This is the welcome address presentation of the maiden Ghana Data Science Summit 2019 (IndabaX Ghana) delivered by Delali Agbenyegah, Chairman of the organizing team.
Paddling Upstream from Data Collection to Improvement Cynthia Davis
CIC Advisory is a healthcare technology consulting firm whose mission is to help organizations use data and technology to improve patient care, safety, and efficiency. They believe better processes, not just new tools, are needed to improve outcomes. Effective leadership and data governance are also important. The document discusses CIC's approach to helping clients implement analytics and clinical workflows to define goals, measure performance, analyze data, and improve care delivery and outcomes according to a healthcare analytics adoption model. It provides examples of their work assisting with data quality issues, care coordination, and using analytics to enhance specific clinical areas like delivery outcomes.
The New Self-Service Analytics - Going Beyond the ToolsKatherine Gabriel
In today’s business climate, using data to make quick decisions is a common ask across organizations. To fulfill such asks business users want more, faster, and better access to data and analytic tools. IT wants to balance this need for speed with the responsibility to protect the data assets from security, privacy, and quality risks. A common solution to this scenario is self-service BI or self-service analytics. Chances are you are already using self-service BI in some way, shape, or form or have heard a pitch from an analytic tool vendor!
Self-service BI has been around for several decades and yet business users keep asking for more and more. Has self-service BI failed to deliver on its promise? Is it time to revisit what self-service really means? How can business and IT work together to achieve better decision-making outcomes for their organization?
We cover:
• How to demystify what self-service analytics means
• New trends driving the self-service analytics evolution
• Best practices and lessons learned from real-life examples
• Recommendations for making progress within your organization
Advance your self-service journey.
This document summarizes the agenda and topics for the May 2010 monthly meeting of the Metrics User Group Bay Area Chapter. The meeting included registration, announcements about upcoming speakers and topics throughout the year focused on metrics in different industries, a presentation on "Metrics in Vendor Management", and an open discussion session called "Bring a Problem" where members could discuss challenges and solutions. The goal of the group is to create a collaborative space for business and technical experts to exchange ideas and best practices around metrics intelligence and metrics-driven organizations.
Naveen Jain discusses building an analytics culture at First Tech Federal Credit Union. Key aspects included establishing executive commitment, focusing on fact-based decision making, developing an information infrastructure, and engaging business units. Early wins included improving onboarding to drive product penetration and reducing mortgage loan cycle times by integrating data and visualizing workflows. Lessons learned centered around maintaining executive alignment, engaging business stakeholders, prioritizing quick wins through an agile development approach.
The document summarizes the agenda and objectives of the Credit Union Analytics Summit on February 23, 2016. Over 110 attendees from 54 credit unions representing 10 million members and $140 billion in assets attended the summit. The goal was to recognize the strategic importance of data and share best practices for executing a data analytics journey. The agenda included keynote speakers on digital visions and data journeys, case studies on growing small business lending through data, and panels on changing the game through data analytics. Presentations focused on getting started with data analytics and trends in digital business analytics.
The document summarizes a Development Council meeting discussing the transition from the DAC data system to the new DART system. It notes that while DART is intended to solve data problems, excellence will come through a process of migration, not instantly. It introduces an "Information Excellence" initiative to enhance data accuracy and engagement during the transition. The initiative aims to get data right, append useful data, and make it easy to access. It outlines goals and values around understanding, shared responsibility, transparency, efficiency, continuous improvement, and integrity to guide the transition.
First Tech Presentation at Tableau ConferenceNaveen Jain
Pluto7 is an analytics solutions company that helps clients with predictive analytics, data visualization, and marketing automation. They helped a large credit union client improve customer segmentation and lifetime value modeling. Pluto7 deployed Alteryx for data blending and Tableau for self-service business intelligence. This helped power users in different business units perform their own analytics. The results included improved customer retention, margin, and lifetime value predictions to strategically acquire new customers.
Paddling Upstream from Data Collection to Improvement Cynthia Davis
CIC Advisory is a healthcare technology consulting firm whose mission is to help organizations use data and technology to improve patient care, safety, and efficiency. They believe better processes, not just new tools, are needed to improve outcomes. Effective leadership and data governance are also important. The document discusses CIC's approach to helping clients implement analytics and clinical workflows to define goals, measure performance, analyze data, and improve care delivery and outcomes according to a healthcare analytics adoption model. It provides examples of their work assisting with data quality issues, care coordination, and using analytics to enhance specific clinical areas like delivery outcomes.
The New Self-Service Analytics - Going Beyond the ToolsKatherine Gabriel
In today’s business climate, using data to make quick decisions is a common ask across organizations. To fulfill such asks business users want more, faster, and better access to data and analytic tools. IT wants to balance this need for speed with the responsibility to protect the data assets from security, privacy, and quality risks. A common solution to this scenario is self-service BI or self-service analytics. Chances are you are already using self-service BI in some way, shape, or form or have heard a pitch from an analytic tool vendor!
Self-service BI has been around for several decades and yet business users keep asking for more and more. Has self-service BI failed to deliver on its promise? Is it time to revisit what self-service really means? How can business and IT work together to achieve better decision-making outcomes for their organization?
We cover:
• How to demystify what self-service analytics means
• New trends driving the self-service analytics evolution
• Best practices and lessons learned from real-life examples
• Recommendations for making progress within your organization
Advance your self-service journey.
This document summarizes the agenda and topics for the May 2010 monthly meeting of the Metrics User Group Bay Area Chapter. The meeting included registration, announcements about upcoming speakers and topics throughout the year focused on metrics in different industries, a presentation on "Metrics in Vendor Management", and an open discussion session called "Bring a Problem" where members could discuss challenges and solutions. The goal of the group is to create a collaborative space for business and technical experts to exchange ideas and best practices around metrics intelligence and metrics-driven organizations.
Naveen Jain discusses building an analytics culture at First Tech Federal Credit Union. Key aspects included establishing executive commitment, focusing on fact-based decision making, developing an information infrastructure, and engaging business units. Early wins included improving onboarding to drive product penetration and reducing mortgage loan cycle times by integrating data and visualizing workflows. Lessons learned centered around maintaining executive alignment, engaging business stakeholders, prioritizing quick wins through an agile development approach.
The document summarizes the agenda and objectives of the Credit Union Analytics Summit on February 23, 2016. Over 110 attendees from 54 credit unions representing 10 million members and $140 billion in assets attended the summit. The goal was to recognize the strategic importance of data and share best practices for executing a data analytics journey. The agenda included keynote speakers on digital visions and data journeys, case studies on growing small business lending through data, and panels on changing the game through data analytics. Presentations focused on getting started with data analytics and trends in digital business analytics.
The document summarizes a Development Council meeting discussing the transition from the DAC data system to the new DART system. It notes that while DART is intended to solve data problems, excellence will come through a process of migration, not instantly. It introduces an "Information Excellence" initiative to enhance data accuracy and engagement during the transition. The initiative aims to get data right, append useful data, and make it easy to access. It outlines goals and values around understanding, shared responsibility, transparency, efficiency, continuous improvement, and integrity to guide the transition.
First Tech Presentation at Tableau ConferenceNaveen Jain
Pluto7 is an analytics solutions company that helps clients with predictive analytics, data visualization, and marketing automation. They helped a large credit union client improve customer segmentation and lifetime value modeling. Pluto7 deployed Alteryx for data blending and Tableau for self-service business intelligence. This helped power users in different business units perform their own analytics. The results included improved customer retention, margin, and lifetime value predictions to strategically acquire new customers.
Presentation from our event about leadership, organisations, and data. From our work with hundreds of non-profits we know there are powerful opportunities to be realised from getting to grips with data… and there are real challenges too. Many charity and social enterprise leaders tell us they are not confident about data and lack capability in this area. This presentation covers some key questions:
What do we mean by data?
Why is data a big deal in the non-profit sector these days?
How well is my organisation is doing with data compared to others?
Where do we start on the journey to improve?
What help is available to support us?
With a mixture of presentations, discussion and informal networking over lunch we hope to cover these questions and others you may have.
This event marks the launch of our ‘Data Evolution Plus’ project, one of just seven in the world supported by the Digital Impact programme run by the Centre for Philanthropy and Civil Society at Stanford University, part funded by the Bill and Melinda Gates Foundation.
We are fortunate to speak to many organizations in Hawaii and help them solve their business challenges with business process and technology implementation services. Every organization we speak to expresses how they want to improve reporting – they want to KNOW MORE but feel limited. If you would like to learn more about the Business Intelligence trends we are seeing in Hawaii, and how you can experience the power of knowledge in your company, please join us for this informative webinar we are co-hosting with Tableau. Tableau is a Business Intelligence market leader and we are proud to be their Hawaii partner.
"BI-Havior, Advanced Analytics as it should be", Yogev Peled, Founder and lea...Dataconomy Media
"BI-Havior, Advanced Analytics as it should be", Yogev Peled, Founder and leading innovation of QlikView-Israel
Watch more from Data Natives Tel Aviv 2016 here: http://bit.ly/2hw1MY0
Visit the conference website to learn more: http://telaviv.datanatives.io/
Follow Data Natives:
https://www.facebook.com/DataNatives
https://twitter.com/DataNativesConf
Stay Connected to Data Natives by Email: Subscribe to our newsletter to get the news first about Data Natives 2017: http://bit.ly/1WMJAqS
About the Author:
Founder and leading innovation of QlikView-Israel Master of Business Administration 20 years of experience in the field of business intelligence and data analysis. Winner of world Technologist Award for the year 2010 In Qlik.
Chisel Analytics helps companies realize the benefits of analytics by connecting them with specialists to define and execute comprehensive analytics strategies. While analytics provides obvious benefits, finding talent and implementing solutions can be difficult and costly. Chisel Analytics addresses these challenges through its dedicated focus on data and analytics talent solutions, including project-based staffing, permanent placements, freelance talent networks, and consulting services. It uses a proprietary three-step talent assessment process and analytics management tools to ensure clients access only the best candidates and can quickly expand their analytics capabilities.
Global data will grow exponentially from 7.9 zetabytes in 2015 to 40 zetabytes in 2020. Currently, it costs $5 million per year to store and manage just 1 petabyte of enterprise information. Data scientists spend 80% of their time preparing raw data for analysis rather than delivering business insights. Professional services can help bridge the gap between current technology capabilities and needed information availability and business resiliency by properly designing, deploying, and optimizing information management environments.
Vineeth Yeddula: DPC 360 – Transforming Direct Care through Data AnalyticsHint
Vineeth Yeddula, co-founder of health analytics company KPI Ninja, will discuss applying advanced analytics and natural language processing algorithms to prove the value of Direct Care.
Intergen's Data Insights BI Strategy provides a framework to align business and IT goals. It helps organizations understand business challenges and reduce risks through improved governance, guidance and insights. The strategy delivers a gap analysis, maturity assessment, and roadmap to prioritize recommendations for extracting greater value from data. This helps customers save money and improve employee and customer experience.
The document discusses accelerating healthcare organizations' move to value-based care through achieving information management maturity. It describes three key steps:
1. Developing an information management strategy, including conducting a data asset inventory, business workload analysis, and architectural component mapping to create a 3-5 year execution roadmap.
2. Implementing better data governance and improving data quality through evaluating and enhancing processes.
3. Modernizing existing business intelligence and data investments to achieve a more mature "Data 3.0" environment where data is actionable, explainable, trusted and contextualized.
The summary highlights the main points about the three key steps discussed in the document for achieving information management maturity to support the transition
How Should You Manage Data Governance During Coronavirus?Vivek Mishra
Understanding the relevance of data governance services in these times of the pandemic, let’s see what data leaders can do to strengthen the data governance capabilities of their organization, besides taking the help of data governance companies.
Presented by BrainSell, a top Sage ERP partner, www.brainsell.net
Sage Intelligence works with Sage 100, Sage 300, Sage 500 and more. See how it can make your life better today!
www.brainsell.net
Safeguarding Confidentiality and Maintaining Security in Commissioning Health...Alex Beisser MBCS
Looking at what factors to take into account when looking at measures to safeguard information, but nit to hinder innovation when commissioning Health and Social Care Services
Part 2 - 20 Years in Healthcare Analytics & Data Warehousing: What did we lea...Health Catalyst
Lessons learned over 20 years. This time we focus on technology lessons learned from experience at Intermountain Healthcare, Northwestern Medicine and Cayman Islands Health Authority
On 16 February 2016 the South Eastern Melbourne PHN invited stakeholders and consumers to attend forums to help reshape mental health services across our region. The views expressed at these events will guide decisions on whether existing services may need to change or if new services may need to be commissioned.
Business intelligence (BI) transforms data into actionable insights to inform strategic and tactical decisions. It provides detailed intelligence about an organization's state, unlike big data which focuses on large and complex datasets. Effective BI has three essential elements - providing relevant, reliable, and real-time information. It offers accurate, consistent, and accessible data to support smart decisions across departments like finance, HR, and the CEO's office. Implementing BI can improve efficiency, identify opportunities, and reduce costs for an organization.
This document describes a health program for employees that uses location-based data and gamification. The program provides tailored exercise recommendations and insights from HR data. It gamifies employees' daily workflows to encourage physical activity. Interviews with HR managers praise the program for allowing exercise during work hours and note the legal requirements for large companies to offer anti-stress programs. A business intelligence specialist comments that the health data could be used to renegotiate insurance contracts.
David Hughes - ECO 15: Digital connectivity in healthcareInnovation Agency
The Northern Digital Health Partnership aims to make the North of England internationally recognized for ground-breaking digital health innovation and services that transform health and care. More data has been produced in the last two years than in all of human history, yet 90% of NHS Trusts still use the outdated Windows XP operating system. The partnership will address inequalities in health, wealth, and investment across the North by funding and growing the digital health sector. By bringing together stakeholders from healthcare, universities, SMEs, and large companies, the partnership will inspire innovation, economic growth, and the spread of best practices to improve productivity and access to care.
Where does Data Democracy begin? [Segment-Synapse, 2019]aj_cache
This document discusses the concept of "data democracy" and how one company, Sun Basket, implemented it. Data democracy means empowering citizens and employees with access to data, tools, and analysis methods to independently access the value of their data. Sun Basket implemented data democracy by creating central data platforms and pipelines, embedding measurement into product design, and training employees to self-serve data analysis through accessible tools. This distributed analysis while maintaining central metrics. Risks like duplication, divergence and misinterpretation were mitigated through peer review and clear prioritization of metrics.
Improving practitioner decision making capabilities with data and analytics v1Ali Khan
This document discusses improving practitioner decision making through data and analytics at Auckland District Health Board (ADHB). It outlines Ali Khan's role as Data & Analytics Director and responsibilities at ADHB. It then discusses how ADHB is starting to use previously inaccessible data by applying new technologies to gain better clinical and operational insights. Finally, it proposes a self-service analytics model to enable business users to safely access and use their data to build new insights and drive innovation.
Health IT Summit San Diego 2015 - Case Study "Analytics Strategy: Enablement, Innovation, Transformation" with Eric Hixson, PhD., Senior Program Administrator, Business Intelligence, Cleveland Clinic
Augury Network Advisors is an IT consulting firm based in Rhode Island that provides cost-effective information management solutions for small and medium enterprises. They assess clients' information needs, design customized solutions using proven systems, implement the solutions, provide support and maintenance. Their solutions include online staff training and certification programs as well as individual care planning and monitoring systems for long-term care organizations.
Presentation from our event about leadership, organisations, and data. From our work with hundreds of non-profits we know there are powerful opportunities to be realised from getting to grips with data… and there are real challenges too. Many charity and social enterprise leaders tell us they are not confident about data and lack capability in this area. This presentation covers some key questions:
What do we mean by data?
Why is data a big deal in the non-profit sector these days?
How well is my organisation is doing with data compared to others?
Where do we start on the journey to improve?
What help is available to support us?
With a mixture of presentations, discussion and informal networking over lunch we hope to cover these questions and others you may have.
This event marks the launch of our ‘Data Evolution Plus’ project, one of just seven in the world supported by the Digital Impact programme run by the Centre for Philanthropy and Civil Society at Stanford University, part funded by the Bill and Melinda Gates Foundation.
We are fortunate to speak to many organizations in Hawaii and help them solve their business challenges with business process and technology implementation services. Every organization we speak to expresses how they want to improve reporting – they want to KNOW MORE but feel limited. If you would like to learn more about the Business Intelligence trends we are seeing in Hawaii, and how you can experience the power of knowledge in your company, please join us for this informative webinar we are co-hosting with Tableau. Tableau is a Business Intelligence market leader and we are proud to be their Hawaii partner.
"BI-Havior, Advanced Analytics as it should be", Yogev Peled, Founder and lea...Dataconomy Media
"BI-Havior, Advanced Analytics as it should be", Yogev Peled, Founder and leading innovation of QlikView-Israel
Watch more from Data Natives Tel Aviv 2016 here: http://bit.ly/2hw1MY0
Visit the conference website to learn more: http://telaviv.datanatives.io/
Follow Data Natives:
https://www.facebook.com/DataNatives
https://twitter.com/DataNativesConf
Stay Connected to Data Natives by Email: Subscribe to our newsletter to get the news first about Data Natives 2017: http://bit.ly/1WMJAqS
About the Author:
Founder and leading innovation of QlikView-Israel Master of Business Administration 20 years of experience in the field of business intelligence and data analysis. Winner of world Technologist Award for the year 2010 In Qlik.
Chisel Analytics helps companies realize the benefits of analytics by connecting them with specialists to define and execute comprehensive analytics strategies. While analytics provides obvious benefits, finding talent and implementing solutions can be difficult and costly. Chisel Analytics addresses these challenges through its dedicated focus on data and analytics talent solutions, including project-based staffing, permanent placements, freelance talent networks, and consulting services. It uses a proprietary three-step talent assessment process and analytics management tools to ensure clients access only the best candidates and can quickly expand their analytics capabilities.
Global data will grow exponentially from 7.9 zetabytes in 2015 to 40 zetabytes in 2020. Currently, it costs $5 million per year to store and manage just 1 petabyte of enterprise information. Data scientists spend 80% of their time preparing raw data for analysis rather than delivering business insights. Professional services can help bridge the gap between current technology capabilities and needed information availability and business resiliency by properly designing, deploying, and optimizing information management environments.
Vineeth Yeddula: DPC 360 – Transforming Direct Care through Data AnalyticsHint
Vineeth Yeddula, co-founder of health analytics company KPI Ninja, will discuss applying advanced analytics and natural language processing algorithms to prove the value of Direct Care.
Intergen's Data Insights BI Strategy provides a framework to align business and IT goals. It helps organizations understand business challenges and reduce risks through improved governance, guidance and insights. The strategy delivers a gap analysis, maturity assessment, and roadmap to prioritize recommendations for extracting greater value from data. This helps customers save money and improve employee and customer experience.
The document discusses accelerating healthcare organizations' move to value-based care through achieving information management maturity. It describes three key steps:
1. Developing an information management strategy, including conducting a data asset inventory, business workload analysis, and architectural component mapping to create a 3-5 year execution roadmap.
2. Implementing better data governance and improving data quality through evaluating and enhancing processes.
3. Modernizing existing business intelligence and data investments to achieve a more mature "Data 3.0" environment where data is actionable, explainable, trusted and contextualized.
The summary highlights the main points about the three key steps discussed in the document for achieving information management maturity to support the transition
How Should You Manage Data Governance During Coronavirus?Vivek Mishra
Understanding the relevance of data governance services in these times of the pandemic, let’s see what data leaders can do to strengthen the data governance capabilities of their organization, besides taking the help of data governance companies.
Presented by BrainSell, a top Sage ERP partner, www.brainsell.net
Sage Intelligence works with Sage 100, Sage 300, Sage 500 and more. See how it can make your life better today!
www.brainsell.net
Safeguarding Confidentiality and Maintaining Security in Commissioning Health...Alex Beisser MBCS
Looking at what factors to take into account when looking at measures to safeguard information, but nit to hinder innovation when commissioning Health and Social Care Services
Part 2 - 20 Years in Healthcare Analytics & Data Warehousing: What did we lea...Health Catalyst
Lessons learned over 20 years. This time we focus on technology lessons learned from experience at Intermountain Healthcare, Northwestern Medicine and Cayman Islands Health Authority
On 16 February 2016 the South Eastern Melbourne PHN invited stakeholders and consumers to attend forums to help reshape mental health services across our region. The views expressed at these events will guide decisions on whether existing services may need to change or if new services may need to be commissioned.
Business intelligence (BI) transforms data into actionable insights to inform strategic and tactical decisions. It provides detailed intelligence about an organization's state, unlike big data which focuses on large and complex datasets. Effective BI has three essential elements - providing relevant, reliable, and real-time information. It offers accurate, consistent, and accessible data to support smart decisions across departments like finance, HR, and the CEO's office. Implementing BI can improve efficiency, identify opportunities, and reduce costs for an organization.
This document describes a health program for employees that uses location-based data and gamification. The program provides tailored exercise recommendations and insights from HR data. It gamifies employees' daily workflows to encourage physical activity. Interviews with HR managers praise the program for allowing exercise during work hours and note the legal requirements for large companies to offer anti-stress programs. A business intelligence specialist comments that the health data could be used to renegotiate insurance contracts.
David Hughes - ECO 15: Digital connectivity in healthcareInnovation Agency
The Northern Digital Health Partnership aims to make the North of England internationally recognized for ground-breaking digital health innovation and services that transform health and care. More data has been produced in the last two years than in all of human history, yet 90% of NHS Trusts still use the outdated Windows XP operating system. The partnership will address inequalities in health, wealth, and investment across the North by funding and growing the digital health sector. By bringing together stakeholders from healthcare, universities, SMEs, and large companies, the partnership will inspire innovation, economic growth, and the spread of best practices to improve productivity and access to care.
Where does Data Democracy begin? [Segment-Synapse, 2019]aj_cache
This document discusses the concept of "data democracy" and how one company, Sun Basket, implemented it. Data democracy means empowering citizens and employees with access to data, tools, and analysis methods to independently access the value of their data. Sun Basket implemented data democracy by creating central data platforms and pipelines, embedding measurement into product design, and training employees to self-serve data analysis through accessible tools. This distributed analysis while maintaining central metrics. Risks like duplication, divergence and misinterpretation were mitigated through peer review and clear prioritization of metrics.
Improving practitioner decision making capabilities with data and analytics v1Ali Khan
This document discusses improving practitioner decision making through data and analytics at Auckland District Health Board (ADHB). It outlines Ali Khan's role as Data & Analytics Director and responsibilities at ADHB. It then discusses how ADHB is starting to use previously inaccessible data by applying new technologies to gain better clinical and operational insights. Finally, it proposes a self-service analytics model to enable business users to safely access and use their data to build new insights and drive innovation.
Health IT Summit San Diego 2015 - Case Study "Analytics Strategy: Enablement, Innovation, Transformation" with Eric Hixson, PhD., Senior Program Administrator, Business Intelligence, Cleveland Clinic
Augury Network Advisors is an IT consulting firm based in Rhode Island that provides cost-effective information management solutions for small and medium enterprises. They assess clients' information needs, design customized solutions using proven systems, implement the solutions, provide support and maintenance. Their solutions include online staff training and certification programs as well as individual care planning and monitoring systems for long-term care organizations.
The CSU Health Network implemented the web-based PowerDMS platform to digitally manage their AAAHC accreditation documents and policies. This transition reduced accreditation preparation time from 18 months to 4 months, cut paper and labor costs from $150,000 to $68,000, and improved staff access and preparedness for site surveys. The digital platform also helped drive a culture change where information is now shared more freely and collaboratively across the
Applying a User-Centered Design Approach to Improve Data Use in Decision MakingMEASURE Evaluation
This document summarizes the application of a user-centered design approach to improve data use in decision making. Key activities included conducting immersion interviews with data users, holding design workshops to understand barriers and generate ideas, and prototyping solutions. Some prototypes developed included a digital portal for accessing data and policies, a social media platform for communication, and data use scorecards for facilities. The process identified technical, behavioral, and organizational barriers to data use and provided lessons on engaging stakeholders and testing prototypes.
A Business-first Approach to Building Data Governance ProgramPrecisely
Traditional data governance programs struggle to make the connection between critical policies and processes and its impact on business value and results. This leaves data management and governance practitioners having to continually make the case for data governance to secure business adoption.
Watch this on-demand webinar to learn about the proven methods to identify the data that matters, connect governance policies to business objectives, and quickly deliver value through the life of the program.
Sutherland and International Institute for Analytics HIStalk Webinar - Charti...Sutherland Healthcare
The digital era is disrupting every industry and healthcare is no exception. Emerging technologies will introduce challenges and opportunities to transform operations and raise the bar of consumer experience. Success in this new era requires a new way of thinking, new skills, and new technologies to help your organization embrace digital health. This presentation demonstrates how to measure your organization's analytics maturity and design a strategy to digital transformation.
The three main objectives of this presentation are to show how to:
1) Leverage transformational design thinking methodologies to discover new opportunities, optimize existing operations, and improve experiences.
2) Measure and compare their organization's analytics maturity.
3) Develop a strategy for leveraging analytics and design thinking as a competitive differentiator
Applied Information Sciences AU is hosting an e-Health pitching and networking event on March 27, 2014. They are a software and systems engineering company founded in 1982 that has established an Australian office in Sydney. They will discuss their business model of taking on deliverable-based projects and investing in customer-targeted innovation research. They will also present two case studies, one involving a mobile solution for Texas regulatory compliance inspections, and one involving a cloud-based modernization of a legacy healthcare receivables system.
The Australian e-Health Research Centre is Australia's leading national eHealth research centre with around 60-70 staff. It is partnered with CSIRO, Queensland Health, and other engagement partners from government and industry. The Centre conducts research in biomedical imaging, mobile and tele-health, and health informatics to improve health systems and services through technologies like analytics, modeling, decision support, and telehealth. Specifically, it is running an NBN telehealth trial across six Australian sites to test the impact of telehealth on 150 test patients and 300 control patients.
The document summarizes research conducted by the Canadian Institute of Diversity and Inclusion (CIDI) on measuring the return on investment of diversity and inclusion programs. It highlights that CIDI conducted a literature review, online survey, interviews, and developed a toolkit. The research found that few organizations measure diversity beyond legal requirements, but those that do see benefits such as increased profile for initiatives among leadership. Successful measurement involves leadership accountability, relevant metrics, and communication of results. The toolkit provides tips for implementing measurement such as starting small, tracking leading indicators, and regularly reviewing metrics.
Surrounded by Geniuses: Knowledge Management Learning From Other IndustriesConnie Crosby
This document summarizes a presentation on knowledge management learning from other industries. It discusses knowledge management concepts and frameworks. It then provides case studies of knowledge management programs in various industries, including oil and gas, automotive, environmental services, banking, and fast moving consumer goods. Each case study describes the situation, process, results, and lessons learned. The role of information professionals in knowledge management initiatives is also discussed. The presentation aims to provide examples of how legal organizations can apply knowledge management strategies used in other industries.
20 Years in Healthcare Analytics & Data Warehousing: What did we learn? What'...Health Catalyst
The enterprise data warehouse (EDW) at Intermountain Healthcare went live in 1998. The EDW at Northwestern Medicine went live in 2006. Dale Sanders was the chief architect and strategist for both. The business inspiration behind Health Catalyst was, in essence, to create the commercial availability of the technology, analytics, and data utilization skills associated with these systems at Intermountain and Northwestern. Lee Pierce assumed leadership of the Intermountain EDW in 2008. Andrew Winter assumed leadership of the Northwestern EDW in 2009, and transitioned leadership of the EDW to Shakeeb Akhter in 2016. This webinar is a fireside chat among friends and colleagues as they look back across their healthcare IT decisions to answer these questions:
What did we do right and what did we do wrong?
What advice do we have for others in this emerging era of Big Data?
What does the future of analytics and Big Data look like in healthcare?
This document describes Sempra Energy's ergonomics program to reduce office injuries and costs. It outlines three pillars of success: 1) proactive identification of risks before injuries occur using web-based assessments, 2) management buy-in and support through communicating the business case, and 3) data-based decision making by identifying issues, measuring outcomes, and prioritizing efforts. The program led to increased participation, identification of high-risk employees, decreased injury rates and costs, and positive employee feedback about its usability and helpfulness.
Keeping the Pulse of Your Data: Why You Need Data Observability to Improve D...Precisely
With the explosive growth of DataOps to drive faster and more confident business decisions, proactively understanding the quality and health of your data is more important than ever. Data observability is an emerging discipline within data quality used to expose anomalies in data by continuously monitoring and testing data using artificial intelligence and machine learning to trigger alerts when issues are discovered.
Join Julie Skeen and Shalaish Koul from Precisely, to learn how data observability can be used as part of a DataOps strategy to improve data quality and reliability and to prevent data issues from wreaking havoc on your analytics and ensure that your organization can confidently rely on the data used for advanced analytics and business intelligence.
Topics you will hear addressed in this webinar:
• Data observability – what is it and how it can complement your data quality strategy
• Why now is the time to incorporate data observability into your DataOps strategy
• How data observability helps prevent data issues from impacting downstream analytics
• How integrated data catalog capabilities allow you to understand the context of alerts.
• Examples of how data observability can be used to prevent real-world issues
Reasons to go for self service analytics.pptxQuaeris
The self service analytics provides a way for organizations to empower every user in extracting value from their data independently. By democratizing access to analytics tools, everyone can leverage data to gain actionable insights faster. Here are some key reasons to adopt a self-service approach.
Microsoft: A Waking Giant in Healthcare Analytics and Big DataDale Sanders
Ten years ago, critics didn’t believe that Microsoft could scale in the second generation of relational data warehouses, but they did. More recently, many of these same pundits have criticized Microsoft for missing the technology wave du jour in cloud offerings, mobile technology, and big data. But, once again, Microsoft has been quietly reengineering its culture and products, and as a result, they now offer the best value and most visionary platform for cloud services, big data, and analytics in healthcare.
Strengthening an Organization’s Capacity to Demand and Use DataMEASURE Evaluation
Bringing data users and producers together, applying tools to improve data use, and training health professionals in data-informed decision making cannot be sustained unless mechanisms are put in place to ensure that host organizations are supportive and committed to continued data use.
Recording: http://universityofnc.adobeconnect.com/p9k8b5x0d9g/
Incorporating Digital Technology into Clinical TrialsPerficient, Inc.
Innovative mobile technologies are continuously being introduced, and savvy life sciences organizations are taking note. Many of these technologies have the potential to drastically reduce the time and cost of clinical trials, from subject recruitment to data collection, not to mention likely create a boost in patient engagement.
In our webinar, Perficient’s director of clinical operations solutions, Param Singh, explored the opportunities and challenges some of these new and emerging technologies present for the life sciences industry.
Topics included wearable devices, biosensors, mobile phones, integrations with clinical and safety systems, and patient-driven clinical research.
The document provides details about a survey being conducted by the Australian Information Industry Association (AIIA) Data & Analytics Special Interest Group. The survey aims to assess organizational maturity levels in effectively utilizing data and analytics. It will involve distributing a survey to members of partner organizations, analyzing the results, and conducting executive briefings. The timeline outlines plans to develop the survey, analyze responses in August-September, and hold briefings in October. Background information establishes the business issues motivating the survey and hypotheses about success factors related to data usage that will be tested. An overview of McKinsey and Gartner maturity models is also provided, as well as draft survey questions.
Similar to Welcome Address-GDSS 2019 (IndabaX Ghana) (20)
Day 2 (Lecture 1): Introduction to Statistical Machine Learning and ApplicationsAseda Owusua Addai-Deseh
Shakir Mohamed discusses building machine learning and AI capacity in Africa through IndabaX Ghana. The document outlines Shakir's work since 2017 strengthening ML/AI through community partnerships and local leadership development across the continent. It also summarizes a talk given in April 2019 on statistical machine learning principles and their application in areas like science, healthcare, and fairness.
Day 1 (Lecture 4): Data Science in the Retail Marketing and Financial ServicesAseda Owusua Addai-Deseh
Lecture on "A Practical Exposition of Data Science in the Retail Marketing and Financial Services" delivered by Delali Agbenyegah, Director of Data Science and Analytics, Express, Columbus OH, USA.
Day 2 (Lecture 3): Deep Learning Fundamentals - Architecture and ApplicationsAseda Owusua Addai-Deseh
Presentation on "Deep Learning Fundamentals - Architecture and Applications" delivered by Kwadwo Agyapon-Ntra, Entrepreneur in Training, Meltwater Entrepreneurial School of Technology.
Day 1 Keynote address by Winifred Kotin, Country Director of Superfluid Labs, Ghana on the theme: "The promise of Data Science for Economic Transformation".
Workshop on "Data Management - The Foundation of all Analytics" given by John Aidoo, Data Analytics Manager at Central Insurance Company, Van Wert, Ohio.
Presentation on "A Complete Overview of Data Driven Decision Making in a Quickly Changing Business Environment" given by Isaac Aidoo, Head of Data Analytics, Zoona.
Lecture on "Machine Learning Applications in Healthcare" delivered by Darlington Akogo, Founder, CEO, and Director of Artificial Intelligence, minoHealth AI Labs.
Workshop on "Building Successful Pipelines for Predictive Analytics in Healthcare" delivered by Danielle Belgrave, PhD, Researcher at Microsoft Research, Cambridge, UK.
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataKiwi Creative
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
State of Artificial intelligence Report 2023kuntobimo2016
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge