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 →
Many business intelligence (BI) vendors and CIOs have positioned big data analysis to focus on data reporting. They then collect and store as much data as they can hoping someone, a data scientist or a team of specialists, can analyze the data and make sense of it. However, the industry hasn’t… Read More →
In a previous post, we explained that to succeed in today’s fast-paced, hyper-competitive market companies must be data-driven. But it’s not enough for companies to simply gather data. Top-performing companies are able to differentiate and distinguish themselves in the market through their abilities to use the right data at the right… Read More →
In today’s competitive environment, companies must better position themselves to act quickly on business opportunities and threats as they deepen their experiences as data-driven organizations. This journey to analytics maturity starts with the ability to measure the performance of a company’s business (or at least within specific functional areas) and… Read More →