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Supercharging Six Sigma: How Querri Enhances Quality and Efficiency in Manufacturing

In the fast-paced world of manufacturing, precision and timing are crucial. Six Sigma's structured approach and Querri’s AI-powered insights can help companies achieve unmatched quality and efficiency. “I need it yesterday.” In the manufacturing world, the mantra “I need it yesterday” often comes to mind. Consistency is not just a goal—it's a necessity for any modern manufacturing company.

By Alex Mackey • 6 min read

November 6, 2024

#AI #DMAIC framework #Data Analytics

Tutorials

5 Steps to Create a Data Strategy for Small Businesses Without Breaking the Bank

This is a part 2 of the 3-part guest blog series by guest author Sarah Nell-Rodriquez, CEO of Be Data Lit, on helping small businesses grow and thrive with data. In part 1 of the series, we covered 5 Common Problems Small Businesses Face (And How Data Can Solve Them)

By Sarah Nell-Rodriquez • 9 min read

October 28, 2024

#Data Analytics #Education #How-To

Data Analytics Insights

Mastering Inventory Management: Essential Analyses To Optimize Stock Levels Using Querri

Unlock the secrets to efficient inventory management and learn how Querri can revolutionize your stock-level optimization. Understanding the Importance of Inventory Management Efficient inventory management is the backbone of any successful logistics operation. It ensures that you have the right products in the right quantities at the right time.

By Dave Ingram • 3 min read

October 16, 2024

#Data management #Inventory Management #Inventory Prediction

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

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

Data Analytics Insights

From Novice To Data Hero: Top Resources For Becoming A Citizen Data Scientist

It is estimated that 90% of the world's data was generated in the last two years alone (Sources: Statista, Bernard Marr & Co.) This figure has increased by an estimated 74x from just 2 zettabytes (2 bn GBs) in 2010 to 129 zettabytes (140 bn GBs) in 2023. Yes, that is a HUGE number!

By Neelam Chakrabarty • 7 min read

September 17, 2024

#Data Analytics

Data Analytics Insights

Guardians of AI: US and International Laws for AI and Data Privacy

How it all started The Cambridge Analytica scandal in 2018, where the personal data of millions of Facebook users was harvested without consent for political advertising, served as a major catalyst for data governance laws worldwide. This incident not only accelerated discussions around privacy in the U.S.

By Neelam Chakrabarty • 5 min read

September 9, 2024

#AI Laws #Data Privacy #GenAI

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

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

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

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

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

Showing 25 - 36 of 47 posts

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