Data Skills 10M, are you in? Join this session to learn all about closing the data literacy gap for you to share with your user group members. #PledgeForData
Introduction to Marketing - High level cycles and processesDr. Shane Snipes
Introduction slides for week one of summer course from BMCC. We discuss the cycles and processes of marketing at a global level. There is a flow to marketing which people working in the field need to understand before they start learning specifics. Chapters 1-3 are covered in this high level overview set of slides.
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.
DAS Slides: Data Quality Best PracticesDATAVERSITY
Tackling Data Quality problems requires more than a series of tactical, one-off improvement projects. By their nature, many Data Quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process, and technology. Join Nigel Turner and Donna Burbank as they provide practical ways to control Data Quality issues in your organization.
Presented on May 7, 2015 by Amanda Makulec from JSI's Center for Health Information, Monitoring, and Evaluation 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 Modeling, Data Governance, & Data QualityDATAVERSITY
Data Governance is often referred to as the people, processes, and policies around data and information, and these aspects are critical to the success of any data governance implementation. But just as critical is the technical infrastructure that supports the diverse data environments that run the business. Data models can be the critical link between business definitions and rules and the technical data systems that support them. Without the valuable metadata these models provide, data governance often lacks the “teeth” to be applied in operational and reporting systems.
Join Donna Burbank and her guest, Nigel Turner, as they discuss how data models & metadata-driven data governance can be applied in your organization in order to achieve improved data quality.
The presentation was given to Accounting and IT students at Performance Education in Adelaide South Australia to give an introduction about how to get into data analytics market.
Introduction to Marketing - High level cycles and processesDr. Shane Snipes
Introduction slides for week one of summer course from BMCC. We discuss the cycles and processes of marketing at a global level. There is a flow to marketing which people working in the field need to understand before they start learning specifics. Chapters 1-3 are covered in this high level overview set of slides.
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.
DAS Slides: Data Quality Best PracticesDATAVERSITY
Tackling Data Quality problems requires more than a series of tactical, one-off improvement projects. By their nature, many Data Quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process, and technology. Join Nigel Turner and Donna Burbank as they provide practical ways to control Data Quality issues in your organization.
Presented on May 7, 2015 by Amanda Makulec from JSI's Center for Health Information, Monitoring, and Evaluation 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 Modeling, Data Governance, & Data QualityDATAVERSITY
Data Governance is often referred to as the people, processes, and policies around data and information, and these aspects are critical to the success of any data governance implementation. But just as critical is the technical infrastructure that supports the diverse data environments that run the business. Data models can be the critical link between business definitions and rules and the technical data systems that support them. Without the valuable metadata these models provide, data governance often lacks the “teeth” to be applied in operational and reporting systems.
Join Donna Burbank and her guest, Nigel Turner, as they discuss how data models & metadata-driven data governance can be applied in your organization in order to achieve improved data quality.
The presentation was given to Accounting and IT students at Performance Education in Adelaide South Australia to give an introduction about how to get into data analytics market.
Top recruiters tend to think differently, act differently, and achieve superior outcomes as a result. Learn how the best recruiting teams find, engage, and ultimately hire top talent (and how you can too).
Learn more about LinkedIn Talent Solutions: http://linkd.in/1bgERGj
Subscribe to the LinkedIn Talent Blog: http://linkd.in/18yp4Cg
Follow the LinkedIn Talent Solutions page: http://linkd.in/1cNvIFT
Tweet with us: http://bit.ly/HireOnLinkedIn
DataEd Slides: Data Management Best PracticesDATAVERSITY
It is clear that Data Management best practices exist and so does a useful process for improving existing Data Management practices. The question arises: Since we understand the goal, how does one design a process for Data Management goal achievement? This approach combines the DM BoK and the CMMI/DMM, permitting organizations with the opportunity to benefit from the best of both. The approach permits organizations to understand current Data Management practices, strengths to leverage, and remediation opportunities. In a nutshell, it describes what must be done at the programmatic level to achieve better data use.
This edition features The Top Women in Technology to Follow that are at the forefront of leading us into a digital future
Read More: https://ciolook.com/top-10-women-in-technology-to-follow-in-2023-vol-ii-august2023/
What is recruitment research? Sheila Greco, Chief Executive Officer Explains.SGA Talent
What is recruitment research?
Recruitment research is a research first, methodical recruiting solution used as an alternative to executive search. It is a recruiting strategy that combines both research and recruiting, offered as a bundled solution that can be scaled as well as priced accordingly. In addition to cost savings, this solution creates recruiting efficiency, provides real time intelligence, focuses on diversity and offers the ability to compare/contrast potential candidates ensuring only the most qualified candidates are presented. Recruitment research doesn’t stop at just recruiting, it also supports candidate pipelining and succession planning projects.
DAS Slides: Data Governance - Combining Data Management with Organizational ...DATAVERSITY
Data Governance is both a technical and an organizational discipline, and getting Data Governance right requires a combination of Data Management fundamentals aligned with organizational change and stakeholder buy-in. Join Nigel Turner and Donna Burbank as they provide an architecture-based approach to aligning business motivation, organizational change, Metadata Management, Data Architecture and more in a concrete, practical way to achieve success in your organization.
Tools alone are not the answer: Career roles and growth tracks for data professionals. In today’s (Big) data-driven information economy, it is even more critical to focus on data as an asset that directly supports business imperatives. But tools alone are not the answer. Organizations that want to rise above their competition can only do so with the help of skilled professionals who know how to manage, mine, and draw actionable insights from the multitudes of (Big) data sources. Numerous new roles and job titles have emerged to address the high demand for specialized data professionals. This webinar brings together three individuals well qualified to contribute to this important industry-wide discussion of data jobs. We will take a closer look at these newer data management roles and present recommendations on how to enhance career paths.
Check out more webinars here: http://www.datablueprint.com/resource-center/webinar-archive/
Data-Ed Online: Emerging Trends in Data JobsDATAVERSITY
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.
This month, we will dive into the world of data analysis and visualization. As data continues to proliferate our lives and work, the question of how to make sense of it and turn it into information and knowledge becomes more and more challenging. At the same time, powerful tools are becoming available to help analysts sift through data and present it in a way that draws attention to key bits of knowledge than can be derived. As such, the skills related to using these tools effectively have become highly sought-after as organizations seek to dig out the treasures hidden in their data troves.
Presentation by Stephen Lett (Procter & Gamble)
ISBA "Digital decision making and predicting spend"InspirEdu
ISBA - "Digital decision making and predicting spend"
There are clearly more questions than answers but responsibility is essential.
✔️ We have touched on some of these subjects before with Mark Steed
https://lnkd.in/dBGfmExg
✔️ and with ISC Digital, The Education Foundation & Intel Corporation
https://lnkd.in/dEwWJTG
DAS Slides: Building a Data Strategy - Practical Steps for Aligning with Busi...DATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task. The opportunity in getting it right can be significant, however, as data drives many of the key initiatives in today’s marketplace: digital transformation, marketing, customer centricity, and more. This webinar will help de-mystify Data Strategy and Data Architecture and will provide concrete, practical ways to get started.
Are you your company’s chief data officer? Given the scarcity of the official role, it’s likely that you’re not — at least in title. But that doesn't mean that you shouldn't operate like one. Do you approach data leadership as a C-level executive or a senior data head? Is your team’s output strategic or just operational? In this interactive keynote, one of the Windy City’s foremost data leaders will lead an interactive discussion on what it takes to lead like a chief, what it looks like, and how to get there and get it done.
LDM Slides: Conceptual Data Models - How to Get the Attention of Business Use...DATAVERSITY
Achieving a ‘single version of the truth’ is critical to any MDM, DW, or data integration initiative. But have you ever tried to get people to agree on a single definition of “customer”? Or to get Sales, Marketing, and IT to agree on a target audience?
This webinar will discuss how a conceptual data model can be used as a powerful communication tool for data-intensive initiatives. It will cover how to build a high-level data model, how the core concepts in a data model can have significant business impact on an organization, and will provide some easy-to-use templates and guidelines for a step-by-step approach to implementing a conceptual data model in your organization.
This will explain you what is data visualization,why we need it,what are the technologies in it ,tools available for it and it ends up with how can we get the excellence in visualization
Top recruiters tend to think differently, act differently, and achieve superior outcomes as a result. Learn how the best recruiting teams find, engage, and ultimately hire top talent (and how you can too).
Learn more about LinkedIn Talent Solutions: http://linkd.in/1bgERGj
Subscribe to the LinkedIn Talent Blog: http://linkd.in/18yp4Cg
Follow the LinkedIn Talent Solutions page: http://linkd.in/1cNvIFT
Tweet with us: http://bit.ly/HireOnLinkedIn
DataEd Slides: Data Management Best PracticesDATAVERSITY
It is clear that Data Management best practices exist and so does a useful process for improving existing Data Management practices. The question arises: Since we understand the goal, how does one design a process for Data Management goal achievement? This approach combines the DM BoK and the CMMI/DMM, permitting organizations with the opportunity to benefit from the best of both. The approach permits organizations to understand current Data Management practices, strengths to leverage, and remediation opportunities. In a nutshell, it describes what must be done at the programmatic level to achieve better data use.
This edition features The Top Women in Technology to Follow that are at the forefront of leading us into a digital future
Read More: https://ciolook.com/top-10-women-in-technology-to-follow-in-2023-vol-ii-august2023/
What is recruitment research? Sheila Greco, Chief Executive Officer Explains.SGA Talent
What is recruitment research?
Recruitment research is a research first, methodical recruiting solution used as an alternative to executive search. It is a recruiting strategy that combines both research and recruiting, offered as a bundled solution that can be scaled as well as priced accordingly. In addition to cost savings, this solution creates recruiting efficiency, provides real time intelligence, focuses on diversity and offers the ability to compare/contrast potential candidates ensuring only the most qualified candidates are presented. Recruitment research doesn’t stop at just recruiting, it also supports candidate pipelining and succession planning projects.
DAS Slides: Data Governance - Combining Data Management with Organizational ...DATAVERSITY
Data Governance is both a technical and an organizational discipline, and getting Data Governance right requires a combination of Data Management fundamentals aligned with organizational change and stakeholder buy-in. Join Nigel Turner and Donna Burbank as they provide an architecture-based approach to aligning business motivation, organizational change, Metadata Management, Data Architecture and more in a concrete, practical way to achieve success in your organization.
Tools alone are not the answer: Career roles and growth tracks for data professionals. In today’s (Big) data-driven information economy, it is even more critical to focus on data as an asset that directly supports business imperatives. But tools alone are not the answer. Organizations that want to rise above their competition can only do so with the help of skilled professionals who know how to manage, mine, and draw actionable insights from the multitudes of (Big) data sources. Numerous new roles and job titles have emerged to address the high demand for specialized data professionals. This webinar brings together three individuals well qualified to contribute to this important industry-wide discussion of data jobs. We will take a closer look at these newer data management roles and present recommendations on how to enhance career paths.
Check out more webinars here: http://www.datablueprint.com/resource-center/webinar-archive/
Data-Ed Online: Emerging Trends in Data JobsDATAVERSITY
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.
This month, we will dive into the world of data analysis and visualization. As data continues to proliferate our lives and work, the question of how to make sense of it and turn it into information and knowledge becomes more and more challenging. At the same time, powerful tools are becoming available to help analysts sift through data and present it in a way that draws attention to key bits of knowledge than can be derived. As such, the skills related to using these tools effectively have become highly sought-after as organizations seek to dig out the treasures hidden in their data troves.
Presentation by Stephen Lett (Procter & Gamble)
ISBA "Digital decision making and predicting spend"InspirEdu
ISBA - "Digital decision making and predicting spend"
There are clearly more questions than answers but responsibility is essential.
✔️ We have touched on some of these subjects before with Mark Steed
https://lnkd.in/dBGfmExg
✔️ and with ISC Digital, The Education Foundation & Intel Corporation
https://lnkd.in/dEwWJTG
DAS Slides: Building a Data Strategy - Practical Steps for Aligning with Busi...DATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task. The opportunity in getting it right can be significant, however, as data drives many of the key initiatives in today’s marketplace: digital transformation, marketing, customer centricity, and more. This webinar will help de-mystify Data Strategy and Data Architecture and will provide concrete, practical ways to get started.
Are you your company’s chief data officer? Given the scarcity of the official role, it’s likely that you’re not — at least in title. But that doesn't mean that you shouldn't operate like one. Do you approach data leadership as a C-level executive or a senior data head? Is your team’s output strategic or just operational? In this interactive keynote, one of the Windy City’s foremost data leaders will lead an interactive discussion on what it takes to lead like a chief, what it looks like, and how to get there and get it done.
LDM Slides: Conceptual Data Models - How to Get the Attention of Business Use...DATAVERSITY
Achieving a ‘single version of the truth’ is critical to any MDM, DW, or data integration initiative. But have you ever tried to get people to agree on a single definition of “customer”? Or to get Sales, Marketing, and IT to agree on a target audience?
This webinar will discuss how a conceptual data model can be used as a powerful communication tool for data-intensive initiatives. It will cover how to build a high-level data model, how the core concepts in a data model can have significant business impact on an organization, and will provide some easy-to-use templates and guidelines for a step-by-step approach to implementing a conceptual data model in your organization.
This will explain you what is data visualization,why we need it,what are the technologies in it ,tools available for it and it ends up with how can we get the excellence in visualization
"We Are Here! "We Are Here!" : How Tableau is Spreading the Word About Tablea...Tableau Community
Watch as we have Lelia Williams, Community Program Manager, Enablement and Integration at Tableau & Cara Chin, Senior Customer Engagement Manager at Tableau give us a glimpse into the work that they've been doing behind the scenes to shine a light on the Tableau User Group Program.
Working Together: How You as TUG Leaders Can Work Effectively with Our PartnersTableau Community
Do you have a tough time finding speakers and venues for your Tableau User Group Event? Cheryl Stanton, Partner Advisor at Tableau, shares more about Tableau Partners and how they can help you level up your TUG events.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
2. Sam Priddy (He/Him)
Sr. Data Skills Program Manager
EDUCATION
Northwest College
of Art and Design
2001 Graduate
Graphic Design,
Minor in Illustration
CAREER at Tableau
2014-2016
Tableau Sales
2016-2019
Tableau Training
2019-Present Tableau
Marketing
INTERESTS
Climbing, biking, field trials, travel, creating
3. A History of Change
Change and opportunity were the constant
2003
Graphic Design
2005
Graphic Design
2002
Grocery
2003
Non-Profit
2006
Manufacturing
2013
Retail Operations
2014
Tableau
2001
Graphic Design
4. Please make this relevant
How does this relate?
Non-Math
Tableau as a
double
edged sword
5. 1. Leaders need information to make decisions
2. Trust is hard to come by and it’s easy to fabricate “the truth”
3. Data Literacy is becoming a baseline requirement
4. Career uncertainty is common
How does this relate today?
Why am I telling you?
1. People are being asked to teach these concepts but aren’t
sure how
2. Unique position as a TUG leader to help
3. Large gap from learning original data concepts
4. Users have limited time to sift through info.
6. Data Skills 10 Million
What is Data Skills 10 Million? It’s Tableau’s
program to fulfill our commitment of enabling
10 million people with data skills over the
next 5 years to help close the data literacy gap
The future speaks data, do you?
7. Data Literacy Trail
How can we help?
Equity and
Inclusion Badge
Workforce Data
Literacy Guide