Companies that are moving, or considering moving to S/4HANA to make business decisions that will achieve a real-time market, can only accomplish this if their data is accurate and up to date at the time of migration. Information Excellence gives your company the advantage of doing business in real time with centralized and correct data and master data, while other companies are making critical business decisions on outdated content.
Slides: The Business Value of Data ModelingDATAVERSITY
With changes in software development methodologies, the role of the data modeler has changed significantly. In many organizations, data modelers now find themselves on the outside looking in, relegated to documentation "after the fact" rather than active participation where the true value is added. In order to participate fully, modelers must not only adapt to an Agile work style, but must also be able to communicate the business value of model driven development.
This session is based on a real case study in which data modeling was introduced part-way through a significant software development project that was quickly losing momentum due to high defect levels. Ron Huizenga will show the contrast in metrics and cost when utilizing skilled data modelers versus a development-only approach, with topics including:
Modeler participation in multiple Agile teams
Defect categories and impact
Measurement and analysis techniques
Remediation strategy
Breakthrough quality improvements
This "must see" session is not only for data modelers and architects, but also the decision makers for these initiatives, with information that is vital to modelers, IT executives and business sponsors. So bring your boss to the session!
.
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.
The New Enterprise Blueprint featuring the Gartner Magic QuadrantLindaWatson19
Read how Solix Big Data Suite manages the entire data lifecycle without sacrificing governance, compliance, or performance. This newsletter can help you start the enterprise Hadoop journey without having to choose between operational efficiency and BI.
360 metadata - crucial for digital marketing - framework for youHeimo Hänninen
Digital Marketing requires high quality metadata about: your consumers, your products, product data and marketing content, your partners, your sales activities and pricing, to mention a few. Linked Open Data (LOD) and semantic technologies are robust, yet flexible way of merging and managing metadata for marketing from different sources. With LOD you can also realize Enterprise Linked Data in wider scope.
Data Quality Tools Market PPT 2021-26 | Enhancing Huge Growth and Latest Tren...IMARC Group
According to the latest report by IMARC Group,the global data quality tools market exhibited strong growth during 2015-2020.
Data quality tools are used for enhancing the quality of the data through various standardized processes for analyzing datasets and converting them into meaningful information by identifying, understanding and resolving the problems.
Slides: The Business Value of Data ModelingDATAVERSITY
With changes in software development methodologies, the role of the data modeler has changed significantly. In many organizations, data modelers now find themselves on the outside looking in, relegated to documentation "after the fact" rather than active participation where the true value is added. In order to participate fully, modelers must not only adapt to an Agile work style, but must also be able to communicate the business value of model driven development.
This session is based on a real case study in which data modeling was introduced part-way through a significant software development project that was quickly losing momentum due to high defect levels. Ron Huizenga will show the contrast in metrics and cost when utilizing skilled data modelers versus a development-only approach, with topics including:
Modeler participation in multiple Agile teams
Defect categories and impact
Measurement and analysis techniques
Remediation strategy
Breakthrough quality improvements
This "must see" session is not only for data modelers and architects, but also the decision makers for these initiatives, with information that is vital to modelers, IT executives and business sponsors. So bring your boss to the session!
.
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.
The New Enterprise Blueprint featuring the Gartner Magic QuadrantLindaWatson19
Read how Solix Big Data Suite manages the entire data lifecycle without sacrificing governance, compliance, or performance. This newsletter can help you start the enterprise Hadoop journey without having to choose between operational efficiency and BI.
360 metadata - crucial for digital marketing - framework for youHeimo Hänninen
Digital Marketing requires high quality metadata about: your consumers, your products, product data and marketing content, your partners, your sales activities and pricing, to mention a few. Linked Open Data (LOD) and semantic technologies are robust, yet flexible way of merging and managing metadata for marketing from different sources. With LOD you can also realize Enterprise Linked Data in wider scope.
Data Quality Tools Market PPT 2021-26 | Enhancing Huge Growth and Latest Tren...IMARC Group
According to the latest report by IMARC Group,the global data quality tools market exhibited strong growth during 2015-2020.
Data quality tools are used for enhancing the quality of the data through various standardized processes for analyzing datasets and converting them into meaningful information by identifying, understanding and resolving the problems.
Research study based on insights from more than 900 organizations. Includes analysis of 14 key areas for making IT Operations effective in Digital Economy
With recent acquisitions of master data management, process automation, and data governance capabilities, Precisely accelerates its leadership in data integrity with the broadest solution available from any one company. Join us in this webinar to learn about:
- The importance of data integrity for building business opportunities based on trusted data.
- How Winshuttle’s master data management and process automation products help achieve trust in data.
- How data governance capabilities from Infogix bridge the gap between business and IT to map your data integrity journey.
Digital Enterprise Journal identified 20 technology vendors that are providing innovative solutions for extracting business context from IT monitoring data and enabling multiple non-IT job roles to make better informed decisions. It should be noted that the primary purpose of the majority of these solutions is still IT performance monitoring, but their ability to provide business insights make them more valuable for end-user organizations, especially those that are looking to become digital businesses.
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.
Top 4 Priorities in Building Insurance Data Governance Programs That WorkPrecisely
Traditional insurance data governance initiatives fail by focusing too heavily on policies, compliance, and enforcement, which quickly lose business interest and support. This leaves governance leaders and data stewards having to continually make the case for data governance to secure business adoption.
During this on-demand webinar, we will share the core components of a business-first data governance approach that promotes organizational adoption, lays the foundation for data integrity, and consistently delivers business value for the long term.
Optimize Business Intelligence Efforts With Embedded, Application-Driven Anal...SAP Analytics
Want to discover, procure, and provision business intelligence data more effectively? Forrester Consulting has a suggestion: embedded, application-driven analytics.
How to Use Algorithms to Scale Digital BusinessTeradata
Gartner defines digital business as the creation of new business designs by blurring the digital and physical worlds. Digital business creates new business opportunities, but the amount of data generated will eclipse the human ability to process it. Further, many complex decisions will need to be made in timeframes, and at scales, that are impossible by human actors. Gartner analyst Chet Geschickter will explain share advice on how to leverage algorithmic business principles to drive digital business success.
Data Integrity: The Baseline for InnovationPrecisely
Leveraging technology to achieve innovative and disruptive business outcomes is top of mind for IT Executives. Delivering on that is a strategic balancing act of solving complex data issues that impact overall data integrity, while empowering teams to achieve those goals. Precisely, the global leader in data integrity shares the value of enabling your teams with the ability to access, understand, trust, and add context to data through our data integrity portfolio. With unmatched data expertise, Precisely builds partnerships to manage your technology needs with a unique combination of flexible and modular software, data enrichment, and strategic services.
Users and customers don't just want products and services anymore - they also want the data and analytics that are under the hood! The good news is that delivering value with data is more achievable than ever before thanks to greater access to diverse data sources and the ability to process, blend, and refine data at unprecedented scale.
DAMA Australia: How to Choose a Data Management ToolPrecisely
The explosion of data types, sources, and use cases makes it difficult to make the right decisions around the best data management tools for your organisation. Why do you need them? Who is going to use them? What is their value?
Watch this webinar on-demand to learn how to demystify the decision making process for the selection of Data Management Tools that support:
· Data governance
· Data quality
· Data modelling
· Master data management
· Database development
· And more
HR Industry Spotlight: Oil & Gas. Proactively prepare for change and build a ...Nakisa
In an industry where competition for talent is high and attracting and retaining skilled workers is fundamental to business success, using an integrated organization and talent management solution is key. With the right processes and technology, you can reduce the risk and uncertainty of making critical enterprise and talent decisions by having accurate, real-time information at your finger-tips. Leveraging the simple user-interface and robust analytics, turn data into intelligence and gain confidence in the org and talent decisions you make for your enterprise.
These slides—based on the webinar featuring John L Myers, managing research director for data and analytics at leading IT analyst firm Enterprise Management Associates (EMA), and Neil Barton, chief technology officer at WhereScape—highlight how the world of streaming data pipelines and automation practices for analytical environments intersect to provide value to both business stakeholders and corporate technologists.
View these slides to learn about:
- Drivers behind the growth of streaming usage scenarios
- Challenges that streaming data presents
- Value of automation techniques and technologies
- Benefits of applying automation to streaming data pipelines
- How WhereScape® automation with Streaming can fast-track streaming data use in your data landscape
Sarah deLiefde, Practice Leader in Gartner's Supply Chain Research Group, held a webinar on how corporate changes will impact the Quality Role by 2020. Specifically, there are 8 trends shaping corporate functions:
Customer-Centric Data Management for Better Customer ExperiencesInformatica
With consumer and business buyer expectations growing exponentially, more businesses are competing on the basis of customer experience. But executing preferred customer experiences requires data about who your customers are today and what will they likely need in the future. Every business can benefit from an AI-powered master data management platform to supply this information to line-of-business owners so they can execute great experiences at scale. This same need is true from an internal business process perspective as well. For example, many businesses require better data management practices to deliver preferred employee experiences. Informatica provides an MDM platform to solve for these examples and more.
Customer-Centric Data Management for Better Customer ExperiencesInformatica
With consumer and business buyer expectations growing exponentially, more businesses are competing on the basis of customer experience. But executing preferred customer experiences requires data about who your customers are today and what will they likely need in the future. Every business can benefit from an AI-powered master data management platform to supply this information to line-of-business owners so they can execute great experiences at scale. This same need is true from an internal business process perspective as well. For example, many businesses require better data management practices to deliver preferred employee experiences. Informatica provides an MDM platform to solve for these examples and more.
Digital Transformation: Moving Beyond Enterprise Content Management to Conten...Zia Consulting
Recent technology acquisitions, enhanced user needs, new security risks, and varying governance requirements all contribute to the changing landscape of the enterprise content management (ECM) industry and the move toward complete content solutions. Most major corporations recognize that ECM tools can bring about substantial improvements in process efficiency, error reduction, and cost savings, but can be difficult to achieve with legacy systems and outdated methods.
As the complexity of content continues to grow, you need a modern content solution that can respond quickly. However, in this rapidly changing space, it can be hard to understand the available solutions and what to consider in the buying process. Join Zia Consulting, Ephesoft, and ASG Technologies for a discussion on transforming how your organization interacts with your information assets, covering topics such as:
Building business processes that work
Automating information governance
Integrating your content management system with other tools
How to drive actionable data intelligence
Cloud-first/hybrid approach
During this presentation, you will learn how our customers have made significant technology changes and advancements to revolutionize how they do business and manage information. You’ll also hear how we have built solutions that meet the needs of their business faster than ever before.
Research study based on insights from more than 900 organizations. Includes analysis of 14 key areas for making IT Operations effective in Digital Economy
With recent acquisitions of master data management, process automation, and data governance capabilities, Precisely accelerates its leadership in data integrity with the broadest solution available from any one company. Join us in this webinar to learn about:
- The importance of data integrity for building business opportunities based on trusted data.
- How Winshuttle’s master data management and process automation products help achieve trust in data.
- How data governance capabilities from Infogix bridge the gap between business and IT to map your data integrity journey.
Digital Enterprise Journal identified 20 technology vendors that are providing innovative solutions for extracting business context from IT monitoring data and enabling multiple non-IT job roles to make better informed decisions. It should be noted that the primary purpose of the majority of these solutions is still IT performance monitoring, but their ability to provide business insights make them more valuable for end-user organizations, especially those that are looking to become digital businesses.
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.
Top 4 Priorities in Building Insurance Data Governance Programs That WorkPrecisely
Traditional insurance data governance initiatives fail by focusing too heavily on policies, compliance, and enforcement, which quickly lose business interest and support. This leaves governance leaders and data stewards having to continually make the case for data governance to secure business adoption.
During this on-demand webinar, we will share the core components of a business-first data governance approach that promotes organizational adoption, lays the foundation for data integrity, and consistently delivers business value for the long term.
Optimize Business Intelligence Efforts With Embedded, Application-Driven Anal...SAP Analytics
Want to discover, procure, and provision business intelligence data more effectively? Forrester Consulting has a suggestion: embedded, application-driven analytics.
How to Use Algorithms to Scale Digital BusinessTeradata
Gartner defines digital business as the creation of new business designs by blurring the digital and physical worlds. Digital business creates new business opportunities, but the amount of data generated will eclipse the human ability to process it. Further, many complex decisions will need to be made in timeframes, and at scales, that are impossible by human actors. Gartner analyst Chet Geschickter will explain share advice on how to leverage algorithmic business principles to drive digital business success.
Data Integrity: The Baseline for InnovationPrecisely
Leveraging technology to achieve innovative and disruptive business outcomes is top of mind for IT Executives. Delivering on that is a strategic balancing act of solving complex data issues that impact overall data integrity, while empowering teams to achieve those goals. Precisely, the global leader in data integrity shares the value of enabling your teams with the ability to access, understand, trust, and add context to data through our data integrity portfolio. With unmatched data expertise, Precisely builds partnerships to manage your technology needs with a unique combination of flexible and modular software, data enrichment, and strategic services.
Users and customers don't just want products and services anymore - they also want the data and analytics that are under the hood! The good news is that delivering value with data is more achievable than ever before thanks to greater access to diverse data sources and the ability to process, blend, and refine data at unprecedented scale.
DAMA Australia: How to Choose a Data Management ToolPrecisely
The explosion of data types, sources, and use cases makes it difficult to make the right decisions around the best data management tools for your organisation. Why do you need them? Who is going to use them? What is their value?
Watch this webinar on-demand to learn how to demystify the decision making process for the selection of Data Management Tools that support:
· Data governance
· Data quality
· Data modelling
· Master data management
· Database development
· And more
HR Industry Spotlight: Oil & Gas. Proactively prepare for change and build a ...Nakisa
In an industry where competition for talent is high and attracting and retaining skilled workers is fundamental to business success, using an integrated organization and talent management solution is key. With the right processes and technology, you can reduce the risk and uncertainty of making critical enterprise and talent decisions by having accurate, real-time information at your finger-tips. Leveraging the simple user-interface and robust analytics, turn data into intelligence and gain confidence in the org and talent decisions you make for your enterprise.
These slides—based on the webinar featuring John L Myers, managing research director for data and analytics at leading IT analyst firm Enterprise Management Associates (EMA), and Neil Barton, chief technology officer at WhereScape—highlight how the world of streaming data pipelines and automation practices for analytical environments intersect to provide value to both business stakeholders and corporate technologists.
View these slides to learn about:
- Drivers behind the growth of streaming usage scenarios
- Challenges that streaming data presents
- Value of automation techniques and technologies
- Benefits of applying automation to streaming data pipelines
- How WhereScape® automation with Streaming can fast-track streaming data use in your data landscape
Sarah deLiefde, Practice Leader in Gartner's Supply Chain Research Group, held a webinar on how corporate changes will impact the Quality Role by 2020. Specifically, there are 8 trends shaping corporate functions:
Customer-Centric Data Management for Better Customer ExperiencesInformatica
With consumer and business buyer expectations growing exponentially, more businesses are competing on the basis of customer experience. But executing preferred customer experiences requires data about who your customers are today and what will they likely need in the future. Every business can benefit from an AI-powered master data management platform to supply this information to line-of-business owners so they can execute great experiences at scale. This same need is true from an internal business process perspective as well. For example, many businesses require better data management practices to deliver preferred employee experiences. Informatica provides an MDM platform to solve for these examples and more.
Customer-Centric Data Management for Better Customer ExperiencesInformatica
With consumer and business buyer expectations growing exponentially, more businesses are competing on the basis of customer experience. But executing preferred customer experiences requires data about who your customers are today and what will they likely need in the future. Every business can benefit from an AI-powered master data management platform to supply this information to line-of-business owners so they can execute great experiences at scale. This same need is true from an internal business process perspective as well. For example, many businesses require better data management practices to deliver preferred employee experiences. Informatica provides an MDM platform to solve for these examples and more.
Digital Transformation: Moving Beyond Enterprise Content Management to Conten...Zia Consulting
Recent technology acquisitions, enhanced user needs, new security risks, and varying governance requirements all contribute to the changing landscape of the enterprise content management (ECM) industry and the move toward complete content solutions. Most major corporations recognize that ECM tools can bring about substantial improvements in process efficiency, error reduction, and cost savings, but can be difficult to achieve with legacy systems and outdated methods.
As the complexity of content continues to grow, you need a modern content solution that can respond quickly. However, in this rapidly changing space, it can be hard to understand the available solutions and what to consider in the buying process. Join Zia Consulting, Ephesoft, and ASG Technologies for a discussion on transforming how your organization interacts with your information assets, covering topics such as:
Building business processes that work
Automating information governance
Integrating your content management system with other tools
How to drive actionable data intelligence
Cloud-first/hybrid approach
During this presentation, you will learn how our customers have made significant technology changes and advancements to revolutionize how they do business and manage information. You’ll also hear how we have built solutions that meet the needs of their business faster than ever before.
Integration allows rapid business reconfiguration to create new business models and ecosystems while continually optimizing customer experience and business operations.
CIO priorities and Data Virtualization: Balancing the Yin and Yang of the ITDenodo
Watch here: https://bit.ly/3iGMsH6
Today’s CIOs carry a paradoxical responsibility of balancing the yin and yang of the Business – IT interface. That is, "Backroom IT’s quest for Stability" with the “Frontline Business’ need for Agility".
A paradox that is no longer optional, but is essential. A paradox that defines the business competitiveness, business survival, and business sustainability. Also enables the visibility to the fuzzy future.
“Trusted Data Foundation with Data Virtualization” provides a powerful ammunition in the hands of the CIO, to effectively balance these Yin and Yang at the speed of the business. In a trusted, compliant, auditable, flexible and regulated fashion.
Find out more on how you can enhance the competitive edge for your business in the CIO special webinar from COMPEGENCE and DENODO.
Capgemini’s Data WARP: Accelerate your Journey to InsightsCapgemini
More data, more insights. Data is at the center of change and business value! There is no limit to volume, structure of timing. But more data brings more challenges, like cost of storage, increased complexity of the data architecture and a lack of agility. Many organizations are still faced with scattered data lying in silos across the organization. They often lack a clear business case for funding a transform of their data landscape. Or they suffer from ineffective co-ordination of Data and analytics initiatives. Finally, the dependency on legacy systems for data processing and management is still high. Data WARP (Wide Angle Rationalization Program) helps organizations improve the performance of their data & insights architecture landscape, by providing key deliverables like rationalization designs, business cases and transformation roadmap.
Presented at Informatica World 2016 by Jorgen Heizenberg, CTO- Netherlands, Capgemini Insights & Data
Modern Data Challenges require Modern Graph TechnologyNeo4j
This session focuses on key data trends and challenges impacting enterprises. And, how graph technology is evolving to future-proof data strategy and architectures.
The SAP solutions for Enterprise Information Management (EIM) Overview presentation provides a comprehensive overview on the portfolio of EIM solutions.
Why there are so many problems with streamlining data strategy ? What are the major problems ? How do you solve them ?
Using an approach based on Agile and Lean Concepts to achieve the goal of actionable data & analytics
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.
Align Business Data & Analytics for Digital TransformationPerficient, Inc.
Your success in the digital world relies primarily on how well you manage and analyze the data coming from disparate internal systems and external channels. You need to understand how to innovate and leverage digital data to drive sales and productivity.
Existing principles driving traditional data architecture are inadequate to support the volume, variety, and velocity of this new data ecosystem. In these scenarios, information governance (master data management, metadata, data quality and data governance) becomes highly critical in terms of providing the context for operational, competitive and advanced analytics.
Companies require a data architecture and strategy that can support efficient digital transformation by unlocking the value in all data sources to provide mission-critical insights and informed decision-making.
Our experts covered:
-Five information management pillars necessary for digital transformation
-Stages of digital information maturity, reflecting the typical path of an organization implementing this new data ecosystem
-Issues, challenges, and approaches to governing this new architecture
[DSC Adria 23] Thomas Miebach A modern, business focused data strategy with C...DataScienceConferenc1
In this session we’ll highlight some key challenges with the “old” data world, and how to overcome them with a modern data strategy focused on the business outcomes. We’ll illustrate how Collibra fits into this strategy and how Collibra supports it.
Réinventez le Data Management avec la Data Virtualization de DenodoDenodo
Regardez la version complète du webinar à la demande ici: https://goo.gl/ZxRqmX
"D'ici à 2020, 50% des entreprises mettront en œuvre une forme de virtualisation des données comme une option pour l'intégration de données", selon le cabinet d’analystes Gartner. La virtualisation des données ou data virtualization est devenue une force motrice pour les entreprises pour la mise en œuvre d’une architecture de données d'entreprise agile, temps réel et flexible.
Au sommaire de ce webinar:
Denodo et son positionnement sur le marché de la Data Virtualization
Les principales fonctionnalités
Démo/vidéo
Les principaux cas d’usage. Présentation d'un cas client : comment Intel a repensé l’architecture de ses données avec la Data Virtualization
Les ressources
Questions/Réponses
Similar to Information Excellence for Digital Transformation (20)
Watch these slides as Method360’s Senior Enterprise Information Management consultant, Patrick Hanck, takes us through a real-life use case that ties sales opportunities captured in real-time, consumer to store proximities, and store stock levels to determine targeted discount logic for source e-commerce system.
Method360’s Senior BI Consultant, Jeremy Alper, explores the process of building out executive level Tableau dashboards from beginning to end. From gathering requirements, to UI/UX design, this webinar will cover everything needed to create dashboards your executives will love! Make sure you watch this webinar on our YouTube channel.
Accelerating Your Retail Environment - Agile-Driven QA and TestingMethod360
View this presentation to understand how you can restructure your project efforts and priorities to accelerate your retail environment.
Quality Assurance Director, Sunny Hiran, will review the benefits of implementing an agile-driven quality assurance and testing framework to achieve targeted validation and certification activities in an accelerated pace.
Learn how you can translate your Big Data insights into action by leveraging a "Crosshairs" solution, powered by ClearPoint Strategy. This solution can help you focus on the objective at hand so you can effectively hit your target without having to wait for long IT development cycles or complex technical implementation projects.
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.
Transforming Business Intelligence TestingMethod360
Learn how to strategically plan your manual and automated BI testing efforts so that it translates into a seamless and targeted tactical test execution phase leading to significant cost savings, increased reporting accuracy and greater business confidence.
Leveraging SAP HANA with Apache Hadoop and SAP AnalyticsMethod360
The rise of big data and the Apache Hadoop platform allows for the capture and processing of data at an unprecedented scale and velocity. Watch this slide deck to get a comprehensive overview of the Apache Hadoop platform architecture and learn how to leverage the strengths of both the Apache Hadoop and SAP HANA platforms.
Performance Testing: Eliminate System Outages and Save MillionsMethod360
Within minutes, organizations can incur losses totaling tens of millions of dollars due to unplanned production outages that are the result of poor performance. This presentation will give you an understanding of critical success factors that will allow you to implement cost-effective and scalable performance test initiatives.
Leverage Social Media Data with SAP Data ServicesMethod360
Customer opinion data is increasingly more available with access to streams of social media data. Attend this webcast to gain insight into how SAP Data Services can be utilized to capture unstructured information and transform it into actionable customer sentiment upon which decisions can be based.
Reconciling your Enterprise Data Warehouse to Source SystemsMethod360
Implementing and an enterprise BI system is a significant organization investment. Too many times the expected benefit of that investment isn’t realized due to inconsistent data between the organization’s operational and BI systems.
This webcast will explain several options to enable your organization to leverage its investment by providing options to reconcile the data from source operational systems to BI.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).