Data is at the core of every organization and the pressure is on to get insights faster from an expanding universe of data sources to guide business decision making and transform the customer experience as we know it. This is a foundational component of digital transformation across industries and will enable delivery of personalized shopping experiences, telemedicine, accelerated supply chain and IoT expansion…just to name a few.
Why Real-Time Data Management Matters
According to Forrester Research, a real-time data management strategy is a necessity in the age of the customer. The process enables businesses to deliver customized experiences based on diverse data sources as it becomes available. It also empowers organizations with actionable insights that allow them to fully understand what’s going on within each function of the business and inspire the changes necessary to stay on the cusp of variable customer needs. This agility is essential in order to keep up with the changing market.
The volume, velocity and variety of new data will only continue to increase, and the challenge of staying on top of sourcing all this data is a major pain point for enterprises. With so much data to process and analyze, how do you get started? Which data do you focus on? How do you make sure the insights are what your business stakeholders need?
4 Steps to Building Your Data Management Strategy
In a recent report from Forrester research, they recommend the following four steps for enterprises architects to take for building out a data management strategy:
- Step One: Assemble the right data stakeholders
- Step Two: Perform a needs assessment
- Step Three: Investigate your strategic options
- Step Four: Prioritize your strategic options
Read the full report: Four Steps To A Data Management Strategy In Light Of Big Data for guidance on how to approach each of these steps within your organization.
Learn more about how CenturyLink big data and analytics services and Big Data as a Service solution can help you expedite the development and implementation of your real-time data management strategy.