Judy Ko

Judy Ko
An expert on the topics of enterprise data integration, data governance and integration competency centers, Judy Ko is responsible for product marketing for the Informatica Platform. Ko focuses on understanding the key business priorities of Informatica’s customers, and how those are supported by the capabilities of the Informatica Platform, including Data Integration, Cloud Data Integration, B2B Data Exchange, Information Lifecycle Management, Complex Event Processing, Data Quality and Master Data Management.

Previously, Ko was vice president of product management and marketing at Informatica, and led the team responsible for defining, managing and marketing Informatica’s core data integration products. Ko’s team was also responsible for driving solutions for GRC (governance, risk management and compliance), data warehousing, master data management and data migration.

Prior to joining Informatica, Ko was Director of Financial Services Solutions Marketing at BEA Systems. At BEA, Ko drove the multi-channel delivery solution initiative for banking. Previously Ko spent time at Calico Commerce, and at Mercer Management Consulting. Ko holds a bachelor’s degree in engineering and management systems from Princeton University and a master’s degree in business administration from Harvard Business School.

Enterprise Applications Myth #3: Big Data is Just Another New Data Source

Myth: “Big data” is just another type of data, and IT will figure out how to get it into our enterprise applications. Fact: There is a whole new world of data out there that is waiting to be tapped for the business—data from web activity, social media interactions, mobile devices, sensors, tags—you name it. However, to take advantage of these new business opportunities, you’re going to have to make some changes in your approach.

Enterprise Applications Myth #2: You Only Need to Focus on the Application in Any Modernization Initiative

Myth #2: When embarking on an application modernization initiative, you really only need to focus on the application and making sure that it aligns with your business processes. Fact: Managing and migrating data is a top priority in any application modernization initiative, and neglecting the data can introduce huge risk to the project.

Enterprise Applications Myth #1: Apps and Data Live and Die Together

Myth: Enterprise applications and the data in them live and die together. Fact: Applications and data have different lifecycles. Sometimes the life of the data is shorter than the application. Sometimes it is longer. Either way, the friction between the two raises the cost and complexity of sustaining your applications. To get this under control, you have to have a separate approach for managing the data vs. managing the application.

Enterprise Applications: Cost Sink or Value Add?

Most IT shops strive to reduce the percentage of budget and time spent on merely sustaining applications, because there is no incremental value-add to the business. By investing in a proper, proactive data management strategy that cuts across individual application silos, enterprises can significantly lower the costs of sustaining applications. This then frees up dollars and people to focus on enhancing and transforming applications, which is where IT actually makes a positive impact on the business.

Learnings And Surprises From Informatica World

A lot of things have changed since the last Informatica World in 2008 with how many of our customers are thinking about data integration and information management. Data governance is growing in importance. Many companies are now focused on addressing enterprise data management more holistically. Cloud is now mainstream (whether you like it or not.) Hadoop is still emerging, but it’s got real potential.