Systems | Development | Analytics | API | Testing

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.

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.

Forget IT; Think Business Led Data Governance Initiative

A good data governance strategy should benefit all users of your organization’s data—not just those with technical responsibility for it. Recent years have seen the increasing importance of data as a strategic asset, as several companies have used it to unlock and create value. Increasingly, companies are turning to data governance programs as a foundational pillar of their data strategy (like data mesh) to improve their data sets’ quality, consistency, usability, and security.

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.

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.

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.