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Analytics

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.

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.

How-to configure SageMaker with GitHub Actions

GitHub Actions is a powerful continuous integration and continuous delivery (CI/CD) platform that allows developers to automate build, test, and deployment pipelines. Workflows automatically build and test code whenever an event occurs, such as a pull request or a deployment of merged pull requests to production. Best of all, you can use it without leaving the comfort of your own repository!

Overcoming 9 Data Governance Challenges

Data governance is the process of managing and protecting data throughout its lifecycle. It involves establishing policies, procedures, and standards for how data is collected, stored, used, and shared. This requires systems that are complex to be put in place by several stakeholders across the organization. Many organizations look at selecting the right software to implement a framework.

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.”

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.

NatWest Helps Customers Track Their Carbon Footprints with the Snowflake Data Cloud

With 19 million customers, NatWest is a household name in banking. We talked to David Charnley, the bank’s Head of Strategy and Transformation for Data and Analytics, to learn how Snowflake’s Data Cloud provides new insights into customer activities. NatWest collaborates across several areas of the business, including risk teams, retail teams, and ESG teams, to produce in-depth analysis of its customers’ carbon footprints. Using Snowflake, the bank combines risk data, customer identity data, transactions, and activity to paint a rich and detailed picture of how the actions customers take every day add to their emissions totals.