Tag Archives: Facebook
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…)
Focus on the business impacts of analytics, not methodologies or insights…. keep the business involved in all iterations of an analytics process or project…. and remember, it’s ultimately skilled people that drive successful analytics.
These “secrets” of leading corporate analytical gurus may seem like everyday common sense, but rarely are put into practice. To find out what it takes for organizations to succeed with data analytics, Wayne Eckerson, founder of the BI Leadership Forum, recently spoke with seven exemplary analytics leaders, and distilled their advice in his latest book, Secrets of Analytical Leaders: Insights from Information Insiders. (more…)
I’m sitting in the Taiwan airport on my way to Guangzhou. We just completed the Informatica World Tour in Hong Kong, Beijing and Taiwan, and I’ve had the opportunity to deliver the keynote presentation, Maximize Your Return on Big Data.
All of our audiences exceeded our expectations. We had 50% more attendees than planned. Why? Big data. It is a hot topic and everyone is trying to determine how to leverage big data in their enterprise to get a competitive advantage. At the event, I made the point – if you’re not trying to understand how to leverage big data in your enterprise, your successor will. Kitty Fok, the IDC China Country Manager, spoke after me. Her consistent comment was – “if your company isn’t looking to leverage big data, you will be out of business.” (more…)
This is my fourth blog in a series on the subject of “Informatica & Applications”. You can read my previous blogs here:
- The Future of Applications (1): From Sustaining to Enhancing to Transforming
- The Future of Applications (2): Lowering Costs & Complexity
- The Future of Applications (3): Enhancing Apps to Modernize Business Processes
In the era of big data we are seeing “big” changes in how customers are collaborating. These changes are forcing enterprises to review how they interact with their customers and transform their business processes.
For too long we have built applications that treat human beings as impersonal entities – account numbers in banking; telephone numbers in telcos; and social security numbers in healthcare. A big lesson that the social network is teaching us is that we all want to be treated as human beings. We want to be appreciated for who we are, and that is not an asset on a balance sheet! (more…)
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.