This document discusses IBM's Smarter Storage solutions for healthcare organizations. It describes how healthcare data volumes are growing exponentially and new approaches are needed for efficient data management. IBM Smarter Storage uses self-optimizing systems and cloud technologies to help organizations gain insights from data, improve performance and efficiencies, and reduce costs. Key capabilities of IBM Smarter Storage include efficient data management through deduplication and compression, automated performance tuning, and enabling flexible cloud deployment of storage.
Transaction processing systems (tps) in Management information systems (MIS)Mathivanan Mba
This document discusses transaction processing systems (TPS). It summarizes that a TPS is designed to process routine business transactions through automating repetitive operations in large volumes, focusing on accounting and finance transactions. Examples provided include airline reservation systems and bank account processing systems. The document notes that a TPS processes large amounts of internal data on a regular basis, requiring large storage capacity and high processing speeds. Accuracy, integrity, security, and reliability are important aspects of a TPS.
This document discusses several technologies related to enterprise resource planning (ERP) systems. It describes management information systems (MIS), decision support systems (DSS), and executive information systems (EIS) as forerunners to ERP. It defines business process reengineering (BPR) and lists seven principles of BPR. It also defines MIS, DSS, EIS, data warehousing, data mining, online analytical processing (OLAP), and supply chain management (SCM).
The document discusses an overview of enterprise data governance. It describes the goals of data governance as making data usable, consistent, open, available and reliable across an organization. It outlines the roles and responsibilities involved in data governance including an oversight committee, data stewards, data custodians and various initiatives around master data management, data quality, naming conventions, metadata management and more. The document also discusses why organizations implement data governance and how to effectively implement a data governance program.
The document discusses enterprise asset management (EAM) and asset performance management (APM) solutions. It states that EAM focuses on documenting maintenance events while APM provides continuous insights to optimize asset performance using real-time data. The document then provides information on various solutions offered by Troia, including their monitoring platform, IT service management system, augmented reality applications, and tools that integrate various data sources to provide analytics and insights.
This document discusses strategic uses of information systems and how companies can gain competitive advantages through innovative uses of technology. It provides examples of initiatives companies can take such as reducing costs, creating new products/services, and establishing strategic information systems. JetBlue is presented as a case study of a company that gained significant competitive advantages through massive automation of processes and using information systems in strategic ways like paperless ticketing and flight planning. Their late entry into the airline industry allowed them to not be burdened by legacy systems and gain significant efficiencies.
Key Prospects of Data Centre Managementanujksingh08
Data Centre management plays a significant role in protecting the data and keeping it secure, so as to avoid data security breaks. The hosted computer setting within a Data Centre is explicitly managed, while some of the management is done in an automated mode, thus saving considerable energy cost.
This document discusses how information systems can provide strategic advantages for businesses. It outlines different competitive strategies like cost leadership, differentiation, innovation, and growth. It also explains the strategic role of information systems in developing products and services that give competitive advantages. Finally, it describes how information systems can be used in business to improve operations, promote innovation, lock in customers and suppliers, create switching costs, and raise barriers to entry.
The document discusses managing IT resources for optimal results. It provides a brief history of the evolution of IT from 1990 to the present. It then discusses how IT supports decision making, business growth, customer support, automation, and globalization in organizations. Specific IT solutions like paperless processes and goal tracking are mentioned. The challenges of continually aligning business and IT operations are discussed. Case studies on how McLaren Group and Dell strategically allocate IT resources are provided. Finally, the benefits of optimally using IT resources like reduced costs, identifying bottlenecks, and consolidating resource data are summarized.
Transaction processing systems (tps) in Management information systems (MIS)Mathivanan Mba
This document discusses transaction processing systems (TPS). It summarizes that a TPS is designed to process routine business transactions through automating repetitive operations in large volumes, focusing on accounting and finance transactions. Examples provided include airline reservation systems and bank account processing systems. The document notes that a TPS processes large amounts of internal data on a regular basis, requiring large storage capacity and high processing speeds. Accuracy, integrity, security, and reliability are important aspects of a TPS.
This document discusses several technologies related to enterprise resource planning (ERP) systems. It describes management information systems (MIS), decision support systems (DSS), and executive information systems (EIS) as forerunners to ERP. It defines business process reengineering (BPR) and lists seven principles of BPR. It also defines MIS, DSS, EIS, data warehousing, data mining, online analytical processing (OLAP), and supply chain management (SCM).
The document discusses an overview of enterprise data governance. It describes the goals of data governance as making data usable, consistent, open, available and reliable across an organization. It outlines the roles and responsibilities involved in data governance including an oversight committee, data stewards, data custodians and various initiatives around master data management, data quality, naming conventions, metadata management and more. The document also discusses why organizations implement data governance and how to effectively implement a data governance program.
The document discusses enterprise asset management (EAM) and asset performance management (APM) solutions. It states that EAM focuses on documenting maintenance events while APM provides continuous insights to optimize asset performance using real-time data. The document then provides information on various solutions offered by Troia, including their monitoring platform, IT service management system, augmented reality applications, and tools that integrate various data sources to provide analytics and insights.
This document discusses strategic uses of information systems and how companies can gain competitive advantages through innovative uses of technology. It provides examples of initiatives companies can take such as reducing costs, creating new products/services, and establishing strategic information systems. JetBlue is presented as a case study of a company that gained significant competitive advantages through massive automation of processes and using information systems in strategic ways like paperless ticketing and flight planning. Their late entry into the airline industry allowed them to not be burdened by legacy systems and gain significant efficiencies.
Key Prospects of Data Centre Managementanujksingh08
Data Centre management plays a significant role in protecting the data and keeping it secure, so as to avoid data security breaks. The hosted computer setting within a Data Centre is explicitly managed, while some of the management is done in an automated mode, thus saving considerable energy cost.
This document discusses how information systems can provide strategic advantages for businesses. It outlines different competitive strategies like cost leadership, differentiation, innovation, and growth. It also explains the strategic role of information systems in developing products and services that give competitive advantages. Finally, it describes how information systems can be used in business to improve operations, promote innovation, lock in customers and suppliers, create switching costs, and raise barriers to entry.
The document discusses managing IT resources for optimal results. It provides a brief history of the evolution of IT from 1990 to the present. It then discusses how IT supports decision making, business growth, customer support, automation, and globalization in organizations. Specific IT solutions like paperless processes and goal tracking are mentioned. The challenges of continually aligning business and IT operations are discussed. Case studies on how McLaren Group and Dell strategically allocate IT resources are provided. Finally, the benefits of optimally using IT resources like reduced costs, identifying bottlenecks, and consolidating resource data are summarized.
The document discusses how information technology can increase sales and foot traffic in retail outlets located in modern malls in India. It explains that information systems can support business operations, decision making, and competitive advantage. Specifically, it suggests that customer data from loyalty programs can be used for targeted marketing campaigns. Segmenting customers based on past purchases allows retailers to anticipate future purchases and advertise related products to attract more sales and visits to the malls. Suggestions are also made to ensure marketing strategies are tailored to local customers' needs and preferences.
Nishant Haran presented on business information systems to Prof. Butchi Babu. Business information systems represent the controls and processes that businesses use to analyze information and effectively manage operations, including accounting systems. They facilitate better decision-making, allow management to review practices and formulate new strategies, and help control people and processes to achieve goals. Information systems standardize operating procedures, enable uniform work and clear accountability, and aid intelligent decision-making by analyzing options in terms of costs, time, and resources. Electronic and mobile commerce applications include e-tail, cyber mail, and banking, among others. Advantages include reduced costs and improved customer service, while threats include security issues, fraud, and lack of internet access. Def
The document discusses business analytics and big data. It provides an overview of key concepts like business process analytics, enterprise analytics capability, case studies on implementing analytics, and frameworks for business strategy, IT strategy, business process management, and enterprise architecture. The summaries emphasize linking analytics to business processes and strategy to drive business value from big data.
The document provides an overview of chapter objectives and key concepts from a textbook on information systems. It discusses the difference between data, information, and knowledge and various types of business information systems like transaction processing systems, enterprise resource planning systems, and decision support systems. It also summarizes the systems development process, competitive strategy, careers in information systems, and global challenges.
The document presents information on a project presentation about applying a management information system (MIS) in the textile industry of Bangladesh. It discusses the objectives of the project which are to understand the concept of MIS, its features and functions, implementation process, scope of application in textile industries, and advantages and limitations. It also provides details about various aspects of developing and implementing an MIS like the resources, activities, development approaches, implementation steps, available software, and applications in areas like business, sales, production, quality, materials, finance, and human resources management.
Exercise solution of chapter3 of datawarehouse cs614(solution of exercise)AYESHA JAVED
The document discusses making a company's existing data warehouse web-enabled to satisfy management's directive. Three major tasks for web-enabling the data warehouse are: 1) Bringing the data warehouse to the web to allow self-service data access, interactive analysis, and delivery to external users. 2) Capturing clickstream data from the company's website and performing ETL to load it into a webhouse for analysis. 3) Configuring the architecture of the web-enabled data warehouse to include a webhouse repository for clickstream data in addition to the traditional data warehouse repository.
A Transaction Processing System (TPS) is an information system that processes business transactions to ensure customer orders are fulfilled reliably and efficiently. Key features of a TPS include rapid response, reliability through backups and recovery, inflexibility as every transaction is treated equally, and controlled processing through standardized employee roles. To qualify as a TPS, transactions must pass the ACID test - being atomic, consistent, isolated, and durable. TPS systems can use either batch or real-time processing and rely on databases organized in hierarchical, network, or relational structures to accurately store and retrieve transaction data. A transaction processing monitor oversees transactions to ensure they proceed as intended.
Cloud computing 5 cloud and the dynamic infrastructureVaibhav Khanna
Dynamic Infrastructure is an information technology concept related to the design of data ... It can utilize alternative sourcing approaches, like cloud computing to deliver new services with agility and speed.
The Information And Its Role In BusinessSelf-employed
The document discusses the role of information systems in transforming data into useful business information through collecting and storing data over time, transforming that data into reports and insights to support decision making, and providing controls to safeguard the data while automating transaction processing and reporting for fast and accurate results. Key functions of information systems include collection, storage, transformation of data, controls and safeguarding of data, automated reporting, fast transaction processing, large storage capacities, fast access and communication, support for decision making, reduction of information overload, and cross divisional abilities to support planning, recording, controlling, measuring, and decision making.
This report helps the user to understand trends in big data, cloud and medical devices, the key players in the ecosystem , the top users of this technology
Originally Published: Jan 21, 2015
The size and complexity of data make it difficult for companies to unlock the true value of their data. IBM Information Integration Governance can improve data quality, protect sensitive data, and reduce cost and risk. Free up your resources and get more out of your data.
An Overview of Business Intelligence Technology. Business intelligence (BI) software is a collection of decision support technologies for the enterprise aimed at enabling knowledge workers such as executives, managers, and analysts to make better and faster decisions. Take a look on Business Intelligence Process and History!
Knowledge management and business intelligenceAzmi Taufik
1) Business intelligence is a set of tools and processes that analyze raw data to provide useful information to make business decisions. It includes technologies that transform data into meaningful insights.
2) Key aspects of business intelligence include allowing organizations to get a more accurate view of business and customers, increasing visibility, and enabling analysis of customer behavior.
3) Strategic knowledge management helps identify business needs, organize information flow, implement plans, and evaluate to improve by addressing goals, competitive advantage, and organizational performance.
The document discusses the evolution of business intelligence from traditional to real-time and closed-loop systems. It describes moving from batch-based transactional data warehousing to analytical applications with real-time feeds and embedded business intelligence, enabled by technologies like BPM, EAI and decision rules. This creates a more intelligent and flexible solution.
This document discusses concepts related to information, knowledge, and business intelligence. It defines data, information, and knowledge; information is processed data that is meaningful, while knowledge represents analyzed information. Business intelligence refers to gathering, processing, and maintaining live, relevant data and information to support timely decision-making. The document also covers information presentation, quality, classification, value, and knowledge management.
This document presents a case study of a retail company's implementation of a business intelligence project. It discusses how the company developed an effective business intelligence strategy that aligned intelligence outcomes with its information needs. The strategy used guiding principles and drew data from the company's ERP system. The case study provides insights for both researchers and practitioners on important factors for achieving effective business intelligence implementation.
Information system in business an introductionRavi Sidhu
This document provides an introduction to information systems in business. It discusses how data is organized and processed into meaningful information. It also describes examples of information systems like the UK Meteorological Office system and a manufacturing system. Key components of an information system like inputs, processes, outputs, storage, and feedback are explained. The history and evolution of the role of information systems in business is outlined. Examples of how information systems support business functions and help organizations respond to pressures are also provided. Case studies of information systems supporting rural development in India and hospitals are summarized.
Materials management information systems (MMIS) automate the procurement and management of supplies in healthcare organizations. Traditionally, MMIS handled requisitioning, ordering, receiving, distribution, and inventory management of supplies. Now, supply chain management (SCM) solutions are replacing MMIS by expanding management beyond the healthcare organization to include suppliers, distributors, and manufacturers, allowing for lower costs, faster delivery, and streamlined procurement. SCM solutions interface with financial and clinical systems to manage the entire supply chain and procurement process electronically.
Information systems consist of hardware, software, data, people, and procedures that work together to process organizational data into useful information. Key components include transaction processing systems, supply chain management systems, customer relationship management systems, business intelligence systems, decision support systems, and geographic information systems. As computer technology has advanced, becoming more powerful yet less expensive, and communication networks have expanded, information systems have become increasingly important in business functions like accounting, finance, marketing, and human resources.
This document discusses business information systems (BIS). It defines BIS as systems that businesses use to analyze information needed for effective management. The objectives of BIS are to facilitate better decision making, allow management to review and formulate practices and norms, and be used across all business realms and functions. BIS standardize operating procedures, define processes and controls, and allow for uniform work and accountability. BIS also aid decision making by allowing managers to evaluate options based on costs, timelines, and resources. An example is provided of how BIS could help a company choose between suppliers based on price, location, transportation costs, and requirements.
The document discusses how information technology can increase sales and foot traffic in retail outlets located in modern malls in India. It explains that information systems can support business operations, decision making, and competitive advantage. Specifically, it suggests that customer data from loyalty programs can be used for targeted marketing campaigns. Segmenting customers based on past purchases allows retailers to anticipate future purchases and advertise related products to attract more sales and visits to the malls. Suggestions are also made to ensure marketing strategies are tailored to local customers' needs and preferences.
Nishant Haran presented on business information systems to Prof. Butchi Babu. Business information systems represent the controls and processes that businesses use to analyze information and effectively manage operations, including accounting systems. They facilitate better decision-making, allow management to review practices and formulate new strategies, and help control people and processes to achieve goals. Information systems standardize operating procedures, enable uniform work and clear accountability, and aid intelligent decision-making by analyzing options in terms of costs, time, and resources. Electronic and mobile commerce applications include e-tail, cyber mail, and banking, among others. Advantages include reduced costs and improved customer service, while threats include security issues, fraud, and lack of internet access. Def
The document discusses business analytics and big data. It provides an overview of key concepts like business process analytics, enterprise analytics capability, case studies on implementing analytics, and frameworks for business strategy, IT strategy, business process management, and enterprise architecture. The summaries emphasize linking analytics to business processes and strategy to drive business value from big data.
The document provides an overview of chapter objectives and key concepts from a textbook on information systems. It discusses the difference between data, information, and knowledge and various types of business information systems like transaction processing systems, enterprise resource planning systems, and decision support systems. It also summarizes the systems development process, competitive strategy, careers in information systems, and global challenges.
The document presents information on a project presentation about applying a management information system (MIS) in the textile industry of Bangladesh. It discusses the objectives of the project which are to understand the concept of MIS, its features and functions, implementation process, scope of application in textile industries, and advantages and limitations. It also provides details about various aspects of developing and implementing an MIS like the resources, activities, development approaches, implementation steps, available software, and applications in areas like business, sales, production, quality, materials, finance, and human resources management.
Exercise solution of chapter3 of datawarehouse cs614(solution of exercise)AYESHA JAVED
The document discusses making a company's existing data warehouse web-enabled to satisfy management's directive. Three major tasks for web-enabling the data warehouse are: 1) Bringing the data warehouse to the web to allow self-service data access, interactive analysis, and delivery to external users. 2) Capturing clickstream data from the company's website and performing ETL to load it into a webhouse for analysis. 3) Configuring the architecture of the web-enabled data warehouse to include a webhouse repository for clickstream data in addition to the traditional data warehouse repository.
A Transaction Processing System (TPS) is an information system that processes business transactions to ensure customer orders are fulfilled reliably and efficiently. Key features of a TPS include rapid response, reliability through backups and recovery, inflexibility as every transaction is treated equally, and controlled processing through standardized employee roles. To qualify as a TPS, transactions must pass the ACID test - being atomic, consistent, isolated, and durable. TPS systems can use either batch or real-time processing and rely on databases organized in hierarchical, network, or relational structures to accurately store and retrieve transaction data. A transaction processing monitor oversees transactions to ensure they proceed as intended.
Cloud computing 5 cloud and the dynamic infrastructureVaibhav Khanna
Dynamic Infrastructure is an information technology concept related to the design of data ... It can utilize alternative sourcing approaches, like cloud computing to deliver new services with agility and speed.
The Information And Its Role In BusinessSelf-employed
The document discusses the role of information systems in transforming data into useful business information through collecting and storing data over time, transforming that data into reports and insights to support decision making, and providing controls to safeguard the data while automating transaction processing and reporting for fast and accurate results. Key functions of information systems include collection, storage, transformation of data, controls and safeguarding of data, automated reporting, fast transaction processing, large storage capacities, fast access and communication, support for decision making, reduction of information overload, and cross divisional abilities to support planning, recording, controlling, measuring, and decision making.
This report helps the user to understand trends in big data, cloud and medical devices, the key players in the ecosystem , the top users of this technology
Originally Published: Jan 21, 2015
The size and complexity of data make it difficult for companies to unlock the true value of their data. IBM Information Integration Governance can improve data quality, protect sensitive data, and reduce cost and risk. Free up your resources and get more out of your data.
An Overview of Business Intelligence Technology. Business intelligence (BI) software is a collection of decision support technologies for the enterprise aimed at enabling knowledge workers such as executives, managers, and analysts to make better and faster decisions. Take a look on Business Intelligence Process and History!
Knowledge management and business intelligenceAzmi Taufik
1) Business intelligence is a set of tools and processes that analyze raw data to provide useful information to make business decisions. It includes technologies that transform data into meaningful insights.
2) Key aspects of business intelligence include allowing organizations to get a more accurate view of business and customers, increasing visibility, and enabling analysis of customer behavior.
3) Strategic knowledge management helps identify business needs, organize information flow, implement plans, and evaluate to improve by addressing goals, competitive advantage, and organizational performance.
The document discusses the evolution of business intelligence from traditional to real-time and closed-loop systems. It describes moving from batch-based transactional data warehousing to analytical applications with real-time feeds and embedded business intelligence, enabled by technologies like BPM, EAI and decision rules. This creates a more intelligent and flexible solution.
This document discusses concepts related to information, knowledge, and business intelligence. It defines data, information, and knowledge; information is processed data that is meaningful, while knowledge represents analyzed information. Business intelligence refers to gathering, processing, and maintaining live, relevant data and information to support timely decision-making. The document also covers information presentation, quality, classification, value, and knowledge management.
This document presents a case study of a retail company's implementation of a business intelligence project. It discusses how the company developed an effective business intelligence strategy that aligned intelligence outcomes with its information needs. The strategy used guiding principles and drew data from the company's ERP system. The case study provides insights for both researchers and practitioners on important factors for achieving effective business intelligence implementation.
Information system in business an introductionRavi Sidhu
This document provides an introduction to information systems in business. It discusses how data is organized and processed into meaningful information. It also describes examples of information systems like the UK Meteorological Office system and a manufacturing system. Key components of an information system like inputs, processes, outputs, storage, and feedback are explained. The history and evolution of the role of information systems in business is outlined. Examples of how information systems support business functions and help organizations respond to pressures are also provided. Case studies of information systems supporting rural development in India and hospitals are summarized.
Materials management information systems (MMIS) automate the procurement and management of supplies in healthcare organizations. Traditionally, MMIS handled requisitioning, ordering, receiving, distribution, and inventory management of supplies. Now, supply chain management (SCM) solutions are replacing MMIS by expanding management beyond the healthcare organization to include suppliers, distributors, and manufacturers, allowing for lower costs, faster delivery, and streamlined procurement. SCM solutions interface with financial and clinical systems to manage the entire supply chain and procurement process electronically.
Information systems consist of hardware, software, data, people, and procedures that work together to process organizational data into useful information. Key components include transaction processing systems, supply chain management systems, customer relationship management systems, business intelligence systems, decision support systems, and geographic information systems. As computer technology has advanced, becoming more powerful yet less expensive, and communication networks have expanded, information systems have become increasingly important in business functions like accounting, finance, marketing, and human resources.
This document discusses business information systems (BIS). It defines BIS as systems that businesses use to analyze information needed for effective management. The objectives of BIS are to facilitate better decision making, allow management to review and formulate practices and norms, and be used across all business realms and functions. BIS standardize operating procedures, define processes and controls, and allow for uniform work and accountability. BIS also aid decision making by allowing managers to evaluate options based on costs, timelines, and resources. An example is provided of how BIS could help a company choose between suppliers based on price, location, transportation costs, and requirements.
2 IJAERS-JUN-2015-6-RSA and Modified RSA algorithm using C ProgrammingPuneeth Puni
This document discusses RSA and a modified RSA algorithm implemented using C programming. It provides an overview of the RSA algorithm, including how it uses public and private key cryptography. The modified RSA algorithm is described as being somewhat slower than standard RSA but more secure. The document then goes on to provide details on implementing both RSA and modified RSA algorithms using C programming, including encrypting and decrypting messages with each. Results are shown of encrypting and decrypting plain text messages using both algorithms.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Original article from the Flevy business blog can be found here:
http://flevy.com/blog/help-them-help-you-good-managers-inspire-good-employee-performance/
Gallup released its “State of the American Workplace” report, a comprehensive look at employee engagement and performance in the U.S. The study found that 30 percent of employees are engaged and inspired by their work, and at the other end, 20 percent are actively disengaged and uninspired. In the middle is the remainder: 50 million (50 percent) Americans who are not engaged by their work or their managers. They’re just kind of there.
Gallup holds managers entirely responsible for an employee’s level of engagement. The top 25 percent of teams (the best managed) have 50 percent fewer accidents and 41 percent fewer quality defects than the bottom 25 percent (the worst managed), and they incur far less in health care costs. With this in mind, we think that one of the most important decisions you can make in business is who you name manager. Good managers embolden your employees; bad managers hurt your bottom line. The good news? These four performance solutions can help at every level.
Health Care
Health care plays a vital role in a motivating a workforce. Research from Cornell University shows medical insurance has a great influence on an individual’s task performance, which affects workplace safety and performance. Cover your staff—it indicates you care about their well-being and inspires them to be safer and perform better.
Company Culture
Companies tend to this issue the least, because it doesn’t yield tangible results, but company culture is often the first link in a chain of subsequent performance defects. There isn’t a single formula to tightening the family ties of your organization, and it’s a big job—but you should be doing it, as it pays big dividends. Two examples to get you started:
Los gráficos de control se originaron en 1920 y son una herramienta estadística que evalúa la estabilidad del proceso de producción y distingue las causas de variación. Existen dos tipos de causas de variación: aleatorias que son al azar e insignificantes, y específicas que producen grandes variaciones y no deberían estar presentes. Los gráficos de control cuentan con una línea central y límites de control superior e inferior que definen la variación aleatoria, y los puntos fuera de estos límites indican posibles
This curriculum vitae is for Rejantairan s/o Kovil Pillai, a 52-year-old Malaysian man seeking employment. He has over 25 years of experience in retail management, having held positions such as Store Manager, General Manager, and Division Manager at various supermarket chains in Malaysia. He has a strong track record of improving store performance and profitability. His skills include staff recruitment and training, product merchandising, negotiating with suppliers, and ensuring compliance with company standards. He is proficient in English, Malay, and Tamil and aims to contribute to business growth through his leadership, communication abilities, and creative ideas.
How In-memory Computing Drives IT SimplificationSAP Technology
Discover how the in-memory technology of SAP HANA can reduce complexity and simplify the IT landscape to foster real-time results, innovation and lower costs.
Multi Cloud Data Integration- Manufacturing Industryalanwaler
Multi-cloud data management solutions can provide manufacturers, retailers, and logistics companies with real-time insights to make proactive decisions by connecting and transferring data at high speeds. These solutions offer scalable and flexible platforms for processing, analyzing, and storing industrial data efficiently while maintaining quality and supporting manufacturing systems. They also provide enhanced analytics, machine learning, and insights into operational efficiency that help manufacturers better understand and optimize their operations.
Enterprise Storage Solutions for Overcoming Big Data and Analytics ChallengesINFINIDAT
Big Data and analytics workloads represent a new frontier for organizations. Data is being collected from sources that did not exist 10 years ago. Mobile phone data, machine-generated data, and website interaction data are all being collected and analyzed. In addition, as IT budgets are already being pressured down, Big Data footprints are getting larger and posing a huge storage challenge.
This paper provides information on the issues that Big Data applications pose for storage systems and how choosing the correct storage infrastructure can streamline and consolidate Big Data and analytics applications without breaking the bank.
InfiniBox bridges the gap between high performance and high capacity for Big Data applications. InfiniBox allows an organization implementing Big Data and Analytics projects to truly attain its business goals: cost reduction, continual and deep capacity scaling, and simple and effective management — and without any compromises in performance or reliability. All of this to effectively and efficiently support Big Data applications at a disruptive price point.
Learn more at www.infinidat.com.
The document discusses 4 IBM storage solutions that can help enterprises better manage the large amounts of data being generated: 1) The IBM Storwize family provides efficient storage virtualization to reduce storage space and hardware needs. 2) The IBM FlashSystem family provides critical application performance and reliability through extreme speeds. 3) The IBM DS8870 provides business continuity and security. 4) The IBM XIV provides scalability and availability. These solutions help enterprises optimize efficiency, performance, and manage data growth at a lower cost.
In today’s globalized, competitive marketplace, being able to leverage technology to deliver faster turnaround times, meet lower pricing goals and provide customizable options can mean the difference between sustainability and irrelevancy. In this ebook, we’ll explore some of the leading solutions transforming the manufacturing industry:
- Automation for cost savings
- 3D printing for improved productivity
- Smart data for quality assurance
- Connectivity for safety and communication
- Security solutions to protect it all
Learn more: http://ms.spr.ly/6006Twegg
Storage virtualization can help organizations address key challenges like managing storage growth demands, leveraging existing assets, and simplifying data movement issues. It allows pooling of storage resources and thin provisioning to improve capacity utilization and reduce costs. Controller-based storage virtualization in particular separates logical views from physical assets, allowing heterogeneous storage systems to be managed as a single pool. This provides benefits like reduced complexity, improved flexibility, and leveraged cost savings.
The document discusses a data protection solution from Tributary Systems and IBM that combines Tributary's Storage Director software with IBM servers and storage platforms. This solution provides virtualized backup storage that allows data from any system to be stored on any backend storage, improving flexibility, utilization and efficiency. It also simplifies management and enables policies to store different data types in optimal locations.
Intelligent database management: Your new sales allyMdAyubAnsari1
A centralised database can be of tremendous use while consolidating and processing raw data
Such a database can help sellers draw expert insights and create targeted campaigns
We explore the various ways through which centralised and intelligent database management can streamline and support sales operations
The digital-first lifestyle of customers today has made it imperative for businesses to opt for intelligent data synthesis and database management to sell effectively. Decoding dynamic buyer preferences, cross-referencing multiple buyer data points to deliver structured value propositions, understanding market segmentations, and getting a unified view of buyers – everything boils down to how a company handles its data.
Why opt for a centralised database
The key to systematic data synthesis is generating data using standardised techniques and incorporating best practices to process vast volumes of industry-segmented data. Consolidating raw data from multiple sources to create a centralised database can provide a complete view of the data of an organisation, equipping leaders to generate critical insights instantly. Sellers, when armed with such knowledge, can draw targeted campaigns to maximise sales.
There are several ways a centralised database can streamline operations in comparison to a distributed database.
Eliminating Redundancy: A centralised database can prevent unnecessary duplication of data and minimise the time taken to process large datasets. It also results in saving storage space.
Data Integrity: Centralised control of data can empower administrators to define integrity constraints and ensure regulatory compliance of data.
Security: The administrators can ensure that access to the database is through secure and approved channels, due to their absolute control over operational data. If access to sensitive data is attempted without prior approval, the administrators can define authorization checks for higher security.
Data Consistency: Companies can drastically cut down on inconsistent data by removing redundancies through centralised database management.
Enforcement of standards: With the centralization of data, administrators can establish and enforce the data standards, such as naming conventions, data quality standards, etc.
Reduced application development and maintenance time: A consolidated repository can support several processes that are common to various applications, such as retrieving data stored in the database to gain insights. This facilitates faster development of applications.
Portability: Such a database is easier to use when compared to dealing with multiple sources of data. Data is stored in one location and can be easily copied, reorganised, or ported to another location if need be. This method is cost-effective too as it minimises maintenance costs.
Intelligent Database Management
To ensure data enrichment of contact information, businesses need to set up multiple validation engines, both automated and man
Expert integrated systems are more than a static stack of well tuned
components—a server, some storage, networking and
database software, serving a fixed application at the top. Instead,
these systems are based on “patterns of expertise” which can
dramatically improve the responsiveness of the business.
In the insurance industry, the advantage of custom-built marts and warehouses ensures that the structure and queries match the data, but the customization makes it very difficult and expensive to maintain. On the other hand, off-the-shelf marts and warehouses maintained by the third party and are general and less useful than the custom ones. In either case, they can easily grow beyond anything manageable. This whitepaper focuses on providing an overview of data warehousing in the insurance industry.
4 Advantages Artificial Intelligence Can Offer Industry 4.pptxArpitGautam20
Here are a few advantages that Ai brings to the table for Industry 4.0. These can change the way industries leverage Ai in the days to come. https://arsr.tech/4-advantages-artificial-intelligence-can-offer-industry-4-0/
10 Reasons Why Your Healthcare Organization Should Select a Cloud-Based Archi...Triyam Inc
Unlock healthcare data archiving benefits with cloud-based solutions: scalability, cost-efficiency, data retrieval, compliance, security, analytics, and collaboration. Try Fovea EHR Archive for seamless data management.
The document discusses several data storage solutions from HGST, including:
- The Ultrastar Data102 and Data60 hybrid storage platforms, which can store up to 1.2PB and 720TB respectively in a 4U form factor, and feature vibration isolation and efficient cooling technologies.
- The ActiveScale X100 and P100 object storage systems, which provide scalable, durable storage for applications such as analytics, media and entertainment, and backup.
- The IntelliFlash all-flash and hybrid storage arrays, which combine flash performance with data management capabilities to accelerate a wide variety of workloads while maintaining high density and compelling economics.
Simplify Your Enterprise Content Management Strategy with Inspired ECM, which is a global organization specializing in Oracle WebCenter Suite and the entire Oracle Fusion Middleware platform.
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This whitepaper will help you understand how to realize measurable cost savings and superior ROI by using a comprehensive storage management solution. For more information on IBM Software Solutions, please visit: http://bit.ly/16Tj2M0
IBM offers a broad portfolio of software fueled by its expertise in business and technology. Their software is built for change and flexibility. With over 100,000 experts and a large partner network, IBM can build customized solutions across industries. Their software helps organizations gain insights from data to optimize operations and make smarter decisions.
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Recopilar y analizar los datos no es suficiente.
La clave es hacerlo en tiempo real
de las organizaciones logran un retorno
positivo
de la inversión
en analítica en un plazo de 1 año
1
Con los crecientes volúmenes de datos generados por las cargas de trabajo nuevas y
tradicionales, necesita una infraestructura de almacenamiento que interactúe a
máxima velocidad
con el activo más valioso: sus datos.
El creciente interés en Big Data & Analytics y la aceleración del mercado que esto
conlleva se deben a numerosos factores que suelen estar asociados. En primer lugar, el
masivo crecimiento de la información digital que las empresas crean y capturan sigue
siendo incesante
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vanguardia en cuanto a virtualización empresarial y ha sido implementado
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de los propietarios de Power Systems.
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Cross industry
1. IBM Systems and Technology
Solution Brief
Healthcare
Enabling essential
capabilities with
IBM Smarter Storage
Adopt a strategic approach to storage for greater
healthcare insights and value
Highlights
●● ● ●
Manage cost and capacity without com-
promising performance and quality of
service
●● ● ●
Apply big data capabilities for real-time
insights from new forms of information
●● ● ●
Deploy robust clouds for increased agility
and health information access
Healthcare industry transformation is happening now. Data volume
and diversity are growing exponentially. Collecting, analyzing, storing,
sharing and moving large amounts of data securely will require a smarter
approach to data and storage management.
Healthcare organizations will increasingly consume structured and
unstructured data in volumes and at speeds not seen before. They will
expect information to be available instantly to support collaboration
and faster decision making at the time and place of care or interaction.
Proficiency in information capture, integration, secure access and
management will become essential to redefining what value and
success mean for organizations, their patients and stakeholders.
IBM Smarter Storage for Smarter Computing is a more intelligent,
efficient and automated approach to the design and deployment of stor-
age systems. It helps organizations to gain valuable, timely insights from
their data and greater efficiencies and performance from their enterprise
technology—and do so for less cost—by leveraging self-optimizing
systems, built-in efficiency and cloud technologies.
2. 2
Solution Brief
HealthcareIBM Systems and Technology
The IBM approach delivers solutions that are:
●● ●
Efficient by design: System management is intuitive and
easy. With tightly integrated technologies, data consumes
less space.
●● ●
Self-optimizing: By analyzing data access patterns,
IBM storage solutions can automatically adapt to improve
performance while balancing cost.
●● ●
Cloud agile: Anywhere, anytime data availability makes
storage an enabler of transformation, even as it improves
return on investment.
Manage cost and capacity without
compromising performance and service
Many healthcare organizations are challenged by resource
shortages, data growth and budget constraints. Digital health
records and data retention mandates have increased the need
for storage and storage management. Storage costs have risen
rapidly, with corresponding pressures on data center space and
cooling requirements for storage deployment and maintenance.
Administrators often find it difficult to manage constantly
changing data environments, meet regulatory requirements
for information availability or measure storage utilization.
Expectations for improved service quality without budget
increases are common. Supporting compliance with regulations
is a clear priority as sensitive information is shared within and
across organizations.
IBM Smarter Storage is efficient by design
To address the challenges of storage optimization, built-in
efficiency technologies can help reduce capital and operating
expenses and manage storage growth using a holistic approach.
With IBM Smarter Storage, organizations can:
●● ●
Maximize storage utilization: Decrease storage space
requirements with little manual intervention by the IT staff.
Take advantage of built-in storage efficiency technologies
that can save up to 47 percent in administrator time and
reduce complexity by up to 30 percent.1
●● ●
Simplify storage management: Deploy new storage capac-
ity and applications more rapidly, increasing service quality.
Automatically provision storage with the functionality and
performance attributes required by the application.
●● ●
Help safeguard data security and patient confidentiality:
Use built-in encryption capabilities at minimal cost. Simplify
technical policies and procedures that enable information
access, audit and integrity controls.
IBM Smarter Storage for Smarter Computing
Manage cost and
capacity growth
Efficient
by design
Self-
optimizing
Cloud
agile
Improve
performance
and productivity
Increase
information
access and
improve ROI
3. 3
Solution Brief
HealthcareIBM Systems and Technology
●● ●
Predictably grow the storage infrastructure: Better
manage the storage infrastructure to manage storage and
storage budget growth. Redirect resources to other health-
care initiatives with help from IBM.
With IBM Smarter Storage, efficiency features are built in,
ready to deploy and operate consistently to decrease space
requirements, simplify administration and improve efficiency
for active workloads. Technologies such as space-saving dedu-
plication and IBM® Real-Time Compression™, a patented
IBM technology that works on active primary data to reduce
space requirements up to 80 percent, mean data analytics run
faster because less data is stored.
IBM Smarter Storage is also cost-efficient; storing less means
buying less storage capacity. And an intuitive, integrated and
advanced common management interface is staff-efficient—
with the capability to manage pools of resources from one
location, administering multiple storage systems can take only
about half the time as with competing products.1
IBM Smarter Storage solutions can break the time-consuming
cycle of manually predicting IT demand, provisioning storage
and migrating data to balance performance and cost—freeing
IT professionals for other tasks. The ability to automatically
place information in a tiered infrastructure where it is cost-
effectively stored according to its importance provides a level of
responsiveness that is ideally suited to healthcare environments.
Policy-based automated backup and recovery can help align
disaster recovery priorities with recovery center capabilities
to protect data and support regulatory compliance.
A large university medical center realized
cost savings of more than USD160
million, enabling the organization to
invest in life-saving healthcare
innovations.
Apply big data capabilities for real-time
insights from new forms of information
As organizations increase focus on wellness and prevention,
they are implementing multi-channel patient engagement strat-
egies enabled by advanced analytics to help deliver better care.
Proactive care models involve delivering the most complete
data to the point of decision for more effective collaboration
and more personalized care. Through real-time communica-
tions and information sharing, patients gain better access to
care and increased convenience, whether mobile or in a care
facility. Managing large volumes of structured and unstructured
data securely and meeting expectations for real-time access to
information are key challenges.
Ensuring performance and adapting as data needs evolve are
fundamental to success. A recent IBM study predicted that by
2015, some 80 percent of the world’s data will be “uncertain”—
unstructured and unreliable data often derived from social
business technologies—and will require new management
techniques.2 Organizations with highly efficient data centers
are already learning how to deal with this; the most successful
implement four to six times more storage optimization
techniques than others.3
IBM Smarter Storage is self-optimizing
Built-in technologies can optimize performance and cost,
increase productivity, and virtualize more of the infrastructure
so that organizations can:
●● ●
Properly size storage deployments: IBM Smarter Storage
includes solutions that can automatically migrate the most
active data to solid-state drives (SSDs), maximizing perfor-
mance and taking full advantage of advanced disk technolo-
gies—helping avoid over-provisioning the storage
environment for peak workloads.
4. 4
Solution Brief
HealthcareIBM Systems and Technology
●● ●
Automate performance-tuning management: Healthcare’s
often inflexible IT architectures are a thing of the past with
IBM Smarter Storage, which continually analyzes data access
patterns and automatically moves data to the most appropri-
ate tier of storage. It can also simplify the movement of data
within and between storage systems—a key capability for
organizations that in the future will need to automatically
synchronize data between healthcare facilities to reduce the
risk of patient information loss or unavailability.
●● ●
More easily grow the virtual server infrastructure:
IBM Smarter Storage automatically optimizes data through-
put across an infrastructure so healthcare organizations can
get the most value from their increasingly diverse data, as
well as their servers and storage.
●● ●
Protect patient information against unauthorized access
using built-in encryption capabilities at minimal cost:
IBM Smarter Storage can help simplify the technical policies
and procedures that enable information access, audit and
integrity controls.
IBM Smarter Storage is optimized for rapidly growing informa-
tion management workloads, helping to make analytics and
business intelligence more effective and affordable. With its
continuous monitoring, built-in analytics, pattern recognition
and smart data placement technologies, IBM Smarter Storage
can improve the performance and efficiency of applications
that use big data. IBM Easy Tier® runs automatically and
can deliver up to a three times performance improvement.
The consistent high performance of IBM XIV® Storage for
all applications, coupled with the system’s zero tuning and
pain-free provisioning and its integration with cloud and service
management systems, is due to its “out-of-the-box” optimiza-
tion. And tiered storage optimization technologies move
volumes of data based on policies set by administrators.
An academic health center virtualized its
IT environment enabling anytime,
anywhere access to clinical applications
and patient information, helping to
improve practitioner productivity and
decision making.
Deploy robust clouds for increased
agility and health information access
Information-rich, patient-centered care models are primed
to benefit from cloud computing. Cloud-delivered services
enabled by open standards can support cooperation, collabora-
tive workflows and information sharing. Ultimately the shift to
these new work environments will facilitate continual improve-
ment and real-time exchange of ideas—whether by the patient
managing his or her own health or by providers communicating
with patients or collaborating with other professionals—
ultimately leading to better care. Stakeholders will be able to
connect to each other and respond to changing needs and the
latest medical breakthroughs almost as they happen.
Emerging collaborative partnerships and dynamic care delivery
networks will require the ability to effortlessly deliver the most
complete information, keep up with new demand and make
change happen—error-free. Agility is important. And clouds
are all about agility. They can deliver health services whenever
those services are required—whether at the provider facility or
the patient or consumer location—to meet high service levels at
an affordable cost.
5. 5
Solution Brief
HealthcareIBM Systems and Technology
IBM Smarter Storage is cloud agile
IBM Smarter Storage can simplify adoption of cloud computing
so organizations can more rapidly deliver services and realize
the benefits of healthcare innovation initiatives. Cloud-agile
IBM solutions can help facilitate collaborative partnerships by
supporting virtualized and cloud environments that can:
●● ●
Maximize storage utilization: IBM Smarter Storage adapts
easily to unpredictable workloads to support the dynamic
data needs of healthcare stakeholders. Its technologies can
automatically synchronize data between facilities in a care
delivery network so data can flow to providers and other
stakeholders anywhere, anytime.
●● ●
Automate cloud management: Automated, self-service
portals will allow cloud-based applications to easily access
the information they need—whenever they need it, with no
delays. Automated and self-service functions help drive down
the IT costs of provisioning and deployment. With policy-
based data management, information moves to users
automatically and securely without manual intervention, sim-
plifying and ensuring digital health information transmission.
Not only can these built-in tools simplify patient information
transmission security measures through policy and applica-
tion awareness, they can help organizations to better respond
to compliance reporting using cloud-based automation for
backup and archiving.
●● ●
Enable robust cloud expansion: With IBM Smarter
Storage, administrators can deploy clouds faster and manage
significantly more capacity than otherwise possible, providing
the elasticity to proactively and efficiently provision capacity
for dynamic consumer workloads. IBM Smarter Storage can
also take advantage of storage virtualization to maximize
storage already deployed in the organization—including
non-IBM systems—reducing new storage purchases.
Cloud approaches offer the opportunity to expand IT capacity
quickly without large capital investments. A modest 100-bed
hospital will generate approximately 60 GB of new digital con-
tent per bed per year, requiring at least an additional 6 TB of
storage space annually. Cloud-delivered IT resources can help
address the need for economical storage expansion, eliminating
the need to continue buying and supporting in-house storage
systems, lowering costs and helping with storage management.
Healthcare organizations will analyze growing volumes and
increasingly more complex information. Being cloud agile
means storage systems can move data where it can be used
most effectively, whether in the cloud or in a data center.
A world leader in medical supplies reduced
application response times by 30 percent,
allowing staff to be more responsive to
customer demands.
Why IBM?
As healthcare organizations work to redefine value and success
for their patients and stakeholders, they need to build the IT
capabilities that will be essential to healthcare transformation.
These capabilities need to flexibly and economically keep pace
with new clinical and business requirements and technology
evolution, while becoming a competitive tool for healthcare
innovation.
IBM combines decades of storage technology excellence,
experience and expertise with healthcare industry knowledge
and partnerships to help organizations unlock the value of
their data with analytics, gain storage efficiencies and spend
more of their IT budget on innovation initiatives and less on