In his blog, Do You Know the Differences between a Data Warehouse and a Live Datamart, Kai Waehner illustrated that the former stores historical business data for reporting, analysis, and data discovery whereas the latter leverages live operational data in real time. These two domains and/or IT tools are therefore… Read More →
The jury is out on whether Big Data is still a big buzzword or not, but it certainly isn’t delivering nearly enough value to companies on its own. According to Gartner, 64% of organizations that invest in big data projects struggle to unlock real value from their big data. A big part… 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.
Many marketers struggle to keep pace with sudden shifts in consumer behavior and market trends. For many organizations, it comes down to a lack of follow-through on the use of real-time customer and market information.
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.
Despite nearly a decade of negative real returns on equity and a string of bear markets, global wealth has more than doubled since 2000, reaching an all-time high of $241 trillion last year. That’s according to the 2013 Credit Suisse Wealth Report, which forecasts that global wealth is expected to grow… 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 →
While financial markets are notoriously hard to forecast, top performing companies in the financial services industry are using predictive analytics to gain new insights into customer behavior to drive revenue and deepen existing relationships with their customers. That’s according to a new research report from Aberdeen Group that found that… Read More →
The combination of big data and analytics offers company executives and managers new ways of visualizing information and pinpointing business trends that haven’t been possible in the past. For instance, machine data that’s gathered from a factory floor can reveal whether a change in vibration patterns or operating temperature might… Read More →