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How New Lumada Industrial DataOps 5.1 Scales Industrial IoT Solutions

Data quality is fairly simple nomenclature to describe the state of the data being processed, analyzed, fed into AI, and more. But this modest little term belies an incredibly critical and complicated reality: that enterprises require the highest level of data quality possible in order to do everything from developing product and business strategies, and engaging with customers, to predicting the weather and finding the fastest delivery routes.

Automating reports: Picking the right tool saves time and reduces errors

As every data engineer and analyst can attest, generating reports is one of the most time-consuming and human error prone activities in the day-to-day life of data analysts. Luckily, with the development of technology, data reporting can now be done automatically, which saves you time and reduces mistakes. In this article, you will learn.

Data Maturity Model: How to Move Up the Ladder

Many businesses find it hard to use data to make business decisions, even though data is becoming an increasingly valuable asset for driving business growth. The data maturity model can help you identify the gaps in your data strategy that are stopping you from reaching a high level of data maturity. In this article, you will learn.

Streaming Data Analytics with SQL

Organizations that are trying to capture the value of their streaming data know that they need to transform that data into insights. Managing data in real time can be complex and expensive. SQL is an industry standard tool that gives business analysts the power to ask critical questions of your data without the need to hire additional specialized developers or translate business requirements into code.

How Retailers Optimize Merchandising and Assortment Planning Strategies with the Snowflake Retail Data Cloud

The lingering effects of the global pandemic are merging with inflation to create a perfect storm for retailers looking to find the right inventory stature for the seasons ahead. Companies are getting squeezed between rising supply chain costs and falling consumer confidence. To succeed in this volatile market, McKinsey suggests that retailers “accelerate decision-making tenfold.”