“Data is the new oil,” said Andreas Weigend, social data guru and former chief scientist at Amazon.com. “Oil needs to be refined before it can be useful.” Just as the global industrial economy runs on oil, the information economy runs on data that has been refined and analyzed for effective decision making, efficient business operations, and maximum business impact.

The success of any analytics initiative depends on how much impact it brings to the business. It’s not about collecting raw data. It’s about turning it into actionable insights that drive increases in revenue, efficiency, and cost savings. 

But it takes a lot of work to refine raw data into something useful. You have to access and ingest, parse and prepare, discover and profile, transform and cleanse, and extract and deliver data of all types. Anytime. Anywhere. In fact, 80 percent of a data scientist’s or data analyst’s time is typically spent preparing the data for analysis. Not in the analysis itself.

This problem is both solved and further exacerbated by the recent waves of innovation in the analytics space. The last several years have seen the rise of many new analytical computing platforms, ranging from analytics appliances to in-memory databases to agile business intelligence tools to Hadoop. These next-generation analytics solutions have evolved to address an ever-growing variety of data and an ever-widening range of analytics problems.

Given all this, how can you automate the work of data preparation so that you can get down to the business of analysis and decision making? How can you take advantage of all the technology innovations in big data analytics, without having to retrain your entire staff? How can you quickly move from a pilot project to production?

You need an information platform that supports all styles of analytics, including the latest flavors of big data technologies. A platform that understands the differences in the underlying analytical computing platforms and languages, so you don’t have to. An information platform that is powered by the Vibe virtual data machine.

That platform is the Informatica Platform. With Informatica, you can tap into all types of data, rapidly discover insights, and innovate faster in the age of big data.