Catalog & Cocktails

data.world is the data catalog platform. Its cloud-native SaaS (software-as-a-service) platform combines a consumer-grade user experience with a powerful knowledge graph to deliver enhanced data discovery, agile data governance, and actionable insights. data.world is a Certified B Corporation and public benefit corporation and home to the world’s largest collaborative open data community with more than two million members, including ninety percent of the Fortune 500. Our company has sixty-two patents and has been named one of Austin’s Best Places to Work seven years in a row.

Vopak

Alumni Ventures

OurCrowd

David Reuter

Richard Braddock

Stephen Pagliuca

Workday Ventures

Tech Pioneers Fund

Shasta Ventures

Prologis Ventures

Cotter Cunningham

Goldman Sachs Asset Management

Sandbox Insurtech Ventures

Dave Liu

Paul Albright

Scott Stephenson

Zachary Karabell

data.world

We're excited to announce an integration with Snowflake that brings new data quality metrics and measurement capabilities to enterprises. Say hello 👋 to data quality on-demand with the data.world Snowflake Collector.

When data trust is increasingly crucial to nearly every business - data quality becomes a vital component of the workflow.

Jeff Hollan, Director, Product Management at Snowflake, says: “Our collaboration with data.world enables data teams and decision-makers to verify and trust their data’s quality to use in mission-critical applications and analytics across their business.”

Learn more:  https://lnkd.in/ejdJEd3n

On January 31, join our own Juan Sequeda, Principal Scientist & Head of data.world's AI Lab, along with Benn Stancil of ThoughtSpot and Joel Labes of dbt Labs for a live, in-depth discussion on data.world's groundbreaking benchmark study on the effectiveness of semantic layers on analytical accuracy of LLMs. Look forward to:

- The key findings of data.world's revolutionary research
- A behind-the-scenes look into additional tests conducted by Joel and the dbt Labs team
- A guide to the essential tools for constructing and managing your semantic layer and analysis
- Insights and opinions on the future direction in this space from the panelists

Don't miss out! Register now:
https://lnkd.in/ezdZ4vpw

Packed takeaways from the #HonestNoBS Dinner in Dallas: 

👍What’s working 
- Each silo does work
- Data immature company, start w/ data warehouse 
- Capture semantics of concepts at a granular level. Let people ask questions using granular concepts
- If you say you are treating data as a product, put your money where you mouth is. 
- Be practical. Don’t force things on people
- Find example of a loss in the business where there was a lack of data ownership 
- Tlk to different Business Unit leaders & ask for their pain points
- Showcase the silos that are being successful & how they are doing it 
- Lunch&learn where BU share what they’ve done & the value they had with data 
- Hackathons involving business & data teams
- Putting AI on every slide :) but at the same time not talking about AI. Just DO IT & talk about the problem 
- GenAI to help “taking care of data” (i.e. metadata)
- Use AI to access good data… but you need to make sure your data is good 
- Stop investing in reporting building. Rather invest in semantics, metadata, knowledge graphs. And then put AI on that 
- Governance for regulation is working. Otherwise, kinda
- Marketing your data. Combination of data provides innovation (and new revenue opportunities)
- Define the critical data elements. That’s what you will govern & focus data quality on. Generates the most value & eyeballs
- DG framework: 1) executive committee that provides direction 2) Working group (VP level) which says which critical data elements 3) Data stewards who do the work. 
- Doing data products without knowing that we are doing it. Not being pedantic. 

👎What’s not working
- Each silo does work. But not working together
- Culture change
- Sense of attachment of the reports you have built
- We should kill “building reports”, make sure that the data is understandable by everyone. Report is just a UI for data 
- Too much power to the folks building reports, not the shining light on the data teams building 
- If you don’t ask the question to the report team in the right way, it’s like ChatGPT it will hallucinate 
- Lack of report governance. Disparate report building
- Lack of consistency & standardization. Same metric, different number. No alignment on terminology. Texas is TX, TEXAS, TEX. 
- Incentivized to run depts in their own way. But not be able to report at the enterprise level 
- Resistance to data ownership. Because the person is the owner. The ones responsible for the process should be accountable. 
- Pay attention to AI but don’t put all your investments in it. Don’t take it as gospel
- Vendors promising to solve tech problems that they can’t & also solving culture/people/process problem 
- Build it & they will come
- CDO are sitting at the kids table

👥 Where does data report to? 
- Moves all over the place (COO, CIO, CFO) because they don’t know what the CDO does and not one wants to own data.
- CIO->COO->CEO
- CTO->CIO->CEO
- CFO->CEO

😎 Where should data ideally report to? COO or CFO. Never CIO 


Viewport Meta

IPhone / Mobile Compatible

Domain Not Resolving

Euro

Google Tag Manager

DNSSEC

Organization Schema

Cloudflare CDN

IPv6

Cloudflare Hosting

General Counsel

Ariane Chan

CTO and Co-Founder

Bryon Jacob

Chief Product Officer and Cofounder

Jon Loyens

Program Delivery Owner

Kris Brown

Chief Revenue Officer

Richard Yonkers

VP, Strategic Account Management

Ryan Cush

VP of Technology Operations and CSO

Stephen Verleye

Vice President Client Services

Amy Niemann

VP, Implementation and Support

Balaji Krishnan

Sales and Support

Blynn Buckley

Peter Fader

Robert Hansen

Doug Ulman

Gary Hoover

Chris Hyams

Andy Sernovitz

Seth Greenberg

Victor Trac

Brett Hurt

Co-Founder & Chief Executive Officer

Matt Laessig

COO & Co-Founder

CTO & Co-Founder

Shad Reynolds

Vice President of Product Engineering

Marcus Stroud

Investor

Amber Thomas

Community Lead

Lydia Guarino

Director - Product Engineering

Texas Companies With More Than 10 Employees (Top 10K)

Analytics Startups

The University of Texas at Austin Alumni Founded Companies

SaaS Companies (Top 10K)

data.world makes it easy for everyone—not just the “data people”—to get clear, accurate, fast answers to any business question. Our cloud-native data catalog maps your siloed, distributed data to familiar and consistent business concepts, creating a unified body of knowledge anyone can find, understand, and use.

data.world is also home to the world’s largest collaborative data community. It’s where people team up on everything from social bot detection to award-winning data journalism. We use what we learn from this community to improve the enterprise product and vice versa. 

Our team co-created the Manifesto for Data Practices, the most effective, ethical, and modern approach to data teamwork. More people signed the Manifesto for Data Practices in its first year than signed the Agile Manifesto in its first two years combined. In 2019 DataPractices.org  became a Linux Foundation Project. The vendor-neutral community features new, open courseware to help people and organizations improve data practices through inclusion, experimentation, accountability, and impact.

We are a Public Benefit Corporation. Most corporations are required to prioritize shareholder returns above all else. Not us. We are legally structured as a Public Benefit Corporation so we can pursue our mission and shareholder value with equal vigor. This ability is rare, powerful, and sustaining.

Series C - Data.world

Series B - Data.world

Venture Round - Data.world

Pat Ryan

FYRFLY Venture Partners

Austin

Texas

United States

North America

Data.world

Curating Cleaner Data In Messy Multimodal Modals

data.world Launches AI Context Engine™: Chat with your data, with market-leading accuracy

data.world's Groundbreaking AI Context Engine™ Helps Teams Build AI-Powered Applications With Data and ...

data.world Integrates with Snowflake Data Quality Metrics to Bolster Data Trust

Going global: Fast-growing Austin tech firm data.world looks to step into Europe

Data.world raises $50M investment led by Goldman Sachs

Connects large language models with organizational data to deliver accurate, explainable, and governed responses.

Enables users to find and understand data with AI-assisted search, auto-enrichment, and guided exploration.

Provides agile data governance with automations and workflows to improve productivity and engage stakeholders.

Facilitates communication and sharing of metadata on data pipelines with automations, lineage, and notifications.

Automates metadata enrichment, access workflows, and agile processes for data governance.

Uses large language models to reduce manual effort in finding and understanding data.

India

Asia

Singapore

Bangladesh

The Netherlands

Europe

HTML5

Insightly Marketing

GlobalSign

Vimeo

F5 NGINX

HubSpot Marketing Hub

Fastly

Amazon Route 53

Wistia

Modernizr

Alteryx aims to be the launchpad for automation breakthroughs, converging analytics, data science, and process automation.

Alteryx

Segment is a customer data platform that helps collect, clean, and control customer data.

Segment

Egnyte provides secure file sharing, intelligent content services, and collaboration solutions.

Egnyte

Tealium Customer Data Hub is a customer data platform that unifies customer data across various channels.

Tealium Customer Data Hub

Teradata Vantage is a cloud data analytics platform that unifies analytics, data lakes, and data warehouses.

Teradata Vantage

data.world is a leading enterprise data catalog and governance platform that aims to democratize data access and champion inclusive, agile processes for data work. The company is a Public Benefit Corporation and a Certified B Corporation, prioritizing social and environmental performance alongside shareholder value. It is home to the world's largest collaborative open data community and offers a Data Catalog Platform built on a Knowledge Graph Architecture.

news impact assignment basic	general	Feb 8, 2024 9:35 PM	62b974d5
public peers	general
news daily refresh	general
news processing daily refresh	general
news impact assignment daily	general
news processing basic	general	Feb 8, 2024 9:35 PM	49e06864
company summary	general
signals	general
crunchbase trigger	general	Nov 25, 2024 9:06 AM	ff2a21e8
crunchbase profile	general	Nov 25, 2024 9:45 AM	7d2ac139
li profile	general	Feb 8, 2024 9:35 PM	34ff3c0e
translate crunchbase fundingrounds	general	Nov 25, 2024 1:50 PM	a1f05b79
peers	general	Feb 8, 2024 9:35 PM	61b96033
news basic	general	Feb 8, 2024 9:35 PM	44569983
bundesanzeiger	filings
financials download nd	financials
private financials	financials

WORLD:DATA

data.world