Big data has the potential to radically change healthcare delivery and research by enabling the analysis of large datasets to predict behaviors, encourage desirable outcomes, and reduce costs. However, healthcare organizations face significant challenges in realizing these benefits due to the fragmentation, security, and lack of standards around healthcare data. Adopting big data solutions that can integrate both internal and external real-time data sources will be key to overcoming these challenges and allowing healthcare constituents to make more informed decisions.
This document provides an overview of big data. It begins by defining big data and noting that it first emerged in the early 2000s among online companies like Google and Facebook. It then discusses the three key characteristics of big data: volume, velocity, and variety. The document outlines the large quantities of data generated daily by companies and sensors. It also discusses how big data is stored and processed using tools like Hadoop and MapReduce. Examples are given of how big data analytics can be applied across different industries. Finally, the document briefly discusses some risks and benefits of big data, as well as its impact on IT jobs.
Data-Driven AI is a Microsoft Gold Partner specialising in building modern data platforms and advanced analytics consulting.
We deliver innovative data and AI solutions to help organisations build a data-driven culture and empower their business decisions with insights.
Lecture 01 Evolution of Decision Support Systemsphanleson
The document discusses the evolution of decision support systems and data warehousing. It describes how operational systems evolved naturally over time, creating issues like lack of data credibility and productivity problems. This led to a change in approach with a new, architected environment featuring a single, integrated data warehouse. The data warehouse development process and users, namely decision support system analysts, are also discussed.
Businesses are transforming their existing technology, processes, and workforce through digital transformation to better serve customers. This involves revamping strategies, operations, products, and services by adopting digital technologies. Digital transformation improves services, accelerates processes, and expands organizational abilities, helping maintain relevance and competitiveness in the global digital economy.
The document outlines the details of an event to create awareness of a partnership and promote core expertise. The objective is to attract talented executives. Guests will include CEOs and business leaders who will participate in a panel discussion on executive search and key findings from a study. The event will be held at a luxury hotel and include a reception, presentations, panel discussion, and guest speaker.
Planning to host an event this year? Whether it’s a seminar, a small meeting, or a large conference, social media are powerful tools to help you promote any event. Click through to learn about how you can leverage the power of social media to create buzz around your next event.
This document provides an overview of big data. It begins by defining big data and noting that it first emerged in the early 2000s among online companies like Google and Facebook. It then discusses the three key characteristics of big data: volume, velocity, and variety. The document outlines the large quantities of data generated daily by companies and sensors. It also discusses how big data is stored and processed using tools like Hadoop and MapReduce. Examples are given of how big data analytics can be applied across different industries. Finally, the document briefly discusses some risks and benefits of big data, as well as its impact on IT jobs.
Data-Driven AI is a Microsoft Gold Partner specialising in building modern data platforms and advanced analytics consulting.
We deliver innovative data and AI solutions to help organisations build a data-driven culture and empower their business decisions with insights.
Lecture 01 Evolution of Decision Support Systemsphanleson
The document discusses the evolution of decision support systems and data warehousing. It describes how operational systems evolved naturally over time, creating issues like lack of data credibility and productivity problems. This led to a change in approach with a new, architected environment featuring a single, integrated data warehouse. The data warehouse development process and users, namely decision support system analysts, are also discussed.
Businesses are transforming their existing technology, processes, and workforce through digital transformation to better serve customers. This involves revamping strategies, operations, products, and services by adopting digital technologies. Digital transformation improves services, accelerates processes, and expands organizational abilities, helping maintain relevance and competitiveness in the global digital economy.
The document outlines the details of an event to create awareness of a partnership and promote core expertise. The objective is to attract talented executives. Guests will include CEOs and business leaders who will participate in a panel discussion on executive search and key findings from a study. The event will be held at a luxury hotel and include a reception, presentations, panel discussion, and guest speaker.
Planning to host an event this year? Whether it’s a seminar, a small meeting, or a large conference, social media are powerful tools to help you promote any event. Click through to learn about how you can leverage the power of social media to create buzz around your next event.
Putting the Experience in Digital Customer ExperienceCognizant
As the digital revolution has gained momentum, it has become widely understood that the “digital customer experience” is the key to engage with, delight and monetize customers in the modern world. However, only a miniscule number of companies believe their customers’ current digital experience qualifies as “excellent,” our primary research reveals.
Data visualization is a complex set of processes which is like an umbrella that covers both information and scientific visualization simultaneously. We can’t ignore the benefits of data visualization for its accurate quantities, as it is easily comparable. It also lends valuable suggestion pertaining to the usage of its technique and tools. Scientifically its effectiveness lies in our brain's ability to maintain a proper balance between perception and cognition through visualization.
“¿Porqué utilizar una TMO (Transformation Management Office) en proyectos de ...Fabián Alejandro Garófalo
En los proyectos de transformación de ciudades en ciudades inteligentes, una PMO no alcanza, debemos utilizar una TMO.
Acá podrás ver los lineamientos básicos de este tema.
Top Big data Analytics tools: Emerging trends and Best practicesSpringPeople
This document discusses top big data analytics tools and emerging trends in big data analytics. It defines big data analytics as examining large data sets to find patterns and business insights. The document then covers several open source and commercial big data analytics tools, including Jaspersoft and Talend for reporting, Skytree for machine learning, Tableau for visualization, and Pentaho and Splunk for reporting. It emphasizes that tool selection is just one part of a big data project and that evaluating business value is also important.
Building Digital Strategy Roadmap For Digital Transformation Complete DeckSlideTeam
Digital strategy roadmap is a blueprint for aligning business goals with your digital strategy. It shows how the company plans to embrace digital technologies to grow business and create better customer experience in the long term. Creating a digital strategy roadmap is not simply listing out key digital initiatives and giving them a tentative timeline. It follows an extensive research process which starts with Digital Review. It starts with uncovering consumer insights and market insights. One then develops Digital Strategy keeping in mind the digital goals and key initiatives in the short and long term. The third step in this process is Digital Planning which involves setting realistic time frame for implementing digital initiatives. The final steps involve setting KPIs for measuring the success of digital strategy. Taking the healthcare sector as a case study, our researchers have outlined the digital landscape of the industry and showed key digital strategies a healthcare provider wishes to implement for digital transformation. https://bit.ly/3bL7TlW
Joyous Moments Design is a full-service wedding planning company. They offer three planning packages ranging from day-of coordination to full planning. The document provides details of Halle and Josh's mid-level planning package including their budget, guest count, theme, and vendors. It then outlines their planning timeline from their initial meeting in April through final preparations in June for their June 27th wedding at the Atlanta Botanical Gardens.
Big data refers to the large volume of structured and unstructured data that businesses receive daily. It has three key aspects - volume, variety, and velocity. Big data is important for making good use of data, benefiting from cloud storage capabilities, enabling data visualization, and finding new business opportunities. It can lead to improved efficiency, sales, costs, customer service, and products/services. Common software used for big data includes Hadoop, Pig, and Hive. Challenges include finding useful information, data silos, inaccurate data, and a lack of skilled workers. Potential application areas are analytics, integration, cleaning, and updating data. The future of big data involves addressing privacy, security, latency, and scaling issues with
Happy Thoughts is a new event planning business in Bacolod City, Philippines. It aims to provide high quality event planning and coordination services for parties, conferences, and other events. The business is run by Alyssa Louise Lozanes, who has experience in event production and coordination from her communications degree. Happy Thoughts offers full event planning packages and individual services like budget planning, vendor coordination, and set up/break down supervision. It plans to target individual clients, businesses, and government organizations in Bacolod City and surrounding areas.
Event management process flow chart templatePoornima Singh
This document provides an overview of the key functions for managing events in an event management system, including searching for existing events, setting up new events, adding tasks, coordinators, registrations, speakers, expenses, registration options, invitations, documentation, lodging options, and attributes. It outlines how to add, edit, copy, and configure information for single or multi-level events. It also describes setting up lodging locations and attributes in the system or requesting new attributes be created.
This document provides an overview of transport modelling conducted at Swiss Federal Railways (SBB). It discusses the following key points:
1. SBB uses an agent-based simulation model called SIMBA MOBi to forecast demand and model mobility behavior. The model is used to analyze the impact of changes to transport supply on demand.
2. SBB collects data from surveys like the Mobility and Transport Microcensus to inform the models. This includes data on individual travel behavior and characteristics.
3. SBB conducts transport modelling to support various uses like service planning, infrastructure planning, and scenario analysis. The models help evaluate the effects of projects like new stations or train lines.
All about Big Data components and the best tools to ingest, process, store and visualize the data.
This is a keynote from the series "by Developer for Developers" powered by eSolutionsGrup.
How CPGs Can Win in the New Age of the Digital Consumeraccenture
This document discusses how consumer packaged goods (CPG) companies need to transform to succeed in the new digital era. It outlines that CPGs must radically rethink their relationships with consumers and customers and move beyond legacy operating models. Specifically, it recommends that CPGs 1) create a unified brand strategy and two-way dialogue with consumers, 2) take a systematic approach to growing their digital consumer base, and 3) rethink their routes to market and customer engagement strategies. It also stresses the importance of switching to a holistic, flexible and digitally-enhanced operating model.
Customer Engagement Solution - The alliance between Accenture Digital and Adobe Marketing Cloud provides joint solutions that help our clients dramatically improve both marketing performance and marketing efficiency by achieving relevance at scale.
Read more: http://bit.ly/1AjioCI
The document discusses best practices in marketing operations. It emphasizes establishing clear goals, metrics, and executive buy-in to drive accountability. Formalizing processes, reviews, and knowledge sharing helps balance marketing strategy and tactics. Success requires clarity, consistency, support, and cross-functional collaboration throughout the organization.
The document discusses various aspects of event planning and management, including types of events, event management processes, market research, SWOT analysis, the 5W1H approach to planning, venue selection, event marketing, and evaluation. Specifically, it covers corporate, educational, and social events. It emphasizes conducting thorough market research, analyzing competitors and products/services, and selecting appropriate dates, times, locations, and venues based on the target audience. SWOT analysis and the 5W1H framework are recommended for effective planning. Event marketing strategies include various print, electronic, outdoor, and transit media. Post-event evaluation is also highlighted.
Hotel Event Venue Proposal Template PowerPoint Presentation SlidesSlideTeam
As an event planner, it is essential to know how to write an event planning proposal to get the attention of all clients. Present a well-formatted event proposal to show your potential client that you have the skills they are looking for. To write an effective proposal, you need the ability to understand all the fine requirements of the client. Here we provide you with PPT slides to offer you guidelines for organizing events in locations both large and small. Give your audience an overview of hotel event venue services including the date, time, place, theme, and goal of the event. With the service timeline that we offer, represent your services and the time taken for execution of each service in a polished and readable format. Enlist all the services like provision of transportation, catering services, audiovisuals etc.that you will provide for this hotel event. Throw light on the type of event you are going to conduct if it is a wedding event, conference, or a birthday party. Share the details about the number of people who are expected to come to the event. Include the information about the type of meal you are planning to have in the event. Mention all the costs associated with the planning and execution of the event and present it to your audience in an easy to understand layout. Provide a detailed summary that lists the price for each item or activity and its purpose to make it easy for your client to envision the event and understand the related cost. With high quality and well-researched content used in our PPT templates, prepare a winning hotel event venue proposal in less time.
Microsoft Dynamics CRM 2015 Pre-sales Presentation MaterialAileen Gusni
This document provides an overview of Microsoft Dynamics CRM and why companies should use it. It discusses how CRM systems can increase sales and marketing efficiency by driving optimization of business intelligence, social insights, and campaign management. It highlights key features of Dynamics CRM like being able to use it on any device or browser, its flexibility, mobility, out of the box features, and how it covers sales, marketing, service, and social CRM functionality in one platform. Demonstrations are provided of its salesforce automation, marketing automation, service management, and social CRM capabilities.
Viver bem é ter tranquilidade, bem-estar e comodidade no seu dia a dia. Então, prepare-se para viver no Residencial Versalhes, no loteamento Village Santa Helena, integrado ao bairro Jardim Normândia, em Volta Redonda.
Com arquitetura inspirada no estilo neoclássico e acabamento de alto padrão, o residencial conta com 21 apartamentos com dois quartos, sendo uma suíte, área de lazer completa, além de opções Garden com ambientes harmônicos.
Top 10 Imperatives for Leading a Successful IT Improvement ProgramCognizant
Before embarking on an IT performance and process improvement program, companies should first understand the critical success factors so they can successfully advance their business objectives and increase adoption across the enterprise.
Life Sciences Implications of the U.S. Affordable Care ActCognizant
Life sciences companies will see substantial changes due to the upholding of the U.S. Affordable Care Act (ACA), and we offer a map of some of the forseeable developments for drug and device manufacturers, biotechnology innovators, and others. A primer on ACA impact on revenue opportunities, earnings pressures, pricing effectiveness, compliance and business models.
By applying engineering analytics across the business, manufacturers can reimagine how they design, produce and deliver new products and services that resonate with customer needs and preferences.
Putting the Experience in Digital Customer ExperienceCognizant
As the digital revolution has gained momentum, it has become widely understood that the “digital customer experience” is the key to engage with, delight and monetize customers in the modern world. However, only a miniscule number of companies believe their customers’ current digital experience qualifies as “excellent,” our primary research reveals.
Data visualization is a complex set of processes which is like an umbrella that covers both information and scientific visualization simultaneously. We can’t ignore the benefits of data visualization for its accurate quantities, as it is easily comparable. It also lends valuable suggestion pertaining to the usage of its technique and tools. Scientifically its effectiveness lies in our brain's ability to maintain a proper balance between perception and cognition through visualization.
“¿Porqué utilizar una TMO (Transformation Management Office) en proyectos de ...Fabián Alejandro Garófalo
En los proyectos de transformación de ciudades en ciudades inteligentes, una PMO no alcanza, debemos utilizar una TMO.
Acá podrás ver los lineamientos básicos de este tema.
Top Big data Analytics tools: Emerging trends and Best practicesSpringPeople
This document discusses top big data analytics tools and emerging trends in big data analytics. It defines big data analytics as examining large data sets to find patterns and business insights. The document then covers several open source and commercial big data analytics tools, including Jaspersoft and Talend for reporting, Skytree for machine learning, Tableau for visualization, and Pentaho and Splunk for reporting. It emphasizes that tool selection is just one part of a big data project and that evaluating business value is also important.
Building Digital Strategy Roadmap For Digital Transformation Complete DeckSlideTeam
Digital strategy roadmap is a blueprint for aligning business goals with your digital strategy. It shows how the company plans to embrace digital technologies to grow business and create better customer experience in the long term. Creating a digital strategy roadmap is not simply listing out key digital initiatives and giving them a tentative timeline. It follows an extensive research process which starts with Digital Review. It starts with uncovering consumer insights and market insights. One then develops Digital Strategy keeping in mind the digital goals and key initiatives in the short and long term. The third step in this process is Digital Planning which involves setting realistic time frame for implementing digital initiatives. The final steps involve setting KPIs for measuring the success of digital strategy. Taking the healthcare sector as a case study, our researchers have outlined the digital landscape of the industry and showed key digital strategies a healthcare provider wishes to implement for digital transformation. https://bit.ly/3bL7TlW
Joyous Moments Design is a full-service wedding planning company. They offer three planning packages ranging from day-of coordination to full planning. The document provides details of Halle and Josh's mid-level planning package including their budget, guest count, theme, and vendors. It then outlines their planning timeline from their initial meeting in April through final preparations in June for their June 27th wedding at the Atlanta Botanical Gardens.
Big data refers to the large volume of structured and unstructured data that businesses receive daily. It has three key aspects - volume, variety, and velocity. Big data is important for making good use of data, benefiting from cloud storage capabilities, enabling data visualization, and finding new business opportunities. It can lead to improved efficiency, sales, costs, customer service, and products/services. Common software used for big data includes Hadoop, Pig, and Hive. Challenges include finding useful information, data silos, inaccurate data, and a lack of skilled workers. Potential application areas are analytics, integration, cleaning, and updating data. The future of big data involves addressing privacy, security, latency, and scaling issues with
Happy Thoughts is a new event planning business in Bacolod City, Philippines. It aims to provide high quality event planning and coordination services for parties, conferences, and other events. The business is run by Alyssa Louise Lozanes, who has experience in event production and coordination from her communications degree. Happy Thoughts offers full event planning packages and individual services like budget planning, vendor coordination, and set up/break down supervision. It plans to target individual clients, businesses, and government organizations in Bacolod City and surrounding areas.
Event management process flow chart templatePoornima Singh
This document provides an overview of the key functions for managing events in an event management system, including searching for existing events, setting up new events, adding tasks, coordinators, registrations, speakers, expenses, registration options, invitations, documentation, lodging options, and attributes. It outlines how to add, edit, copy, and configure information for single or multi-level events. It also describes setting up lodging locations and attributes in the system or requesting new attributes be created.
This document provides an overview of transport modelling conducted at Swiss Federal Railways (SBB). It discusses the following key points:
1. SBB uses an agent-based simulation model called SIMBA MOBi to forecast demand and model mobility behavior. The model is used to analyze the impact of changes to transport supply on demand.
2. SBB collects data from surveys like the Mobility and Transport Microcensus to inform the models. This includes data on individual travel behavior and characteristics.
3. SBB conducts transport modelling to support various uses like service planning, infrastructure planning, and scenario analysis. The models help evaluate the effects of projects like new stations or train lines.
All about Big Data components and the best tools to ingest, process, store and visualize the data.
This is a keynote from the series "by Developer for Developers" powered by eSolutionsGrup.
How CPGs Can Win in the New Age of the Digital Consumeraccenture
This document discusses how consumer packaged goods (CPG) companies need to transform to succeed in the new digital era. It outlines that CPGs must radically rethink their relationships with consumers and customers and move beyond legacy operating models. Specifically, it recommends that CPGs 1) create a unified brand strategy and two-way dialogue with consumers, 2) take a systematic approach to growing their digital consumer base, and 3) rethink their routes to market and customer engagement strategies. It also stresses the importance of switching to a holistic, flexible and digitally-enhanced operating model.
Customer Engagement Solution - The alliance between Accenture Digital and Adobe Marketing Cloud provides joint solutions that help our clients dramatically improve both marketing performance and marketing efficiency by achieving relevance at scale.
Read more: http://bit.ly/1AjioCI
The document discusses best practices in marketing operations. It emphasizes establishing clear goals, metrics, and executive buy-in to drive accountability. Formalizing processes, reviews, and knowledge sharing helps balance marketing strategy and tactics. Success requires clarity, consistency, support, and cross-functional collaboration throughout the organization.
The document discusses various aspects of event planning and management, including types of events, event management processes, market research, SWOT analysis, the 5W1H approach to planning, venue selection, event marketing, and evaluation. Specifically, it covers corporate, educational, and social events. It emphasizes conducting thorough market research, analyzing competitors and products/services, and selecting appropriate dates, times, locations, and venues based on the target audience. SWOT analysis and the 5W1H framework are recommended for effective planning. Event marketing strategies include various print, electronic, outdoor, and transit media. Post-event evaluation is also highlighted.
Hotel Event Venue Proposal Template PowerPoint Presentation SlidesSlideTeam
As an event planner, it is essential to know how to write an event planning proposal to get the attention of all clients. Present a well-formatted event proposal to show your potential client that you have the skills they are looking for. To write an effective proposal, you need the ability to understand all the fine requirements of the client. Here we provide you with PPT slides to offer you guidelines for organizing events in locations both large and small. Give your audience an overview of hotel event venue services including the date, time, place, theme, and goal of the event. With the service timeline that we offer, represent your services and the time taken for execution of each service in a polished and readable format. Enlist all the services like provision of transportation, catering services, audiovisuals etc.that you will provide for this hotel event. Throw light on the type of event you are going to conduct if it is a wedding event, conference, or a birthday party. Share the details about the number of people who are expected to come to the event. Include the information about the type of meal you are planning to have in the event. Mention all the costs associated with the planning and execution of the event and present it to your audience in an easy to understand layout. Provide a detailed summary that lists the price for each item or activity and its purpose to make it easy for your client to envision the event and understand the related cost. With high quality and well-researched content used in our PPT templates, prepare a winning hotel event venue proposal in less time.
Microsoft Dynamics CRM 2015 Pre-sales Presentation MaterialAileen Gusni
This document provides an overview of Microsoft Dynamics CRM and why companies should use it. It discusses how CRM systems can increase sales and marketing efficiency by driving optimization of business intelligence, social insights, and campaign management. It highlights key features of Dynamics CRM like being able to use it on any device or browser, its flexibility, mobility, out of the box features, and how it covers sales, marketing, service, and social CRM functionality in one platform. Demonstrations are provided of its salesforce automation, marketing automation, service management, and social CRM capabilities.
Viver bem é ter tranquilidade, bem-estar e comodidade no seu dia a dia. Então, prepare-se para viver no Residencial Versalhes, no loteamento Village Santa Helena, integrado ao bairro Jardim Normândia, em Volta Redonda.
Com arquitetura inspirada no estilo neoclássico e acabamento de alto padrão, o residencial conta com 21 apartamentos com dois quartos, sendo uma suíte, área de lazer completa, além de opções Garden com ambientes harmônicos.
Top 10 Imperatives for Leading a Successful IT Improvement ProgramCognizant
Before embarking on an IT performance and process improvement program, companies should first understand the critical success factors so they can successfully advance their business objectives and increase adoption across the enterprise.
Life Sciences Implications of the U.S. Affordable Care ActCognizant
Life sciences companies will see substantial changes due to the upholding of the U.S. Affordable Care Act (ACA), and we offer a map of some of the forseeable developments for drug and device manufacturers, biotechnology innovators, and others. A primer on ACA impact on revenue opportunities, earnings pressures, pricing effectiveness, compliance and business models.
By applying engineering analytics across the business, manufacturers can reimagine how they design, produce and deliver new products and services that resonate with customer needs and preferences.
Inventory Management: How Incremental Improvements Drive Big GainsCognizant
By feeding social and mobile data into planning systems and overlaying analytics, manufacturers and retailers can reduce inventory waste and more precisely target customers.
Mobile apps for consumer finance in banking are increasingly crucial as customers expect mobility as a matter of course; such apps can help cut costs, improve branding and customer loyalty and heighten efficiency.
Defining and Harnessing Plurality of Thought for the Digital AgeCognizant
Beyond and different from physical identity diversity, it is plurality of thought that must be cultivated and promoted within today's far-sighted organizations. We offer an analysis and roadmap for instilling plurality of thought on the individual, team and corporate levels.
Business Process Management for Successful Core Banking ImplementationsCognizant
Banks must upgrade their business process management (BPM) systems for their core banking systems rapidly and seamlessly, sometimes retaining legacy systems but more often instituting new IT architectures. The four areas to focus on are human processes (and procedures), systems processes, business rules engines and business activity monitoring.
The Business Case for Test Environment Management ServicesCognizant
In the software development lifecycle, application testing is crucial - but often given short shrift by companies allocating temporary resources. Test environment management services (TEMS) is a perfect solution, reducing testing costs and errors while conducting test/QA environment management, monitoring and maintenance and cloud infrastructure provisioning.
There is no escaping the "bring your own device" trend, but organizations need to chart a middle path to strike a balance between employee freedom and corporate control over technology.
Preso on relevance of big data analytics to scholarly publishers, given at annual AAP/PSP conference. Focuses on the "product side" of big data and how advances in new models for evaluating medical evidence will affect medical publishers and offers recommendations on how to prepare for new developments in data-driven evidence-based medicine.
Guidance for Incorporating Big Data into Humanitarian Operations - 2015 - web...Katie Whipkey
This document provides guidance on incorporating big data into humanitarian operations. It defines big data as large, complex datasets that exceed traditional data analysis capabilities. Big data is characterized by its volume, variety, velocity and value. The document outlines the history of big data and provides an overview of different big data types. It also discusses benefits and challenges, as well as important considerations around policy, acquisition, use, and timeline for humanitarian organizations looking to utilize big data.
This document discusses big data, defining it as large volumes of structured, semi-structured, and unstructured data that can be mined for information. It outlines four key characteristics of big data: volume, variety, velocity, and variability. It also discusses big data applications across various industries and provides examples of real-time big data applications. Finally, it covers challenges of conventional data systems and risks associated with big data projects.
Introduction to Big Data: Definition, Characteristic Features, Big Data Applications, Big Data vs Traditional Data, Risks of Big Data, Structure of Big Data, Challenges of Conventional Systems, Web Data, Evolution of Analytic Scalability, Evolution of Analytic Processes, Tools and methods, Analysis vs Reporting, Modern Data Analytic Tools
This document provides an overview of big data, including definitions, characteristics, and technologies. It defines big data as large datasets that cannot be processed by traditional databases due to size and complexity. It describes the key aspects of big data as volume, variety, velocity, and veracity. The document also discusses how big data differs from traditional transaction systems, the promise and challenges of big data, and Hadoop as a framework for distributed processing of big data.
Benefits of Big Data in Health Care A Revolutionijtsrd
Lifespan of a normal human is increasing with the world population and it produces new challenge in health care. big data change the method of data management ,leverage data and analyzing data.with the help of big data we can reduces the costs of treatment, reducing medication and provide better treatment with predictive analytics. Health related data collected from various sources like electronic health record EHR ,medical imaging system, genomic sequencing, pay of records, pharmaceutical research , and medical devices, etc. are refers to as big data in healthcare. Dr. Ritushree Narayan ""Benefits of Big Data in Health Care: A Revolution"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd22974.pdf
Paper URL: https://www.ijtsrd.com/computer-science/data-miining/22974/benefits-of-big-data-in-health-care-a-revolution/dr-ritushree-narayan
Data Mining in the World of BIG Data-A SurveyEditor IJCATR
Rapid development and popularization of internet and technological advancement introduced massive amount
of data and still increasing continuously and daily. A very large amount of data generated, collected, stored, transferred by
applications such as sensors, smart mobile devices, cloud systems and social networks put us on the era of BIG data, a data
with huge size, complex and unstructured data types from many origins. So converting these BIG data into useful information
is essential, the technique for discovering hidden interesting patterns and knowledge insights into BIG data introduced
as BIG data mining. BIG data have rises so many problems and challenges related with handling, storing, managing,
transferring, analyzing and mining but it has provides new directions and wide range of opportunities for research
and information extraction and future of some technologies such as data mining in the terms of BIG data mining. In this
paper, we present the concept of BIG data and BIG data mining and mentioned problems with BIG data mining and listed
new research directions for BIG data mining and problems with traditional data mining techniques while dealing with
BIG data as well as we have also discuss some comparison between traditional data mining algorithms and some big data
mining algorithms that will be useful for new BIG data mining technology future.
This document discusses big data analytics in healthcare. It begins by defining translational bioinformatics and discussing the challenges and opportunities of big data. It then outlines how big data is generated from a variety of clinical, administrative, and other sources. Technologies like Hadoop and NoSQL databases are important for analyzing large and diverse healthcare datasets. The document argues that big data analytics can help innovate and accelerate healthcare by enabling predictive analytics, personalized medicine, and improving outcomes while reducing costs.
Using Big Data for Improved Healthcare Operations and AnalyticsPerficient, Inc.
Big Data technologies represent a major shift that is here to stay. Big Data enables the use of all types of data, including unstructured data like clinical notes and medical images, for new insights. Advanced analytics like predictive modeling and text mining will become more prevalent and intelligent with Big Data. Big Data will impact application development and require changes to data management approaches. Technologies like Hadoop, NoSQL databases, and semantic modeling will be important for healthcare Big Data.
JHIAPSMCON 2024 ; Presentation on Need for big data in tribal healthEx WHO/USAID
Need for Big Data in Tribal Health with examples of big data , their correct format, need for trained skill personnel , need for right software etc . It also shows how much potential is being missed upon and talks about the need to have detailed ABDM everywhere .
Big data is generating a lot of hype in every industry including healthcare. As my colleagues and I talk to leaders at health systems, we’ve learned that they’re looking for answers about big data. They’ve heard that it’s something important and that they need to be thinking about it. But they don’t really know what they’re supposed to do with it.
This document discusses various applications of big data across different domains. It begins by defining big data and its key characteristics of volume, variety and velocity. It then discusses how big data is being used in social media for recommendation systems, marketing, electioneering and influence analysis. Applications in healthcare discussed include personalized medicine, clinical trials, electronic health records, and genomics. Uses of big data in smart cities are also summarized, such as for smart transport, traffic management, smart energy, and smart governance. Specific examples and case studies are provided to illustrate the benefits and savings achieved from leveraging big data across these various sectors.
This document discusses data mining with big data. It begins with an agenda that covers problem definition, objectives, literature review, algorithms, existing systems, advantages, disadvantages, big data characteristics, challenges, tools, and applications. It then goes on to define the problem, objectives, provide a literature review summarizing several papers, and describe the architecture, algorithms, existing systems, HACE theorem that models big data characteristics, advantages of the proposed system, challenges, and characteristics of big data. It concludes that formalizing big data analysis processes will be important as data volumes continue increasing.
Big Data and its Impact on Industry (Example of the Pharmaceutical Industry)Hellmuth Broda
While we bemoan the ever increasing data tsunami new technologies allow to harvest the gold nuggets in the hay stack.
Using the example of the Pharmaceutical Industry some of the possible business uses for Big Data Analitics are outlined.
Big data is generating hype in healthcare, but true value will come as technical expertise and security improve. While most healthcare organizations currently have limited big data use beyond basic analytics, needs will grow as data sources expand through devices and the "internet of things". Predictive analytics using socioeconomic and other data could help predict patient outcomes and appointments. Prescriptive analytics may eventually provide personalized treatment paths for patients. Drug discovery may also be enhanced through big data. However, barriers like a lack of skills and integrated security currently limit big data to research applications.
Big data is to be implemented in as full way in real-time; it is still in a research. People
need to know what to do with enormous data. Insurance agencies are actively participating for the
analysis of patient's data which could be used to extract some useful information. Analysis is done in
term of discharge summary, drug & pharma, diagnostics details, doctor’s report, medical history,
allergies & insurance policies which are made by the application of map reduce and useful data is
extracted. We are analysing more number of factors like disease Types with its agreeing reasons,
insurance policy details along with sanctioned amount, family grade wise segregation.
Keywords: Big data, Stemming, Map reduce Policy and Hadoop.
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Big Data is the Future of Healthcare
1. • Cognizant 20-20 Insights
Big Data is the Future of Healthcare
With big data poised to change the healthcare ecosystem, organizations
need to devote time and resources to understanding this phenomenon and
realizing the envisioned benefits.
Executive Summary inexpensively and will radically change healthcare
delivery and research. Leveraging big data will
Big data is already changing the way business
certainly be part of the solution to controlling
decisions are made — and it’s still early in the
spiraling healthcare costs.
game. However, because big data exceeds the
capacity and capabilities of conventional storage, Simply by witnessing how big data has trans-
reporting and analytics systems, it demands new formed consumer IT, it is clear that the promise
problem-solving approaches. With the conver- of big data in healthcare is immense (think
gence of powerful computing, advanced database Google, Facebook and Apple’s Siri, which all rely
technologies, wireless data, mobility and social on processing and transmitting massive amounts
networking, it is now possible to bring together of data). While its potential in healthcare has not
and process big data in many profitable ways. been fulfilled, the question is not if, but when.
Big data solutions attempt to cost-effectively This white paper will define big data, explore
solve the challenges of large and fast-growing the opportunities and challenges it poses for
data volumes and realize its potential analytical healthcare, and recommend solutions and tech-
value. For instance, trend analytics allow you to nologies that will help the healthcare industry
figure out what happened, while root cause and take full advantage of this burgeoning trend.
predictive analytics enable understanding of why
it happened and what is likely to happen in the What Is Big Data?
future. Meanwhile, opportunity and innovative
A large amount of data becomes “big data”
analytics can be applied to identifying opportuni-
when it meets three criteria: volume, variety and
ties and improving the future.
velocity (see Figure 1). Here is a look at all three:
All healthcare constituents — members, payers,
providers, groups, researchers, governments, • Volume: Big data means there is a lot of data
—
terabytes or even petabytes (1,000 terabytes).
etc. — will be impacted by big data, which can
This is perhaps the most immediate challenge
predict how these players are likely to behave,
of big data, as it requires scalable storage and
encourage desirable behavior and minimize less
support for complex, distributed queries across
desirable behavior. These applications of big data
multiple data sources. While many organiza-
can be tested, refined and optimized quickly and
cognizant 20-20 insights | september 2012
2. tions already have the basic capacity to store video streams and Web content. While standard
large volumes of data, the challenge is being techniques and technologies exist to deal with
able to identify, locate, analyze and aggregate large volumes of structured data, it becomes a
specific pieces of data in a vast, partially significant challenge to analyze and process a
structured data set. large amount of highly variable data and turn
it into actionable information. But this is also
• Variety: Big data is an aggregation of many where the potential of big data potential lays,
types of data, both structured and unstruc-
as effective analytics allow you to make better
tured, including multimedia, social media,
decisions and realize opportunities that would
blogs, Web server logs, financial transactions,
not otherwise exist.
GPS and RFID tracking information, audio/
What Big Data Looks Like
THE WORLD’S INFORMATION IS DOUBLING
EVERY TWO YEARS, with a collossal 1.8 zettabytes
to be created and replicated in 2011.
New information being created in 2011 also includes replicated
information such as shared documents or duplicated DVDs.
In terms of sheer volume, 1.8 ZB of data is equivalent to:
Every person in the Over
Unites Stated tweeting
or 200 billion HD movies
3 tweets
per minute Each 120 minutes long
4,320 tweets per day per person
it would take one person
for 26,976 years non-stop 47 million years
of 24/7 viewing to watch every movie
Storing 1.8 ZB of information would take:
57.5 billion
32 GB Apple iPads
With that many iPads we could build
a mountain of iPads that is
25-times higher than
Mount Fuji
Mount Fuji 3,776 miles Mount iPad 94,400 miles
Source: “Extracting Value from Chaos,” IDC Universe study, 2011; Mashable.com,
http://mashable.com/2011/06/28/data-infographic/
Figure 1
cognizant 20-20 insights 2
3. • Velocity: While traditional data warehouse Bringing the Patient into the Loop
analytics tend to be based on periodic — daily, The healthcare model is undergoing an inversion.
weekly or monthly — loads and updates of data, In the old model, facilities and other providers
big data is processed and analyzed in real- or were incented to keep patients in treatment —
near-real-time. This is important in healthcare that is, more inpatient days translated to more
for areas such as clinical decision support, revenue. The trend with new models, including
where access to up-to-date information is vital accountable care organizations (ACO), is to
for correct and timely decision-making and incent and compensate providers to keep patients
elimination of errors. Current data is needed to healthy.
support automated decision-making; after all,
you can’t use five-minute-old data to cross a At the same time, patients are increasingly
busy street. Without current data, automated demanding information about their healthcare
decisions cannot be trusted, forcing expensive options so that they understand their choices
and time-consuming manual reviews of each and can participate in decisions about their care.
decision. Patients are also an important element in keeping
healthcare costs down and improving outcomes.
Big Data = Big Opportunities Providing patients with accurate and up-to-date
Big data has many implications for patients, information and guidance rather than just data
providers, researchers, payers and other will help them make better decisions and better
healthcare constituents. It will impact how these adhere to treatment programs.
players engage with the healthcare ecosystem,
especially when external data, regionalization, In addition to data that is readily available,
globalization, mobility and social networking are such as demographics and medical history,
involved (see Figure 2). another data source is information that patients
Sectors Positioned for Greater Gains from Big Data
Historical productivity growth in the U.S., 2000-2008.
24.0
23.5
22.5
Computer and electronic products
9.0 Manufacturing Information services
3.5 Administration, support and Wholesale trade
Transportation
3.0 waste management and warehousing Real estate and rental
Percent Growth
2.5 Professional services Finance and
2.0 insurance
Healthcare providers
1.5
1.0 Utilities Government
0.5 Retail trade
0
Accommodation and food
-0.5
-1.0 Arts and entertainment
-1.5 Management of companies Natural resources
-2.0
-2.5 Other services Educational services
-3.0 Construction
-3.5
Low High
Big data value potential index
Cluster A Cluster B Cluster C Cluster D Cluster E Bubble sizes denote relative size of GDP
Clusters reflect big data scale as measured by industry segment.
Source: U.S. Bureau of Labor Statistics; McKinsey Global Institute
Figure 2
cognizant 20-20 insights 3
4. divulge about themselves. When combined with healthcare system. While integrating external
outcomes, high-quality data provided by patients data poses similar challenges to integrating
can become a valuable source of information for internal data, there are also additional challenges,
researchers and others looking to reduce costs, such as privacy, security and legal concerns, as
boost outcomes and improve treatment. Several well as questions about authenticity, accuracy
challenges exist with self-reported data: and consistency.
• Accuracy: People tend to understate their As an example, external data about healthy
weight and the degree to which they engage people holds immense potential value for
in negative behaviors such as smoking; research and the future delivery of healthcare.
meanwhile, they tend to overstate positive Typical healthcare data includes only people
behaviors, such as exercise. These inaccuracies visiting doctors and hospitals, which biases that
can be accounted for by adjusting these biases data toward people seeking treatment. Adding
and — through big data processing — improve anonymous data from large numbers of healthy
accuracy time. people could help establish baselines, draw cor-
relations and help with understanding the nature
• Privacy concerns: People are generally
of illnesses. More data, effectively used, leads
reluctant to divulge information about
to better information and decisions, and more
themselves because of privacy and other
meaningful efforts.
concerns. Creative ways need to be found to
encourage and incent them to do so without Implications of Regionalization, Globalization
adversely impacting data quality. Effective
External data will come from different medical
mechanisms and assurances must be put into
systems in various regions and countries. Effec-
place to ensure the privacy of the data that
tively working across these disparate data reposi-
patients submit, including de-identification
tories can help identify local knowledge and
prior to external access.
best practices and leverage them regionally and
• Consistency: Standards need to be defined and globally. Aggregating data regionally and globally
implemented to promote consistency in self- also provides healthcare researchers with larger
reported data across the healthcare system populations for clinical studies, trending and
to eliminate local discrepancies and increase disease monitoring for epidemics, as well as early
the usefulness of data. Usage guidelines follow detection and the potential for improved results.
standards.
As data becomes less local and more regional and
• Facility: Mechanisms based on e-health
global, the quality of both data and metadata will
and m-health — such as mobility and social
improve over time as a result of increased data
networking — need to be creatively employed to
scrutiny and the efforts and contributions of big
ease members’ ability to self-report. Providing
data innovators across the broader healthcare
access to some de-identified data can simulta-
data ecosystem. At the same time, sharing data on
neously improve levels of self-reporting as a
a global basis will lead to security challenges, as
community develops among members.
well as issues resulting from different standards,
Improving Quality with External Data terminology and language barriers.
As progress is made toward initiatives such as Information Demands Drive Mobility
electronic health records (EHR), more and more
In many domains, mobility is a solution looking
external data will become available, and this
for a problem. Big data changes that. Demand
will become an integration challenge. External
for ubiquitous access to information mandates
sources include the National Health Information
mobility and other technologies that provide
Network (NHIN), health information exchanges
access on demand. As data becomes more
(HIE), health information organizations (HIO) and
current, it will be necessary to get information
regional health information organizations (RHIO).
into the hands of people with an immediate need
As sources and volume of information increase,
for it, such as for clinical decision support. Users
so will expectations.
will also demand access to this data so they have
In addition to integrating data within the precise and complete information to make the best
healthcare system, there are many potential possible healthcare decisions. Quality of care and
benefits of integrating data from outside of the improved outcomes will be the ultimate benefits.
cognizant 20-20 insights 4
5. Big Data, Social Media and Healthcare providers, labs, ancillary vendors, data vendors,
Social media will increase communication standards organizations, financial institutions
between patients, providers and communities — and regulatory agencies. Solutions for big data
e.g., patients with similar conditions and providers will break the traditional model, in which all data
with similar specialties. This will not only work to is loaded into a warehouse. Data federation will
globalize and democratize healthcare, but it is emerge as a solution in which the big data archi-
also a potentially important source of big data. tecture is based on a collection of nodes within
Social networking data poses challenges such as and outside the enterprise and accessed through
volume, lack of structure and velocity, as well as a layer that integrates the data and analytics.
new challenges around integration and accuracy.
The biggest obstacle to effective use of big data
For example, if a group of patients is discussing is the nature of healthcare information. Payers,
quality of care about a provider, there will likely providers, research centers and other constitu-
never be 100% consensus. Patient experiences ents all have their own silos of data. These are
will be different, and there will be biases based on fundamentally difficult to integrate because
accidents, misunderstandings and other factors. of concerns about privacy and propriety, the
The challenge will be to create useful information complex and fragmented nature of the data, as
out of this collection of data to provide informa- well as the different schemas and standards
tion such as provider ratings and improvement underlying the data and lack of metadata within
guidance. each silo. Even if everyone shared their data,
there would be enough challenges integrating it
Big Data = Big Challenges within the silo, much less outside it.
The problem in healthcare isn’t the lack of data
Although groups such as HIE, RHIO and NHIN are
but the lack of information that can be used to
working to facilitate the exchange of healthcare
support decision-making, planning and strategy.
data, adoption has been slow, as they have faced
As an example, a single patient stay generates
numerous challenges.
thousands of data elements, including diagnoses,
procedures, medications, medical supplies, lab Security
results and billing. These need to be validated,
The entire healthcare system can realize benefits
processed and integrated into a large data source
from democratizing big data access; for example,
to enable meaningful analysis. Multiply this by all
researchers can more easily collaborate, engage
the patient stays across the system and combine
in peer review and eliminate duplication of efforts.
it with the large number of points where data is
Researchers will also be able to more readily
generated and stored, and the scope of the big
identify opportunities where they can contribute
data challenge begins to emerge. And this is only
and collaborate.
a small part of the healthcare data landscape.
The cloud makes exposing and sharing big data
Outlined below are some of the specific challenges
easy and relatively inexpensive. However, sig-
of healthcare big data, including healthcare as a
nificant security and privacy concerns exist,
technology laggard, data fragmentation, security,
including the Health Insurance Portability and
standards and timeliness.
Accountability Act (HIPAA). A credentialing
Healthcare as a Technology Laggard process could facilitate and automate this access,
but there are complexities and challenges. Since
Healthcare is notoriously slow to redefine and
providers, patients and other interested parties
redesign processes and tends to be a laggard in
such as researchers need secure access, data
adopting technology that impacts the healthcare
access should be controlled by group, role and
system, outside of some specific areas such
function. Finally, the security of the data once
as care delivery and research. In addition, the
it leaves the cloud also needs to be assured. Big
healthcare technology landscape includes vast
data can be used to identify patterns and irregu-
areas of legacy technology, causing further com-
larities indicating and preventing security threats,
plications.
as well as other types of fraud.
Fragmentation
Standards
In healthcare, big data challenges are compounded
Dealing with the myriad of standards (and lack
by the fragmentation and dispersion of data
thereof) creates interoperability challenges, at
among the various stakeholders, including payers,
least through the medium term. Big data solution
cognizant 20-20 insights 5
6. architectures have to be flexible enough to cope Teradata, Vertica (HP) and Netezza (IBM). All of
with not only the additional sources but also the these solutions tend to have low time to value
evolution of schemas and structures used for and maintenance but relatively high total cost of
transporting and storing data. To ensure analytics ownership.
are meaningful, accurate and suitable, metadata
and semantic layers are needed that accurately Cloud-hosted software as a service (SaaS) solu-
define the data and provide business context and tions can help reduce the barriers of participating
guidance, including appropriate and inappropri- in the big data arena. Google and Amazon imple-
ate uses of the data. This evolution of standards ment MapReduce-based solutions to process
will eventually improve data quality. huge datasets using a large number of computers
— e.g., terabytes of data on thousands of comput-
Timeliness ers. MapReduce algorithms take large problems
Data timeliness is a challenge in various healthcare and divide them into a set of discrete tasks that
settings, such as clinical decision support, can then be distributed to a large number of com-
whether for making decisions or providing infor- puters for processing and the results combined
mation that guides decisions. Big data can make into a problem solution. Other cloud-based solu-
decision support simpler, faster and ultimately tions include Tableau, which supports visualiza-
more accurate because decisions are based on tion.
higher volumes of data that are more current and
Open-source Hadoop is a framework used by
relevant. In some cases, there is a very limited
many companies as a high-performance, scalable
window for clinical decision support — significant-
and relatively low-cost option for dealing with big
ly smaller than the time it takes to run a report
data. Training, professional services and support
or analytic query. Careful attention to data and
are needed to effectively deploy Hadoop solutions
query structure, scope and execution is needed
using the open source framework. Vendors such
to ensure that the constraints of the processing
as Greenplum (a division of EMC), Microsoft, IBM
windows are observed while still obtaining the
and Oracle have commercialized Hadoop and
best possible answer.
aligned and integrated it with the rest of their
In other cases, streams of data containing database and analytic offerings.
complex and varied events without an overarch-
SaaS is an important technology for democratiz-
ing structure need to be mined. In this case,
ing the results of big data. SaaS-based solutions
those events have to be turned into meaningful
allow healthcare entities that control subsets
measures in real time that are, in turn, suitable for
of data to expose access through services that
rapid analysis. In many cases, the only practical
eliminate some of the aggregation and integra-
solution is to discard most of the data after
tion challenges. Additional services that facilitate
analyzing it and selectively store those results.
analytics, both basic and advanced, can be made
It’s a tradeoff between the competitive advantage
part of the overall offering.
gained from the shorter feedback loop and the
quality of the information that is being fed back.
Recommendations
Capturing only processed data, streaming or
otherwise, results in a loss of data at the expense To successfully identify and implement big data
of creating information. The underlying principle solutions and benefit from the value that big data
of big data is to keep everything, but in some can bring, healthcare organizations need to devote
cases that’s just not practical or even useful — time and resources to visioning and planning. This
sometimes the hoarder reflex has to be checked will provide the foundation needed for strong
and rational decisions made. execution. Without this preparation, organizations
will not realize the envisioned benefits of big data
Big Data = Technology Choices and will risk being left behind competitors.
There are numerous technology solutions for Our recommendations for healthcare organiza-
dealing with big data, ranging from on-site to tions looking to leverage big data include:
cloud and from open source to proprietary.
On-site options that can tame big data include • Establish a business intelligence center of
excellence with a focus on big data.
cognizant 20-20 insights 6