Tagged: Data Processing

IT leaders pick productivity over security

Posted on May 11, 2016 by Leapros Information Technology · Data Processing · Risk Management · Security

Implementing security measures can make systems run slower and essentially bog down productivity, which is causing some enterprises to abandon effective security measures. Two recent studies highlight the severity of lacking cybersecurity practices.

This article is brought to you by CIO.com

Drive Data Quality at Your Company: Create a Data Lake

Posted on February 17, 2016 by Leapros Information Technology · Big Data · Data Processing · Data Science

Data has always been a powerful tool for innovation and strategic advantage. With the growth of Big Data the interest in tapping this resource has only grown. But deriving value from data depends a lot on how well companies can capture and manage that data. And Big Data only adds complications to this process. Attend this session to learn how to use the flexibility of Hadoop to create a centralized processing pool where data is captured, cleansed, linked and structured in a consistent way.

Top Trends in Business Intelligence

Posted on April 9, 2015 by Leapros Information Technology · Analytics · Data Processing · Innovation

As anyone working with data these days knows, there is a massive wave of innovation in analytics today. More and more companies from startups to big organizations are recognizing that fostering a data-driven culture is key to help them perform better and transform businesses.

Sein Chyi is a Senior Project Consultant based in Singapore. She has been working with well-known companies and established MNC across various industry and countries in Asia Pacific, to integrate and adopt Tableau successfully into their organizations.

Bank of America: The Long and Winding Road

Posted on July 2, 2014 by Leapros Information Technology · Data Processing

Sheila will review the data processing landscape since the early 1980’s to set a context for current data activities and developments. Against this background, Sheila will discuss major milestones in the evolution of data processing, related technologies and methodologies to highlight the history of the discipline. This will position for commentary on the current ‘buzz words’ in the industry, with considerations, against this perspective, of the opportunities, benefits and concerns related to these new trends.

This presentation can also be seen at ieondemand.com