The document discusses learning analytics and why they are important for educational institutions. It begins by defining analytics and explaining why they are useful for optimizing online experiences by analyzing user data and behavior. It then discusses how educational institutions can apply analytics to improve retention by mining data from sources like learning management systems and course surveys. Finally, it provides tips for implementing analytics, noting that analytics can help improve learning outcomes but institutions need to have the right skills and use data responsibly to ensure it benefits students.
Data Driven Culture with Slalom's Director of AnalyticsPromotable
Everyone wants to capture the benefits of big data by making better data driven decision. We are inundated by analytical tools that deliver "insights" and process information quickly.
Although often overlooked, creating a data driven culture is as important as finding the right tools to make data driven decisions. Organizations who skip this foundational element often find their investment in Data tools and personal don't yield the benefits that becoming Data Driven is supposed to unlock.
In this talk you'll learn about why creating a Data Driven culture is vital to every organization and the starting point for ensuring your data strategy generates strong impact and ROI.
Takeaways:
What is a data driven culture? Where does it start?
What happens when you implement tools (tableau, power BI, Machine Learning, etc) without first having a data driven culture
Stages of a Data Driven Culture?
How to get started?
Your Instructor: Kevin Chapin is the Practice Director for Data and Analytics at Slalom Consulting.
To see the full talk, click here: https://www.youtube.com/watch?v=7xNLgiK31Is
How CIOs are thinking about big data and the major opportunities, challenges and threats they face in managing the analytics unstructured information. Based on a survey of Canadian IT leaders
Creating a Data-Driven Organization, Crunchconf, October 2015Carl 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.
Data is becoming an engine for many businesses in the information age, and every company needs to consider look at how that feels in their business model.
This an introductory guest lecture for students at Stockholm School of Entrepreneurship.
Baking analytics into the culture of an organization is not always the easiest thing because it doesn't come intuitively to humans. This presentation was given at Kumpul co-working space in Sanur, Bali and it involves a sharing of my team's experience in building a data-driven culture at TradeGecko.
Data Driven Culture with Slalom's Director of AnalyticsPromotable
Everyone wants to capture the benefits of big data by making better data driven decision. We are inundated by analytical tools that deliver "insights" and process information quickly.
Although often overlooked, creating a data driven culture is as important as finding the right tools to make data driven decisions. Organizations who skip this foundational element often find their investment in Data tools and personal don't yield the benefits that becoming Data Driven is supposed to unlock.
In this talk you'll learn about why creating a Data Driven culture is vital to every organization and the starting point for ensuring your data strategy generates strong impact and ROI.
Takeaways:
What is a data driven culture? Where does it start?
What happens when you implement tools (tableau, power BI, Machine Learning, etc) without first having a data driven culture
Stages of a Data Driven Culture?
How to get started?
Your Instructor: Kevin Chapin is the Practice Director for Data and Analytics at Slalom Consulting.
To see the full talk, click here: https://www.youtube.com/watch?v=7xNLgiK31Is
How CIOs are thinking about big data and the major opportunities, challenges and threats they face in managing the analytics unstructured information. Based on a survey of Canadian IT leaders
Creating a Data-Driven Organization, Crunchconf, October 2015Carl 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.
Data is becoming an engine for many businesses in the information age, and every company needs to consider look at how that feels in their business model.
This an introductory guest lecture for students at Stockholm School of Entrepreneurship.
Baking analytics into the culture of an organization is not always the easiest thing because it doesn't come intuitively to humans. This presentation was given at Kumpul co-working space in Sanur, Bali and it involves a sharing of my team's experience in building a data-driven culture at TradeGecko.
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.
Why Sales and Marketing Specialists will become Big Data ScientistsCindyGordon
Dr. Cindy Gordon's presentation on Big Data and Predictive Analytics at the Sales & Marketing Middle East Conference May19-20 Abu Dhabi. Dr Gordon's presentation "Why Sales and Marketing Specialists will become Big Data Scientists" highlights the trends and skills needed in this era of accelerating volumes of data, along with predictive and prescriptive analytics that will help make sense of it all
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.
Dashboards are Dumb Data - Why Smart Analytics Will Kill Your KPIsLuciano Pesci, PhD
Organizations of every size have access to data dashboard technology, yet none of the solutions have delivered on their hype and right now across the world executives and analysts are staring at a dashboard and thinking the same thing, ""so what?""
The failure of dashboards to deliver meaningful insights is inherent in their simplicity: they only show surface level information, and not the relationships between data points that really drive the fate of your organization.
But all is not lost! By combining the right mix of technology and human expertise in business strategy, research and data mining you can embrace the smart analytics movement, and start accessing insights that grow your company and your competitive position.
You can watch the accompanying webinar here: https://youtu.be/RdOcPxv9wLs
A look at the evolution of analytics and its revolutionary potential to transform ordinary businesses, power new business models, enable innovation, and deliver greater value. http://www2.deloitte.com/us/en/pages/deloitte-analytics/articles/analytics-trends.html
How to Ruin your Business with Data Science & Machine Learning by Ingo MierswaData Con LA
Abstract:- Everyone talks about how machine learning will transform business forever and generate massive outcomes. However, it's surprisingly simple to draw completely wrong conclusions from statistical models, and correlation does not imply causation is just the tip of the iceberg. The trend of the democratization of data science further increases the risk for applying models in a wrong way. This session will discuss. How highly-correlated features can overshadow the patterns your machine learning model is supposed to find this leads to models which will perform worse in production than during model building. How incorrect cross-validation lead to over-optimistic estimations of your model accuracy, especially we will discuss the impact of data preprocessing on the accuracy of machine learning models. How feature engineering can lift simple models like linear regression to the accuracy of deep learning but comes with the advantages of understandability & robustness.
Many data professionals struggle with the ability to demonstrate tangible returns on data management investments. In a webinar that is designed to appeal to both business and IT attendees, your presenter will describe multiple types of value produced through data-centric development and management practices. One of our examples, the healthcare space, offers the unique opportunity to demonstrate additional types of return on investment or value outcomes, namely returns in the form of lives saved through increased rates of Bone Marrow Donor matches. In addition to metrics around increasing revenues or decreasing costs, i.e. investments that directly impact an organization’s financial position, these additional statistics of lives saved can be used to justify data management and quality initiatives.
The Chief Data Officer's Agenda: The Power of Data StrategyDATAVERSITY
Succeeding with your Data Strategy demands a balance between innovation, opportunity, complexity and agility. It requires due attention to internal governance and risk management, as well as externalities of rapid technological change and business opportunity. This was the theme of discussions at the CDO Vision Conference in Austin on April 29-30. Our panelists all took part in that event, and will bring the highlights and insights from CDO Vision to today’s webinar discussion.
Topics include:
Organization and structure for strategic success with data
Role of the Chief Data Officer
Information valuation and asset management
Enhancing the customer experience
Governance and quality
New data development methods
Big data strategy and architecture
How to use your data science team: Becoming a data-driven organizationYael Garten
Talk given at Strata Hadoop World conference March 2016.
http://conferences.oreilly.com/strata/hadoop-big-data-ca/public/schedule/detail/48305
In this talk we review the culture, process and tools needed for a data driven organization. We review an example of how companies like LinkedIn use data to make business decisions, and then walk through the culture, process, and tools needed to foster this. We review the spectrum of data science used within an organization and explore organizational needs, such as the democratization of data via self-serve data platforms for experimentation, monitoring, and data exploration, as well as the challenges that come with such systems. Participants leave this session with the ability to identify opportunities for data scientists to contribute within their organization and with an understanding of what investments are needed to drive transformation into a data-driven organization.
Data is the lifeblood of just about every organization and functional area today. As businesses struggle to come to grips with the data flood, it is even more critical to focus on data as an asset that directly supports business imperatives as other organizational assets do. Organizations across most industries attempt to address data opportunities (e.g. Big Data) and data challenges (e.g. data quality) to enhance business unit performance. Unfortunately however, the results of these efforts frequently fall far below expectations due to haphazard approaches. Overall, poor organizational data management capabilities are the root cause of many of these failures. This webinar covers three lessons (illustrated by examples), which will help you to establish realistic OM plans and expectations, and help demonstrate the value of such actions to both internal and external decision makers.
Takeaways:
Organizational thinking must change: Value-added data management practices must be considered and included as a vital part of your business strategy.
Walk before you run with data focused initiatives: Understand and implement necessary data management prerequisites as a foundation, then build upon that foundation.
There are no silver bullets: Tools alone are not the answer. Specifying business requirements, business practices and data governance are almost always more important.
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.
Why Sales and Marketing Specialists will become Big Data ScientistsCindyGordon
Dr. Cindy Gordon's presentation on Big Data and Predictive Analytics at the Sales & Marketing Middle East Conference May19-20 Abu Dhabi. Dr Gordon's presentation "Why Sales and Marketing Specialists will become Big Data Scientists" highlights the trends and skills needed in this era of accelerating volumes of data, along with predictive and prescriptive analytics that will help make sense of it all
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.
Dashboards are Dumb Data - Why Smart Analytics Will Kill Your KPIsLuciano Pesci, PhD
Organizations of every size have access to data dashboard technology, yet none of the solutions have delivered on their hype and right now across the world executives and analysts are staring at a dashboard and thinking the same thing, ""so what?""
The failure of dashboards to deliver meaningful insights is inherent in their simplicity: they only show surface level information, and not the relationships between data points that really drive the fate of your organization.
But all is not lost! By combining the right mix of technology and human expertise in business strategy, research and data mining you can embrace the smart analytics movement, and start accessing insights that grow your company and your competitive position.
You can watch the accompanying webinar here: https://youtu.be/RdOcPxv9wLs
A look at the evolution of analytics and its revolutionary potential to transform ordinary businesses, power new business models, enable innovation, and deliver greater value. http://www2.deloitte.com/us/en/pages/deloitte-analytics/articles/analytics-trends.html
How to Ruin your Business with Data Science & Machine Learning by Ingo MierswaData Con LA
Abstract:- Everyone talks about how machine learning will transform business forever and generate massive outcomes. However, it's surprisingly simple to draw completely wrong conclusions from statistical models, and correlation does not imply causation is just the tip of the iceberg. The trend of the democratization of data science further increases the risk for applying models in a wrong way. This session will discuss. How highly-correlated features can overshadow the patterns your machine learning model is supposed to find this leads to models which will perform worse in production than during model building. How incorrect cross-validation lead to over-optimistic estimations of your model accuracy, especially we will discuss the impact of data preprocessing on the accuracy of machine learning models. How feature engineering can lift simple models like linear regression to the accuracy of deep learning but comes with the advantages of understandability & robustness.
Many data professionals struggle with the ability to demonstrate tangible returns on data management investments. In a webinar that is designed to appeal to both business and IT attendees, your presenter will describe multiple types of value produced through data-centric development and management practices. One of our examples, the healthcare space, offers the unique opportunity to demonstrate additional types of return on investment or value outcomes, namely returns in the form of lives saved through increased rates of Bone Marrow Donor matches. In addition to metrics around increasing revenues or decreasing costs, i.e. investments that directly impact an organization’s financial position, these additional statistics of lives saved can be used to justify data management and quality initiatives.
The Chief Data Officer's Agenda: The Power of Data StrategyDATAVERSITY
Succeeding with your Data Strategy demands a balance between innovation, opportunity, complexity and agility. It requires due attention to internal governance and risk management, as well as externalities of rapid technological change and business opportunity. This was the theme of discussions at the CDO Vision Conference in Austin on April 29-30. Our panelists all took part in that event, and will bring the highlights and insights from CDO Vision to today’s webinar discussion.
Topics include:
Organization and structure for strategic success with data
Role of the Chief Data Officer
Information valuation and asset management
Enhancing the customer experience
Governance and quality
New data development methods
Big data strategy and architecture
How to use your data science team: Becoming a data-driven organizationYael Garten
Talk given at Strata Hadoop World conference March 2016.
http://conferences.oreilly.com/strata/hadoop-big-data-ca/public/schedule/detail/48305
In this talk we review the culture, process and tools needed for a data driven organization. We review an example of how companies like LinkedIn use data to make business decisions, and then walk through the culture, process, and tools needed to foster this. We review the spectrum of data science used within an organization and explore organizational needs, such as the democratization of data via self-serve data platforms for experimentation, monitoring, and data exploration, as well as the challenges that come with such systems. Participants leave this session with the ability to identify opportunities for data scientists to contribute within their organization and with an understanding of what investments are needed to drive transformation into a data-driven organization.
Data is the lifeblood of just about every organization and functional area today. As businesses struggle to come to grips with the data flood, it is even more critical to focus on data as an asset that directly supports business imperatives as other organizational assets do. Organizations across most industries attempt to address data opportunities (e.g. Big Data) and data challenges (e.g. data quality) to enhance business unit performance. Unfortunately however, the results of these efforts frequently fall far below expectations due to haphazard approaches. Overall, poor organizational data management capabilities are the root cause of many of these failures. This webinar covers three lessons (illustrated by examples), which will help you to establish realistic OM plans and expectations, and help demonstrate the value of such actions to both internal and external decision makers.
Takeaways:
Organizational thinking must change: Value-added data management practices must be considered and included as a vital part of your business strategy.
Walk before you run with data focused initiatives: Understand and implement necessary data management prerequisites as a foundation, then build upon that foundation.
There are no silver bullets: Tools alone are not the answer. Specifying business requirements, business practices and data governance are almost always more important.
From badges to breakthroughs.final.revEllen Wagner
From Badges to Breakthrough. An EDUCAUSE featured session. Ellen Wagner, Fred Hurst, Karen J Solomon, Deb Everhart. October 17, 2013. MOOCs, personalized learning, direct assessment, badges.
Data-Ed Webinar: Data Governance StrategiesDATAVERSITY
The data governance function exercises authority and control over the management of your mission critical assets and guides how all other data management functions are performed. When selling data governance to organizational management, it is useful to concentrate on the specifics that motivate the initiative. This means developing a specific vocabulary and set of narratives to facilitate understanding of your organizational business concepts. This webinar provides you with an understanding of what data governance functions are required and how they fit with other data management disciplines. Understanding these aspects is a necessary pre-requisite to eliminate the ambiguity that often surrounds initial discussions and implement effective data governance and stewardship programs that manage data in support of organizational strategy.
Takeaways:
Understanding why data governance can be tricky for most organizations
Steps for improving data governance within your organization
Guiding principles & lessons learned
Understanding foundational data governance concepts based on the DAMA DMBOK
The data governance function exercises authority and control over the management of your mission critical assets and guides how all other data management functions are performed. When selling data governance to organizational management, it is useful to concentrate on the specifics that motivate the initiative. This means developing a specific vocabulary and set of narratives to facilitate understanding of your organizational business concepts. This webinar provides you with an understanding of what data governance functions are required and how they fit with other data management disciplines. Understanding these aspects is a necessary pre-requisite to eliminate the ambiguity that often surrounds initial discussions and implement effective data governance and stewardship programs that manage data in support of organizational strategy.
Check out more webinars here: http://www.datablueprint.com/resource-center/webinar-schedule/
Data Analytics Ethics Issues and Questions
Presented at the University of Chicago Booth Big Data & Analytics Roundtable, April 2018
Presenter:
Arnie Aronoff, Ph.D.
Instructor, MScA in Data Analytics
Instructor, School of Social Services Administration
The University of Chicago
Group Concept OD
Organizational Development and Training
(312) 259-4544
aaronoff33@gmail.com
Presented by
The big-data explosion is driving a shift away from gut-based decision making. Marketing, in particular, is feeling the pressure to embrace new data-driven customer intelligence capabilities.
Marketers working 70-80 hours a week is not a great thing to hear.
But the requirement for them to have such a large amount of work time causes problems in the data selection and filtering.
Hence many marketers flunk the big data test
This presentation is prepared by one of our renowned tutor "Suraj"
If you are interested to learn more about Big Data, Hadoop, data Science then join our free Introduction class on 14 Jan at 11 AM GMT. To register your interest email us at info@uplatz.com
1. Making Learning Analytics Matter in
the Educational Enterprise
Ellen Wagner
Partner and Sr. Analyst , Sage Road Solutions, LLC
Executive Director, WICHE Cooperative for
Educational Technologies (WCET)
Sage Road Solutions LLC 1
2. Are You in the Right Place?
• You have been hearing a lot about “analytics” lately and are
wondering what the buzz is all about
• You are worried that “analytics” is a code word for “statistics”
• You just want someone to explain what analytics are, why
they matter and what you need to know
3. What I will be covering in today’s session
• What analytics are and why they are taking the world by storm
• Tips for navigating the analytics ecosystem
• Why learning analytics are particularly interesting
• Things to keep in mind about making learning analytics matter
in your educational enterprise
5. Data Are Optimizing Online Experience
The digital “breadcrumbs” that online technology
users leave behind about viewing, engagement and
behaviors, interests and preferences provide massive
amounts of information that can be mined to better
optimize online experiences.
Sage Road Solutions LLC 5
6. DATA IN DAILY LIFE:
LOTS OF DATA, ALL THE TIME
Sage Road Solutions LLC 6
7. Major Trends at Play
• Data Warehouses and “the Cloud” make it possible to collect,
manage and maintain massive numbers of records.
• Sophisticated technology platforms provide computing power
necessary to grind through calculations and turn the mass of
numbers into meaningful patterns.
• Data mining uses descriptive and inferential statistics —
moving averages, correlations, regressions, graph analysis,
market basket analysis, and tokenization – to look inside
patterns for actionable information.
• Predictive techniques, such as neural networks and decision
trees, help anticipate behavior and events.
Sage Road Solutions LLC 7
8. Gartner Pattern Based Strategy, 2010:
From reacting to events that had major effects on business
strategy to proactively seeking patterns that might indicate an
impending event.
The interest in Pattern-Based Strategy is likely to grow as we
understand the technologies that are emerging to seek patterns
– from both traditional (financial information, customer order data,
inventory, etc.)
– nontraditional sources of information (social media, news, blogs).
Gartner Research, Inc. 3 August 2010
ID Number: G00205744. p.4
9. Emergence of Business Intelligence
• Research typically reports empirical evidence to prove the
tenability of ideas concepts and constructs.
• Business Intelligence uses analytical techniques to mine data
to make decisions and create action plans.
• Techniques for analyses include many of the same tools, but
the focus on structuring the research question is very
different.
11. Learning Organizations and Data Analytics
• Analytics have ramped up everyone’s expectations for
accountability, transparency and quality.
• Learning and development organizations simply cannot live
outside the enterprise focus on measurable, tangible results
driving IT, operations, finance and other mission critical
applications.
Sage Road Solutions LLC 11
12. The Case for Analytics in Learning
• The learning world is starting to discover what Internet
marketers have known for years.
• The digital “breadcrumbs” that learners leave behind about
their engagement behaviors and interests provide massive
amounts of data that can be mined to improve and
personalize educational experiences
• This is making learning pros very, very nervous
Sage Road Solutions LLC 12
13. Will Data REALLY Optimize
Educational Experience?
RETENTION
Sage Road Solutions LLC 13
14. Where to Begin?
• Uncertainty about where to start
– No established industry best practice about what to measure
– No established industry best practice around methodology
• Organizational Culture, Learning Culture and Status Quo
– Enterprise concern about what the data will show
– Competing priorities and lack of incentive for collaboration between
different groups
• Siloed data across the enterprise sure doesn’t help.
16. Where Learning Data Typically Live
ERPs and SISs
Demographics, financials, operations
Macro level transactions
Learning Management System (LMS)
Learning transactions
Learning outcomes
Latent data
End of Course Survey
Perceptual data
17. “The LMS Problem”
LMSs have messy data bases
The primary function was not data collection per
se, but learning (artifact) management and
tracking
Years of additions have created the equivalent of
a bowl of “data spaghetti”
Good analytical solutions will pay attention to
how data is extracted
29. (9) We have just started to
understand the true power
that analytics bring to the
learning enterprise.
30. THANKS for your interest
Ellen Wagner
edwsonoma@gmail.com
http://wcet.wiche.edu
(9) We haven't even begun to scratch the
www.sageroadsolutions.com
surface of the possibilities.
http://twitter.com/edwsonoma
+1.415.613.2690 mobile