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Empowering the Everyday Expert: The Rise of the Citizen Data Scientist
Data Analytics Insights

Empowering the Everyday Expert: The Rise of the Citizen Data Scientist

In today's data-driven world, the ability to analyze and interpret data is no longer reserved for specialized data scientists. Enter the Citizen Data Scientist (CDS)—a new breed of professionals who bridge the gap between traditional data analysts and domain experts. This blog delves into the rise of the CDS role, exploring what the role entails, its origins, the benefits and challenges it...

By Neelam Chakrabarty 6 min read
August 19, 2024
#Business Transformation #Data Accessibility #Data Analytics
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10 most Powerful Prompts in Querri - Working with Data made Easy
Tutorials

10 most Powerful Prompts in Querri - Working with Data made Easy

Do you want quick answers from your data? Whether you're a seasoned data professional or a novice data wrangler, Querri can help you get answers quickly, saving you time and effort . Understanding your data is crucial if you want to improve the effectiveness of your marketing campaigns, identify productivity bottlenecks, optimize resource use, accurately forecast demand, or make faster and...

By Amy Ingram 12 min read
August 16, 2024
#Data Accessibility #Data Exploration #Data literacy
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Excel, ChatGPT, and Querri - How to standardize units of measurement in your data
Ai Machine Learning

Excel, ChatGPT, and Querri - How to standardize units of measurement in your data

When working with data from multiple sources, data can be in different units. One example can be found in the Kaggle FIFA 21 Raw Dataset. This dataset has a lot of opportunities for cleaning up the data, but here we’re just going to look at the Height and Weight columns. We’ll look at 3 methods to clean up these columns and we’ll take each step by step.

By Tom Schipper 5 min read
July 16, 2024
#AI #ChatGPT #Data Accessibility
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Understanding Data Migration: Moving Bits and Bytes to Better Places
Ai Machine Learning

Understanding Data Migration: Moving Bits and Bytes to Better Places

Data migration, in its simplest form, is the process of transferring data from one system, format, or location to another. Think of it as relocating your digital belongings, except instead of boxes and bubble wrap, you’re dealing with bits and bytes. Whether you're upgrading to a new software platform, merging data after an acquisition, or simply cleaning house, data migration ensures your...

By Neelam Chakrabarty 7 min read
July 1, 2024
#AI #Data Extraction #Data Migration
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Tackling the Messy Data Problem using Simple, Natural Language
Data Analytics Insights

Tackling the Messy Data Problem using Simple, Natural Language

In the bustling world of data analytics, the term "messy data" is a frequent topic of discussion, often evoking a collective groan amongst data professionals. Messy data refers to information that is incomplete, inaccurate, inconsistent, or poorly formatted. Picture a customer database where some entries lack email addresses, others have incorrectly formatted phone numbers, and still...

By Neelam Chakrabarty 8 min read
June 28, 2024
#Data Accessibility #Data literacy #Data management
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Why should I use AI when working with Data?
Ai Machine Learning

Why should I use AI when working with Data?

We have more data than ever. First, we must acknowledge that we live in an era of data explosion. The amount of data generated annually has grown year-over-year since 2010. It is estimated that 90% of the world's data was generated in the last two years alone. Within 13 years, this figure has increased by an estimated 60x from just 2 zettabytes in 2010.

By Amy Ingram 4 min read
June 3, 2024
#AI #Data Exploration #Data literacy
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Querri Is Here: Data Management for Everyone
Ai Machine Learning

Querri Is Here: Data Management for Everyone

Today, I’m excited to announce the general availability of Querri: the simplest way to clean, combine, analyze, and move data by asking questions in natural language. Querri is a new kind of data platform that uses AI technology, including large language models (LLMs), to help people work with data on their own without the need for any specialized skills or access to expert resources like...

By Dave Ingram 7 min read
March 11, 2024
#AI #Data Accessibility #Data Exploration
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Unlocking Efficiency: Exploring Querri AI for Inventory Management, Cash Conversion Cycle, and Accounts Receivable Analysis
Data Analytics Insights

Unlocking Efficiency: Exploring Querri AI for Inventory Management, Cash Conversion Cycle, and Accounts Receivable Analysis

Inventory management is key to using cash effectively Too much inventory means more cash tied up that could be put to use elsewhere and potentially higher obsolescence costs as parts in storage fall out of use. Too little inventory results in work stoppages for a manufacturer or lost sales for a retailer.

By Tom Schipper 4 min read
January 29, 2024
#AccountsReceivable #CashConversionCycle #Finance
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Four Major Data Trends to Watch in 2024
Ai Machine Learning

Four Major Data Trends to Watch in 2024

2023 saw remarkable advances in the data world. I attended AWS re:invent this year, and it left me feeling that if you weren’t talking about “Generative” something, LLMs or AI, were you really doing anything at all? Obviously, there was a lot of other great work going on, and every hype cycle brings some kind of similar explosion of activity, but 2023 was most certainly the year of GenAI.

By Dave Ingram 5 min read
December 31, 2023
#AI #Composability #Data Accessibility
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Showing 37 - 48 of 52 posts

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