Tag Archives: twitter
What Do “Clouds” Look Like in China?
Current situation
After having lived in China since May 2012, I’ve been fortunate to have met with the leaders of most multinational software companies, leaders of local firms as well as industry analysts. My inspiration for this blog is based on a conversation I had with a senior leader at a leading “cloud” provider. (more…)
The Value of Social Media Data Integration
The rise of Big Data, and Big Data integration, is very much of interest to those who want to leverage the value of social media data. This is data from social networks such as LinkedIn, Facebook, Twitter, and many others, that not only show trending topics but very deep insight into the minds of those who may be purchasing products or services, market trends within a specific product space, and the ability to make fairly accurate predictions around changing attitudes of specific demographics that determine future behavior. (more…)
Social Media Monitoring with CEP, pt. 2: Context As Important As Sentiment
When I last wrote about social media monitoring, I made a case for using a technology like Complex Event Processing (“CEP”) to detect rapidly growing and geospatially-oriented social media mentions that can provide early warning detection for the public good (Social Media Monitoring for Early Warning of Public Safety Issues, Oct. 27, 2011).
A recent article by Chris Matyszczyk of CNET highlights the often conflicting and confusing nature of monitoring social media. A 26-year old British citizen, Leigh Van Bryan, gearing up for a holiday of partying in Los Angeles, California (USA), tweeted in British slang his intention to have a good time: “Free this week, for quick gossip/prep before I go and destroy America.” Since I’m not too far removed the culture of youth, I did take this to mean partying, cutting loose, having a good time (and other not-so-current definitions.) (more…)
Integrating Social Media with Enterprise Data
While watching a television re-run of House MD a few weeks ago, there was an American Express commercial featuring Tweets from customers who have made purchases with their reward program points. American Express has taken ‘listening’ to social media data to the next level and is using it to its own advantage. By giving their customers a forum to Tweet their experiences through socialcurrency.com, they are taking the social media era by storm. (more…)
Hadoop Enriches Data Science: Part 2 Of Hadoop Series
Enterprises use Hadoop in data-science applications that improve operational efficiency, grow revenues or reduce risk. Many of these data-intensive applications use Hadoop for log analysis, data mining, machine learning or image processing.
Commercial, open source or internally developed data-science applications have to tackle a lot of semi-structured, unstructured or raw data. They benefit from Hadoop’s combination of storage and processing in each data node spread across a cluster of cost-effective commodity hardware. Hadoop’s lack of fixed-schema works particularly well for answering ad-hoc queries and exploratory “what if” scenarios.
Hadoop-Enabled Data-Science Use Cases
Big Data Meets Sentiment Analysis!
So now you are interested in proposing Big Data projects, but are skeptical about getting business excited about yet another IT project? Somehow the business did not want to talk about data integration, data quality and master data management despite all the homework you did to propose a plan of action? Enter sentiment analysis. (more…)
Why MDM and Data Quality is Such a Big Deal for Big Data
Big Data is the confluence of three major technology trends hitting the industry right now: Big Transaction Data (describing the enormous growing volumes of transactional data within the enterprise), Big Interaction Data (describing new types of data such as Social Media data that are impacting the enterprise), and Big Data Processing (describing new ways of processing data such as Hadoop). If you can imagine companies having problems with business-critical master data such as customers, products, accounts, and locations at current data volumes, now that problem is compounded many-fold with the growth into Big Data. That’s where MDM and Data Quality come in as the fundamental solutions. So, why is MDM and Data Quality such a big deal for Big Data? (more…)
Global Customer Support TweetFest – You’re The Winners!
Last week the Global Customer Support team successfully completed a week long TweetFest Competition, using the official Support Twitter handle: @INFASupport, and the #INFATF hash tag.
Every day we posted a topic to which we solicited feedback from our followers and the results were amazing. We had a daily prize and then one grand prize at the end of seven days. We had approximately 100 responses from across the globe, as people participated in the discussions, mainly telling us what they wanted and expected from the Global Support team. Some of the topics we covered included suggestions and areas to improve around support, services and products. Here are the questions we asked: (more…)
Join our @INFASupport TweetFest
It’s not the survival of the fittest anymore, it’s not the survival of the strongest either, it IS however the most adaptable who survive.
At Informatica we are always innovating ways to serve our community better. In keeping pace with the adoption of social networking, the Global Customer Support team expanded some of our communication channels to include new options of contacting us through social media. There are a number of great social media tools, but perhaps the simplest one for business use is Twitter.
We launched our @INFASupport Twitter channel in mid-February and have used this as one way to support, reach out to and dialogue with our wider community since then. We have received a number of accolades from our followers/customers for all the useful information we have been sharing and also for giving them an easier and quick channel for communicating with us. (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.