GO all in on Data

The key to beat the challenge is 'customer-oriented data analysis'. It focused on digital marketing and improving the customer experience. 

But why it's the point?

First: Really fast feedback- An company knows how, when, and why targeted consumers respond to a given marketing action. Given holistic data capture, the enterprise understands how a product or service was used, the nature of the customer experience, and the likelihood of a repeat purchase.

Second: Measure from ROI perspective- An enterprise can precisely measure how effective certain actions or representations. With techniques like A/B split testing and machine-based learning, data-driven marketing actions can be quickly tuned for optimal results. 

 Also, applying data analytics to operations and day-to-day decision-making requires changing processes, technology, and talent at a fundamental level. To reach this frontier, an organization needs new ways of sourcing, ingesting, processing, and storing data. 

It can be pursued by the method below.

• An objective approach to marketing decisions
• Fast, sophisticated scenario modeling
• Identify the operational areas and customer
• A common format and language for gaining visibility into marketing performance
• Prioritize the next-generation or digital-alternative operating arrangements where data could make the greatest difference.
• Determine the data requirements and what it would take meet these requirements across existing and new/alternate data sources.
• Plan and prepare an operational blueprint