Tag Archives: CIO
Data scientist may be the hot job of 2013, but many data professionals report they are already doing much of the work that would be defined as the data scientist role. They just aren’t calling themselves data scientists – at least not yet.
In a new survey of 199 data managers I conducted as part of my work with Unisphere Research and Information Today, Inc., we found that the traits of data scientists – individuals whose backgrounds include IT and programming; math and statistics; and a willingness to look at things differently—are already seen within today’s organizations, in the day to day work performed by database administrators, analysts, managers and consultants. The survey was conducted among members of the Independent Oracle Users Group. (more…)
Data volumes are exploding. We see it all around us. The problem is that too much data can have a very negative impact on user productivity. Think about how long it takes to sift through emails after returning from vacation? Consider how long it takes to complete a purchase on an Ecommerce sight on Black Friday? The more data, the longer any of these processes take and the more time spent combing through more and more data. Informatica has been successfully working with Symantec and our customers through our partnership to help them find ways to control the impact of ‘too much data’. We are helping them to define projects that improve their ability to meet SLAs and application performance, reduce costs and mitigate any compliance risks – all while IT budgets remain relatively flat. (more…)
Informatica was listed as a leader in the industry’s first Gartner Magic Quadrant for Data Masking Technology. Finally, the data masking market gets a main stage role in one of the fastest growing enterprise software markets – data security. With the incredible explosion of data and the resulting number of places our personal information exists in the cybersphere, this confirmation is desperately needed as we enter into 2013. (more…)
Right before Christmas, I was delighted to read about the proposed merger between the New York Stock Exchange and Intercontinental Exchange. ICE and NYSE have been customers that we on the Informatica Ultra Messaging team have been working with for several years. NYSE Technologies leveraged our high performance messaging as part of their direct feeds market data solution that lowered latencies across dozens of Wall Street firms around the globe. (more…)
In my last blog, I discussed five areas of considerations for your information management agenda with Big Data. In the next three blogs, I will discuss how three secular trends, namely, Mobile, Cloud and Social are driving the evolution of Big Data. In this blog, part four of the series, let’s explore “Mobile”. There are many reasons why people are fascinated by the impact of mobility. According to Applied Mobility of Tech Trends 2011 by Deloitte, consumer interest in smartphones, tablets and untraditional connected devices such as set-top boxes, telematics, video games and embedded appliances is growing faster than any other product segment, with a projected growth of 36%. This staggering growth in mobility is driving the production and consumption of Big Data in three ways:
- People and devices are generating far more transaction data than before as it is cheaper and simpler to complete any transactions – buying books in a cafe with your iPad or completing banking transactions with a BlackBerry. Transaction data growth is accelerating as more enterprises are adopting smartphones, tablets and other mobile devices, following the consumer trend. (more…)
CIOs are no longer expected to be mere IT housekeepers who keep the lights on in the data center. More and more, they’re expected to help drive business innovation and transformation, function as strategic partners with the business and materially contribute to bottom-line performance.
One critical area in which CIOs can make a major business impact is customer data integration. As we often hear from Informatica customers, the problem of bad customer data is rarely limited to a single application or line of business. In fact, it’s a multitude of systems that has caused the problem in the first place.