Category Archives: Informatica 9.1
Informatica 9.1 – Big Data Opportunities with Partners
By now you’ve probably heard the news on Informatica 9.1 , our latest release that debuts new capabilities for integrating with and managing “Big Data.” I’ve worked with many of the Informatica partners expressing support (see Informatica 9.1 and Partners) for this release and see a wide variety of new potential use cases for joint customers trying to harness a new generation of data sources while trying to deal with the massive volumes growing into existing applications. (more…)
Big Data Industry Analyst Coverage Round-Up!
Thanks to all who attended our online launch event and visited our Website to learn about Informatica 9.1 for Big Data last week. We are pleased to learn about your interest, plans and questions about Big Data triggered by our announcement. We pre-briefed a number of industry analysts who track the Big Data-related market actions to share our strategy and gain their insights. Check out the short round-up of their coverage and mentions of Informatica last week. Check back for more articles and blogs in the coming weeks and months including customer interviews. Stay tuned! (more…)
Why Is Integration A Good Place To Begin Your IT Self Service Journey?
There is no question that self-service information technology is a growing trend. John Haddad made a compelling case for the inescapable trend in his article No More Waiting Thanks To Self Service Data Integration. So if IT self-service is a fait-accompli, what can you do to get started? I suggest that integration capabilities are the best place to start for three reasons. I’ll save the most compelling reason to the end. (more…)
Video: How Does Big Data Integration Benefit The Marketing Organization
Chris Boorman, chief marketing officer, Informatica, talks about Big Data and how Informatica empowers the data-centric enterprise.
Listen to Chris as he answers the following questions:
1) How would you define Big Data?
2) What role does Informatica play in Big Data with the release of Informatica 9.1?
3) How does Informatica empower the data-centric enterprise?
4) How does Informatica’s Big Data offering differ from other Big Data offerings?
5) As a CMO, how do you see effective Big Data Integration benefiting a company’s marketing organization?
Video: Informatica 9.1 Helps Manage The Explosion Of Big Data
Ash Kulkarni, general manager, Enterprise Data Integration discusses:
1) What does Big Data mean to Informatica?
2) How is Informatica 9.1 is helping customers tackle Big Data challenges?
3) What data integration offerings within Informatica 9.1 are customers most excited about?
4) Predictions for the future of Big Data?
Video: Three Ways 9.1 Delivers Trustworthy And Authoritative Data With Data Quality And MDM
Oliver Claude talks about Informatica 9.1, Big Data and Trustworthy & Authoritative Data.
Customer Analytics IS Big Data
Guest Blog by Michelle de Haaff, CMO, Attensity
It’s great to be guest blogging on the Informatica site this week. The topic: BIG DATA in the Enterprise and specifically the growth of customer data fueled by social media that creates a very large treasure trove of insights for businesses.
Informatica made a very exciting announcement yesterday about their Informatica 9.1 BIG DATA offering and we were proud to be a part of it. Attensity made its own announcement on BIG DATA earlier this year as well. It’s great to partner with the world leader in data integration technology. Why? A big question that many of both Attensity and Informatica customers ask is how they can bring unstructured data, prose or text that are in emails, survey verbatims, documents, social media conversations, service and repair notes and more into a data analytics platform, combined with structured data for analytics. (more…)
No More Waiting Thanks To Self Service Data Integration
Businesses can no longer afford IT to be a bottleneck in delivering authoritative and trustworthy information to the business. The business needs to be empowered to do more on their own through self-service. Self-service is the approach retail companies took years ago to eliminate wait times, reduce resource costs, and improve customer satisfaction. Consumers use self-service gas stations to pump their own gas, self-service checkout aisles to pay for groceries, self-service web sites to book travel, and more recently self-service using mobile devices to find the nearest restaurant or purchase tickets for a movie. Yet, businesses are still forced to wait months to access valuable information. And that wait often costs the business more than all of IT combined. (more…)
Big Data Unleashed Part 1: Rethinking What Data-Centric Means To You
Business enthusiasm for “Big Data” is at an all-time high. Organizations are racing to answer questions about their customers, products, partners and everything else impacting their business that can be extracted from data. Are we optimizing our marketing campaigns based on our customers’ Twitter and Facebook updates? Who has the highest influence in our Web community? Can we identify customer issues from call detail records? How can we reduce manufacturing defects based on sensor data (and, oh by the way, while we are at it, can we even test the “testing equipment”?) What can I learn about product defects from sensor data throughout the manufacturing lifecycles? Informatica is on the journey to embrace data as an asset for innovation, growth and efficiency, cutting across verticals to address the questions above. To take a step further, we are announcing Informatica 9.1 for Big Data to empower the data-centric enterprise.
In 2011, we have seen a sharp rise in inquiries and interest in Big Data from our customers and partners alike. There are two sides to the same coin. (more…)
3 Ways Informatica 9.1 Delivers Authoritative And Trustworthy Data
One of the key themes of the Informatica 9.1 release is Authoritative and Trustworthy data. To set the stage, consider the imperatives that organizations are driving such as becoming more customer-centric to drive top line revenue, or optimize just-in-time procurement to drive costs out of the business, or comply with new Dodd Frank regulations. Not only do all these imperatives require organizations to be able to deliver business value faster and faster, but they span the organization across Lines of Business and geographies. In particular they require reliable global business processes and analytics to succeed, and that means that they need trusted data. For example, Procure-to-Pay processes and decisions rely on data across product data, vendor data, and financial data, and that data has to be trusted, meaning that it’s essential to have consistent, correct, and complete vendor price and performance data in order to determine preferred vendors and negotiate better contracts. (more…)
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