Systems | Development | Analytics | API | Testing

January 2023

A Look At New Products Recently Introduced By Snowflake

In this episode of “Data Cloud Now,” Gautam Srinivasan, DCN's India Correspondent chats with Michael Kilberry, Senior Director and Industry Field CTO at Snowflake, about some of the newest product announcements from Snowflake, including Unistore, which brings analytical and transactional data together in a single platform. They also discuss some of the unique characteristics and data needs of businesses in India.

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.

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.”

Snowflake Workloads Explained: Snowlake for Data Mesh

Snowflake’s cross-cloud platform enables domain teams to seamlessly collaborate and share data products across clouds and regions without copying or ETL. Domain teams can work with tools and languages of their choice, and scale resources independently with Snowflake’s elastic performance engine. With Snowflake, organizations can strike the right balance between domain ownership and governance standards.

Manufacturing Data Ingestion into Snowflake

Accessing data from the manufacturing shop floor is one of the key topics of interest with the majority of cloud platform vendors due to the pace of Industry 4.0 adoption. Industry 4.0, also known as the Fourth Industrial Revolution, refers to the emerging trend of technological transformation in manufacturing and related industries.

11 Predictions Data Experts Have for the Year Ahead

It’s 2023 and with the new year comes an opportunity to drive innovation, growth, and digital transformation with data in the face of ongoing economic turbulence. If Snowflake’s report, How to Win in Today’s Data Economy is any indication, data-driven organizations are poised to emerge as the winners of the year with 77% Data Economy Leaders, which is only 6% of those surveyed, experiencing annual revenue growth versus 36% of Data Economy Laggards, the lowest-performing survey group.

Fast-Growing Startups Thrive On Snowflake

Startup companies who build their network infrastructure around Snowflake find they not only can be better at using data to deliver a superior customer experience, but they can easily scale their business when they start to achieve explosive growth. In this episode of “Data Cloud Now,” Gautam Srinivasan, Snowflake India Correspondent chats Ben Gotfredson, Head of Startup Programs at Snowflake, talks about all the ways Snowflake energizes startup companies, as well as the huge business opportunity for those who want to build an app directly on Snowflake.

Why Column-Aware Metadata Is Key to Automating Data Transformations

Data, data, data. It does seem we are not only surrounded by talk about data, but by the actual data itself. We are collecting data from every nook and cranny of the universe (literally!). IoT devices in every industry; geolocation information on our phones, watches, cars, and every other mobile device; every website or app we access—all are collecting data. In order to derive value from this avalanche of data, we have to get more agile when it comes to preparing the data for consumption.

Scania Uses Data Mesh and Snowflake's Data Cloud to Drive Transport Sustainability

Scania is at the forefront of a more autonomous, connected, electric future for the transportation industry. Find out why its Head of Data and Information Management uses data mesh—and Snowflake—to make it a reality. Scania is a global truck, bus, and industrial engine manufacturer and offers an extensive range of related services so its customers can focus on their core business.

Data Integration & Modeling: The Unsung Heroes of the Marketing Data Stack?

Marketing data integration is the process of combining marketing data from different sources to create a unified and consistent view. If you’re running marketing campaigns on multiple platforms—Facebook, Instagram, TikTok, email—you need marketing data integration. Why? Because being able to assimilate data from different channels and across multiple marketing touchpoints gives you visibility into the overall impact of a campaign, event, or another marketing effort.

Snowflake Workloads Explained: Applications

Snowflake’s platform powers applications with virtually unlimited performance, concurrency, and scale. Delivered as a service, Snowflake handles the infrastructure complexity, so you can focus on innovating. With Snowflake for Applications, enjoy near-unlimited scalability and concurrency and accelerated time-to-market with no SRE/DevOps burden.

Driving Data, Delivering Value: Data Leaders to Watch in 2023

The Chief Data Officer is arguably one of the most important roles at a company, particularly those that aspire to be data-driven. CDO appointments and the elevation of data leaders have accelerated in recent years, and the role has morphed as perceptions of data have evolved. Responsibilities span strategy and execution, people and processes, and the technology needed to deliver on the promise of data.

Changing Consumer Behavior Transforms The Retail & CPG Industries

It’s no secret that consumer behavior and expectations changed dramatically during the two years of the COVID pandemic, changes that have disrupted supply chains and raised the marketing and customer service bar for retailers. In this episode of “Data Cloud Now,” host Gautam Srinivasan chats with Freddy Guard, Snowflake’s Head of Retail & CPG for North America, about those changes and how it has accelerated the demand for cloud-based, data-driven solutions to meet the challenges those changes have engendered.

How Fivetran Ensures That Data Moves Reliably Through Data Pipelines

Fivetran, the provider of connectors that feed data into data pipelines, has had a long-standing, symbiotic relationship with Snowflake. In this episode of “Data Cloud Now,” Gautam Srinivasan, Snowflake India Correspondent chats with TJ Chandler, Managing Director for the APAC Region at Fivetran, about that relationship and about Fivetran’s mission “to make access to data as simple and reliable as electricity.”

Snowflake Announces Intent to Acquire Myst

Snowflake customers leverage the Data Cloud to bring all their data together and capitalize on the near-infinite resources of the cloud. But how can this data be used to look ahead? How can we use yesterday’s evidence to plan for tomorrow? The answer—time series forecasting. Time series forecasting is one of the most applied data science techniques in business. It is used extensively in supply chain management, inventory planning, and finance.