Large organizations are much less about organizing assets and the efficient production of tangible assets. It's now about bringing in talented people who can learn at a pace that gives the business competitive advantage.
How to Get Started or Expand Your Learning Analytics ProgramWatershed
Watershed co-hosted a workshop with ATD Nashville and Rustici Software to help L&D pros get started with learning analytics. Facilitators Mike Rustici and John Mattox, Ph.D., explored the five steps of learning analytics and helped attendees choose the right approach for their learning analytics programs.
Measuring the Business Impact of Learning: Lagging indicators to predictive a...Watershed
Under increasing pressure to show the value of learning investment, L&D departments are facing a changing learning landscape. LEO alongside Watershed recently conducted research on the appetite for measuring learning impact.
Join LEO and Watershed, who have used their extensive combined reach to bring together views from industry experts, for an exploration of practical ways to set strategy and get started in measuring the business impact of learning. This webinar will draw upon findings from LEO’s 2017 Measuring Impact insight and explore challenges from some of the world’s leading organizations.
Join the webinar to discover:
Steps to create a strategy for measuring the business impact of learning in your organization
The role of data analytics in L&D
How to build great business cases for future L&D investment
How to make business impact measurement sustainable
Learning Analytics Primer: Getting Started with Learning and Performance Anal...Watershed
Navigating the scope of disruptive analytics solutions to deliver maximum impact. Learn more about the importance of scalable learning in organizations that want to embrace an environment of continuous improvement. Mike Rustici provides a workshop on the five steps to get started with learning and performance analytics. Ranging from gathering your data using methods like experience API, to setting metrics and evaluating impact of learning programs.
Presented on May 7, 2015 to the TechChange Technology for M&E course. The aim of the presentation was to highlight key considerations in designing visualizations as part of international development programs, and includes both challenges of visualization in development programs and six things to consider when designing visualizations.
Data is not facts: The impossibility of being unbiasedAndrew Patricio
The document discusses the difference between data and facts, and how personal biases can influence how data is interpreted. It notes that while the goal is to make conclusions based on data, data is not always completely valid or unbiased. Any personal judgments about what data is valid can inadvertently reinforce biases. It recommends increasing self-awareness of one's own emotional state and biases to recognize when personal judgment may be compromised and to be more open-minded towards alternative perspectives.
In times of digitalization, every aspect of our life is connected to data. To leverage this data, companies need to understand and master analytics. In this presentation, Leo Marose will guide you through the world of big data & data science and show you his approach of how to build a data-driven organization.
You are a designer, or a coder, or a manager. Maybe you are even a unicorn. But you are not a data scientist. Still, you want to get more out of the mountain of data you have about your site or app to create a better user experience. No problem. Learn a process of data thinking that will help you to analyze, visualize, and really use data about your website or app without all the bothersome math and python programming.
Creating a Data-Driven Organizational Culture Amy Gaskins
The document discusses how to change an organization's culture without causing disruption. It recommends being clear about the direction of change, understanding what motivates employees, and showing them the path forward while anticipating potential issues. It also suggests celebrating small victories, empowering discovery and experimentation among employees, and repeating the process of learning and improvement.
How to Get Started or Expand Your Learning Analytics ProgramWatershed
Watershed co-hosted a workshop with ATD Nashville and Rustici Software to help L&D pros get started with learning analytics. Facilitators Mike Rustici and John Mattox, Ph.D., explored the five steps of learning analytics and helped attendees choose the right approach for their learning analytics programs.
Measuring the Business Impact of Learning: Lagging indicators to predictive a...Watershed
Under increasing pressure to show the value of learning investment, L&D departments are facing a changing learning landscape. LEO alongside Watershed recently conducted research on the appetite for measuring learning impact.
Join LEO and Watershed, who have used their extensive combined reach to bring together views from industry experts, for an exploration of practical ways to set strategy and get started in measuring the business impact of learning. This webinar will draw upon findings from LEO’s 2017 Measuring Impact insight and explore challenges from some of the world’s leading organizations.
Join the webinar to discover:
Steps to create a strategy for measuring the business impact of learning in your organization
The role of data analytics in L&D
How to build great business cases for future L&D investment
How to make business impact measurement sustainable
Learning Analytics Primer: Getting Started with Learning and Performance Anal...Watershed
Navigating the scope of disruptive analytics solutions to deliver maximum impact. Learn more about the importance of scalable learning in organizations that want to embrace an environment of continuous improvement. Mike Rustici provides a workshop on the five steps to get started with learning and performance analytics. Ranging from gathering your data using methods like experience API, to setting metrics and evaluating impact of learning programs.
Presented on May 7, 2015 to the TechChange Technology for M&E course. The aim of the presentation was to highlight key considerations in designing visualizations as part of international development programs, and includes both challenges of visualization in development programs and six things to consider when designing visualizations.
Data is not facts: The impossibility of being unbiasedAndrew Patricio
The document discusses the difference between data and facts, and how personal biases can influence how data is interpreted. It notes that while the goal is to make conclusions based on data, data is not always completely valid or unbiased. Any personal judgments about what data is valid can inadvertently reinforce biases. It recommends increasing self-awareness of one's own emotional state and biases to recognize when personal judgment may be compromised and to be more open-minded towards alternative perspectives.
In times of digitalization, every aspect of our life is connected to data. To leverage this data, companies need to understand and master analytics. In this presentation, Leo Marose will guide you through the world of big data & data science and show you his approach of how to build a data-driven organization.
You are a designer, or a coder, or a manager. Maybe you are even a unicorn. But you are not a data scientist. Still, you want to get more out of the mountain of data you have about your site or app to create a better user experience. No problem. Learn a process of data thinking that will help you to analyze, visualize, and really use data about your website or app without all the bothersome math and python programming.
Creating a Data-Driven Organizational Culture Amy Gaskins
The document discusses how to change an organization's culture without causing disruption. It recommends being clear about the direction of change, understanding what motivates employees, and showing them the path forward while anticipating potential issues. It also suggests celebrating small victories, empowering discovery and experimentation among employees, and repeating the process of learning and improvement.
Businesses that take advantage of diverse data sources, new analytics techniques, and disseminate insights to more people more quickly can realize a 60% greater return on their data assets compared to businesses that do not. The additional value projected over four years from a data dividend approach is over $1 trillion globally based on an IDC study. Companies must address problems related to limited data types, few people benefiting from insights, and outdated tools and technologies to fully realize the potential of a data dividend.
Practical Data Strategies in the real world of poor Data QualityAndrew Patricio
My presentation for EDW 2017
Foundation
Data Effectiveness
Data Sophistication
Data Prioritization
Consistency, Relevancy, Accuracy
Data Quality Culture
Reporting platform
Managing Requests
Summary
It seems the world is all fascinated with amazing insight from Big Data... but we all know what really matters is the VALUE unlocked from those insights...
Too often we assume that smart people will know what to do if the Masters of Data Science unloads new wisdom on the business. The reality is we have to empower the ultimate people who have to act on these new insights with processes and business levers that also smarter.
In this presentation, we explore what is the difference between insight and value... the difference between a finding that is interesting, and a finding that has impact.
The presentation captures a career of learnings in Big Data and Advanced Analytics as the Lead Partner who established and led Deloitte's Advanced Analytics practice in WA
The document discusses how big data and analytics can be used to identify early indicators of mental stress. It outlines the 5 V's of big data: volume, variety, velocity, veracity, and value. A case study is presented on using uncommon insights from behavioral data sources like wearable biometrics and online behaviors to better understand users. Challenges to leveraging big data insights at scale are also examined, such as security, data quality, analytic skills and costs. The potential for data-driven personalized marketing and experiences is explored.
This document discusses improving an organization's data IQ through data analytics. It outlines a 4-step approach: 1) Define questions to answer with data; 2) Take an inventory of available data; 3) Calculate and learn from the data through visualization and metrics; 4) Execute on insights from the data. The document provides an example of analyzing exhibitor data at events to understand performance trends and identify opportunities. It emphasizes regularly analyzing transactional data to guide strategic decisions.
Big Data Day LA 2015 - Data Science at Whisper - From content quality to pers...Data Con LA
Data Science plays an important part in improving the experiences of the users at Whisper, an anonymous social network. In this talk, we will first give an overview of the various problems the Data Science team tackles at Whisper. The focus will be on user understanding strategies that lend themselves to recommendation/personalization as well as identifying content with wide appeal. This talk will have greater depth and new content compared to our talk at the Data Science meetup in March.
Highlights from three different speakers on the actual use of dashboards for decisionmaking.
MEASURE Evaluation shares the results of a landscape analysis looking for specific examples of dashboards prompting action. BroadReach shares an example of how their Vantage platform is making HIV data accessible in South Africa. JSI shares an example of low-tech but high-impact dashboard development and coaching that has transformed districts in Zimbabwe.
The story of the Product Growth team at AtlassianIlias Flaounas
The document summarizes the work of the Product Growth team at Atlassian, an Australian software company. It discusses how the team uses behavioral data and experimentation to improve products and increase active users. Some key challenges included building infrastructure to integrate data sources, improving data quality, and driving cultural change to encourage data-driven decision making. The team analyzes user event data to identify areas for testing and works with product managers to modify the user experience based on experimental results.
Real-world state of the BI market: Webinar presentation slidesYellowfin
Thinking about implementing a Business Intelligence (BI) solution, but aren’t sure how to navigate your way through an increasingly noisy business analytics software industry? Relax. We’ve got you covered.
Check out the recording of our recent Webinar series – The real-world state of the BI market. Discover the inside knowledge you need to ensure BI and analytics success.
And the best bit? It’ll only take 30 minutes of your time.
What will you learn?
Listen in as we dissect the results of 2013’s Wisdom of Crowds Business Intelligence Market Study – the BI industry’s most in-depth research report into major global implementation, usage and technology developments.
The real-world state of the BI market Webinar, and associated slides, outline:
•How to take advantage of the latest trends shaping the BI marketplace
•Why new generation consumer-oriented BI is set to dominate at the expensive of ‘traditional’ BI
•Why Yellowfin was rated No.1 in DAS’ competitive ranking of the world’s foremost BI vendors
If you’re thinking of deploying BI, you need to see beyond the hype. Take advantage of our expert analysis and explanation of the industry’s most prevalent, tangible and relevant trends.
This document discusses big data and how organizations can get the most value from it. It defines big data as large data sets that are difficult to process using traditional data management tools due to their size and complexity. The document outlines the characteristics of big data, including volume, velocity, and variety. It also discusses different sources of big data, challenges of big data, and how organizations can analyze big data to gain insights, make predictions, and gain competitive advantages. The document advocates for measuring the success and value of big data initiatives.
Data Science at Atlassian: The transition towards a data-driven organisationIlias Flaounas
Atlassian transitioned to becoming a more data-driven organization by forming a Product Growth Team to discover value in customer behavioral data and champion data-driven decision making. They built analytics infrastructure to collect and analyze large amounts of customer event data. Some challenges included educating people that analytics is about more than just counting, building new infrastructure to replace silos and improve data quality, and overcoming reluctance to move away from gut feelings. A/B testing was used to constantly improve products in a measurable way, conducting over 100 experiments last year. Overall, Atlassian applied the scientific method used in other fields like medicine to make their development more evidence-based and data-driven.
Creating a Data-Driven Organization, Data Day Texas, January 2016Carl Anderson
What does it mean for an organization to be data-driven? How does an organization get there? Many organizations think that they are data-driven but the reality is that few genuinely are and that we could all do better. In this talk, I cover what it truly means to be data driven. The answer, it turns out, is not to do with the latest tools and technologies (although they can help) but having an appropriate data culture than spans the whole organization, where data is accessible broadly, embedded into operations and processes, and enables effective decision making. In this presentation, I dissect what an effective data-driven culture entails, covering facets such as data leadership, data literacy, and A/B testing, illustrating concepts with examples from different industries as well as personal experience.
How To Make The Most Out of Enterprise DataSnapShot
CHAT 2016 - China Hotel And Tourism Conference Presentation by Stefan Tweraser. SnapShot Hotel Analytics CEO Stefan Tweraser explains how business leaders can make the most out of the data available to them.
This document provides an introduction and agenda for a course on digital technologies and innovation. It outlines the following key points:
- The course will help managers understand how technologies can enrich their careers and improve decision making through data analytics and machine learning.
- The instructor has experience working with major tech companies and conducting case studies and conferences in Europe.
- The objective is to build students' knowledge of applying business analytics in different industry settings.
- Topics will include the data revolution, digital technologies, decision making, innovation, and social business. Participation and a final exam will determine grades.
Speech given at HR Congress Amsterdam 29th November 2016
See also HR Transformer Blog Post -> 7 Challenges that People Analytics Must Overcome -> https://goo.gl/BZ3UTf
The document discusses how cognitive computing and artificial intelligence are disrupting various industries by enabling non-traditional business models. It provides examples of the world's largest taxi, accommodation, retailer, and media companies that own no vehicles, real estate, inventory, or create content, respectively. The document advocates that companies leverage cognitive computing to gain insights from vast amounts of new data through predictive, descriptive, and cognitive capabilities. It outlines steps to become a cognitive business through developing a strategy, extending analytics with cognitive, moving to cognitive cloud services, building cognitive infrastructure, and adopting cognitive security.
Data science involves using automated methods to analyze massive amounts of data from various structured and unstructured sources to extract knowledge and insights. It is an interdisciplinary field that incorporates computer science, modeling, statistics, analytics, and mathematics. There is a growing demand and shortage of data scientists across many industries as organizations face challenges in organizing large amounts of data but most companies are not seeing significant value from their data science efforts yet.
Data literacy is now a sought-after ability for many workers. To begin, leaders must be aware of data literacy and develop a common language for learning.
How to Measure What Matters:
What is a KPI and what makes a good one?
Who should be involved in data driven decision making in your business?
What tools do you need to start being data-driven?
What should you measure?
Next Steps & Best Practices
This document summarizes a roundtable discussion about breaking down silos between primary research and platform analytics teams within organizations. Key discussion points included that 1) traditional organizational structures designed for the industrial age are preventing companies from leveraging all of their data, 2) there is often overinvestment in technology but underinvestment in developing employee skills, and 3) creating a truly data-driven culture requires openness, collaboration, and experimentation across departments beyond just research and analytics. The roundtable participants explored how blending skills and exposing employees to different business functions can help companies overcome data silos.
Businesses that take advantage of diverse data sources, new analytics techniques, and disseminate insights to more people more quickly can realize a 60% greater return on their data assets compared to businesses that do not. The additional value projected over four years from a data dividend approach is over $1 trillion globally based on an IDC study. Companies must address problems related to limited data types, few people benefiting from insights, and outdated tools and technologies to fully realize the potential of a data dividend.
Practical Data Strategies in the real world of poor Data QualityAndrew Patricio
My presentation for EDW 2017
Foundation
Data Effectiveness
Data Sophistication
Data Prioritization
Consistency, Relevancy, Accuracy
Data Quality Culture
Reporting platform
Managing Requests
Summary
It seems the world is all fascinated with amazing insight from Big Data... but we all know what really matters is the VALUE unlocked from those insights...
Too often we assume that smart people will know what to do if the Masters of Data Science unloads new wisdom on the business. The reality is we have to empower the ultimate people who have to act on these new insights with processes and business levers that also smarter.
In this presentation, we explore what is the difference between insight and value... the difference between a finding that is interesting, and a finding that has impact.
The presentation captures a career of learnings in Big Data and Advanced Analytics as the Lead Partner who established and led Deloitte's Advanced Analytics practice in WA
The document discusses how big data and analytics can be used to identify early indicators of mental stress. It outlines the 5 V's of big data: volume, variety, velocity, veracity, and value. A case study is presented on using uncommon insights from behavioral data sources like wearable biometrics and online behaviors to better understand users. Challenges to leveraging big data insights at scale are also examined, such as security, data quality, analytic skills and costs. The potential for data-driven personalized marketing and experiences is explored.
This document discusses improving an organization's data IQ through data analytics. It outlines a 4-step approach: 1) Define questions to answer with data; 2) Take an inventory of available data; 3) Calculate and learn from the data through visualization and metrics; 4) Execute on insights from the data. The document provides an example of analyzing exhibitor data at events to understand performance trends and identify opportunities. It emphasizes regularly analyzing transactional data to guide strategic decisions.
Big Data Day LA 2015 - Data Science at Whisper - From content quality to pers...Data Con LA
Data Science plays an important part in improving the experiences of the users at Whisper, an anonymous social network. In this talk, we will first give an overview of the various problems the Data Science team tackles at Whisper. The focus will be on user understanding strategies that lend themselves to recommendation/personalization as well as identifying content with wide appeal. This talk will have greater depth and new content compared to our talk at the Data Science meetup in March.
Highlights from three different speakers on the actual use of dashboards for decisionmaking.
MEASURE Evaluation shares the results of a landscape analysis looking for specific examples of dashboards prompting action. BroadReach shares an example of how their Vantage platform is making HIV data accessible in South Africa. JSI shares an example of low-tech but high-impact dashboard development and coaching that has transformed districts in Zimbabwe.
The story of the Product Growth team at AtlassianIlias Flaounas
The document summarizes the work of the Product Growth team at Atlassian, an Australian software company. It discusses how the team uses behavioral data and experimentation to improve products and increase active users. Some key challenges included building infrastructure to integrate data sources, improving data quality, and driving cultural change to encourage data-driven decision making. The team analyzes user event data to identify areas for testing and works with product managers to modify the user experience based on experimental results.
Real-world state of the BI market: Webinar presentation slidesYellowfin
Thinking about implementing a Business Intelligence (BI) solution, but aren’t sure how to navigate your way through an increasingly noisy business analytics software industry? Relax. We’ve got you covered.
Check out the recording of our recent Webinar series – The real-world state of the BI market. Discover the inside knowledge you need to ensure BI and analytics success.
And the best bit? It’ll only take 30 minutes of your time.
What will you learn?
Listen in as we dissect the results of 2013’s Wisdom of Crowds Business Intelligence Market Study – the BI industry’s most in-depth research report into major global implementation, usage and technology developments.
The real-world state of the BI market Webinar, and associated slides, outline:
•How to take advantage of the latest trends shaping the BI marketplace
•Why new generation consumer-oriented BI is set to dominate at the expensive of ‘traditional’ BI
•Why Yellowfin was rated No.1 in DAS’ competitive ranking of the world’s foremost BI vendors
If you’re thinking of deploying BI, you need to see beyond the hype. Take advantage of our expert analysis and explanation of the industry’s most prevalent, tangible and relevant trends.
This document discusses big data and how organizations can get the most value from it. It defines big data as large data sets that are difficult to process using traditional data management tools due to their size and complexity. The document outlines the characteristics of big data, including volume, velocity, and variety. It also discusses different sources of big data, challenges of big data, and how organizations can analyze big data to gain insights, make predictions, and gain competitive advantages. The document advocates for measuring the success and value of big data initiatives.
Data Science at Atlassian: The transition towards a data-driven organisationIlias Flaounas
Atlassian transitioned to becoming a more data-driven organization by forming a Product Growth Team to discover value in customer behavioral data and champion data-driven decision making. They built analytics infrastructure to collect and analyze large amounts of customer event data. Some challenges included educating people that analytics is about more than just counting, building new infrastructure to replace silos and improve data quality, and overcoming reluctance to move away from gut feelings. A/B testing was used to constantly improve products in a measurable way, conducting over 100 experiments last year. Overall, Atlassian applied the scientific method used in other fields like medicine to make their development more evidence-based and data-driven.
Creating a Data-Driven Organization, Data Day Texas, January 2016Carl Anderson
What does it mean for an organization to be data-driven? How does an organization get there? Many organizations think that they are data-driven but the reality is that few genuinely are and that we could all do better. In this talk, I cover what it truly means to be data driven. The answer, it turns out, is not to do with the latest tools and technologies (although they can help) but having an appropriate data culture than spans the whole organization, where data is accessible broadly, embedded into operations and processes, and enables effective decision making. In this presentation, I dissect what an effective data-driven culture entails, covering facets such as data leadership, data literacy, and A/B testing, illustrating concepts with examples from different industries as well as personal experience.
How To Make The Most Out of Enterprise DataSnapShot
CHAT 2016 - China Hotel And Tourism Conference Presentation by Stefan Tweraser. SnapShot Hotel Analytics CEO Stefan Tweraser explains how business leaders can make the most out of the data available to them.
This document provides an introduction and agenda for a course on digital technologies and innovation. It outlines the following key points:
- The course will help managers understand how technologies can enrich their careers and improve decision making through data analytics and machine learning.
- The instructor has experience working with major tech companies and conducting case studies and conferences in Europe.
- The objective is to build students' knowledge of applying business analytics in different industry settings.
- Topics will include the data revolution, digital technologies, decision making, innovation, and social business. Participation and a final exam will determine grades.
Speech given at HR Congress Amsterdam 29th November 2016
See also HR Transformer Blog Post -> 7 Challenges that People Analytics Must Overcome -> https://goo.gl/BZ3UTf
The document discusses how cognitive computing and artificial intelligence are disrupting various industries by enabling non-traditional business models. It provides examples of the world's largest taxi, accommodation, retailer, and media companies that own no vehicles, real estate, inventory, or create content, respectively. The document advocates that companies leverage cognitive computing to gain insights from vast amounts of new data through predictive, descriptive, and cognitive capabilities. It outlines steps to become a cognitive business through developing a strategy, extending analytics with cognitive, moving to cognitive cloud services, building cognitive infrastructure, and adopting cognitive security.
Data science involves using automated methods to analyze massive amounts of data from various structured and unstructured sources to extract knowledge and insights. It is an interdisciplinary field that incorporates computer science, modeling, statistics, analytics, and mathematics. There is a growing demand and shortage of data scientists across many industries as organizations face challenges in organizing large amounts of data but most companies are not seeing significant value from their data science efforts yet.
Data literacy is now a sought-after ability for many workers. To begin, leaders must be aware of data literacy and develop a common language for learning.
How to Measure What Matters:
What is a KPI and what makes a good one?
Who should be involved in data driven decision making in your business?
What tools do you need to start being data-driven?
What should you measure?
Next Steps & Best Practices
This document summarizes a roundtable discussion about breaking down silos between primary research and platform analytics teams within organizations. Key discussion points included that 1) traditional organizational structures designed for the industrial age are preventing companies from leveraging all of their data, 2) there is often overinvestment in technology but underinvestment in developing employee skills, and 3) creating a truly data-driven culture requires openness, collaboration, and experimentation across departments beyond just research and analytics. The roundtable participants explored how blending skills and exposing employees to different business functions can help companies overcome data silos.
Data Storytelling: The only way to unlock true insight from your dataBright North
Data visualisation is failing. Many businesses are relying on tools like Excel and PowerPoint to deliver an engaging data story without first establishing the plot. Bright North's latest whitepaper explains why Data Storytelling is the only way to unlock true insight from your data and lists five steps you can take to give your data story a happy ending.
What are top industry experts saying about privacy regulations, the future of digital analytics, and improving data quality?
What are other leading analytics teams doing to foster success?
What strategies can you implement to improve your analytics implementations?
Answers to these questions help analysts and organizations improve their data quality to create better user experiences, expand their brand influence, and increase revenue.
The best part, you can find answers in this ebook from leaders like James McCormick from Forrester, Adam Greco and Michele Kiss from Analytics Demystified, Krista Seiden from Quantcast, and many others. You will also gain insights from other analytics teams who have shared their personal tips and tricks to hack the analytics problems analysts face daily. You’ll discover how to:
Implement strategies to put the customer first to create better user experiences.
How to improve your data intelligence maturity to increase ROI.
Getting executive buy-in to increase the importance of data quality within your organization.
And so much more.
Data is worthless if you don;t communicateAbhi Rana
This document discusses the importance of data communication for managers. It notes that while data scientists analyze data, managers must communicate insights to key stakeholders to enable effective decision making. Managers can now make decisions based on data rather than intuition. The document provides examples showing that communicating research findings can lead to adoption of ideas or creation of new businesses. It outlines a framework for communicating data that involves defining a business problem, measuring relevant variables, collecting and analyzing available data, developing initial and refined solutions, and communicating the business impact. The overall message is that data is only valuable if insights are effectively communicated.
Data Literacy and Data Virtualization: A Step-by-step Guide to Bolstering You...Denodo
Watch full webinar here: https://bit.ly/2KLc1dE
An organization’s effectiveness can only be as good as the understanding of their data. Hence it is important for both the frontline workers as well as the managers to be data literate, so that they can they understand how the business is functioning, decide if any changes need to be made, and quickly make decisions to realize better outcomes. However, successful data literacy requires stringent processes and an effective tool to operationalize them.
Listen to the our replay on the 10-steps to building a data-literate organization, and how data virtualization can help implement the underpinning processes.
Sense Corp and Denodo have partnered to combine state-of-the art professional services with the industry’s most advanced data virtualization platform to streamline data access in support of the most critical business needs.
Watch the replay to learn:
- The 10-steps to data literacy; what you can do to become a high performer.
- How to use data virtualization as the foundation to implementing data literacy processes.
- Examples of companies that have achieved high levels of data literacy.
Download the Sense Corp 10 Steps to Data Literacy eBook to learn more.
Living in a data economy: Transforming the role of HRMartin Sutherland
In a data economy, wealth is defined by extracting value from good quality data. The challenge is how to ensure a sustainable source of good quality HR data and how to turn that data into a compelling story that engages business leaders and creates a competitive advantage through talent.
These slides were presented by Pauline Chow, Lead Instructor in Data Science & Analytics, General Assembly for her talk at Data Science Pop Up LA in September 14, 2016.
Digital Workplace Quick Poll: What's not, what's not!Jane McConnell
Priority topics as voted by 110 organizations worldwide in the July 2013 Quick Poll for the 2014 Digital Workplace Survey.
Lots of food for thought for digital practitioners and their eco-system of partners, consultants, agencies and vendors.
Branding committee logo meeting 8.10.12ihlstatemsus
The document discusses plans for a new statewide longitudinal data system (SLDS) in Mississippi that will track student outcomes from pre-K through employment. The SLDS will be a web-based tool launching on July 1, 2013 that provides educational and workforce data to various stakeholders. It aims to improve decision making, economic development, and the overall quality of life in Mississippi by serving as a central location for accurate, contextualized information. The role of communications is to promote awareness and proper use of the new system while addressing privacy concerns. The marketing committee discusses branding, target audiences, key messages, and logo design options.
Sharing the story on how connected architecture came into being. The thought process that has led up to a people perspective on data architecture and what it takes to create a sustainable data landscape.
This presentation was given at the Free Frogs customer day in May 2018.
This document provides an introduction to knowledge management. It defines knowledge and how it can reside in people's heads, information systems, or documents. It discusses how knowledge can be managed directly through tools and techniques or indirectly by fostering an environment where knowledge activities are encouraged. It also describes how knowledge management builds upon information management and provides several benefits, including addressing information overload and preventing poor decision making. Finally, it discusses Lambeth's pragmatic approach to knowledge management and the development of toolkits to guide practitioners to appropriate tools.
Data Analytics Integration in OrganizationsKavika Roy
What is data analytics and how it is used by large organizations to support strategic and organizational decisions.?
Read the full article to know more
https://www.datatobiz.com/blog/integrating-data-analytics-organizations-professional/
This document describes a case study by ELEKS Data Science team to develop CareerWhiz, a data-driven tool that uses machine learning to predict career development paths and provide personalized career advice to users based on their profiles. The tool analyzes over 145GB of job data to build a model that matches users to the most suitable future roles, skills and education needed. A sample user profile shows recommendations for pathways to different career goals. ELEKS believes this tool can help organizations better manage talent through improved hiring, promotions and employee development decisions informed by data.
Business Intelligence Analysis - The key to organisational and business successcssa
Cavin Griffiths, Executive Business Intelligence at Telkom discusses important of Business Intelligence in large organisations and the value add over time as more people buy into the philosophy.
PresentationThe capability of enormous information - or the new .pdfaradhana9856
Presentation
The capability of enormous information - or \"the new oil,\" as a few CIOs and industry
specialists have named it - appears as perpetual as it is subtle. Huge information battles are in
their early stages, with endeavors of all stripes making sense of how to utilize new, old,
unstructured and outer information to make a focused procedure.
Despite the fact that the standard procedures for get-together information and investigating its
value are as yet coming to fruition, organizations know they have to get in the diversion. They
are gathering and mining information on clients, workers, market flow, the climate, and so on,
with instruments going from conventional business insight (BI) frameworks to more trial ones,
for example, geospatial and constant versatile following innovations, online networking
investigation and NoSQL databases.
SearchCIO isn\'t remaining on the sidelines, either. Our Essential Guide on enormous
information incorporates a preliminary for beginning with information social affair and
investigation, true contextual investigations from the CIO and business viewpoints, tips on the
best way to beat hindrances experienced by the huge information pioneers, and expectations on
the following huge information boondocks and what it implies for aggressive methodology.
This aide on the development of huge information is a piece of SearchCIO\'s CIO Briefings
arrangement, which is intended to give IT pioneers vital administration and basic leadership
guidance on opportune themes.
The most effective method to Collect Big Data ?
1 year agoby Ayush1 Comment
The most effective method to Collect Big Data ? : Yes we knoe you would have various inquiries
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Astounding Facts about Rise of Big Data Collectection
Consistently buyers make around 11.5 million installments by utilizing Paypal
Consistently, Walmart (chain of rebate retail chains) handles more than 1 million client
exchanges
510 remarks, 293000 status and 136000 overhauls are posted on Facebook consistently
Consistently, ~7000 tweets are made on Twitter
Simply picture the measure of information created if the above details are figured for 24 hours?
Whoa! That is huge.
The term \'Enormous Data\' is ordinarily connected with 4V\'s to be specific, Velocity, Volume,
Variety, Veracity. These 4V\'s appropriately speaks to the genuine way of Big Data. Each \"V\"
has a noteworthy part to play in the presence of Big Data. On the off chance that consolidated,
these 4V paints a wonderful clarification of Big Data which can be comprehended as \" Big Data
as an idea alludes to high speed gathering of information in expansive volumes which radia.
Unlocking the Value of Big Data (Innovation Summit 2014)Dun & Bradstreet
Big Data is central to the strategic thinking of today’s innovators and business executives as companies are scrambling to figure out the secret to transforming Big Data to Big Insight and that Insight into Action. As many companies struggle with the emerging technologies and nascent capabilities to discover and curate massive quantities of highly dynamic data, new problems are emerging in the form of how to ask meaningful questions that leverage the “V’s” of large amounts of data (e.g. volume, variety, velocity, veracity). In the Business-to-Business space, these challenges are creating both significant opportunity and ominous new types of risk. This presentation discusses how companies are reacting to these changes and provide valuable insight into new ways of thinking in a world with overwhelming quantities of data.
[NOTE: To learn more and watch a recording of this webinar, visit: https://www.watershedlrs.com/webinar-how-to-build-a-learning-tech-stack]
If you want to build and scale your learning programs for the future, you must start with a solid technology foundation. It's easy to get excited about the desired end product, and gloss over the most important details—the blueprint. To help you plan for a good program foundation, Watershed and Training Orchestra cover the needs of a good program blueprint.
How to Measure & Analyze L&D Impact - Learning’s Big Data Problem, Part 3Watershed
[NOTE: this webinar was delivered primarily through live demonstration, to view the recording, go here: https://www.watershedlrs.com/learnings-big-data-problem-part-3]
“You've told me why learning analytics is important. Now, show me how I can use them.”
You’re in luck. In part three of this “Learning’s Big Data Problem” webinar series, we’ll use live demonstrations to explore real-world examples covering common learning evaluation methods and how they apply to the complexities and categories of learning analytics. Before diving into each of the live examples, we’ll briefly recap these conceptual models for anyone who wasn’t able to attend either of the previous webinars.
No more playing pretend.
The live environment will be a combination of reports and measures from real organizations that have been scrubbed to ensure confidentiality. This isn’t a demonstration of what may be possible one day—it’s a crash course in what can be accomplished even with the most basic data sets.
Key Takeaways:
How different types of organizations are getting started with learning analytics
The kinds of reporting that’s possible with data typically available in an organization
The types of data you can gather from a selection of common learning technology products
Learning's Big Data Problem: Measuring & Analyzing Impact Part 2Watershed
A recent study by Brandon Hall Group found nearly 80% of L&D departments have little to no direct impact on improving skills or affecting business performance. So how's the other 20% able to do it? With planning, measurement, and the right technology.
Learning's Big Data Problem: Measuring & Analyzing ImpactWatershed
The wave of information known as Big Data has been growing exponentially in recent years. That's why it's critical for organizations to not only get better at collecting more meaningful data, but also understanding just what it all means.
Join us for a webinar next week, when we'll we review the results of Brandon Hall Group’s 2016 Learning Measurement Study and 2016 Learning Analytics Study, identify what organizations are measuring (and what they aren’t), and how they're making use of that data.
Presenters:
David Wentworth, Principal Learning Analyst with Brandon Hall Group
Michael Rochelle, Chief Strategy Officer & Principal HCM Analyst with Brandon Hall Group
Mike Rustici, CEO & Founder of Watershed
During this webinar, you'll learn more about:
-The metrics organizations are using
-The outcomes organizations are measuring
-How data is being analyzed
-Data analysis as a skill set
-How High Performers approach measurement & analytics
You’ve found the perfect technology solution that meets all of your L&D analytics needs, but there’s one looming challenge—gaining executive approval.
We’ve all been there.
However, it’s easier than you might think. Hear firsthand from someone who’s been there and made it happen. In this webinar, Andy Webb, director of training at Applied Industrial Technologies, shares his experience and helps you:
• Understand leadership’s needs and motivations.
• Recognize financial metrics and KPIs to frame your learning program in a language leadership understands.
• Better engage leadership throughout your LRS or L&D initiative.
Enhancing Code Blue Performance with xAPIWatershed
Providing care to more than 500,000 patients each year, MedStar Health is the largest healthcare provider in the Washington, D.C./Maryland region. As an organization, they’re committed to providing the best care during emergency situations in which patients are in cardiopulmonary arrest (referred to as “Code Blues”).
During a Code Blue, the stakes are literally life and death—which is why it’s vital that MedStar resuscitation team members are well trained. Speed is vital in the seconds and minutes that follow a Code Blue, including the amounts of time for performing chest compressions and defibrillation and administering medications to a patient.
As a result, MedStar’s Code Blue training and learning resources have focused on improving clinician performance to reduce these times. However, MedStar didn’t have extensive information on the effectiveness of various training programs and learning resources.
Using Watershed and xAPI to aggregate and visualize data from multiple data sources, MedStar is now able to answer a range of questions about the usage and effectiveness of their training systems. They also have a better understanding of where they need to target their attention to improve performance. In particular, they can test the “chain of cause and effect” from training to simulations to final results.
Understanding User Needs and Satisfying ThemAggregage
https://www.productmanagementtoday.com/frs/26903918/understanding-user-needs-and-satisfying-them
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
In this webinar, we won't focus on the research methods for discovering user-needs. We will focus on synthesis of the needs we discover, communication and alignment tools, and how we operationalize addressing those needs.
Industry expert Scott Sehlhorst will:
• Introduce a taxonomy for user goals with real world examples
• Present the Onion Diagram, a tool for contextualizing task-level goals
• Illustrate how customer journey maps capture activity-level and task-level goals
• Demonstrate the best approach to selection and prioritization of user-goals to address
• Highlight the crucial benchmarks, observable changes, in ensuring fulfillment of customer needs
At Techbox Square, in Singapore, we're not just creative web designers and developers, we're the driving force behind your brand identity. Contact us today.
Taurus Zodiac Sign: Unveiling the Traits, Dates, and Horoscope Insights of th...my Pandit
Dive into the steadfast world of the Taurus Zodiac Sign. Discover the grounded, stable, and logical nature of Taurus individuals, and explore their key personality traits, important dates, and horoscope insights. Learn how the determination and patience of the Taurus sign make them the rock-steady achievers and anchors of the zodiac.
[To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
This PowerPoint compilation offers a comprehensive overview of 20 leading innovation management frameworks and methodologies, selected for their broad applicability across various industries and organizational contexts. These frameworks are valuable resources for a wide range of users, including business professionals, educators, and consultants.
Each framework is presented with visually engaging diagrams and templates, ensuring the content is both informative and appealing. While this compilation is thorough, please note that the slides are intended as supplementary resources and may not be sufficient for standalone instructional purposes.
This compilation is ideal for anyone looking to enhance their understanding of innovation management and drive meaningful change within their organization. Whether you aim to improve product development processes, enhance customer experiences, or drive digital transformation, these frameworks offer valuable insights and tools to help you achieve your goals.
INCLUDED FRAMEWORKS/MODELS:
1. Stanford’s Design Thinking
2. IDEO’s Human-Centered Design
3. Strategyzer’s Business Model Innovation
4. Lean Startup Methodology
5. Agile Innovation Framework
6. Doblin’s Ten Types of Innovation
7. McKinsey’s Three Horizons of Growth
8. Customer Journey Map
9. Christensen’s Disruptive Innovation Theory
10. Blue Ocean Strategy
11. Strategyn’s Jobs-To-Be-Done (JTBD) Framework with Job Map
12. Design Sprint Framework
13. The Double Diamond
14. Lean Six Sigma DMAIC
15. TRIZ Problem-Solving Framework
16. Edward de Bono’s Six Thinking Hats
17. Stage-Gate Model
18. Toyota’s Six Steps of Kaizen
19. Microsoft’s Digital Transformation Framework
20. Design for Six Sigma (DFSS)
To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations
Unveiling the Dynamic Personalities, Key Dates, and Horoscope Insights: Gemin...my Pandit
Explore the fascinating world of the Gemini Zodiac Sign. Discover the unique personality traits, key dates, and horoscope insights of Gemini individuals. Learn how their sociable, communicative nature and boundless curiosity make them the dynamic explorers of the zodiac. Dive into the duality of the Gemini sign and understand their intellectual and adventurous spirit.
Part 2 Deep Dive: Navigating the 2024 Slowdownjeffkluth1
Introduction
The global retail industry has weathered numerous storms, with the financial crisis of 2008 serving as a poignant reminder of the sector's resilience and adaptability. However, as we navigate the complex landscape of 2024, retailers face a unique set of challenges that demand innovative strategies and a fundamental shift in mindset. This white paper contrasts the impact of the 2008 recession on the retail sector with the current headwinds retailers are grappling with, while offering a comprehensive roadmap for success in this new paradigm.
How are Lilac French Bulldogs Beauty Charming the World and Capturing Hearts....Lacey Max
“After being the most listed dog breed in the United States for 31
years in a row, the Labrador Retriever has dropped to second place
in the American Kennel Club's annual survey of the country's most
popular canines. The French Bulldog is the new top dog in the
United States as of 2022. The stylish puppy has ascended the
rankings in rapid time despite having health concerns and limited
color choices.”
Storytelling is an incredibly valuable tool to share data and information. To get the most impact from stories there are a number of key ingredients. These are based on science and human nature. Using these elements in a story you can deliver information impactfully, ensure action and drive change.
Zodiac Signs and Food Preferences_ What Your Sign Says About Your Tastemy Pandit
Know what your zodiac sign says about your taste in food! Explore how the 12 zodiac signs influence your culinary preferences with insights from MyPandit. Dive into astrology and flavors!
Top mailing list providers in the USA.pptxJeremyPeirce1
Discover the top mailing list providers in the USA, offering targeted lists, segmentation, and analytics to optimize your marketing campaigns and drive engagement.
Anny Serafina Love - Letter of Recommendation by Kellen Harkins, MS.AnnySerafinaLove
This letter, written by Kellen Harkins, Course Director at Full Sail University, commends Anny Love's exemplary performance in the Video Sharing Platforms class. It highlights her dedication, willingness to challenge herself, and exceptional skills in production, editing, and marketing across various video platforms like YouTube, TikTok, and Instagram.
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Best practices for project execution and deliveryCLIVE MINCHIN
A select set of project management best practices to keep your project on-track, on-cost and aligned to scope. Many firms have don't have the necessary skills, diligence, methods and oversight of their projects; this leads to slippage, higher costs and longer timeframes. Often firms have a history of projects that simply failed to move the needle. These best practices will help your firm avoid these pitfalls but they require fortitude to apply.
B2B payments are rapidly changing. Find out the 5 key questions you need to be asking yourself to be sure you are mastering B2B payments today. Learn more at www.BlueSnap.com.
The 10 Most Influential Leaders Guiding Corporate Evolution, 2024.pdfthesiliconleaders
In the recent edition, The 10 Most Influential Leaders Guiding Corporate Evolution, 2024, The Silicon Leaders magazine gladly features Dejan Štancer, President of the Global Chamber of Business Leaders (GCBL), along with other leaders.
IMPACT Silver is a pure silver zinc producer with over $260 million in revenue since 2008 and a large 100% owned 210km Mexico land package - 2024 catalysts includes new 14% grade zinc Plomosas mine and 20,000m of fully funded exploration drilling.
3. make a
big impact
page
03
“L&D is responsible for improving our most
important asset, our people. If we can improve
L&D, we can improve the world.”
me, I said that
5. today.
Today we have a long road
ahead of us.
Data from Brandon Hall
confirms results of the LEO,
Watershed, iVentiv survey.
http://www.brandonhall.com/blogs/measurement-and-analytics-magic/
7. understanding learning
analytics: levels
page
07
measuremen
t
The simple act of tracking
things and recording
values. Can be passively
or actively collected.
evaluation
The process of trying to
make meaning from the
data we’ve measured.
Descriptive analytics.
Does the data mean
something good or bad?
advanced
evaluation
When data sets get large
enough, use advanced
evaluation techniques to
discover powerful
insights. Data mining, AI,
machine learning, etc.
predictive &
prescriptive
Make predictions and
decisions based on data
and advanced algorithms.
Recommendations
engines are the best
example in learning.
8. understanding learning
analytics:
categories
page
08
Understand more about a
specific learning activity.
Maximize effectiveness and
spot problems.
learning
experience Understand a learner or group of
learners. Ensure organizational
readiness and compliance.
learner
Understand an overall learning
program. Is this initiative helping
to meet our organization’s
business objectives?
learning program
11. example #1
analyze informal learning
page
011
What they learned:
• How do people choose to learn?
• Search:
• What are people searching for?
• What are they not finding?
• What resources are most popular?
• What resources are not being used (scrap learning)?
12. example #2
monitor cross-platform training
page
012
What they accomplished:
• Deliver compliance training across devices (e.g.,
mobile, desktop)
• Tracked without using an LMS (i.e., learners could
access from anywhere)
• Detailed understanding of how learners were using the
content
• Spotting troublesome areas and fixed problems before
too many users were affected
14. Customer Service Training
• Track activity across LMS
and support/ticketing
platform.
• Monitor customer satisfation.
• Identify how KPI trends
are impacted by other
activity.
15. xAPI &
learning analytics platform
page
015
all data
Learning is so much bigger than the
LMS. Track informal and experiential
activities.
xAPI and the LRS present a transformative
technology for learning analytics. Seamlessly
bring all your data together in one platform and
perform real-time analytics tailor made for L&D.
business
impact
Include data about behaviors and
performance in your learning analytics
real-time
Create, view, and distribute reports
seamlessly in real-time.
17. getting started
yes you can!
page
017
01
Gather your data
Just start collecting data in a common
format in a central location. Make it low
friction and ensure you have access.
04
Explore your data
Starting to understand not just what is
happening, but why. Form questions and
see if your data answers them. Often, the
best answers lead to other questions. Can
you see impacts on the larger business?
02
Get to know your data
Understand what you have. What’s out
there, what’s reliable, and what’s missing?
Do some simple evaluations and create
baselines.
05
Experiment with your data
Start a new learning program with analytics
in mind. Set up well-controlled experiments
and A/B tests to validate a hypothesis.
Create a culture of continuous
improvement.
03
Operationalize your data
Automate your way out of “Excel hell.”
Define some interesting metrics and KPIs,
and start monitoring them routinely. What
trends do you notice?
06
Show off your data
We’ve long known that learning is vital,
not we can prove it. Go forth and show the
world!
Scalable learning is the new reason for large organizations to exist
It’s no longer about assets, organization or efficiency
We’re moving from Return on Assets to Return on Talent
This is the most strategic thing or organization can be doing
Scalable learning is the strategic differentiator in the 21st century
There are so many things required to achieve scalable learning
We’re not just talking about dissemination of information we know, but also about the acquisition and discovery to new knowledge in a scalable way
How do we get there.
To achieve scale, we need measurement, we need a culture of constant improvement and we need alignment with business objectives
Because this isn’t just about scaling learning, it’s about scaling an organization’s ability to adopt to the exponential rate of change the digital economy is creating
To achieve scale, we need analytics, we need data
This is important and impactful stuff.
We live in an increasingly knowledge based economy where talent is our most precious asset
How the heck do we let the group that is responsible for improving the value of that asset, for improving the performance of our people, how the heck do we let them get by without a culture of constant improvement? Without a responsibility to use data to ensure they are impacting business processes and metrics in a positive way?
When we asked the question, the answer was consistently that it is too hard.
Well that is changing and I’m excited about the impact that can have, not just on our industry, but on the world.
If we can make corporate L&D just 10% more efficient, if we can get just 10% better at improving our workforce, is is reasonable to assume that we could make our workforce 1% more efficient at their jobs? A 1% improvement in productivity across the workforce is a really big deal.
It’s learning’s turn to take a seat at the table
To do so, we need to think strategically, we need to think in the same terms the business thinks in and align our strategy and outcomes to the strategy and outcomes of the business - often performance
We have a long way to go, but we can look to marketing for a perfect example of how to make this transition.
It was all driven by data.
Spiral or go from inner to outer level in one dimension
(Visa example)
From a client using Sharepoint
Learning experience analytics
Basic evaluation (with some text processing goodness thrown in)
Give Thursday example
(AT&T example)
Where do people bail / get stuck - is this point problematic?
Watching people cheating, etc
See actual experience of user – help debug
How long, which pages spend most time on, which questions consistently getting wrong.
Learning experience analytics
And
Learner analytics
Still just basic evaluation
Give bad button example
Learning program evaluation
Learning program evaluation – advanced analytics / prescriptive analytics
It’s all about removing friction
Removing just a little bit of friction has a big impact
Apple design methodology
Kirkpatrick model has been around since 1954, but how much of it are we using.
Remember, when we asked people why they aren’t doing more learning analytics, one of the chief responses was “it’s too hard”
That is changing, the friction is disappearing and that will have a profound impact.