It’s 10pm, do you know where your customer data is?
Jokes aside, is your data organized in a form that you can easily use, review, and make critical business decisions from? Or is disorganized data slowing down your decision-making and preventing your organization from utilizing customer intelligence to enhance the customer experience and grow your business?
Improved Enterprise Data Management Enables Customer Intelligence Analytics
In many organizations, heaps of data are coming in from multiple sources, into and out of multiple clouds and departments, with varying degrees of accuracy. This makes decision-making based on customer intelligence difficult. When your data is not cleansed, you may have multiple records for the same person, spread across your databases. It is essential for your digital maturity process to include optimizing enterprise data management—finding all disparate data, cleansing, and aggregating it, and creating a single, correct client record—your single source of truth.
With enterprise data management and a robust data analytics platform working together, your customer data and prospect lists become more reliable, you save money on marketing materials, and, with the right analytics platform, can more easily implement AI solutions to send the right offer to the right customer at the right time. An analytics platform can mean taking your client records and improving them, their data, and your ability to make data-driven decisions about your prospects’ and customers’ needs.
A Customer Intelligence Analytics Database, like Aunalytics’ Daybreak Analytics Database, not only provides daily insights, compiled overnight and ready for you first thing in the morning, but also gives you access to a robust data platform and actionable industry-relevant smart features to enable various analytics solutions, helping you create a strategy that will lead to positive outcomes for your customers. With a streamlined system for your organization to find, access, store, and manage your data, along with an analytics platform bringing data to your fingertips, you don’t have to worry about which version of a client record you will find today, which version of the client’s name is what she prefers to go by, or what the correct version of her address is.
A side-by-side approach with a technology partner is the best way to access tools like Artificial Intelligence (AI), machine learning (ML), predictive analytics, and a team of experts by your side to provide support and assist you every step of the way. Look for a provider who supports an end-to-end process, making sure you don’t get stuck in the middle and left hung out to dry when making your journey to better enterprise data management, analytics, and, ultimately, digital maturity.