We all aspire to achieve “insights at the speed-of-thought” in our everyday interactions with data. Given the ever-compounding volume, velocity, complexity, and variety of data generated today, the need to explore data with speed is becoming imperative so users can transform their data challenges into growth opportunities and gain insights… Read More →
For all the opportunities that conventional big data provides to organizations around the globe, there is still a vast amount of unstructured human-generated data that has remained largely unexplored. Nearly 80% of the information captured by organizations today is comprised of all types and sizes of human-generated unstructured content, according… Read More →
Companies collect oceans of data. In fact, the average enterprise will spend $8 million on big data initiatives and programs in 2014, according to IDG. Yet despite the millions being spent, executives often don’t know which data sets are providing the greatest returns on investment. As inefficient and costly as this… Read More →
As companies grapple with the tsunami of data coming from connected devices, mobile, and the Web, there is the potential for a big data bottleneck to block business innovation. That’s the assertion of Brian McCarthy, managing director of information and analytics strategy at Accenture Analytics, in a new Harvard Business… Read More →
When it comes to innovation, people often think of ground-breaking innovation like Post-It Notes and laser surgery. But most companies would welcome a series of small innovations that deliver measurable impact on operations or business performance over time. Case in point: To help keep excitement and demand high for Beanie Babies in… Read More →
One of the key challenges business leaders face today is how to turn the volumes of data gathered from a variety of sources into actionable insights. In fact, 96 percent of the 144 CFOs and CIOs surveyed by KPMG admit that untapped benefits from using data remain on the table. As a… Read More →
One of the key challenges faced by IT is satisfying the large volume of requests for IT and business projects, including BI (business intelligence) and report requests that can be difficult to fulfill when data is siloed across the organization.
Predictive analytics can help CFOs and other business leaders examine a full range of market and operational data that can help them better forecast business outcomes (e.g., revenue, profits, operational costs).
When it comes to the performance of their working capital, companies aren’t making much progress. In fact, in 2013, the three components of working capital – receivables, payables, and inventory – showed scant change from 2012. That’s according to the 2014 CFO/REL Scorecard that evaluated results from 997 non-financial US companies.
One of the greatest strengths of predictive analytics is enabling employees, contractors, and business partners across different teams to share data and insights across related projects. This type of successful collaboration has helped fuel impressive production results for TIBCO Spotfire client Kuwait Oil Company.