One of the inherent challenges that many business leaders face with using customer relationship management (CRM) systems is that customer data is often duplicated or contains errors (outdated street addresses, phone numbers, email addresses, etc.).
For years, forward-thinking companies have aimed for “business intelligence for the masses,” embedding the power of analytics into the process of the business users to ensure they can rapidly gain actionable insights and infused them into operations.
In a previous post, we described the second stage of the Analytics Maturity Model, “Diagnose,” which enables business leaders to visually interact and drill into their data to discover additional answers to questions that arose in the “Measure” stage. For example: Why did we have an increase or decrease in… 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 →
Oil and gas companies rely heavily on geographic data to determine where to drill, contending with the location and positioning of rock formations before extraction, etc. Likewise, retailers are heavily dependent on locational data to ensure that they’re placing stores close to the target customers they’re trying to reach. Meanwhile, retailers… Read More →
Retail stores today pulsate with activity and generate streams of data about customer behaviors, customer traffic, employee performance, and inventory placement and sales. This creates incredible opportunities for retailers, their regional managers and their store managers to leverage analytics to better understand shifts in customer preferences, employee productivity, and merchandising… Read More →
In a previous post, we explained how the first stage of the Analytics Maturity Model, “Measure,” enables executives and front-line managers to obtain a quick, current status of the operational and business performance of their company.
Big data offers companies a number of useful benefits, including opportunities for decision makers to gain deep insights about customers and market opportunities. When used effectively with analytics tools, big data can also help business leaders identify and stem emerging issues (e.g., a developing bottleneck in a company’s supply chain) – even… Read More →
By Steve Farr, Oil & Gas Industry Expert Everyone in our industry attends functions, conventions, and shows that hint at the future of data analytics. Sure, we go to shows, but let’s be honest: who really remembers every detail of every presentation, 12 months earlier on a particular day?
The term “big data” is a bit of a misnomer. That’s because while the size of the data streaming into companies from social networks, online shopping, mobile devices and sensors attached to machinery is massive, the most important aspect of big data is the potential for how it can be… Read More →