Business Intelligence

Datacast Episode 114: Building Data Products and Unlocking Data Insights with Carlos Aguilar

Datacast Episode 114: Building Data Products and Unlocking Data Insights with Carlos Aguilar

Carlos Aguilar is the Founder and CEO of Glean, a data visualization company based in New York City.

He grew up in Washington, DC, where he started tinkering with robots and websites early on and fell in love with the intersection of art and technology. At Cornell, he studied Mechanical Engineering and robotics and did research in machine learning applications in robotics and art. In 2009, he joined an early robotics startup called Kiva Systems, where he got deep into data and analytics.

After Kiva was acquired by Amazon, Carlos joined Flatiron Health and worked on data products to help cancer centers and cancer researchers. As the head of the Data Insights team, Carlos grew the team to 25 people who helped launch dozens of data products and supported Flatiron's core data infrastructure.

Datacast Episode 102: Early-Stage Investing, Modern Venture Capital, and Trends in Enterprise Infrastructure with Astasia Myers

Datacast Episode 102: Early-Stage Investing, Modern Venture Capital, and Trends in Enterprise Infrastructure with Astasia Myers

Astasia Myers is a Partner on Quiet Capital's enterprise team leading investments in ML, data infrastructure, open-source, developer tools, and security. She focuses on pre-seed, seed, and Series A.

Prior to joining Quiet, Astasia was an investor in Redpoint's early-stage enterprise team, where she partnered with Dremio, LaunchDarkly, Solo.io, Preset, Hex, Cyral, among others. Before that, she worked at Cisco Investments, where she focused on cloud-infrastructure M&A and investments, including Cohesity, Datos IO, Elastifile, Guardicore, Springpath, and the funding of internal stealth projects.

Datacast Episode 85: Ad Exchange, Stream Processing, and Data Discovery with Shinji Kim

Datacast Episode 85: Ad Exchange, Stream Processing, and Data Discovery with Shinji Kim

Shinji Kim is the Founder & CEO of Select Star, an intelligent data discovery platform that helps you understand your data. Previously, she was the CEO of Concord Systems, an NYC-based data infrastructure startup acquired by Akamai Technologies in 2016. She led the development of Akamai’s Internet-of-Things data platform for real-time messaging, log processing, and edge computing.

Prior to Concord, Shinji was the first Product Manager hired at Yieldmo, where she led the Ad Format Lab, A/B testing, and yield optimization. Before Yieldmo, she analyzed data and built enterprise applications at Deloitte Consulting, Facebook, Sun Microsystems, and Barclays Capital.

Shinji studied Software Engineering at the University of Waterloo and General Management at Stanford GSB. She also advises early-stage startups on product strategy, customer development, and company building.

What I Learned From The Modern Data Stack Conference 2021

What I Learned From The Modern Data Stack Conference 2021

Back in September 2021, I attended the second annual Modern Data Stack Conference, Fivetran’s community-focused event that brings together hundreds of data analysts, data engineers, and data leaders to share the impact and experiences of next-generation analytics. The presenters shared the transformations they experienced with their analytics teams, the new insights and tooling they enabled, and the best practices they employ to drive insights across their organizations.

In this long-form blog recap, I will dissect content from 14 sessions that I found most useful from the conference. These talks are broken down into 4 categories tailored to 4 personas: data engineers, data analysts, product managers, and data team leads. Let’s dive in!

Datacast Episode 74: The Next Generation of Business Intelligence with Cindi Howson

Datacast Episode 74: The Next Generation of Business Intelligence with Cindi Howson

Cindi Howson, the Chief Data Strategy Officer at ThoughtSpot, is an analytics and Business Intelligence expert with more than 20 years of experience and a flair for bridging business needs with technology.

Cindi was previously the Vice President in data and analytics at Gartner, where she was the lead author of the Analytics and BI Magic Quadrant. Additionally, she led the data and analytics maturity model, as well as research initiatives in data and AI for good, NLP/BI Search, and augmented analytics.

Prior to this, she was the founder of BI Scorecard, a contributor to Information Week, and the author of several books, including (1) Successful Business Intelligence: Unlock the Value of BI & Big Data and (2) SAP BusinessObjects BI 4.0: The Complete Reference. She has an MBA from Rice University and a BA from the University of Maryland.

Datacast Episode 72: Folding Data with Gleb Mezhanskiy

Datacast Episode 72: Folding Data with Gleb Mezhanskiy

Gleb Mezhanskiy is the CEO & Co-founder of Datafold -  a data observability platform that helps companies unlock growth through more effective and reliable use of their analytical data. As a founding member of Data teams at Autodesk and Lyft and the Head of Product at Phantom Auto, Gleb has built some of the world's largest and most sophisticated data platforms and has developed tooling to improve productivity and data quality in organizations with hundreds of data users.

Datacast Episode 64: Improving Access to High-Quality Data with Fabiana Clemente

Datacast Episode 64: Improving Access to High-Quality Data with Fabiana Clemente

Fabiana Clemente is a Data Scientist with a background that ranges from Business Intelligence to Big Data Development and IoT architecture. Throughout her professional career, she has been leading state-of-the-art projects in global companies and startups. She has an academic background in Applied Maths, and MSc in Data Management combined with nano degrees in Deep Learning and Secure and Private AI.

As YData’s Co-Founder, she combines Data Privacy with Deep Learning as her main field of work and research, with the mission to unlock data with privacy by design. She also aims to inspire more women to follow her steps and join the tech community.

Datacast Episode 62: Leading Organizations Through Analytics Transformations with Gordon Wong

Datacast Episode 62: Leading Organizations Through Analytics Transformations with Gordon Wong

As a data modeling fanatic, data warehouse architect, multi-hypergrowth startup veteran, and team builder, Gordon has built his career on helping people get their business questions. Over time, he's switched his focus from pure technology to complete solutions where people, process, and technology all play a role. At Fitbit, he established the data warehousing team and, as an early customer of Snowflake, used it to fuel petabyte-scale analytics. Later on, at both ezCater and Hubspot, he rebuilt the data warehousing teams to focus on enabling analysts, not loading more data. A constant focus on the customer and their problems has led him to realize that empathy is the most important trait a leader can have.