A data strategy is a set of rules, procedures, and tools that define how to deal, analyze, and handle data in your organization. Data Strategy enables you to make intelligent decisions based on your available data. It helps you manage your data effectively and maintain your data security. It also allows you to provide your employees with the tools and information they need to deliver great customer service and improve their performance.
The first step in your data strategy begins with your data catalog. This is the collection and organization of all of your pertinent information - what it is, who has it, when it was created, what it says, etc. Your data catalog represents your entire data management system. This needs to be updated regularly so that you are always sure of what your information points to. It must also be reviewed periodically for accuracy and completeness.
Your Data Options also needs to address your business units (departments, locations, businesses, etc. ). Each unit will require a different approach to the cataloging and updating of the data so these should also be addressed in your strategy. You cannot use a generic business strategy to address all of these concerns since each has to be addressed differently.
The next step in your data strategy should be an assessment of your current data sets and architectures. What is your data architecture? How does it currently function? What changes might be needed to make it more effective or efficient? These questions are important because you need to stay current with the architecture and the changes your business units require to remain competitive in an increasingly competitive market.
Your data strategy must also include a review of your data management process and goals. What is your data management process? Is it effectively using all of the processes to create and manage the data architecture you have in place? Are you using an effective data management tool (RDBMS) to store, manage and query the data that your company holds?
Vision and Analytics are just one aspect of a data strategy. This is a critical first step, however. Without a clearly defined vision and roadmap, it will be very difficult to implement some of these other strategies. If a data scientist handles the execution of these strategies and they do not have a vision or plan to execute their plan then they will often find themselves in a situation that is much more difficult to try to reverse than it was to get into in the first place. Find out more details in relation to this topic here: https://en.wikipedia.org/wiki/Mobile_data_management_strategy.
