Plans & PricingSignup for FreeGet a demo

Mining Big Data for Big Revenue

Telmo Silvaon June 14, 2016
Last updated on May 14, 2025

ClicData, Mining Big Data

Along with the information explosion in our Information Age comes an abundance of revenue opportunities, if mined effectively, from Big Data. But many organizations delay the jump from data-obsessed perspectives to insight-driven management of their data, reporting that it’s a major challenge to convert from one to the other.  Similarly, surveys show that a majority of corporate decisions are made by “feel” — either opportunistically or reactively — rather than by data-driven insights. As a result, even though big decisions make a significant impact on future profitability, executives are missing opportunities for improving performance, reducing production problems, streamlining channels and ultimately boosting the bottom line.

One way to approach this shift is to consider the process in three stages. First: observe and identify the value in your internal and external data to insights and analytics. Second: apply metrics and analytical techniques to create value-driven insights that are customized according to your business objectives and concerns. Third: correlate and implement strategic actions suggested by the insights delivered.

To avoid the ‘data for data’s sake’ trap, always collect data with a strategic purpose in mind. Three strategic data points include those that help you profile results by campaign and customer attributes, assess the risk/reward ratio of new revenue opportunities, and respond to campaign performance and buyer behavior.

The primary route to effectively harness Big Data to meet and exceed business goals is through analytics and reporting. Start by analyzing the big data you’ve already collected. Like many organizations, you may have ‘sensed’ business value in your datasets but didn’t know how to mine its value yet.  Start now. Be sure to explore your enterprise data to discover new business opportunities. You may discover new facts such as new customer base segments, customer behaviors, forms of churn, and root causes for bottom line costs.

Finally, consider expanding into real-time insights by analyzing streaming data to ensure your insights are current, relevant and accurate.

ClicData dashboard lets you connect your diverse enterprise data structures into a single, clean, homogeneous data warehouse for accurate, data-driven insights to boost your bottom line.

Discover the power of ClicData.

Table of Contents

Summarize this content with AI

Other Blogs

AI Readiness Assessment For SMBs: Which AI Wave Is Your Team Actually Operating In

Agentic AI is the loudest topic in data and analytics, and if your leadership has started asking where your team stands, a shrug is no longer an acceptable answer. BARC's…

The Most Trusted ETL Tools by Data Engineers

Ask ten data engineers to name the most trusted ETL tools and you'll get a short list of products followed by a much longer list of caveats. This guide covers…

Why AI Pilots Stall Before the Model is Even the Problem

Most AI pilots never get cancelled. They demo well in the spring, pick up a second round of scope over the summer, and by autumn the two people who built…
All articles
We use cookies.
We use necessary cookies to make our site work. We'd also like to use optional cookies which help us improve our the site as well as for statistical analytic and advertising purposes. We won't set these optional cookies on your device if you do not consent to them. To learn more, please view our cookie notice.

If you decline, your information won't be tracked when you visit this website. A single cookie will be used in your browser to remember, your preference not to be tracked.
Essential Cookies
Required for website functionality such as our sales chat, forms, and navigation. 
Functional & Analytics Cookies
Helps us understand where our visitors are coming from by collecting anonymous usage data.
Advertising & Tracking Cookies
Used to deliver relevant ads and measure advertising performance across platforms like Google, Facebook, and LinkedIn.
Reject AllAccept