Spotfire® has been recognized as a “Leader” among 16 vendors in The Forrester Wave: Agile Business Intelligence Platforms, Q3 2014 by Boris Evelson with Holger Kisker, Ph.D., Martha Bennett, and Nasry Angel. Spotfire was distinguished in the report, with the highest ranked “Current Offering,” among the field of 16 vendors. In this… Read More →
As the global economy continues to gain strength, corporate CFOs are expressing rising optimism in their outlooks for profits and the general economy. This renewed confidence among CFOs is spurring a growing number of finance chiefs to increase their risk appetites for spending on new hires and capital investments, according… Read More →
Consumer packaged goods (CPG) companies generate a ton of manufacturing, marketing, supply-chain, and other types of data that can be analyzed and acted on to optimize operations. For that matter, the customers who buy their products also create massive amounts of behavioral, sentiment, and transactional information that could be used… Read More →
The deluge of big data has set many companies on an analytics journey. They’ve matured from merely studying historical data that can be easily captured in a database to predicting and optimizing operations based on advanced analyses of multiple data sources. Spotfire has conformed to this set of needs over… Read More →
R is a powerful language for companies of all different types that are interested in conducting statistical analyses, tests, and models. R offers enticing graphics capabilities while providing users with a comprehensive approach for managing and manipulating data. And because R is an open source language, it’s developed and maintained… Read More →
To survive and thrive in today’s hyper-competitive business environment, companies need the ability to act quickly on business opportunities and threats. We’ve entered the Age of Analytics. Organizations that collect, analyze, and act on the reams of customer, market, and operational data available to them, position themselves to respond immediately… Read More →
In a previous post, we explained that the fifth stage of the Analytics Maturity Model, “Automate,” is when organizations take advantage of the time sensitivity of data to analyze real-time data and create automated actions based on events.
Countries across the globe are struggling with sagging infrastructure (roads, bridges, railways, wastewater systems, etc.) that are in dire need of upgrades and replacement. But as global and regional economies attempt to regain their financial footing and governments are strained by rising deficits, many countries, provinces, and municipalities are having… Read More →
In a previous post, we described the fourth stage of the Analytics Maturity Model, “Operationalize,” in which organizations make analytics accessible across the enterprise for all business users, bringing analytics outside the traditional domain of analysts and data scientists.
In a previous post, we described how the third stage of the Analytics Maturity Model, “Predict & Optimize,” allows organizations to plan for the future and use advanced analytics to become more proactive in their analytic decision-making and to begin to project analytics forward to produce better business outcomes and… Read More →