I'm Diane Mizoda, back live from Data Village, joined by two statistically significant members of the data fam, Bailey Ferrari and Ed Buren.

我是黛安-米佐達（Diane Mizoda），現在從數據村回到現場，與我一起的還有數據家族的兩位重要成員貝利-法拉利（Bailey Ferrari）和埃德-布倫（Ed Buren）。

Breaking down the big announcements, we're going to dive head first into data.

在對重要公告進行細分後，我們將首先對數據進行深入研究。

Bailey, what was your biggest takeaway from the keynote?

貝利，你從主題演講中最大的收穫是什麼？

Absolutely.

當然可以。

I mean, first and foremost, what an amazing keynote.

我的意思是，首先，這是一個多麼令人驚歎的主題演講。

So much shown, so much to kind of wrap our heads around.

有這麼多的節目，有這麼多的事情需要我們去思考。

I think the biggest thing, we went from seeing Wave 4 with Padmashree in Southern, and it was so cool.

我認為最重要的是，我們在南方看到了 Padmashree 的第 4 波，感覺太酷了。

It was so different, and just really a reimagined experience of what it could look like to take Tableau to another level.

它是如此與眾不同，讓人重新認識了將 Tableau 提升到另一個層次的體驗。

And I think that the biggest thing, they said it, but I want to say it again.

我認為最大的問題是，他們說過了，但我想再說一遍。

We want to hear from you.

我們想聽聽您的意見。

Tell us what you like.

告訴我們你喜歡什麼

Tell us what you need.

告訴我們您的需求。

Tell us how we can continue innovating this product, because I think that that's what we care about the most here at Tableau.

告訴我們如何繼續創新產品，因為我認為這是我們在 Tableau 最關心的事情。

Absolutely.

當然可以。

And then Devs on Stage was present state, what we currently have right now, the Tableau that everybody knows and loves, and how we're going to enhance that.

然後，Devs on Stage 是目前的狀態，也就是我們現在擁有的、大家都知道並喜愛的 Tableau，以及我們將如何增強它。

And I don't want that to be understated.

我不想對此輕描淡寫。

We love Tableau as it stands now, and we are continuing to make it better every single day.

我們熱愛現在的 Tableau，我們每天都在不斷改進它。

Fantastic.

太棒了

And another big crowd pleaser, Tableau Public.

另一個大受歡迎的產品是 Tableau Public。

Oh, my gosh.

哦，我的天哪。

So great.

太棒了

How does Tableau Public make the world a better place?

Tableau Public 如何讓世界變得更美好？

I love Tableau Public, because it really is, as Ryan said, a vehicle to do well as a company and do good in the world.

我喜歡 Tableau Public，因為正如 Ryan 所說，它確實是一家公司做好事、造福世界的載體。

I mean, even just top of mind right now, I was looking at some of the vizs of the day.

我的意思是，即使只是現在的頭等大事，我也在看當天的一些視頻。

There was an amazing volunteer impact viz by Tabitha Diaz that won viz of the day in the last couple of weeks.

在過去幾周裡，塔比莎-迪亞茲（Tabitha Diaz）的志願者影響視頻獲得了 "今日視頻 "大獎。

So really, really amazing.

真的，真的太神奇了。

Gives you insight into things like climate change and gender inequality that, yeah, really help us shed some light and tell stories with data to help us better serve the world and serve the planet.

讓你深入瞭解氣候變化和性別不平等等問題，是的，這確實有助於我們用數據來揭示和講述故事，幫助我們更好地為世界和地球服務。

What do you think, Ed?

你怎麼看，埃德？

I mean, I was blown away by the statistics, right?

我是說，這些數據讓我大吃一驚，對吧？

Tableau Public has been around for a long time.

Tableau Public 由來已久。

A lot of people are using Tableau.

很多人都在使用 Tableau。

But you look at our growth, 32% growth in Tableau Public profiles, 30% growth in Tableau Public dashboards, and 15% growth in user group members.

但看看我們的增長，Tableau Public 資料增長了 32%，Tableau Public 面板增長了 30%，用戶群成員增長了 15%。

So for the folks, again, that are online, just dipping their toes in this, this is a huge opportunity.

是以，對於那些剛剛上網的人來說，這是一個巨大的機會。

Now with Tableau Public Local Save, you can use it with your personal data, your finance data.

現在，有了 Tableau Public Local Save，您可以將其用於個人數據和財務數據。

Shoot, if you're coaching a softball or basketball team, use that to win some games for your seven-year-old.

如果你是壘球隊或籃球隊的教練，就利用這一點為你的七歲孩子贏得一些比賽。

It doesn't matter.

沒關係。

You have access to the technology.

你可以獲得技術。

You have an opportunity to get better.

你有機會變得更好。

And you can see the demand and growth that's happening in this space.

你可以看到這個領域的需求和增長。

This is an exciting team to go all in on this technology.

這是一個令人興奮的團隊，他們將全力投入這項技術。

Absolutely.

當然可以。

This is like 9.5 million visualizations.

這相當於 950 萬次可視化。

I love that.

我喜歡這樣。

That is so awesome.

真是太棒了。

Well, Devs on Stage was another big, big moment.

嗯，"開發者舞臺 "是另一個重要時刻。

What were some of the highlights for you guys from Devs on Stage?

Devs on Stage 給你們帶來了哪些亮點？

It's so hard to pick again, because there were so many good ones.

很難再選一次，因為有太多的好作品。

I mean, Composable Data Sources.

我的意思是，可組合數據源。

I have been begging Devs, sorry Devs, if anyone who's watching online, if you're a Dev, sorry, for Composable Data Sources.

我一直在懇求開發人員，對不起，如果有人在網上觀看，如果你是開發人員，對不起，可組合數據源。

I would want to join those published data sources and continue doing kind of additive data modeling.

我希望加入這些已發佈的數據源，繼續進行添加式數據建模。

It's really complimentary to shared dimensions as well, which is highlighted throughout the conference.

這也是對共享維度的讚美，整個會議都強調了這一點。

So that was a huge one.

所以這是一個巨大的挑戰。

VizQL Data Service, making Tableau more extensible and flexible, so, so cool.

VizQL 數據服務，讓 Tableau 更具擴展性和靈活性，太酷了。

I found the sentiment analysis fascinating.

我發現情感分析非常吸引人。

I'm like, ooh, are they going to be able to detect shade in text?

我想，哦，他們能檢測出文本中的陰影嗎？

Yeah, possibly.

是的，有可能

What did you see, Ed, that you loved?

你看到了什麼，艾德，你喜歡的？

I mean, I think for me, when you then open this up to the fact that our developer community was now part of the keynote, that they're building up applications within our visual best practices and our technology to do whatever it is that they're doing internal for customers or external for their customers, the human app exchange, the app exchange of Tableau, it's only going to accelerate, especially with things like Viz extension.

我的意思是，我認為對我來說，當你將這一事實開放給我們的開發人員社區時，他們現在是主題演講的一部分，他們正在我們的可視化最佳實踐和我們的技術範圍內構建應用程序，以完成他們為內部客戶或外部客戶所做的任何事情，人類應用程序交換、Tableau 的應用程序交換，這隻會加速，尤其是像 Viz 擴展這樣的事情。

So, very excited about what that's going to mean for what we can provide to our customers.

是以，我們非常期待這對我們為客戶提供的服務意味著什麼。

Yeah, let's really quickly touch on a couple of the product announcements.

是的，讓我們快速瞭解一下幾項產品公告。

Tableau Pulse, what were your thoughts?

Tableau Pulse，你有什麼想法？

Yeah, I mean, Tableau Pulse is really that reimagined consumption experience.

是的，我的意思是，Tableau Pulse 確實是一種全新的消費體驗。

Again, taking Tableau from visual analytics to conversational analytics, infused with generative AI, infused with natural language processing to really reach a new audience.

同樣，將 Tableau 從可視化分析帶入對話式分析，注入生成式人工智能，注入自然語言處理，從而真正接觸到新的閱聽人。

I mean, we've historically targeted those people who wear the shirts that say, I love data, and the reality of the situation is, not everybody feels like they're a data person because data can be complex, and dashboards can be robust, and it's sometimes hard to know how to interact with them, and Pulse solves that problem.

我的意思是，我們的目標群體歷來都是那些穿著 "我熱愛數據 "襯衫的人，但現實情況是，並不是每個人都覺得自己是數據專家，因為數據可能很複雜，儀表盤可能很強大，有時很難知道如何與它們交互，而 Pulse 解決了這個問題。

We're unlocking an entirely new audience with Pulse.

我們正在通過 Pulse 發掘全新的閱聽人群體。

Yeah, and what does that mean for customers, Ed?

是的，這對客戶意味著什麼，埃德？

I mean, it's huge.

我的意思是，這是巨大的。

I think you start to think about, hey, what are my top five KPIs that I need in the pocket of every one of my employees, built in a visual, intuitive, smart way where they can ask additional questions of that data.

我想，你會開始思考，嘿，我需要讓我的每一位員工都能掌握的五大關鍵績效指標是什麼，並以一種可視化、直觀、智能的方式建立起來，讓他們可以對這些數據提出更多問題。

It then is gonna customize it to their experience.

然後再根據他們的體驗進行定製。

You can share these insights across your team.

您可以在團隊中分享這些見解。

It's all about insights to action and giving it to your business users, those who aren't maybe necessarily data people, but need to make better decisions, and Pulse is gonna do exactly that.

這一切都關乎將洞察力轉化為行動，並將其提供給業務用戶，那些不一定是數據專家，但需要做出更好決策的用戶，而 Pulse 正是要做到這一點。

Right, and helping along with that, Einstein Copilot for Tableau, right?

對，還有用於 Tableau 的 Einstein Copilot，對吧？

Absolutely, I mean, again, we're really trying to augment the consumption experience with Pulse and then the build experience with Copilot.

當然，我的意思是，我們確實在嘗試通過 Pulse 增強消費體驗，然後通過 Copilot 增強構建體驗。

You saw it in Pulse also, or in prep, very, very cool, being able to do things like sentiment analysis, asking questions, how can I better transform my data to answer the business questions that I'm trying to solve?

你在 Pulse 中也看到了，或者在預處理中也看到了，非常非常酷，能夠進行情感分析等工作，提出問題：我怎樣才能更好地轉換我的數據，以回答我試圖解決的業務問題？

And then, of course, through the offering experience in Web Editor and in desktop, how can I ask those kind of supplementary questions to dive a little bit deeper, even if I don't know exactly where or when to drag and drop something?

當然，通過 Web 編輯器和桌面版提供的體驗，即使我不知道在哪裡或什麼時候拖放東西，我也可以提出這些補充問題，以便更深入地瞭解情況。

Yeah, and we know that the foundation built under AI is data and data cloud.

是的，我們知道人工智能的基礎是數據和數據雲。

Can you touch on that for a second?

你能談談這個問題嗎？

Absolutely, I mean, I think the data cloud is centrally focused on consolidating all of our data so that we have that single pane of glass, single source of truth of deeply understanding our customer, and that's really what Salesforce as a company does best, and I think that's our competitive advantage here.

當然，我的意思是，我認為數據雲的核心是整合我們所有的數據，這樣我們就有了深入瞭解客戶的單一窗口、單一真相來源，而這正是 Salesforce 作為一家公司最擅長的，我認為這就是我們的競爭優勢所在。

We have data across the board, sales, service, marketing.

我們擁有全面的數據，包括銷售、服務和營銷數據。

We can kind of compile that, and then through Tableau, we can actually make it actionable.

我們可以對其進行編譯，然後通過 Tableau 使其具有可操作性。

Absolutely.

當然可以。

I was going to say, I mean, I've been with the company for 10 years, the last three has been post-acquisition with Salesforce, and I think the data fam really needs to open up their eyes at the art of the possible with this Trailblazer community.

我想說的是，我已經在公司工作了 10 年，最近三年是在被 Salesforce 收購之後，我認為數據領域的人真的需要睜大眼睛，看看這個開拓者社區的可能藝術。

There is no more valuable data than customer data, and there is no leader in that quite like Salesforce.

最有價值的數據莫過於客戶數據，而在這一領域，Salesforce 無出其右者。

You take data cloud, the centralized view, visualized by Tableau, it's a game changer.

數據雲、集中視圖、Tableau 可視化，這些都改變了遊戲規則。

Yeah, and what would you say to people that this is their first Tableau conference, either watching online or in the audience, what advice would you give them?

是的，對於第一次參加 Tableau 大會的人，無論是在線觀看還是現場觀眾，你有什麼建議？

Well, first and foremost, welcome, we love you.

首先，歡迎你們，我們愛你們。

We're so excited that you're here, and we want you here in person next year if you can.

我們很高興你們能來，如果可以的話，我們希望你們明年能親自來。

In San Diego again.

又到聖地亞哥了

In San Diego, woo!

在聖地亞哥

San Diego, that's it.

聖地亞哥，僅此而已。

Hope your flight's today.

希望你的班機是今天的。

Yes.

是的。

No, I think that the biggest thing, there's really two audiences that we want to encourage you to connect with, and that's the rest of the data fam, so everyone externally, online, in the forums.

不，我認為最大的問題是，我們希望鼓勵你們與兩個閱聽人建立聯繫，那就是數據 fam 的其他成員，即外部、在線和論壇中的每個人。

Go onto LinkedIn right now.

馬上登錄 LinkedIn。

Post your Tableau aha moment.

發佈您的 Tableau 頓悟時刻。

What did you see that you like?

你喜歡看到什麼？

Hashtag it with the data 24, and start that dialogue.

用數據 24 標籤，開始對話。

We are an incredibly active community.

我們是一個非常活躍的社區。

And then number two, talk to your Tableau team.

第二，與你的 Tableau 團隊溝通。

Ed is essentially like a LinkedIn influencer, so connect with Ed, and he'll probably reply to your messages.

埃德本質上就像是 LinkedIn 的影響者，所以請與埃德聯繫，他可能會回覆你的資訊。

And really, tell us how you're feeling.

真的，告訴我們你的感受。

Tell us how we can help you get started with these learnings.

請告訴我們如何幫助您開始學習這些知識。

Yeah.

是啊

Tableau's a skill.

Tableau 是一項技能。

You gotta work it out.

你得想辦法解決。

It is.

就是這樣。

Data skills pay those bills.

數據技能可以支付這些賬單。

It sure does.

確實如此。

All right, well thank you guys so much for joining us.

好的，非常感謝你們的參與。