Category Archives: Vertical
How Do You Handle the Recent Storage Shortage?
Gartner hosted a webinar on January 10, 2012: Gartner Worldwide IT Spending Forecast. One of the topics covered was industry IT spend for 2012.
In covering that topic they made a point of saying that due to severe flooding in Thailand, they expect storage to become in short supply (as much as a 29% global shortfall) through the end of 2012. It is expected that the price of storage/GB will increase as a result and supplies will fall short of demand. They recommended finding alternatives to purchasing storage to keep costs down. (more…)
What it Takes to Be a Leader in Data Virtualization!
If you haven’t already, I think you should read The Forrester Wave™: Data Virtualization, Q1 2012. For several reasons – one, to truly understand the space, and two, to understand the critical capabilities required to be a solution that solves real data integration problems.
At the very outset, let’s clearly define Data Virtualization. Simply put, Data Virtualization is foundational to Data Integration. It enables fast and direct access to the critical data and reports that the business needs and trusts. It is not to be confused with simple, traditional Data Federation. Instead, think of it as a superset which must complement existing data architectures to support BI agility, MDM and SOA. (more…)
Reading The Tea Leaves: Predictions For Data Quality In 2012
Following up from my previous post on 2011 reflections, it’s now time to take a look at the year ahead and consider what key trends will likely impact the world of data quality as we know it. As I mentioned in my previous post, we saw continued interest in data quality across all industries and I expect that trend to only continue to pick up steam in 2012. Here are three areas in particular that I foresee will rise to the surface: (more…)
Counterparty Data and Its Challenges
In the first of two videos, Peter Ku, Director of Financial Services Solutions Marketing, Informatica, talks about counterparty data and its challenges.
Specifically, he answers the following questions:
- What is counterparty data and why is it important?
- What are some of the challenges that the global banking industry is facing with their counterparty information?
Addressing Data Volume Growth With Better Efficiency
Friday August 5, 2011 set new records for trading volume around the world. According to this FT.com story: “The amount of data generated by the day’s trading in US futures and equities alone saw over 130m trades on Friday, generating 950 gigabytes of data, according to Nanex, a market data provider.” In London, “some exchanges with older technology could not cope”. And so Big Data strikes again.
But market data volume has been exploding for months, even years. This is just one more chapter in a long story, illustrating the types of problems that a business could encounter if they neglect their technical infrastructure in the face of data volume growth. (more…)
Cloud-Enabled MDM Comes of Age: Cognizant Delivers First SaaS Solution Built on Informatica MDM
The industry’s first cloud-based solution for master data management (MDM) has arrived, signaling the emergence of a new architectural model for MDM that can offer rapid time to deployment without substantial capital expenditures.
Cognizant, a leading provider of IT and consulting services, is rolling out a solution called Cognizant MDM-in-the-Cloud for Life Sciences. Built using Informatica MDM at the core technology, it’s designed to help pharmaceutical and medical device companies to realize a complete, accurate view of monetary gifts and in-kind transfers made to physicians, including gifts, entertainment, consulting fees, meals, research funding, and more.
Harnessing Social Media With Informatica
Improving sales and service through customer centricity requires listening to and understanding your customers. And where are customers speaking these days?
You guessed it—social media. Just think about it. Each day, customers tweet 50 million times on Twitter and update their Facebook status 60 million times. Add in LinkedIn and user reviews and YouTube and blog commentary and more and you’ve got a customer data gold mine and a new frontier for marketing.
Welcome To Informatica World 2010
Welcome To Informatica World 2010
Our annual gathering takes place this week in Washington D.C. We have a fabulous agenda with many significant keynotes, together with a packed agenda of breakout sessions – including over 40 presentations by you, our customers. An enormous amount has happened since we last gathered two years ago – remember last year when we were in the middle of the great recession when we held our “Deep Dive” preview of Informatica 9 to our closest customers and partners under NDA?
We followed the Deep Dive with the launch of Informatica 9 in November last year, followed by many new releases of our cloud service and other products within our Platform. We have deployed new communities and launched the Informatica Marketplace. We extended our Platform into Complex Event Processing, Master Data Management and Ultra Messaging. We have been recognized by Gartner as a leader in their magic quadrants for Data Integration, Data Quality and Customer Master Data Management. Forrester have positioned us as a leader in “Information-as-a-Service” and Data Quality and for the fifth consecutive year we are ranked number 1 in customer satisfaction. (more…)
Data Virtualization Series Part 1 – What is it?
We have all heard of data federation and of late we have also been hearing how simple, traditional data federation often gets passed off as data virtualization. Let’s get back to basics and take a hard look at what the real need is.
Data federation is not a new concept. When it first arrived on the scene many years ago, technologists got excited as it offered a way to quickly access numerous disparate data sources without physically moving data. Years passed and the term kept appearing in research paper after research paper – but what did not happen was the anticipated widespread adoption. TDWI’s Wayne Eckerson does a great job at tracking the evolution of data federation in his recent webinar and blog. Simple, traditional data federation does one thing and only one thing well – it creates a virtual view across heterogeneous data sources, delivering data in real-time, typically to reporting tools and composite applications. In its very simplicity lay its downfall.
How Retailers Can Use MDM To Better Serve The Multichannel Customer
Retailers have long recognized the value of a single customer view, but the emergence of multichannel research and shopping has made achieving that ideal more difficult. Today’s consumers hopscotch across online, in-store, call center, social media, mobile, and other channels—how can retailers keep up?
Acquire & Retain Customers with Trusted & Complete Customer Data
If you have a single view of your retail customer, you can assess channel buying preferences and tailor marketing accordingly. You can deliver the personalized and consistent experience that discriminating consumers expect across all touchpoints. And you can take advantage of the unique cross-sell and up-sell opportunities that multichannel environments offer.
For instance, if Jane buys a $2,000 leather couch in a store and you can match her information to the email address she registered three months earlier at your Web site, you’re in a great position to pitch matching pillows with a personalized email.
But, as outlined in a new Informatica executive brief, siloed data systems for point of sale (POS), e-commerce, call centers, and more make it difficult for retailers to achieve a single customer view. The brief includes survey results from a leading research organization, including the following statistics:
- 92 percent of retailers don’t integrate customer data from all channels
- 68 percent of companies cite improving customer data integration as a top priority for 2010
- Less than 25 percent of retailers extend personalized loyalty programs across all channels
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