Snowflake’s newly announced Media Data Cloud unites Snowflake’s powerful data sharing technology, the highest standards of privacy and governance, Snowflake- and partner-delivered solutions, and industry-specific data sets to help marketers, publishers, and advertising technology businesses succeed in the rapidly changing media and entertainment industry.
Organizations are more often running data and applications on multiple clouds, and that’s great. However, multi-cloud isn’t enough. To let loose the true power of data on your business, you must be cross-cloud. Cross-cloud means data moves easily between multiple public clouds without any additional work. It means never worrying about where your data and applications live or where your business and technical people are located.
Support for unstructured data is now in public preview! That’s one of many of the exciting announcements made in September, in addition to a new serverless tasks feature, expanded public cloud regions, enhanced business continuity capabilities, and several new providers on Snowflake Data Marketplace.
Consumption-based, aka usage-based, pricing is hardly new. Anyone with an electricity, gas, or water bill knows that the amount you pay each month varies depending on your usage. More recently, disruptive companies have pushed other industries (transportation, hospitality, communications, and insurance) to transform by providing usage-based products and services via software applications. As consumers, we see this all around us, when we hail an Uber or choose a short-term rental on AirBnB.
Account-based marketing, or ABM, is more often used as targeted demand generation—not one-to-one marketing. In a 2020 study of more than 300 organizations worldwide, Forrester found that “a significant number of respondents claimed they were using an ABM approach but weren’t doing what we would consider the basics of ABM, such as working with sales.”1 ABM isn’t just about assigning one siloed team the responsibility of targeting and revealing high-potential prospects.
Corporate finance must change. Across industries, an organization’s Finance team should shed light on what’s happening today with revenue and other financial indicators, while also predicting what the future may hold. And they must do the same for the entire organization. Until recently, it would have been impossible to meet these expectations. Excel-driven forecasting requires herculean efforts to wrangle data and report numbers by the end of each quarter.
During the process of turning data into insights, the most compelling data often comes with an added responsibility—the need to protect the people whose lives are caught up in that data. Plenty of data sets include sensitive information, and it’s the duty of every organization, down to each individual, to ensure that sensitive information is handled appropriately.
According to Harvard Business Review, South Korea is one of the leading countries in the world for technology innovation, and it’s among the top producers of new data. Technology is so ingrained in the national identity that it launched a “Digital New Deal” to lay the foundation for a digital economy that will facilitate growth and innovation, according to PR Newswire.
Snowflake is happy to announce the availability of the Object Tagging feature in public preview today! This feature makes it easier for enterprises to know and control their data by applying business context, such as tags that identify data objects as sensitive, PII, or belonging to a cost center. Object Tagging broadens Snowflake’s native data governance capabilities by adding to existing governance capabilities such as Snowflake’s Dynamic Data Masking and Row Access Policies.
Snowflake connected with David Coluccio from S&P Global Market Intelligence at the Snowflake Data Cloud Tour to hear how the company is using the Snowflake Data Cloud to curate massive amounts of data and provide seamless access for its clients. S&P Global’s foundation is rooted in providing essential insights to make more-informed decisions.
