By: Venkat Nanduri
Quick question: Is your data telling you a story every single time customers or prospects interact with your business?
Customers and prospects are in constant touch with you through social media, phone or emails. As a business owner, it is crucial that you know the key metrics you must capture so that, in every interaction, you provide them the WOW experience.
Here are four critical steps to make your data talk:
Step 1: Start with one simple question: What are my various customer touch points?
Step 2: Make a list of all touch points and gather data from each touch point
Step 3: Now, select the top five touch points in descending order.
You’re not done, though, because the next step is the most important step….
Step 4: Once you’ve completed steps 1 through 3, the next best practice is predicting your key metrics for the coming months, quarters and years. This is where top companies have been highly successful and what separates them from the pack.
In my own 30-plus years of experience in the software industry, I have not seen anything like SAP Predictive Analytics. I’m not saying it because I belong to the SAP fraternity, but because it’s 100% true.
SAP is far ahead of others in predictive analytics, machine learning, IoT and AI.
SAP analytics integrates deeply into every process. It enables you to see and share data across functions and departments. It gives you the ability to arm your team with accurate, timely and complete insights, empowering them to make informed, on-the-spot decisions.
The smart companies are those that make use of data-points to sketch their customer stories, make sound decisions about customer experience based on those stories and in turn have scaled up to unimaginable levels.
Is it possible that your data-points are trying to tell you a story that you cannot see or hear because of the lack of the right tools for analytics?
Possible, right? If you are interested in making sure your data speaks your language, please let me know. I’ll be happy to share my insights and recommendations on the predictive analytics tools that can make a huge difference to your business.