Snowflake optimization: How to achieve ROI with data quality management

The new demands of digital-first strategies have pushed many companies to adopt new data platforms in order to keep operations running smoothly. Snowflake is one of the most popular choices in the market, but many users are only just scratching the surface of its potential. Despite the best of intentions, McKinsey reports that fewer than 30% of digital transformation strategies are successfully implemented. Without the right support in place, a majority of companies are struggling to get a return on their technical investment. This doesn’t need to be the case — and certainly not with your Snowflake warehouse. Data quality management (DQM) implementation can be tricky but there are a few key ways to optimize the rollout. This webinar presents a masterclass in Snowflake optimization, providing a deep dive into: • The most common mistakes companies are making with DQM in Snowflake • How to take your implementation from functional to optimal • The power of compatible services: Qualities of the perfect partner for Snowflake customers • And more