David Talaga
David Talaga is Senior Product Marketing Manager for Data Governance at Talend. David has a rich and diverse marketing experience, including strategic, field, and product marketing roles in data-driven organizations. After graduating from EDHEC, David started his career as a Data analyst in the Healthcare Industry. In 2000, he joined Dassault Systèmes where he held several senior positions, notably heading up the technology partnership program in Augmented Reality and the strategic alliance with Microsoft. In 2006, David joined Microsoft as Product Marketer for the Software Engineering Product Line. In 2014, he became Marketing Manager for a new EdTech Offering at John Wiley and Sons before joining Talend as Product Marketing for Data Governance Solutions.
Contributions by David Talaga
Life Might Be Like a Box of Chocolates, But Your Data Strategy Shouldn't Be
"My momma always said, “Life was like a box of chocolates. You never know what you're gonna get.” Even if everyone’s life remains full of surprises, the truth is that what applied to Forrest Gump in the 1994 movie by Robert Zemeckis, shouldn’t apply to your data strategy. As you’re making the very first steps into your data strategy, you need to first know what’s inside your data. And this part is critical. To do READ ARTICLE
6 Dos and Don'ts of Data Governance - Part 2
In my last post, I gave you the first six Do’s and Don’ts of Data Governance and promised to bring together an additional six to consider when making a data governance plan for your organization. Here are six more dos and don'ts when building your data governance framework. Do: Consider the cloud on your route to trust READ ARTICLE 6 Dos and Don'ts of Data Governance - Part 1
Set clear expectations from the start One big mistake I see organizations make when starting out on their data governance journey is forgetting the rationale behind data. So don’t just govern to govern. Whether you need to minimize risks or maximize your benefits, link your data governance projects to clear and measurable outcomes. As data governance is a non-departmental init READ ARTICLE
5 Recipes for Not Becoming the Data Turkey of Your Organization
With Thanksgiving around the corner, it's a perfect moment to take a step back and get some recipes to be data savvy within your organization. Fortunately, Talend experts have a recipe for data success that will help you to stay above the fray. As companies become more data driven, being ahead of the curve will obviously be considered as a sign of curiosity and a way to differentiate. This is also a means for your company to anticipate incoming trends and thrive in a changing world wh READ ARTICLE
From Dust to Trust: How to Make Your Salesforce Data Better
Salesforce is like a goldmine. You own it but it’s up to you to extract gold out of it. Sound complicated? With Dreamforce in full swing, we are reminded that trusted data is the key to success for any organization. According to a Salesforce survey, “68% of sales professionals say it is absolutely critical or very important to have a single view of the customer across departments/roles. Yet, only 1 READ ARTICLE
Six Do's and Don'ts of Collaborative Data Management
Data Quality Projects are not technical projects anymore. They are becoming collaborative and team driven. As organizations strive to succeed their digital transformation, data professionals realize they need to work as teams with business operations as they are the ones who need better data to succeed their operations. Being in the cockpit, Chief Data Officers need to master some simple but useful Do’s and Don’t’s about running their Data Quality Projects. Let’s list READ ARTICLE
Making Data a Team Sport: Muscle your Data Quality by Challenging IT & Business to Work Together
Data Quality is often perceived as the solo task of a data engineer. As a matter of fact, nothing could be further from the truth. People close to the business are eager to work and resolve data related issues as they’re the first to be impacted by bad data. But they are often reluctant to update data as Data Quality apps are not really made for them or just because they are not allowed to use them. That’s one of the reasons bad data keeps increasing. According to Gartner, poor data quali READ ARTICLE