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 →
Best in class organizations that have adopted analytics have seen their service profits increase by 18%, their customer retention rates have soared 42% and the performances of their service level agreements have shot up 44%. That’s according to a recent study conducted by Aberdeen Group on the use of analytics in field… Read More →
Although face-to-face meetings, email and phone calls are the top “mechanisms for collaborating with BI insights in 2013,” those mechanisms are not necessarily the future for mobile collaboration on big data projects. That’s according to a recent survey on the collaborative BI market by Howard Dresner, founder and president of… Read More →
As fuel and transportation costs continue to rise and cut into profit margins, a growing number of consumer packaged goods (CPGs) companies such as Colgate-Palmolive and Nestle S.A. are piloting shared intermodal rail service in specific geographies to reduce costs as well as carbon dioxide emissions.
There is no dearth of fanfare surrounding the potential for big data to allow companies to gain better insight into their customers, markets and operations. But there has been less evidence of the potential return on investment for companies that have embraced advanced analytics.
Recently, we’ve been running a series of posts spotlighting the needs and interests of different types of analytics users in the enterprise. In our most recent post, we featured Allison, an inquisitive mergers and acquisitions analyst for an international bank who has exceptional analytical skills and domain expertise.