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Data Analytics | Chuck Muizers

Eckerson Group Audio Blogs

Join us this week on the New Zealand Initiative podcast! Our host, Dr Eric Crampton chats with Professor Rhema Vaithianathan from Auckland University of Technology. Rhema gives us a peek into her pioneering work on data-tools, designed with a human touch to better serve communities.

In this fascinating chat, they delve into Rhema's trailblazing project, the Allegheny Family Screening Tool. This unique decision-aid tool is a global first, introduced in 2016 to support child welfare hotline screening. The duo also touch on the equally impressive Allegheny Housing Assessment tool, another innovative machine-learning tool used since 2020 for prioritising housing within the homelessness system.

Rhema reveals the power of predictive risk modelling in the US child protection system, where her team used administrative data to help improve outcomes for children. Listen to how this model uses past case data to guide operators in their decisions regarding potential abuse cases.

In the US, this approach worked to substantially reduce child hospitalisation. It could be done in New Zealand as well. In fact, the work started here. But New Zealand’s politics and public service has a very difficult time with new approaches. American localism means that one innovative county can try it out, and demonstrate the benefits to others.

All this and more in our enlightening podcast. Stay tuned for Part Two, where the conversation on AI and predictive models in child protection systems, and on encouraging public sector innovation more broadly, continues!

Podcast: Data analytics for social impact (part one)

ข้อมูลของเรา เวลามีขนาดไม่เยอะ ใช้เครื่องมือธรรมดาอย่าง spreadsheet ก็น่าจะเพียงพอแล้ว แต่เวลาข้อมูลมีขนาดใหญ่ มันก็จะไม่ง่ายอย่างนั้น วันนี้คุณไอซ์ วรุฒ กฤษรุ่งเรือง Senior Data Engineer จากบริษัท Data Wow จะมาเล่าให้ฟัง ตั้งแต่ต้นทาง ไปจนถึงปลายทาง Data Pipeline ทำอย่างไร ยากไหม ติดตามได้ในตอนนี้
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คำถาม
1. Data Pipeline คืออะไร แล้วมันมีประโยชน์อย่างไรครับ
2. อะไรเป็นองค์ประกอบของ Data Pipeline แล้วแต่ละส่วนมันเชื่อมโยงกันอย่างไร
3. อะไรเป็นความท้าทายเวลาเราต้องสร้าง หรือ Maintain Data Pipeline ครับ
4. ระหว่าง Batch Processing กับ Real-Time/ Streaming Data Pipeline เราเลือกใช้อย่างไร
5. คำว่า Data Pipeline คือการเอาข้อมูลมายัดใส่พวกตระกูล BigQuery หรือ RedShift หรือเปล่า
6. มีเคสที่ Data Pipeline มีบทบาทสำคัญกับธุรกิจมาเล่าให้ฟังไหม
7. อะไรเป็น Technology ที่น่าสนใจและต้องจับตามองสำหรับการทำ Data Pipeline
8. ถ้าวันนี้เราจัดการกับข้อมูลจำนวนหนึ่ง แล้วในอนาคตข้อมูลเยอะขึ้นมากๆ เราจะจัดการหรือเตรียมความพร้อมกับ Data Pipeline ได้อย่างไร
9. เราสามารถทดสอบได้ไหม ว่า Data Pipeline เราทำงานได้อย่างถูกต้อง
10. Data Pipeline มีผลกับการทำ Machine Learning หรือ Data Analytics ไหม
11. มีข้อแนะนำให้คนฟัง เวลาที่คิดจะสร้าง Data Pipeline ควรจะต้องคิดถึงเรื่องอะไรบ้างไหม

Data Pipeline ศิลปะของการจัดการข้อมูล กับคุณวรุฒ กฤษรุ่งเรือง | Tech Monday EP.139

Only You - gin$eng

Every organization that manufactures data for decision making is rethinking its data architecture. Compared to five years ago, there is a treasure trove of new technologies and techniques that promise to transform the way organizations compete and serve customers. This audio blog summarizes the major characteristics of a modern data architecture and serves a high-level guide for organizations that are in the midst of developing a new data strategy for the modern age.

Originally published at https://www.eckerson.com/articles/ten-characteristics-of-a-modern-data-architecture

Ten Characteristics Of A Modern Data Architecture by Wayne Eckerson - Audio Blog

Data engineering is one of the hottest and most difficult jobs to fill in the field of analytics. Breadth and depth of required skills limits the number of people qualified to work as data engineers. If you’re seeking to hire data engineers, consider the 24 skill areas identified here as guidance to shape job descriptions and to screen candidates. If you’re seeking to become a data engineer, take the skills assessment to highlight your strengths and identify your gaps.

Originally published at https://www.eckerson.com/articles/data-engineering-coming-of-age

Data Engineering Coming of Age by Dave Wells - Audio Blog

To survive and thrive in today’s information economy, organizations need to establish a compelling data strategy that advances the company’s key objectives and goals. This is not a job for the chief information officer or even chief data officer; it’s a task that the CEO must own and champion and assemble his best and brightest to execute. This audio blog examines the ten step methodology that Eckerson Group uses to help organizations create a data strategy.

Originally published at https://www.eckerson.com/articles/how-to-create-a-data-strategy-part-1-overview

Ten Steps To Create A Data Strategy by Wayne Eckerson - Audio Blog

Ethics is challenging because right and good are not always clear. More data, more kinds of data, and advanced analysis of data often conflict with concerns of data privacy, security, anonymity, and ownership. Resolving these conflicts requires acknowledgment, discussion, and the hard work of defining ethics-based policies and creating a culture of ethical conduct.

Originally published at https://www.eckerson.com/articles/data-ethics-the-new-data-governance-challenge

Data Ethics - The New Data Governance Challenge by Dave Wells - Audio Blog

With today’s unprecedented velocity of change in data and technologies, the single version of the truth (SVOT) is sometimes looked upon as a nice to have. But SVOT is not optional. Despite the difficulties in constructing a single version of the truth, it is now needed more than ever to keep CEOs happy and to stay compliant with new regulations like the GDPR.

Originally published at https://www.eckerson.com/articles/single-version-of-the-truth-not-optional

Single Version of the Truth - Not Optional by Stephen J. Smith - Audio Blog

In April 2019, the Harvard Business School Digital Initiative brought together academics and practitioners for an idea exchange around technology in a multidisciplinary world. This Future Assembly flash talk features Ayelet Israeli from Harvard Business School discussing "The added value of data analytics: evidence from online retailers." To learn more, check out digital.hbs.edu.

Transcript: https://hbs.me/3bQ28EG

Ayelet Israeli on the added value of data analytics | Future Assembly 2019

This audio blog focuses on data storytelling and how it uses numbers, narrative, and visuals to communicate insights that would otherwise be hard to absorb. 
Originally published at: 
https://www.eckerson.com/articles/data-storytelling-part-i-telling-it-like-it-is-and-was-and-will-be

Data Storytelling, Part I- Telling It Like It Is, And Was, And Will Be by Jake Freivald - Audio Blog

Listen to data and analytics leaders share the secrets of their success. Wayne Eckerson, long-time global thought leader interviews guests who run data and analytics programs at Fortune 2000 organizations around the world. Tune in to stay abreast of the latest technologies, techniques, and trends in our fast-paced industry.

Data Storytelling, Part I- Telling It Like It Is, And Was, And Will Be by Jake Freivald - Audio Blog

Secrets of Data & Analytics Leaders