Businesses need a strong Data Strategy to manage vast amounts of data, drive innovation, develop a data culture, and to maintain a competitive advantage. Though cloud environments offer fast, high-volume data collection and scalable storage space; machine learning-powered data preparation; AI-enabled analytics; data backup and recovery facilities — leaving the developers free to pursue coding. […]
Digital Transformation Strategies and Lessons for 2019
Click to learn more about author Asha Saxena. When enterprises take on digital transformation initiatives, they may underestimate the power to which digital has been altering industry landscape dynamics, consumer behaviors, economic fundamentals and what it means to stay competitive and relevant with its customers. People often forget how far we have come in a short […]
Use a Data Science Bootcamp to Advance Your Big Data Career
A sense of frustration has developed among some companies wanting to develop a Big Data Strategy using Data Science and aligned technologies. They can’t find people capable of doing the work. Experts have been warning of a Data Scientist shortage for at least six years, but it’s a strange sounding, “new” career field that many […]
Starting on the Right Foot with Your Big Data Strategy
by Angela Guess Mark Samuels recently wrote in ZDnet, “Big data is big business: analyst Gartner says the amount of chief data officers (CDOs) being appointed by major organisations rose from 400 in 2014 to 1,000 in 2015. The analyst predicts 90 per cent of large companies will have a CDO by 2019. Such CDOs […]
Investors Want Clearer Data Analytics Strategies
by Angela Guess George Leopold recently wrote in Datanami, “Institutional investors and financial market analysts are bullish about the value of data analytics, according to a recent survey by financial advisor KPMG, but are still waiting to see how it can create a competitive advantage for early adopters. Data and analytics ‘will indeed alter the […]
Video: Creating Cognition with Big Data
by Angela Guess Meghan Ottolini recently wrote in CRN.com, “Big data presents fascinating possibilities for technology and business, but according to IBM cloud architect and evangelist Raghavan Srinivas, the traditional approach to big data collection and analysis, hypothesis and testing, is outdated and impractical. ‘You really want to analyze data in motion, as it’s generated,’ […]
Gaps in Big Data Technologies and How to Fill Them
by Angela Guess Bharath Hemachandran recently wrote in Datanami, “Despite the abundance of big data technologies available in the market today, enterprises struggle to take advantage of big data, because they fail to fulfill the following requirements: Implementing mechanisms to efficiently consolidate data from a large number and variety of sources; Effectively industrializing the entire […]