Systems | Development | Analytics | API | Testing

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.

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.”

Ably Terraform provider: provision & configure Ably programmatically

The Ably Terraform provider greatly simplifies the provisioning and managing of realtime architectures that include Ably via HashiCorp Terraform. Our growing reliance on realtime applications is highlighted both by the impact of incidents such as WhatApp’s latest outage, and by an exponential growth in use cases for realtime technology. This growth is spurred on by the fast adoption of dynamically orchestrated, microservice-oriented cloud architectures.

Examples of AI in Software Development

As artificial intelligence (AI) has shifted from a movie concept to a real-world phenomenon, it’s become clear that AI will change how we do business. Smart factories, connected shop floors, and supply chain automation are already commonplace, yet manufacturing and shipping are not the only sectors adopting AI and machine learning (ML). AI is also revolutionizing software development in surprising ways.

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.

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.