Vibrant and dynamic digital-first telco M1, a subsidiary of Keppel Corporation, is focused on transforming telecommunications in Singapore. M1 provides a suite of services to more than 2 million customers and is Singapore’s first digital network operator. Data analytics have played an essential role in M1’s growth since the company launched commercial services in 1997.
In June, we announced that Java functions and the Snowpark API were available for preview in AWS. Today, we’re announcing a few additions to that preview: We’re expanding both where Snowpark is available as well as what you can do with it.
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.
