Tomasz Tunguz

MARCH 19, 2024

Within data teams, a tension exists. Centralize the data analysis to ensure accuracy or enable end-users to analyze their own data directly which is faster & more direct. Cloud databases ushered in an opportunity to centralize that data analysis again. Users work with their own metrics definitions.

data analysis 57

data analysis enablement collaboration opportunity 57

Both Sides of the Table

FEBRUARY 14, 2010

In data analysis you want to look for “primary&# research, which means the person who initially gathered the data. But all of the data projections were so different so I decided to call some of the research companies and ask how they derived their data. And be careful not to believe your own hype.

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consulting data analysis advice construction 415

Tomasz Tunguz

JANUARY 14, 2021

Cloud Data Lakes are the future of large scale data analysis , and the more than 5000 registrants to the first conference substantiate this massive wave. On top of these lakes, data movement companies move data to the right consumers. Data engines query the data rapidly, inexpensively.

data analysis 81

data analysis enablement innovation technology 81

TechCrunch

JANUARY 28, 2022

Canvas was created as a spreadsheet-based workspace that lets business teams make independent decisions without taking a SQL class, and gives data teams time to focus on their strategic work. Once you find the data, you can drag and drop the table on the canvas and interact with it in the same manner you would in Google Sheets.

collaboration 88

collaboration development enablement strategy 88

TechCrunch

JULY 14, 2021

Some are not using what’s called 16-S sequencing — which is a form of amplicon sequencing — which is definitely a large step up from PCR but the downside is it’s only able to look at certain variable regions of the genome. “A lot of our work has been on the data analysis part,” confirms Jain.

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health support data analysis education 103

TechCrunch

JANUARY 24, 2022

Based on that first checkup, Zoi will use data science to process that data. We’ll be able to improve our data analysis continuously,” co-founder Paul Dupuy told me. We’re going to create the tools that will lead us to predictive algorithms. It’s all about increasing your odds of living a longer, healthier life.

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startup real estate health data analysis 85

The Zapier Blog

JUNE 10, 2025

Diversified data sourcing: The software should be able to draw data from a range of sources rather than one singular platform or proprietary repository. Even though MMMs definitely meet the criteria, their use cases are a little too narrow. Available for Python 3.7

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mix-use data analysis development media 52

Feedough

MARCH 20, 2021

Cross-Industry Standard Process for Data Mining (CRISP-DM) is a standard data mining model that systematically defines the key steps in any data mining project. The model involves the following steps: Business Understanding : The first phase in a data mining project starts with the definition of the problem statement.

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frameworks data analysis strategy networking 76

The Zapier Blog

APRIL 20, 2023

Essential IT data: IT data is the kibble that keeps the AIOps dog running. From performance metrics to error logs to application monitoring, these platforms aggregate the data produced by your essential IT processes. Big data analysis: A major function of AIOps is synthesizing massive amounts of varied data.

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data collection networking data analysis support 59