Whether you are trying to establish a new niche, carve out a bigger share of a mature and competitive market, or increase the value of your existing products or services, data can be used to gain a competitive advantage and increase your revenue. In this article, we will establish what data monetization is, how it translates to business use cases, showcase how it impacts business performance, and offer guidance on how to start monetizing data today.

In the 2018 WWDC talk, Tim Cook said, “We’re also happy to announce that this week we’re going to achieve another huge milestone. The money that developers have earned through the App Store will top $100 billion.” He further announced, “There are now 20 million registered developers on the App Store.” Although, this number might be way out of the ballpark considering that 2016 statistics showed just 2.8 million iOS application developers.

Organizations today are expected to fully utilize their data to speed decisions and drive business value. Modern analytics can help.

Today, we’re excited to announce that DataFlow Functions (DFF), a feature within Cloudera DataFlow for the Public Cloud, is now generally available for AWS, Microsoft Azure, and Google Cloud Platform. DFF provides an efficient, cost optimized, scalable way to run NiFi flows in a completely serverless fashion. This is the first complete no-code, no-ops development experience for functions, allowing users to save time and resources.

Domino’s Pizza, one of the world’s top restaurant brands, already knows how to translate data into great customer experiences and stronger sales with Talend. Over the past five years, the company has used Talend to integrate 100’s data sources into a single source of customer information — and has harnessed that data to improve everything from personalized promotions to logistics to financial forecasting. The latest ingredient to their success?

Developers already love Fivetran’s docs. Our new API reference gives them even more to love.

“What should you and your business focus on when trying to create better customer journeys and beat competition?” That was the question we asked Countly data captains (also known as Countly customers) when trying to determine how well they collect customer experience metrics and how well they were using that data to make data-driven decisions.

Keeping track of your sales team’s numbers and metrics can be tedious and time-consuming. If you’re a small team with limited resources or just looking for more flexibility in your data management, Google Sheets can be a great place to host your sales data. Spreadsheets are customizable, scalable, and easily accessible.

Cloudera DataFlow for the Public Cloud (CDF-PC) is a cloud-native service for Apache NiFi within the Cloudera Data Platform (CDP). CDF-PC enables organizations to take control of their data flows and eliminate ingestion silos by allowing developers to connect to any data source anywhere with any structure, process it, and deliver to any destination using a low-code authoring experience.

Charting libraries are in great demand, and their creation and use are becoming increasingly popular in languages such as JavaScript. As evidence, several JavaScript charting libraries are available, both commercial and open-source, with a wide range of functionalities to meet the demands of users. But how can a developer make an informed decision and choose the best JavaScript charting library? It's a difficult question, but we're here to assist!