Ronen Schwartz

Ronen Schwartz

Strata 2015 – Making Data Work for Everyone with Cloud Integration, Cloud Data Management and Cloud Machine Learning

Making Data Work for Everyone with Cloud Integration, Cloud Data Management and Cloud Machine Learning

Making Data Work for Everyone with Cloud

Are you ready to answer “Yes” to the questions:

a) “Are you Cloud Ready?”
b) “Are you Machine Learning Ready?”

I meet with hundreds of Informatica Cloud customers and prospects every year. While they are investing in Cloud, and seeing the benefits, they also know that there is more innovation out there. They’re asking me, what’s next for Cloud? And specifically, what’s next for Informatica in regards to Cloud Data Integration and Cloud Data Management? I’ll share more about my response throughout this blog post.

The spotlight will be on Big Data and Cloud at the Strata + Hadoop World conference taking place in Silicon Valley from February 17-20 with the theme  “Make Data Work”. I want to focus this blog post on two topics related to making data work and business insights:

  • How existing cloud technologies, innovations and partnerships can help you get ready for the new era in cloud analytics.
  • How you can make data work in new and advanced ways for every user in your company.

Today, Informatica is announcing the availability of its Cloud Integration Secure Agent on Microsoft Azure and Linux Virtual Machines as well as an Informatica Cloud Connector for Microsoft Azure Storage. Users of Azure data services such as Azure HDInsight, Azure Machine Learning and Azure Data Factory can make their data work with access to the broadest set of data sources including on-premises applications, databases, cloud applications and social data. Read more from Microsoft about their news at Strata, including their relationship with Informatica, here.

“Informatica, a leader in data integration, provides a key solution with its Cloud Integration Secure Agent on Azure,” said Joseph Sirosh, Corporate Vice President, Machine Learning, Microsoft. “Today’s companies are looking to gain a competitive advantage by deriving key business insights from their largest and most complex data sets. With this collaboration, Microsoft Azure and Informatica Cloud provide a comprehensive portfolio of data services that deliver a broad set of advanced cloud analytics use cases for businesses in every industry.”

Even more exciting is how quickly any user can deploy a broad spectrum of data services for cloud analytics projects. The fully-managed cloud service for building predictive analytics solutions from Azure and the wizard-based, self-service cloud integration and data management user experience of Informatica Cloud helps overcome the challenges most users have in making their data work effectively and efficiently for analytics use cases.

The new solution enables companies to bring in data from multiple sources for use in Azure data services including Azure HDInsight, Azure Machine Learning, Azure Data Factory and others – for advanced analytics.

The broad availability of Azure data services, and Azure Machine Learning in particular, is a game changer for startups and large enterprises. Startups can now access cloud-based advanced analytics with minimal cost and complexity and large businesses can use scalable cloud analytics and machine learning models to generate faster and more accurate insights from their Big Data sources.

Success in using machine learning requires not only great analytics models, but also an end-to-end cloud integration and data management capability that brings in a wide breadth of data sources, ensures that data quality and data views match the requirements for machine learning modeling, and an ease of use that facilitates speed of iteration while providing high-performance and scalable data processing.

For example, the Informatica Cloud solution on Azure is designed to deliver on these critical requirements in a complementary approach and support advanced analytics and machine learning use cases that provide customers with key business insights from their largest and most complex data sets.

Using the Informatica Cloud solution on Azure connector with Informatica Cloud Data Integration enables optimized read-write capabilities for data to blobs in Azure Storage. Customers can use Azure Storage objects as sources, lookups, and targets in data synchronization tasks and advanced mapping configuration tasks for efficient data management using Informatica’s industry leading cloud integration solution.

As Informatica fulfills the promise of “making great data ready to use” to our 5,500 customers globally, we continue to form strategic partnerships and develop next-generation solutions to stay one step ahead of the market with our Cloud offerings.

My goal in 2015 is to help each of our customers say that they are Cloud Ready! And collaborating with solutions such as Azure ensures that our joint customers are also Machine Learning Ready!

To learn more, try our free Informatica Cloud trial for Microsoft Azure data services.

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Informatica’s Inclusion on the “R&D All-Stars: CNBC RQ 50″ Was No Accident

CNBC RQ 50Earlier this month, CNBC.com published its first ever R&D All-Stars: CNBC RQ 50, ranking the top 50 public companies by return on research and development investment. Coming in the top ten, and the first pure software play was Informatica, mentioned as first among great software companies like Google, Amazon, and Salesforce. CNBC.com is referencing a companion article by David Spiegel – Boring stocks that generate R&D heat-and profits. The article made an excellent point: When R&D productivity links R&D spending to corporate revenue growth and market value, it is a better gauge of the productivity of that spending.

Unlike other R&D lists or rankings, the RQ50 was less concerned with pure dollars than what the company actually did with it. The RQ50 measures increase in revenue as it relates to increase in R&D expenditures. Its methodology was provided by Professor Anne Marie Knott, of Washington University in St. Louis, who tracks and studies corporate R&D investment, and has found that the companies that regularly turn R&D into income typically place innovation at the forefront of the corporate mission and have a structure and culture that support it.

Informatica is on the list because its revenue gains between 2006 and 2013 correlate directly with its increased R&D investment over the same period. While the list specifically cites the 2013 figures, the result is due to a systematic and long-term strategic initiative to place innovation at the core of our business plan.

Informatica has innovated broadly across its product spectrum. I can personally speak to one area where it has invested smartly and made significant gains – Informatica Cloud. Informatica decided to make its initial investment in the cloud in 2006 and was early in the market with regards to cloud integration. In fact, back in 2006, very few of today’s well-known SaaS companies were even publicly traded. The most popular SaaS app today, Salesforce.com had revenues of just $309 million in FY2006 compared with over $4 billion in FY2014. Amazon EC2, one of the core services of Amazon Web Services (AWS) itself had only been announced in that year. Apart from EC2, Amazon only had six other services in 2006. In 2014, that number has ballooned to over 30.

In his article about the RQ50, Spiegel talks about how the companies on the list aren’t just listening to what customers want or need now. They’re also challenging themselves to come up with the things the market can use two or ten years into the future. In 2006, Informatica took the same approach with its initial investment in cloud integration.

For us, it started with an observation and then a commitment to the belief that we were at an inflection point with the cloud, and on the cusp of what was going to become a true megatrend that represented a huge opportunity for the integration industry. Informatica assembled a small, agile group made up of strong leaders with varying skills and experience pulled from different areas—sales, engineering, and product management — throughout the company. It also meant throwing away the traditional measures of success and identifying new and more appropriate metrics to benchmark our progress. And finally, it included partnering with like-minded companies like Salesforce and NetSuite initially, and later on with Amazon, and taking our core strength – on-premise data integration technology – and pivoting it into a new direction.

The result was the first iteration of the Informatica Cloud. It leveraged the fruit of our R&D investment – the Vibe Virtual Data Machine – to provide SaaS administrators and line of business IT with the ability to perform lightweight cloud integrations between their on-premise and cloud applications without the involvement of an integration developer. Subsequent work and innovation have continued along the same path, adding tools like drag-and-drop design interfaces and mapping wizards, with the end goal of giving line-of-business (LOB) IT, cloud application administrators and citizen integrators a single platform to perform all the integration patterns they require, on their timeline. Informatica Cloud has consistently delivered 2-3 releases every year, and is now already on Release 20. From originally starting out with Data Replication for Salesforce, the Cloud team added bigger and better functionality such as developing connectivity for over 100 applications and data protocols, opening up our integration services through REST APIs, going beyond integration by incorporating cloud master data management and cloud test data management capabilities, and most recently announcing optimized batch and real-time cloud integration under a single unified platform.

And it goes on to this day, with investments in new innovations and directions, like Informatica Project Springbok. With Project Springbok, we’re duplicating what we did with Informatica Cloud but this time for citizen integrators. We’re using our vast experiences working with customers and building cutting-edge technology IP over the last 20 years and enabling citizen integrators to harmonize data faster for better insights (and hopefully, less late nights writing spreadsheet formulas). What we do after Project Springbok is anyone’s guess, but wherever that is, it will be sure to put us on lists like the RQ 50 for some time to come.

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