Business intelligence (BI) refers to technologies that collect, analyze, and present business data to support decision-making. Common BI applications include analytics, data mining, and business performance management. Oracle offers prebuilt BI solutions that deliver insights across various business functions like sales, customer service, finance, supply chain, and human resources. These solutions provide metrics, reports, and analytics to improve business performance and compliance.
The document is a presentation about Oracle Business Intelligence by Souvik Chakraborty. It discusses how business success depends on goal achievement which requires sound decisions based on good information and proper data analysis. It then summarizes some key features of Oracle Business Intelligence like tapping diverse data sets, dashboards, drill down capability, and self-service access. Finally, it provides examples of how BI can help with metrics, advanced analytics, banking analytics, and maximizing returns through better decision making.
Oracle BI Applications provide pre-built analytics solutions that are integrated with Oracle and non-Oracle applications like EBS, PeopleSoft, Siebel, and JD Edwards. They allow users to gain insights from existing operational data without needing custom development. The presentations highlights the business need for pre-built analytics applications and an overview of Oracle's BI strategy and applications.
Big data analytics is used to extract meaningful insights from data through identifying hidden patterns, correlations, trends, and customer preferences. It provides advantages like better decision making and preventing fraud. Business intelligence encompasses technologies, applications, and practices for collecting, integrating, analyzing, and presenting business information and is data-driven to support decision making. Business intelligence tools allow users to identify actionable information from raw data to facilitate data-driven decision making.
The document discusses the need for business intelligence due to the complex business environment companies operate in today. It outlines several key challenges companies face related to data, processes, tracking analytics, people, and geography that make it difficult to obtain reliable and timely information for effective decision making. This can lead to uninformed decisions, inefficient processes, high costs, and data quality issues. The document argues that a business intelligence solution is needed to provide consistent metrics and insights, optimize data management and distribution, and increase sales and marketing effectiveness through real-time reporting, analytics, and visibility into performance and trends.
The document discusses business intelligence and analytics programs and careers. It provides information on topics like data mining, dashboards, enterprise resource planning systems, online analytical processing, and multidimensional data models. It also lists relevant course descriptions and curriculum from technical schools and colleges to prepare for careers in fields like business intelligence specialist, business intelligence developer, and business intelligence report developer.
1) Business intelligence (BI) systems help organizations analyze large amounts of operational data and gain useful insights to make more informed decisions.
2) BI involves collecting, analyzing and organizing critical information from across an organization to focus on important strategic and operational issues. It allows data to be organized and analyzed in a better way to convert it into useful knowledge.
3) The primary goals of BI are to avoid surprises, identify threats and opportunities, understand vulnerabilities, decrease reaction time, outthink competition, and protect intellectual capital.
- Business intelligence (BI) is the set of techniques and tools for transforming raw data into meaningful and useful information for business analysis, and involves a combination of data warehousing and decision support systems.
- The key components of a BI system include user query and reporting, OLAP, data mining, analytics, business performance management, and enterprise management.
- BI solutions help organizations store and analyze data, understand strengths and weaknesses, reduce decision-making time, measure key performance indicators, and avoid guesswork to improve performance.
- Common BI tools include Oracle BI, SAP BusinessObjects, Microsoft BI, Oracle Hyperion, IBM Cognos, and SAS Enterprise BI server. However, Oracle BI Foundation Suite is
The document is a presentation about Oracle Business Intelligence by Souvik Chakraborty. It discusses how business success depends on goal achievement which requires sound decisions based on good information and proper data analysis. It then summarizes some key features of Oracle Business Intelligence like tapping diverse data sets, dashboards, drill down capability, and self-service access. Finally, it provides examples of how BI can help with metrics, advanced analytics, banking analytics, and maximizing returns through better decision making.
Oracle BI Applications provide pre-built analytics solutions that are integrated with Oracle and non-Oracle applications like EBS, PeopleSoft, Siebel, and JD Edwards. They allow users to gain insights from existing operational data without needing custom development. The presentations highlights the business need for pre-built analytics applications and an overview of Oracle's BI strategy and applications.
Big data analytics is used to extract meaningful insights from data through identifying hidden patterns, correlations, trends, and customer preferences. It provides advantages like better decision making and preventing fraud. Business intelligence encompasses technologies, applications, and practices for collecting, integrating, analyzing, and presenting business information and is data-driven to support decision making. Business intelligence tools allow users to identify actionable information from raw data to facilitate data-driven decision making.
The document discusses the need for business intelligence due to the complex business environment companies operate in today. It outlines several key challenges companies face related to data, processes, tracking analytics, people, and geography that make it difficult to obtain reliable and timely information for effective decision making. This can lead to uninformed decisions, inefficient processes, high costs, and data quality issues. The document argues that a business intelligence solution is needed to provide consistent metrics and insights, optimize data management and distribution, and increase sales and marketing effectiveness through real-time reporting, analytics, and visibility into performance and trends.
The document discusses business intelligence and analytics programs and careers. It provides information on topics like data mining, dashboards, enterprise resource planning systems, online analytical processing, and multidimensional data models. It also lists relevant course descriptions and curriculum from technical schools and colleges to prepare for careers in fields like business intelligence specialist, business intelligence developer, and business intelligence report developer.
1) Business intelligence (BI) systems help organizations analyze large amounts of operational data and gain useful insights to make more informed decisions.
2) BI involves collecting, analyzing and organizing critical information from across an organization to focus on important strategic and operational issues. It allows data to be organized and analyzed in a better way to convert it into useful knowledge.
3) The primary goals of BI are to avoid surprises, identify threats and opportunities, understand vulnerabilities, decrease reaction time, outthink competition, and protect intellectual capital.
- Business intelligence (BI) is the set of techniques and tools for transforming raw data into meaningful and useful information for business analysis, and involves a combination of data warehousing and decision support systems.
- The key components of a BI system include user query and reporting, OLAP, data mining, analytics, business performance management, and enterprise management.
- BI solutions help organizations store and analyze data, understand strengths and weaknesses, reduce decision-making time, measure key performance indicators, and avoid guesswork to improve performance.
- Common BI tools include Oracle BI, SAP BusinessObjects, Microsoft BI, Oracle Hyperion, IBM Cognos, and SAS Enterprise BI server. However, Oracle BI Foundation Suite is
There are a variety of tools used to collect, organize and analyze business data for intelligence purposes. These include spreadsheets for visual data management, reporting and querying software to extract and summarize data, online analytical processing to quickly answer multi-dimensional queries, data mining to uncover patterns, data warehousing for comprehensive reporting, process mining to determine business processes from event logs, digital dashboards for real-time overviews, and performance management tools. Understanding these business intelligence tools is essential for companies to utilize data analytics and make better decisions.
Business intelligence (BI) refers to transforming raw company data into usable information through specialized computer programs. Raw data from transaction systems can be aggregated and manipulated in BI applications to generate information like sales trend graphs. This helps address challenges where companies have large amounts of raw data but lack tools to exploit it. BI applications read data from transaction systems, transform and present it to decision makers in reports, charts, queries and alerts. For BI projects to succeed, management must be committed, users involved in planning, and systems made easy to use and flexible.
Business Intelligence and Business Analyticssnehal_152
Business intelligence (BI) involves gathering, storing, and analyzing data to help organizations make better business decisions. It provides a single point of access to timely information to answer business questions. BI tools like dashboards, key performance indicators, graphical reporting, and forecasting help companies adapt quickly to changing customer preferences and market conditions. Implementing an effective BI system removes guesswork from decision making and allows for fact-based decisions through accurate, real-time data.
Business analytics is used by organizations to measure performance, identify weaknesses in processes, and support decision making. It applies methods and techniques to data from customer relationships, financial and marketing activities, supply chain management, human resources, and pricing to help businesses understand performance, remain competitive by analyzing the past, and optimize areas like sales forecasting. Business analytics is important for understanding data and predicting outcomes to maximize revenue.
Ahmed Rami Elsherif is an experienced IT Project Manager with over 20 years of experience in project management, system development, business analysis, ERP implementation and public transport systems. He has a diverse international work experience including positions in Saudi Arabia, Iraq, and Bolivia. He is PMP certified with expertise in SAP systems, project management, and business process optimization.
Business intelligence in the real time economyJohan Blomme
1. Business intelligence is evolving from reactive, historical reporting to real-time decision making embedded in business processes. This allows for more proactive responses to changing market conditions.
2. There is a shift towards self-service business intelligence where all employees can access, analyze, and share real-time data to improve decision making. Technologies like in-memory analytics enable faster, interactive analysis.
3. Collaboration and sharing of insights is facilitated by new interactive dashboard and visualization tools with Web 2.0 features. Business intelligence is becoming more user-centric and accessible for all employees.
Business intelligence (BI) involves technologies and tools used to analyze data and present actionable information to help businesses make better decisions. It allows companies to gather internal and external data, analyze trends, determine root causes, and make predictions. Well-designed BI systems provide a single point of access to timely, accurate information for all departments, facilitating improved strategic decision making and operational efficiency. The global BI market is large and growing as more companies recognize the benefits of data-driven decision making.
What is BI,Definition, examples, BI industry, Solutions, Evolution, Catogeries, Key Stages of BI, BI significance, BI technologies, tools, future of BI
Business intelligence (BI) is software and solutions that collect, analyze, and provide access to data to help users make better decisions. It includes tools like data warehousing, reporting, data mining, and dashboards. BI has grown significantly in recent years and is applied across industries like customer relationship management, supply chain management, and enterprise resource planning. It provides faster and more accessible reports to answer questions about past, present, and future business performance and goals.
This document discusses business intelligence (BI), including its definition as IT-enabled business decision making based on data analysis, why BI is important for making informed decisions and gaining competitive advantages, the advantages it provides organizations, key technologies that support BI like data warehousing and analytics tools, the common components of BI systems, how BI can be applied in management, stakeholders in BI systems, and an overview of data mining and the tools used.
Gartner: The BI, Analytics and Performance Management FrameworkGartner
Further information on BI is available at www.gartner.com. Gartner will also host its Business Intelligence Summit 2011, 31 Jan- 1 Feb, London. More information at www.europe.gartner/bi.
Download at http://DavidHubbard.net/powerpoint - This Introduction to Business Intelligence gives an overview of how Business Intelligence fits into business strategy in general. It does not go into the specific technologies of Business Intelligence. It is meant to be used to explain Business Intelligence to those not already familiar with Business Intelligence.
- Corporate data is growing rapidly at 100% every year and data generated in the past 3 years is equivalent to the previous 30 years.
- With increasing data, organizations need tools to manage data and turn it into useful information for strategic decision making.
- Business intelligence provides interactive tools for analyzing large amounts of data from different sources and transforming it into insightful reports and dashboards to help organizations make better business decisions.
This document provides an overview of business intelligence and its key components. It defines business intelligence as processes, technologies, and tools that help transform data into knowledge and plans to guide business decisions. The key components discussed include data mining, data warehousing, and data analysis. Data mining involves extracting patterns from large databases, data warehousing focuses on data storage, and data analysis is the process of inspecting, cleaning, transforming, and modeling data to support decision making.
The document discusses elements of developing a business intelligence strategy, including understanding an organization's BI maturity level, aligning metrics and goals across different business units, establishing a Business Intelligence Competency Center, and determining whether to build a BI solution from scratch or purchase pre-built BI applications. It provides an overview of various components that should be considered when creating a comprehensive BI strategy.
Business intelligence (BI) involves collecting, structuring, and analyzing data to provide useful information for making strategic, tactical, and operational decisions. The key components of BI include gathering data from various sources, storing the data in databases or data warehouses, analyzing the data, and providing access to the analyzed data through reports, dashboards, and other tools. Popular BI tools are provided by companies like SAP, IBM, SAS, Oracle, Microsoft, and MicroStrategy and are used for applications such as analyzing customer behavior, sales forecasting, financial planning, marketing campaign optimization, and supply chain management.
Business Intelligence made easy! This is the first part of a two-part presentation I prepared for one of our customers to help them understand what Business Intelligence is and what can it do...
ERP and Related Technologies
Business Processing Reengineering(BPR), Data Warehousing, Data Mining, On-line Analytical Processing(OLAP), Supply Chain Management (SCM),
Customer Relationship Management(CRM), Electronic Data Interchange (EDI)
This document provides an introduction to SAP ERP. It outlines several key business functions and processes that ERP systems integrate, including marketing and sales, supply chain management, accounting and finance, and human resources. It also discusses some SAP-specific planning tools like rough cut capacity planning and sales and operational planning. Key benefits of ERP systems include single system integration, replacing inefficient legacy systems, data access and sharing across departments, and improved business processes.
There are a variety of tools used to collect, organize and analyze business data for intelligence purposes. These include spreadsheets for visual data management, reporting and querying software to extract and summarize data, online analytical processing to quickly answer multi-dimensional queries, data mining to uncover patterns, data warehousing for comprehensive reporting, process mining to determine business processes from event logs, digital dashboards for real-time overviews, and performance management tools. Understanding these business intelligence tools is essential for companies to utilize data analytics and make better decisions.
Business intelligence (BI) refers to transforming raw company data into usable information through specialized computer programs. Raw data from transaction systems can be aggregated and manipulated in BI applications to generate information like sales trend graphs. This helps address challenges where companies have large amounts of raw data but lack tools to exploit it. BI applications read data from transaction systems, transform and present it to decision makers in reports, charts, queries and alerts. For BI projects to succeed, management must be committed, users involved in planning, and systems made easy to use and flexible.
Business Intelligence and Business Analyticssnehal_152
Business intelligence (BI) involves gathering, storing, and analyzing data to help organizations make better business decisions. It provides a single point of access to timely information to answer business questions. BI tools like dashboards, key performance indicators, graphical reporting, and forecasting help companies adapt quickly to changing customer preferences and market conditions. Implementing an effective BI system removes guesswork from decision making and allows for fact-based decisions through accurate, real-time data.
Business analytics is used by organizations to measure performance, identify weaknesses in processes, and support decision making. It applies methods and techniques to data from customer relationships, financial and marketing activities, supply chain management, human resources, and pricing to help businesses understand performance, remain competitive by analyzing the past, and optimize areas like sales forecasting. Business analytics is important for understanding data and predicting outcomes to maximize revenue.
Ahmed Rami Elsherif is an experienced IT Project Manager with over 20 years of experience in project management, system development, business analysis, ERP implementation and public transport systems. He has a diverse international work experience including positions in Saudi Arabia, Iraq, and Bolivia. He is PMP certified with expertise in SAP systems, project management, and business process optimization.
Business intelligence in the real time economyJohan Blomme
1. Business intelligence is evolving from reactive, historical reporting to real-time decision making embedded in business processes. This allows for more proactive responses to changing market conditions.
2. There is a shift towards self-service business intelligence where all employees can access, analyze, and share real-time data to improve decision making. Technologies like in-memory analytics enable faster, interactive analysis.
3. Collaboration and sharing of insights is facilitated by new interactive dashboard and visualization tools with Web 2.0 features. Business intelligence is becoming more user-centric and accessible for all employees.
Business intelligence (BI) involves technologies and tools used to analyze data and present actionable information to help businesses make better decisions. It allows companies to gather internal and external data, analyze trends, determine root causes, and make predictions. Well-designed BI systems provide a single point of access to timely, accurate information for all departments, facilitating improved strategic decision making and operational efficiency. The global BI market is large and growing as more companies recognize the benefits of data-driven decision making.
What is BI,Definition, examples, BI industry, Solutions, Evolution, Catogeries, Key Stages of BI, BI significance, BI technologies, tools, future of BI
Business intelligence (BI) is software and solutions that collect, analyze, and provide access to data to help users make better decisions. It includes tools like data warehousing, reporting, data mining, and dashboards. BI has grown significantly in recent years and is applied across industries like customer relationship management, supply chain management, and enterprise resource planning. It provides faster and more accessible reports to answer questions about past, present, and future business performance and goals.
This document discusses business intelligence (BI), including its definition as IT-enabled business decision making based on data analysis, why BI is important for making informed decisions and gaining competitive advantages, the advantages it provides organizations, key technologies that support BI like data warehousing and analytics tools, the common components of BI systems, how BI can be applied in management, stakeholders in BI systems, and an overview of data mining and the tools used.
Gartner: The BI, Analytics and Performance Management FrameworkGartner
Further information on BI is available at www.gartner.com. Gartner will also host its Business Intelligence Summit 2011, 31 Jan- 1 Feb, London. More information at www.europe.gartner/bi.
Download at http://DavidHubbard.net/powerpoint - This Introduction to Business Intelligence gives an overview of how Business Intelligence fits into business strategy in general. It does not go into the specific technologies of Business Intelligence. It is meant to be used to explain Business Intelligence to those not already familiar with Business Intelligence.
- Corporate data is growing rapidly at 100% every year and data generated in the past 3 years is equivalent to the previous 30 years.
- With increasing data, organizations need tools to manage data and turn it into useful information for strategic decision making.
- Business intelligence provides interactive tools for analyzing large amounts of data from different sources and transforming it into insightful reports and dashboards to help organizations make better business decisions.
This document provides an overview of business intelligence and its key components. It defines business intelligence as processes, technologies, and tools that help transform data into knowledge and plans to guide business decisions. The key components discussed include data mining, data warehousing, and data analysis. Data mining involves extracting patterns from large databases, data warehousing focuses on data storage, and data analysis is the process of inspecting, cleaning, transforming, and modeling data to support decision making.
The document discusses elements of developing a business intelligence strategy, including understanding an organization's BI maturity level, aligning metrics and goals across different business units, establishing a Business Intelligence Competency Center, and determining whether to build a BI solution from scratch or purchase pre-built BI applications. It provides an overview of various components that should be considered when creating a comprehensive BI strategy.
Business intelligence (BI) involves collecting, structuring, and analyzing data to provide useful information for making strategic, tactical, and operational decisions. The key components of BI include gathering data from various sources, storing the data in databases or data warehouses, analyzing the data, and providing access to the analyzed data through reports, dashboards, and other tools. Popular BI tools are provided by companies like SAP, IBM, SAS, Oracle, Microsoft, and MicroStrategy and are used for applications such as analyzing customer behavior, sales forecasting, financial planning, marketing campaign optimization, and supply chain management.
Business Intelligence made easy! This is the first part of a two-part presentation I prepared for one of our customers to help them understand what Business Intelligence is and what can it do...
ERP and Related Technologies
Business Processing Reengineering(BPR), Data Warehousing, Data Mining, On-line Analytical Processing(OLAP), Supply Chain Management (SCM),
Customer Relationship Management(CRM), Electronic Data Interchange (EDI)
This document provides an introduction to SAP ERP. It outlines several key business functions and processes that ERP systems integrate, including marketing and sales, supply chain management, accounting and finance, and human resources. It also discusses some SAP-specific planning tools like rough cut capacity planning and sales and operational planning. Key benefits of ERP systems include single system integration, replacing inefficient legacy systems, data access and sharing across departments, and improved business processes.
Renew OnDemand™ is the industry's only cloud application built specifically to maximize recurring revenue. This application arms sales teams, executives, and channel partners with a complete system to renew customer contracts and subscriptions. Watch the demo to learn how Renew OnDemand can help you retain more customers and increase your recurring revenue.
Microsoft Dynamics NAV is a business management solution for small and midsize organizations. It provides integrated functionality for financial management, supply chain management, manufacturing, customer relationship management and more. The presentation highlights new features of Dynamics NAV including enhanced role-tailored user experiences, cash flow forecasting, manufacturing solutions, value propositions for specific industries, customer testimonials, and a focus on enabling business productivity and confident decision-making.
The document announces a conference called "Best Practices for Consumer Products" to be held October 5-7, 2015 in Atlanta, Georgia. The conference will bring together hundreds of business and IT professionals from consumer products companies to share best practices and innovative strategies around topics like integrated business planning, supply chain management, e-commerce, analytics, and more. Attendees will learn how to maximize their existing technology investments and stay on the leading edge of the industry.
- The company was established in 1994 and is headquartered in California, trading under the name EPIC. In 2005, its revenue was $290 million and it serves over 20,000 customers in 140 countries.
- It develops end-to-end, industry specific solutions including finance and accounting, payroll and HR, supply chain management, and customer relationship management.
- The company provides global services and support through 2000 professionals serving customers in 30 languages across Americas, Europe, Middle East, Africa and Asia Pacific.
The demand for BI continues to grow, and while there's no question that analytics brings value, there is often uncertainty about how BI initiatives will deliver bottom-line benefits. Your business case for BI should prove ROI, but this is not always a straightforward process.
The document provides an overview of Oracle E-Business Suite Release 12. Key points include:
- Release 12 provides a flexible architecture to meet the needs of dynamic global businesses.
- It enables users to think globally, work globally, and manage systems globally.
- New features improve global decision making, financial consolidation, profitability analysis, and other capabilities.
Coman Bank of India is seeking to adopt analytics to improve customer retention, cross-selling, and risk assessment. The bank currently has issues with high customer churn of 4% and single-product customers comprising 50% of its base. It aims to reduce churn to less than 2% and increase cross-selling to 40% of customers. The bank also aims to reduce fraud and loan defaults from the current 4% loss level. It has data available in its FINACLE core banking system and enterprise data warehouse. The analytics vendor's scope of work includes customer segmentation, identifying reasons for churn, and risk/fraud analysis. Success will be measured based on ROI, data loading time, scalability, integrity, complexity, and
Coman Bank of India is seeking to adopt analytics to improve customer retention, cross-selling, and risk assessment. The bank currently has issues with high customer churn of 4% and single-product customers comprising 50% of its base. It aims to reduce churn to less than 2% and increase cross-selling to 40% of customers. The bank also aims to reduce fraud and loan defaults from the current 4% loss level. It has data available in its FINACLE banking system and enterprise data warehouse. The proposed scope of work includes customer segmentation, identifying reasons for churn, and risk/fraud analysis. Success will be measured based on ROI, data loading time, scalability, integrity, complexity, and security. The
This document provides an overview of business analytics services from SAP, including enterprise performance management, services for performance analytics, and governance, risk, and compliance services. SAP offers business intelligence, enterprise information management, and enterprise performance management services to help customers make informed decisions, align strategy and execution, and maximize returns on IT investments. Their consultants can help customers develop and implement analytics solutions to improve performance and compliance.
Dyutiman Bhattacharjee has over 11 years of experience in finance and business analysis roles. His skills include reporting, training, process improvement, and he has a track record of increasing growth, reducing costs, and automating manual processes. He is currently a Business Planning Analyst at Apollo Microcredit & Benefit Services where he focuses on financial planning and analysis, sales management, and business process improvement.
Organizations are looking to maximize the value and return on their investments in SAP solutions. Value realization is Accenture's approach to helping clients define, manage, and capture business value from transformation projects. It provides ongoing processes to ensure projects are oriented towards business impacts and delivering targeted performance improvements. Accenture has tools like the Business Optimization Seeker for SAP to assess post-implementation opportunities for additional value through areas like inventory, purchasing, sales, and finance optimizations.
This document discusses inventory optimization strategies for companies. It begins by stating that optimal inventory levels balance inventory costs, service levels, and sales. It then explores key drivers of inventory optimization, including sales and operations planning, inventory management, demand planning, vendor management, and key performance indicators. The document emphasizes that inventory optimization requires balancing inventory reduction with maintaining adequate service levels.
The Sales Analyst is responsible for collecting, analyzing, and reporting sales data to increase sales productivity. They must collect sales records, evaluate performance against quotas, and track key performance indicators. The Sales Analyst will create both standardized and custom reports to conduct quantitative analysis and provide support for promotions. They are also responsible for developing tools and processes to improve operational efficiency.
William M. Wilson has over 20 years of experience in senior financial management roles. He has a proven track record of improving operational efficiency, reducing costs, and enhancing financial reporting and planning processes. His skills include operational planning, management reporting, strategic planning, and systems implementation.
Rplus offers analytics solution for retail industry through cloud based DemandSense application and big data analytics platform. Retail companies can leverage data to improving the profitability and efficiency of operations at a low cost in a faster timeframe.
The document discusses the capabilities of Oniqua Analytics Solution in 6 areas:
1. Maintenance effectiveness - enabling optimized maintenance budgets by tracking performance and identifying ineffective activities.
2. Equipment performance - analyzing asset performance to maximize revenue and identify improvement opportunities.
3. Inventory optimization - determining optimal stock levels for MRO spares using analytics rather than estimates.
4. Procurement effectiveness - providing tools to move from tactical purchasing to strategic procurement through category management and supplier partnerships.
5. Supplier performance - identifying critical suppliers to focus on improving relationships and eliminating risk.
6. Supply chain effectiveness - identifying process issues to systematically improve efficiencies and reduce costs across the procure-to-pay process.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Webinar: Designing a schema for a Data WarehouseFederico Razzoli
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
- How to gather information about a business;
- Understanding dictionaries and how to identify business entities;
- Dimensions and facts;
- Setting a table granularity;
- Types of facts;
- Types of dimensions;
- Snowflakes and how to avoid them;
- Expanding existing dimensions and facts.
Project Management Semester Long Project - Acuityjpupo2018
Acuity is an innovative learning app designed to transform the way you engage with knowledge. Powered by AI technology, Acuity takes complex topics and distills them into concise, interactive summaries that are easy to read & understand. Whether you're exploring the depths of quantum mechanics or seeking insight into historical events, Acuity provides the key information you need without the burden of lengthy texts.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
2. Business Intelligence (BI) refers to technologies, applications and
practices for the collection, integration, analysis, and
presentation of business information and also sometimes to the
information itself.
The purpose of BI is to support better business decision-making.
Some applications of BI are:--
Online analytical processing, analytics, data mining, process
mining, text mining, business performance management.
2
4. • Oracle Business Intelligence (BI) Applications are
complete, prebuilt BI solutions that deliver intuitive, role-
based intelligence throughout an organization. These solutions
enable organizations to gain more insight and greater value
from a range of data sources and applications including Oracle
E Business Suite, PeopleSoft, JD Edwards, Siebel, and third
party systems such as SAP.
• Oracle BI Applications are built on the Oracle BI Suite
Enterprise Edition, a comprehensive and market leading BI
platform. This enables organizations to realize the value of a
packaged BI application, such as rapid deployment, lower
TCO, and built-in best practices, or to build custom BI
applications—all on one common BI foundation.
4
6. • Oracle Business Intelligence Applications support over a dozen
different functional areas with complete, pre-built, best-
practice analytics, and a rich set of KPIs, metrics and analytic
workflows.
• By accessing data from across the enterprise and delivering
deep insight directly to business users, Oracle Business
Intelligence Applications enable faster and more informed
decisions that help the organization optimize resources, reduce
costs, and improve the effectiveness of front-and -back-office
activities ranging from sales to human resources (HR) to
procurement.
6
7. • Oracle's ERP Analytics help front line managers improve cash
flow, control expenses, manage headcount and employee
performance, stream-line spend and supply chain operations, and track
the financial performance of major projects.
• Oracle's CRM Analytics provides fact-based insight into the
entire sales process and into product demand, customer price
sensitivity, and overall pricing effectiveness.
• They enable firms to manage and track campaign
performance, and to segment and retain the most valuable customers.
Organizations can assess the effectiveness of loyalty promotions and
partner relationships, track and analyze key service center
metrics, and generate a complete picture of contact center
performance.
7
9. Get Accurate, Timely, Transparent Reporting and Better
Compliance:--
Understand and manage the key drivers of shareholder value and
profitability. Oracle Financial Analytics helps front-line managers
improve financial performance with complete, up-to-the-minute
information on their departments' expenses and revenue
contributions. Hundreds of key performance indicators and more
than 200 reports enable financial managers to improve cash
flow, lower costs, and increase profitability while maintaining more
accurate, timely, and transparent financial reporting that helps
ensure Sarbanes-Oxley compliance.
9
10. • Payables—Assess cash management and monitor operational
effectiveness of the payables department to ensure lowest
transaction costs.
• Receivables—Monitor DSOs and cash cycles to manage working
capital, manage collections, and control receivables risk.
• General ledger—Manage financial performance across
locations, customers, products, and territories, and receive
real-time alerts on events that may impact financial condition.
• Profitability—Identify most profitable
customers, products, and channels and understand profitability
drivers across regions, divisions, and profit centers.
10
12. Deeper and Integrated Talent Insight:--
Talent management is about providing workforce information to
business leaders so they can attract, develop, and retain the best
people. With more than 300 metrics and 600 dimensional
attributes, Oracle Human Resources Analytics provides the
workforce information your human resources (HR) professionals
and front-line managers need to analyze workforce staffing and
productivity, and to better design compensation that rewards
performance. Oracle Human Resources Analytics integrates data
from a wide array of functional areas in HR and Finance, presenting
the best tools available to better source high quality
applicants, and to reduce employee retention and absence costs.
12
13. • Workforce Insight—Monitor workforce demographics in line
with your recruitment and retention objectives. Analyze
efficiency of the entire recruitment process
lifecycle, understand and prevent the drivers of employee
turnover.
• Targeted Workforce Development —Gain insight into the
movement of top and bottom performers in the organization to
engage and develop internal talent. Gain insight into learning
demand by analyzing course enrollments by job, delivery
methods, and organizations.
• Improved Compensation—Understand how compensation
impacts performance, ensure compensation is equitable and
consistent across roles, and align variable compensation with
your organization's objectives and goals.
13
14. • Leave and Absence—Get a comprehensive view into employees'
current, planned, and historical absence events; monitor absence
trends as a predictor for employee engagement.
• Better Understanding of HR Performance—Assess HR's overall
performance and employee productivity using industry
benchmarks such as revenue per employee, contribution per
headcount, and return on human capital.
• US Statutory Compliance—Monitor US EEO, AAP, and Vets100
compliance reporting.
14
15. Fact-Based, Actionable Insights for Improving Your Supply
Chain:--
Oracle Supply Chain and Order Management Analytics delivers deep
customer insight into order and inventory data so you can make
better decisions in each stage of the order lifecycle. Oracle Supply
Chain and Order Management Analytics enables you to assess
inventory levels, determine likely product fulfillment needs before
the order has been booked, quickly identify potential order backlog
issues, and stay on top of critical accounts receivable (A/R) and daily
sales outstanding (DSO) issues. By leveraging actionable and fact-
based insights, you can transform your current Supply Chain and
Order Management processes to improve financial performance and
customer satisfaction.
15
16. • Better Business Performance—Improve revenue recognition
with faster order to booking conversion and fewer bottlenecks
in the order to cash cycle.
• Better Order Fulfillment—Improve inventory management for
those products that consistently fall into backlog due to a lack
of appropriate stock levels.
• Better Inventory Management—Gain visibility into inventory
activities to minimize unnecessary expenditures and optimize
inventory to conserve working capital.
16
18. • Critical pricing decisions are made every day that affect the
ultimate profitability of an enterprise. Often, analysts and
managers are forced to determine prices and discounts with
limited information, guessing at what price the customer will pay
or using the most recent customer price as the basis for the next
price.
• Oracle Price Analytics enables users to make insight-driven
pricing decisions, to measure pricing effectiveness and to take
improvement actions, informed by consistent data and the right
business context. Users are armed with visibility into a single
consolidated view of profitability and simple-but-sophisticated
analytic tools and alerts.
18
19. • Enable Accurate, Data-Driven Pricing—Make decisions based
on valuable insight into product demand, customer price
sensitivity, and overall pricing effectiveness.
• Better Understand Impact of Pricing Decisions—Analyze and
understand impacts on product velocity, discounting on
margins, effectiveness of pricing promotions, and product
profitability across channels.
• Identify Pricing Improvement Opportunities—Understand
price drivers by considering the bottom-line impact of all
discounts, services, incentives, rebates, and marketing
programs.
19
20. • Monitor and Optimize Performance—Measure the
effectiveness of given price profiles and price segments.
Monitor corporate and regional prices and policies as they are
executed in the field.
• Proactive and Predictive Intelligence—Determine hidden
contributors to price variance, find natural clusters of
willingness-to-buy and cost-to-serve behavior, and otherwise
use data mining and statistics to improve your price insights
20
22. Dramatically Improve the Effectiveness of Your Sales People:--
Oracle Sales Analytics provides hundreds of key performance
indicators and more than 130 reports in five customizable
dashboards. These analytics solutions dramatically improve the
effectiveness of your sales people by providing real-time, actionable
insight into every sales opportunity at the point of customer contact.
With more accurate sales forecasts and enhanced identification of
potential problems and opportunities, Oracle Sales Analytics helps
close business faster and increase overall sales revenue.
22
23. • Analyze pipeline opportunities to determine actions required to
meet sales targets.
• Determine which products and customer segments generate the
most revenue.
• Understand which competitors are faced most often and how to
win against them.
• Identify up-sell and cross-sell opportunities within existing
accounts.
23
25. Get Maximum Results from Your Marketing Investment:--
Oracle Marketing Analytics allows your organization to obtain
maximum results from your marketing investments by providing your
entire marketing team with a complete, up-to-the-minute picture of
customer preferences, buying behavior, and profitability. Oracle
Marketing Analytics helps you to develop closer, more valuable
customer and prospect relationships and improve marketing
effectiveness.
25
26. • Marketing Planning—achieve better campaign response
rates, profile customers for more effective event-based
promotion, and allocate resources more effectively by
identifying what drives campaign results
• Campaign Performance—track and measure campaign
effectiveness in real time, understand factors that drive
campaign results and lead conversion rates, and compare
individual campaign results to target metrics
• Customer Insight—understand product affinity for targeted
promotions, profile customers' buying behavior for more
effective promotions, and gain better insight into segmentation
characteristics
26
28. Maintain Visibility into Project Performance Throughout the
Project Lifecycle:--
• Oracle Project Analytics offers organizations a comprehensive
analytics solution that delivers insight into project-based data to
seamlessly track the lifecycle of a project.
• Oracle Project Analytics provides robust analysis of important
project-based data such as
forecast, budgets, cost, revenue, billing, profitability and other
aspects of project management.
• It provides consolidated, timely, and complete information to
Project Managers, Project Executives, and Project Accountants.
28
29. • Control Project Costs—Enhance visibility into project costs and
variances for improved cost management and project
profitability.
• Improve Project Performance—Track and manage non credit
card invoices paid on time and interest penalties payments.
Minimize delinquent debt amounts to improve management
accountability, and reduce Treasury borrowing.
• Maximize Cash Flow—Promote the use of electronic payment to
vendors to reduce paperwork, and improve payment
performance management.
29