XML model of a web form to the database and back again without translation. This radically simpler process combined with standardized query languages makes it easier for non-programmers to build and maintain their own applications and web services.
Vuzion Inspired Event - Highlights from Microsoft Inspire 2017Vuzion
Microsoft Inspire, 9-13 July 2017 - What an inspirational week!
With over 680 sessions and 17,000 people attending Microsoft's biggest annual event in Washington DC, there was a huge amount covered, including Vision Keynotes, workshops, discussion groups, panels and a large expo.
To make sure you're up-to-date with all the news, Microsoft, Vuzion and our Partners shared the insights with you at our special Inspired event.
As UK headline sponsor, the Vuzion team at Inspire was delighted to be able to meet up with so many partners and industry colleagues.
But, whether you were at Inspire or unable to attend Microsoft's flagship partner event, if you'd like more information about the key announcements from Inspire here are the slides!
Karya develops mobile application services that fits the unique needs of your business. Our Mobile Application Services helps the users to better utilize the power of Mobile Technology.
Data-Ed Online: Data Architecture RequirementsDATAVERSITY
Data architecture is foundational to an information-based operational environment. It is your data architecture that organizes your data assets so they can be leveraged in your business strategy to create real business value. Even though this is important, not all data architectures are used effectively. This webinar describes the use of data architecture as a basic analysis method. Various uses of data architecture to inform, clarify, understand, and resolve aspects of a variety of business problems will be demonstrated. As opposed to showing how to architect data, your presenter Dr. Peter Aiken will show how to use data architecting to solve business problems. The goal is for you to be able to envision a number of uses for data architectures that will raise the perceived utility of this analysis method in the eyes of the business.
Takeaways:
Understanding how to contribute to organizational challenges beyond traditional data architecting
How to utilize data architectures in support of business strategy
Understanding foundational data architecture concepts based on the DAMA DMBOK
Data architecture guiding principles & best practices
Power BI Governance and Development Best Practices - Presentation at #MSBIFI ...Jouko Nyholm
Selected slides from presentation regarding Power BI Governance and Development Best Practices. Presentation was held at MS BI & Power BI User Group Finland event 12.6.2018 at Microsoft Flux, Helsinki.
Without the animations & hands-on demos the slides do not tell the whole story, but hopefully valuable to some nevertheless.
Caserta Concepts, Datameer and Microsoft shared their combined knowledge and a use case on big data, the cloud and deep analytics. Attendes learned how a global leader in the test, measurement and control systems market reduced their big data implementations from 18 months to just a few.
Speakers shared how to provide a business user-friendly, self-service environment for data discovery and analytics, and focus on how to extend and optimize Hadoop based analytics, highlighting the advantages and practical applications of deploying on the cloud for enhanced performance, scalability and lower TCO.
Agenda included:
- Pizza and Networking
- Joe Caserta, President, Caserta Concepts - Why are we here?
- Nikhil Kumar, Sr. Solutions Engineer, Datameer - Solution use cases and technical demonstration
- Stefan Groschupf, CEO & Chairman, Datameer - The evolving Hadoop-based analytics trends and the role of cloud computing
- James Serra, Data Platform Solution Architect, Microsoft, Benefits of the Azure Cloud Service
- Q&A, Networking
For more information on Caserta Concepts, visit our website: http://casertaconcepts.com/
Présentation Forrester - Forum MDM Micropole 2014Micropole Group
Présentation du Cabinet Forrester lors du 3eme Forum MDM Micropole le 19 novembre 2014 à Paris.
Forrester présente les tendances du marché du Master Data Management et de la gouvernance des données.
Enterprise Data Management - Data Lake - A PerspectiveSaurav Mukherjee
This document discusses the evolution of the enterprise data management over the years, the challenges of the current CTOs and chief enterprise architects, and the concept of the Data Lake as a means to tackle such challenges. It also talks about some reference architectures and recommended tool set in today’s context.
Rethink Your 2021 Data Management Strategy with Data Virtualization (ASEAN)Denodo
Watch full webinar here: https://bit.ly/2O2r3NP
In the last several decades, BI has evolved from large, monolithic implementations controlled by IT to orchestrated sets of smaller, more agile capabilities that include visual-based data discovery and governance. These new capabilities provide more democratic analytics accessibility that is increasingly being controlled by business users. However, given the rapid advancements in emerging technologies such as cloud and big data systems and the fast changing business requirements, creating a future-proof data management strategy is an incredibly complex task.
Catch this on demand session to understand:
- BI program modernization challenges
- What is data virtualization and why is its adoption growing so quickly?
- How data virtualization works and how it compares to alternative approaches to data integration
- How modern data virtualization can significantly increase agility while reducing costs
Foundational Strategies for Trusted Data: Getting Your Data to the CloudPrecisely
To trust your reporting, analytics, and ML outcomes, you must have access to all the data required for confident decision-making. In this on-demand session we’ll explore strategies for breaking data out of silos and getting it into the cloud – with an emphasis on integrating data from complex legacy systems.
You had a strategy. You were executing it. You were then side-swiped by COVID, spending countless cycles blocking and tackling. It is now time to step back onto your path.
CCG is holding a workshop to help you update your roadmap and get your team back on track and review how Microsoft Azure Solutions can be leveraged to build a strong foundation for governed data insights.
The Heart of Data Modeling: The Best Data Modeler is a Lazy Data ModelerDATAVERSITY
We're under pressure to do more with fewer resources. And organizations are often short on experienced data modelers. So why should we spend time doing things that can be done by robots. Well, not robots, but automation.
In this month's webinar, Karen demonstrates the types of automation techniques available in leading data modeling tools such as ERwin, ER/Studio and PowerDesigner. She will also leave you with 10 tips on being more lazy. What webinar last promised that, anyway?
Today, every company runs many different applications that are essential for success – both internal business applications but also external-facing applications for customers and partners (such as the company website, customer self-service portal, e-commerce sites, or mobile apps).
And then, there's data. Every user interaction with any application works with data, consumes data and generates data. Today, every business collects tremendous amounts of information - and the challenge is how to turn this data into actionable insights and intelligence to provide a superior customer experience.
Content services to capture and scale your expertise
SharePoint Syntex uses advanced AI and machine teaching to amplify human expertise, automate content processing, and transform content into knowledge.
Content understanding
Create AI models that capture expertise to classify and extract information and automatically apply metadata.
Capture expertise with AI
Build no-code AI models that teach the cloud to read content the way you do.
Enrich content and metadata
Find key facts in your content to improve search and teamwork.
Content processing
Automate the capture, ingestion, and categorization of content and streamline content-centric processes.
Automatically classify content
Use advanced AI in SharePoint Syntex to capture and tag structured and unstructured content.
Streamline content processes
Integrate with Power Automate to build workflows that leverage extracted metadata.
Content compliance
Connect and manage content to improve security and compliance.
Integrate content across systems
Connect SharePoint Syntex to content inside and outside Microsoft 365.
Protect and manage content
Enforce security and compliance policies with automatically applied sensitivity and retention labels.
The 2014 AWS Enterprise Summit - Enabling the New IT Org Amazon Web Services
Today’s technology leaders recognize that the cloud is disrupting the way in which they collaborate and deliver technology solutions throughout their enterprise. In this session, experienced and emerging leadership teams will learn how companies are leveraging the cloud to re-imagine the traditional people, process, and technology alignment model. Attendees will be presented with key considerations to better enable the alignment of executives, developers, system administrators, and end users with the objective of increasing business value, agility, and innovation
MPS IntelliVector provides a faster, cost saving and 100% secure solution for processing confidential data leveraging outsourced or offshore data entry resources.
100% secure, even when outsourced (sensitive data is protected, outsourcing is safe)
60% faster compared to other forms processing solutions
100% accurate
up to 90% cheaper
connectors to various lines of business applications, ECM,
ERP, BPM and workflow solutions
Enabling the New IT Org
Today’s technology leaders recognize that the cloud is disrupting the way in which they collaborate and deliver technology solutions throughout their enterprise. In this session, experienced and emerging leadership teams will learn how companies are leveraging the cloud to reimagine the traditional people, process, and technology alignment model. Attendees will be presented with key considerations to better enable the alignment of executives, developers, system administrators, and end users with the objective of increasing business value, agility, and innovation.
Webinar: SpagoBI 5 - Self-build your interactive cockpits, get instant insigh...SpagoWorld
This presentation supported the webinar delivered by Virginie Pasquon, SpagoBI Sales Engineer, in March 2015 (in English and French). It provides an overview of SpagoBI 5 focusing on the new self-service cockpits, to explore your data dynamically and gest instant insights. www.spagobi.org
Have you ever encountered a Salesforce bug? Ever wonder how salesforce.com fixes a bug and how you can track the progress? We invite all admins, developers, partners, and power users to join us on a behind the scenes journey following a bug through salesforce.com support and engineering. Learn how you can use the public known issues site to track bugs affecting your organization.
El Dr. Juan F. Ascaso, presidente de la Sociedad Española de la Arteriosclerosis (SEA), participa en el acto de presentación de la 'Jornada Galáctica sobre Guías de Lípidos y objetivos a alcanzar en los pacientes de más alto riesgo cardiovascular' (Málaga, 4-5 abril, 2014).
Accede a la jornada completa en http://guiaslipidos.secardiologia.es
World Travel Market London: Creating Content Travellers Really WantGary Bembridge
My presentation at WTM 2013 for TBU London was about creating content that travellers really want, highlighting some of the pitfalls and risks. I talk about the importance of bearing in mind that most people only travel once a year for an annual 2 week holiday - and what that means when creating content
This SEO 101 deck is for my presentation at SEMpdx. It goes along with the SEO 101 blog located here http://webfor.com/seo-101/ that I updated for 2014 with the most recent relevant information for the basic building blocks of SEO (and beyond). Whether you’re a seasoned veteran or just starting out in SEO, the basic core principles of SEO are always important.
Harnessing the power of data for competitive advantage with MicroStrategy Enterprise Analytics. This presentation was given at the Florida MicroStrategy User Group Meeting on September 17th, 2015. To learn more about these meetings, join the user group on LinkedIn at https://www.linkedin.com/groups/MicroStrategy-Florida-User-Group-8393233/about
Democratized Data & Analytics for the CloudPrecisely
In an era driven by data, organizations are constantly seeking ways to harness the power of their data assets to make informed decisions, gain competitive advantages, and foster innovation. The cloud has emerged as a game-changer, offering unparalleled scalability and accessibility for data and analytics solutions. However, achieving true democratization of data and analytics in the cloud remains a significant challenge.
In this session we will discuss:
· Why companies are pushing to move workloads to the cloud
· How data silos and a lack of democratized data can impact organizations
· Best practices and expectations for bringing data to the cloud for analytics
· Precisely’s solution for trusted data and analytics for the cloud
Watch our 10-minute webinar and embark on a journey to democratize data and analytics, enabling your organization to thrive in the data-driven age. Whether you are a data professional, IT leader, or business executive, this session will equip you with the knowledge and tools to harness the full potential of your data assets in the cloud.
MT101 Dell OCIO: Delivering data and analytics in real timeDell EMC World
Today’s business operations increasingly rely on sophisticated integration of data streaming across the enterprise. This requires an analytics ecosystem that is highly current and highly available. This session explores the infrastructure and methods Dell IT used for keeping the complex flows, integration processes, BI, and analytics operating 24x7.
Is your big data journey stalling? Take the Leap with Capgemini and ClouderaCloudera, Inc.
Transitioning to a Big Data architecture is a big step; and the complexity of moving existing analytical services onto modern platforms like Cloudera, can seem overwhelming.
Extracted data can give you useful insights into what is going on inside and outside your organization, which you can use to make important decisions. You can also take business intelligence services to get valuable insights from big data. To Know more about Business Intelligence Services,visit our website.
https://www.impressico.com/services/technical-capabilities/data-analytics-bi/
Data has become one of the most valuable commodities in the world, and it can make or break a business in no time. The DataOps approach to data management is the newest and most advanced. Technology and processes in an organization can be merged with business processes through DataOps
Modernize your Infrastructure and Mobilize Your DataPrecisely
Modernizing your infrastructure can get complicated really fast. The keys to success involve breaking down data silos and moving data to the cloud in real time. But building data pipelines to mobilize your data in the cloud can be time consuming. You need solutions that decrease bandwidth, ensure data consistency, and enable data migration and replication in real-time; solutions that help you build data pipelines in hours, not days.
Watch this on-demand webinar to learn about the trends and pitfalls related to modernizing your infrastructure to cloud, how the pace of on-prem data growth demands accelerating data streaming to analytics platforms, and why mobilizing your data for the cloud improves business outcomes.
Big Data Made Easy: A Simple, Scalable Solution for Getting Started with HadoopPrecisely
With so many new, evolving frameworks, tools, and languages, a new big data project can lead to confusion and unwarranted risk.
Many organizations have found Data Warehouse Optimization with Hadoop to be a good starting point on their Big Data journey. Offloading ETL workloads from the enterprise data warehouse (EDW) into Hadoop is a well-defined use case that produces tangible results for driving more insights while lowering costs. You gain significant business agility, avoid costly EDW upgrades, and free up EDW capacity for faster queries. This quick win builds credibility and generates savings to reinvest in more Big Data projects.
A proven reference architecture that includes everything you need in a turnkey solution – the Hadoop distribution, data integration software, servers, networking and services – makes it even easier to get started.
Modernizing Integration with Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/3CMqS0E
Today, businesses have more data and data types combined with more complex ecosystems than they have ever had before. Examples include on-premise data marts, data warehouses, data lakes, applications, spreadsheets, IoT data, sensor data, unstructured, etc. combined with cloud data ecosystems like Snowflake, Big Query, Azure Synapse, Amazon S3, Redshift, Databricks, SaaS apps, such as Salesforce, Oracle, Service Now, Workday, and on and on.
Data, Analytics, Data Science and Architecture teams are struggling to provide the business users with the right data as quickly and efficiently as possible to quickly enable Analytics, Dashboards, BI, Reports, etc. Unfortunately, many enterprises seek to meet this pressing need by utilizing antiquated and legacy 40+ year-old approaches. There is a better way. Proven by thousands of other companies.
As Forrester so astutely reported in their recent Total Economic Impact Study, companies who employed Data Virtualization reported a “65% decrease in data delivery times over ETL” and an “83% reduction in time to new revenue.”
Join us for this very educational webinar to learn firsthand from Denodo Technologies and Fusion Alliance how:
- Data Virtualization helps your company save time and money by eliminating superfluous ETL pipelines and data replication.
- Data Virtualization can become the cornerstone of your modern data approach to deliver data faster and more efficiently than old legacy approaches at enterprise scale.
- How quickly and easily, Data Virtualization can scale, even in the most complex environments, to create a universal abstraction semantic model(s) for all of your cloud, on premise, structured, unstructured and hybrid data
- Data Mesh and Data Fabric architecture patterns for maximum reuse
- Other customers have used, and are using, Data Virtualization to tackle their toughest data integration and data delivery challenges
- Fusion Alliance can help you define a data strategy tailored to your organization’s needs and requirements, and how they can help you achieve success and enable your business with self-service capabilities
Quicker Insights and Sustainable Business Agility Powered By Data Virtualizat...Denodo
Watch full webinar here: https://bit.ly/3xj6fnm
Presented at Chief Data Officer Live 2021 A/NZ
The world is changing faster than ever. And for companies to compete and succeed they need to be agile in order to respond quickly to market changes and emerging opportunities. Data plays an integral role in achieving this business agility. However, given the complex nature of the enterprise data architecture finding and analysing data is an increasingly challenging task. Data virtualization is a modern data integration technique that integrates data in real-time, without having to physically replicate it.
Watch on-demand this session to understand what data virtualization is and how it:
- Delivers data in real-time, and without replication
- Creates a logical architecture to provide a single view of truth
- Centralises the data governance and security framework
- Democratises data for faster decision making and business agility
Analyst Webinar: Discover how a logical data fabric helps organizations avoid...Denodo
Watch full webinar here: https://bit.ly/3zVUXWp
In this webinar, we’ll be tackling the question of where our data is and how we can avoid it falling into a black hole.
We’ll examine how data blackholes and silos come to be and the challenges these pose to organisations. We will also look at the impact of data silos as organisations adopt more complex multi-cloud setups. Finally, we will discuss the opportunities a logical data fabric poses to assist organisations to avoid data silos and manage data in a centrally governed and controlled environment.
Join us and Barc’s Jacqueline Bloemen on this webinar to get the answer and further insights on how to better avoid falling into a #datablackhole. Hope to see you connected!
Modern Data Management for Federal ModernizationDenodo
Watch full webinar here: https://bit.ly/2QaVfE7
Faster, more agile data management is at the heart of government modernization. However, Traditional data delivery systems are limited in realizing a modernized and future-proof data architecture.
This webinar will address how data virtualization can modernize existing systems and enable new data strategies. Join this session to learn how government agencies can use data virtualization to:
- Enable governed, inter-agency data sharing
- Simplify data acquisition, search and tagging
- Streamline data delivery for transition to cloud, data science initiatives, and more
Accelerate Self-Service Analytics with Data Virtualization and VisualizationDenodo
Watch full webinar here: https://bit.ly/39AhUB7
Enterprise organizations are shifting to self-service analytics as business users need real-time access to holistic and consistent views of data regardless of its location, source or type for arriving at critical decisions.
Data Virtualization and Data Visualization work together through a universal semantic layer. Learn how they enable self-service data discovery and improve performance of your reports and dashboards.
In this session, you will learn:
- Challenges faced by business users
- How data virtualization enables self-service analytics
- Use case and lessons from customer success
- Overview of the highlight features in Tableau
Cloud Migration Strategies that Ensure Greater Value for the BusinessDenodo
Watch full webinar here: https://bit.ly/3UPJRNY
The cloud is no longer the future; the cloud is now. Companies continue to shift their workloads and data to the cloud to leverage the speed, agility, and efficient scalability the cloud offers. As a result, there is increasing attention given to cloud-based data warehouses, data lakes, and lake houses as a way for organizations to simplify managing their ever-increasing volumes of data. However, many find that these new technologies only complicate the data management process.
Join Kevin Bohan, Director of Product Marketing at Denodo as he explores the challenges faced when adopting cloud data services. His presentation will be followed by and engaging fireside chat with Rex Washburn, Head of Modern Data Platforms at Sirius. Together they will discuss practical advice to help work around these challenges.
Watch On-Demand and Learn:
- What are the obstacles faced when moving data to the cloud?
- The various options to consider to overcome these challenges.
- A recommended path forward.
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
Join us on a journey of innovation and growth. Let's partner for success with Prosigns.
Cyaniclab : Software Development Agency Portfolio.pdfCyanic lab
CyanicLab, an offshore custom software development company based in Sweden,India, Finland, is your go-to partner for startup development and innovative web design solutions. Our expert team specializes in crafting cutting-edge software tailored to meet the unique needs of startups and established enterprises alike. From conceptualization to execution, we offer comprehensive services including web and mobile app development, UI/UX design, and ongoing software maintenance. Ready to elevate your business? Contact CyanicLab today and let us propel your vision to success with our top-notch IT solutions.
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
Accelerate Enterprise Software Engineering with PlatformlessWSO2
Key takeaways:
Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Shahin Sheidaei
Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.
Enhancing Project Management Efficiency_ Leveraging AI Tools like ChatGPT.pdfJay Das
With the advent of artificial intelligence or AI tools, project management processes are undergoing a transformative shift. By using tools like ChatGPT, and Bard organizations can empower their leaders and managers to plan, execute, and monitor projects more effectively.
A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
Traditional software testing methods are being challenged in retail, where customer expectations and technological advancements continually shape the landscape. Enter generative AI—a transformative subset of artificial intelligence technologies poised to revolutionize software testing.
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
Navigating the Metaverse: A Journey into Virtual Evolution"Donna Lenk
Join us for an exploration of the Metaverse's evolution, where innovation meets imagination. Discover new dimensions of virtual events, engage with thought-provoking discussions, and witness the transformative power of digital realms."
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERRORTier1 app
Even though at surface level ‘java.lang.OutOfMemoryError’ appears as one single error; underlyingly there are 9 types of OutOfMemoryError. Each type of OutOfMemoryError has different causes, diagnosis approaches and solutions. This session equips you with the knowledge, tools, and techniques needed to troubleshoot and conquer OutOfMemoryError in all its forms, ensuring smoother, more efficient Java applications.
Into the Box Keynote Day 2: Unveiling amazing updates and announcements for modern CFML developers! Get ready for exciting releases and updates on Ortus tools and products. Stay tuned for cutting-edge innovations designed to boost your productivity.
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
2. 2 8/11/2014 Software
Data center & cloud
management
Client management
Performance management
Virtualization & cloud mgmt
Windows server mgmt
Mobile device mgmt
Desktop virtualization
Application/data access
Secure remote access
Information
management
Database management
Business intelligence/analytics
Application & data integration
Big data analytics
Dell Software Solutions
Mobile workforce
management
Identity & access management
Network security
Endpoint security
Email security
Security Data protection
Enterprise backup & recovery
Virtual protection
Application protection
Disaster recovery
3. 3 Dell Software Group
Flexible,
powerful
reporting and
analytics
4. 4 Dell Software Group
of CIO’s say they
plan to expand BI
this year or next
Ranking of
Analytics & BI in
Gartner CIO survey
of top technology
priorities (2013)
Leveraging Data & Analytics presents
enormous potential for organizations
of mid-market
companies
consider business
analytics critical to
operations
90% of all the data
in the world has
been generated
over the last two
years
Employment
opportunity. By
2015, 4.4M IT jobs
globally will be
created to support
big data, 1.9M IT
jobs in US alone!
#1 70% 1.8ZB#1 57%
5. 5 Dell Software Group
Why business intelligence projects failTraditional
BI
Self-service
BI
?
Poor
usability
Lack of
agility
Missing
information
Shadow IT No governance
Internal
conflict
6. 6 Dell Software Group
Rapid business insights without compromising IT
People
ToolsData
Fast, easy &
agile
Access to all
your data
Flexible &
complementary
8. 8 Dell Software Group
Flexible and powerful reporting and analytics
Toad Data Point
Data Provisioning
Toad Intelligence Central
Run workflow
automation 24x7
Direct data access
Collaborate and share
datasets, queries and Toad
files
Centralized security, user
and access management
RDBMS Data Warehouse Cloud Apps NoSQL BI Platforms
Toad Decision Point
Data DiscoveryCollaboration & Sharing
9. 9 Dell Software Group
Key features
Single tool to access and join all your data
• Access all your data from a single tool
• Join data from multiple systems for faster data integration and more
complete view of the data
Automate routine query and reporting tasks
• Improve productivity with a library of customizable scripts for
automating data exports and emails, script execution and more.
• Share views, snapshots and data sets with other users
Simplify complex query development and data integration
• Visually build drag and drop queries across data sources to eliminate
the need for expert SQL skills
• Easily modify datasets, find duplicate and clean data faster
• Compare and sync data sets easily for more accurate information
• Access advanced mathematical and statistical functions through SQL
Toad Data Point – Rapidly access, integrate and provision data
10. 10 Dell Software Group
Key features
Improves productivity
• Access all your data from a single tool
• Collaborate and share data with other users in Toad Intelligence
Central
• Intuitive drag and drop graphical interface
• Insert line, area, bar, scatter plots and pie charts
• Create fixed layout dashboards
Faster time to insight
• Tabular, dimensional and graphical views speeds analysis and reporting
• Interactive charting and powerful yet simple visualizations
• Incorporates visual analytics such as forecasting
Toad Decision Point – Data discovery and visualization
11. 11 Dell Software Group
Key features
Improve team collaboration and knowledge retention
• Improve collaboration by publishing and sharing files, objects, and data
sets directly with your team in Toad
• Speed access to data with centralized team access
• Eliminate the need for emailing data in Excel
Reduce risk to workflow failures
• Centralizes knowledge and workflows in a safe environment with
access to reusable items
• Schedule and run automated reports from a fault tolerant 24x7 server
Increase productivity
• Improve report turnaround times by running SQL queries on the server
• Increase productivity by sharing institutional knowledge in a
centralized object repository
Increase productivity
• Centralized data repository and query engine that provides single
workflow for provisioning
• Connectivity for data visualization and analysis tools of choice
• Enhanced connectivity through Toad Decision Point (free/pro)
Toad Intelligence Central – Collaboration and sharing
12. 12 Dell Software Group
Toad provides flexible, powerful reporting & analytics
Improves team productivity
Flexible, powerful and easy-to-use
reporting, analysis and visualizations tools
Speeds reporting & analysis
Fosters collaboration Collaborative platform that empowers
analyst teams to work seamlessly together
Provides rapid and governed access to all
traditional and emerging data sources
Enables you to visually and intuitively explore,
analyze, and understand information faster
Access to all your data sources
13. 13 Dell Software Group
Kennesaw University
HR administration: HRMS, employment,
benefits and payroll services
Challenge
• Time consuming and error prone reporting
processes
• Multiple data sources
• Delivering data sets to business users
Results
• From 12 reports a year to 50 automated reports
within 1 month
• Automated report creation, eliminating
mistakes and saving 20 hours a week
“We wanted a simple-to-administer solution that
would let us easily deliver data and data analysis
tools to users’ desktops. That’s what we got with
Toad BI Suite”
Brad Smith, Dir. Of Payroll and HRIS
14. 14 Dell Software Group
Concordia University
HR administration: HRMS, employment, benefits
and payroll services
Challenge
• Increased and complex data sources
• Increase in self-service reporting needs
• Governance needed for new recruiting partner
• New financial aid reporting requirements
Results
• Quickly connected to multiple data sources
including SFDC
• Automated report creation and self-service
reporting for both business and IT users
“Toad BI Suite had everything I was looking for in a self-
service BI tool. Toad BI Suite is unique in the sense that
my different users have lots of options. For the more
technical data consumers, I enable them to provision
data, make changes and run reports on demand. For the
less-technical, business consumers, it’s super easy for
them to browse and visualize data without having the
ability to make changes.”
Rebekah Anderson, Dir. of BI
We have 5 Solution Areas – all of which have numerous 3rd party awards and recognition. There aren’t many software vendors on the planet that can cover this level of breadth and that have the depth that we have in each Solution Area.
Dell is one of the largest software companies in the world.
Why customers Want it 1
InformationWeek Global CIO predictions for 2012
Mid-market quotes from IDC June 2012 report: “2012 State of the U.S. Business Analytics Software Market: End-User Perspective by Industry and Company Size:
Source: Dresner Survey: “Wisdom of Crowds Business Intelligence Market Study®”, 2012. The survey 859 completed, qualified participants http://sandhill.com/article/dresner-study-reveals-changes-in-the-business-intelligence-market/
Poor usability
Difficult to use
Lacks flexibility
Not intuitive
Lack of agility
Fast changing requirements
Poor performance
Irrelevant information
Siloed data
New cloud and NoSQL sources
Big Data
Rapid provisioning of data
Simplifies data integration with cross platform SQL queries
Optional embedded database for speed and ease of use
Easily transform and cleanse data from your desktop
Compare and sync data between different data sources
Publish views, snapshots and data sets to Toad Intelligence Central for sharing with other users
Drag and drop SQL IDE
Write robust SQL statements with code completion, automatic formatting and SQL recall tools
Visually create queries and understand database relationships
Develop advanced cross platform queries with drag and drop UI
Built-in analytics, reporting and visualizations
Navigate interactive data visualizations or design professional charts
Access advanced mathematical and statistical functions through SQL
Automate
* Automate and schedule frequent workflows and tasks
“We wanted a simple-to-administer solution that would let us easily deliver data and data analysis tools to users’ desktops. That is what we got with the Toad Business Intelligence Suite.”Brad T. Smith, Director of Payroll Services and Human Resource Information Systems (HRIS)
Oracle Student Information System
Recruiting efforts increased so we needed to connect to MySQL CRM
Converted to new SalesForce CRM (Cloud)
Learning Management System (LMS) complex reports needed for Financial Aid requirements
Network account information stored in SQL Server
