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Garbage In, Insights Out: Making Sense Of Messy Data With Querri
Ai Machine Learning

Garbage In, Insights Out: Making Sense Of Messy Data With Querri

Unlock the hidden potential of your chaotic datasets with Querri's advanced data cleaning and preparation tools. The Challenges of Messy Data in Logistics and Manufacturing In logistics and manufacturing, data originates from a myriad of sources, including sensors, inventory systems, ERP platforms, and supplier spreadsheets.

By Dave Ingram • 4 min read
October 15, 2024
#AI #Data Analytics #Data-Driven
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Predicting The Future: Leveraging Data For Accurate Demand Forecasting In Logistics With Querri
Data Analytics Insights

Predicting The Future: Leveraging Data For Accurate Demand Forecasting In Logistics With Querri

Unlock the power of data to predict demand and optimize your logistics operations with Querri's advanced forecasting capabilities. The Importance of Accurate Demand Forecasting in Logistics Accurate demand forecasting is a cornerstone of effective logistics management. It enables operations managers to optimize resource utilization, minimize waste, and ensure timely delivery of products to...

By Dave Ingram • 6 min read
October 14, 2024
#Data Analytics #Demand Forecasting #Logistics
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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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