Integration & Governance
July 30, 2014
This new series covers big data adoption across multiple industrial sectors, as well as the defining big data elements and anomalies prevalent across each sector.
July 29, 2014
In the world of big data, the elephant is king. Hadoop, whose elephant logo has become the face of big data, has been joined in the big data jungle by many friends: Pig, Jaql and even a ZooKeeper to keep them all in line. The entire big data jungle will be making a trip to Las Vegas in October for the world’s largest big data conference: IBM Insight.
July 28, 2014
Gartner has recently released their first ever Magic Quadrant for Structure Data Archiving Application Retirement. In this report, Gartner evaluates vendors based on their capabilities and offerings for structured data archiving and application retirement. IBM has been recognized as a leader in the report.
July 22, 2014
How should the new CDO get started with collaborating, prioritizing and spearheading an organization’s efforts to put data at the center of its business? The new ebook, "Insights for the new chief data officer," provides insights derived from interviews and interactions with a number of early CDOs, as well as from related IBM studies and the experiences of information professionals across multiple industries, as well as recommendations for the CDO in three broad areas: strategic alignment with the business, data strategy development and project prioritization.
July 18, 2014
Research indicates that business and IT professionals spend more than 70 percent of their time finding data, validating it or defending it, rather than focusing on what they find most important: analyzing the data. With too little time spent focusing on data analysis, organizations derive sub-optimal returns from their big data initiatives. For better business outcomes, and to maximize the value from big data, organizations need to invest in an agile data governance program.In a recent survey, respondents indicated that they spend more than 70 percent of their time finding data, validating it or defending it, rather than focusing on what they find most important: analyzing the data.
July 17, 2014
The recent controversy over the ethics of Facebook's attempts to influence moods through tweaks to its newsfeed algorithms is overblown. Essentially, Facebook data scientists conducted one of many real-world experiments that are standard operating procedure with them and with most online businesses these days. This was just a routine real-world experiment in big-data-driven sentiment analysis, content optimization and customer experience management.
July 2, 2014
Consider this quote from the recent “Improving Government Performance in the Era of Big Data: Opportunities and Challenges for Federal Agencies Workshop” at Georgetown University: “The seduction of big data is that it allows you to do things that you could not do in the past.” The question is, should you?
June 25, 2014
Building confidence in the big data and analytic initiatives requires good governance. Data from a variety of sources, and in different formats, heightens the need for strong, proactive governance. Health information management professions area ideal candidates for this critical need.
June 23, 2014
“There will always be more data than we can use or manage,” says Richard Lee, this week’s IBM Big Data and Analytics Hero. “We simply need to understand what range of questions we are attempting to answer and size accordingly, while doing no harm to our ability to answer future questions yet imagined.”