Blogs

Praveenkumar Hosangadi

Praveenkumar Hosangadi is a product marketing manager and part of the IBM InfoSphere team. Prior to his current role, Praveenkumar has worked in crowdsourcing, analytics and IT, in various roles including product marketing, business development, software development and project management.

Realize your data’s potential

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.  Read More

Is data quality going out of fashion?

June 13, 2014
Big data does not make data quality redundant. As long as there is a need to make sound decisions based on information and insights, there will be a need for data quality and governance. Data quality function will adapt to the changing business needs and play a crucial role in building confidence in big data. Read More

Is your organization susceptible to a data breach?

June 2, 2014
With data breaches increasing in frequency, organizations need to secure and protect their sensitive data. Research shows that having a strong security posture reduces the risk and also the cost of data breaches; organizations should take a cue from this and act now. Read More

Ensuring the right fuel for the business analytics engine

December 2, 2013
The joy of having a car is in driving it. What happens if you put in the wrong fuel? Well, the car won’t move. This applies to business analytics as well. Read More

Big Data Integration

May 8, 2013
Given the explosion in the volume, variety and velocity of data growth, it is clear that big data has a low value per byte compared to the traditional enterprise data. An oft repeated analogy to this is a gold mine where you dig tons of dirt to Read More