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 | by Praveenkumar Hosangadi
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-...

Is data quality going out of fashion?

June 13, 2014 | by Praveenkumar Hosangadi
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...

Is your organization susceptible to a data breach?

June 2, 2014 | by Praveenkumar Hosangadi
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.

Ensuring the right fuel for the business analytics engine

December 2, 2013 | by Praveenkumar Hosangadi
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. The business benefit of analytics lies in acting on the insights. What if the data that fuels analytics is not trust worthy or reliable? Either...

Big Data Integration

May 8, 2013 | by Praveenkumar Hosangadi
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 discover an ounce of gold. But, enterprises can still...