How to start Data Management and Analytics practices?

Data management can provide a strategic roadmap for organizations using data to achieve goals and make decisions. Our modern environment has an enormous volume of data in various types and sources. The need to process this data is expanding and the urgency to manage the data has never been higher. Quality and organized data can be the foundation for decision makers as they lead their organization. Data management and analytics support can be grouped into the following steps.

1. Identify Business Objectives: Business objectives must inform the data management strategy for alignment.
2. Create strong data processes: An example of a best practice data management process would be to collect, prepare, store, analyze and distribute. Data processes must be tailored to the specific organization.
3. Identify the correct supporting technology: Data management tools can help close gaps in current managing practices. However, one must identify current gaps in the organizations capabilities before understanding which technology tool to select.
4. Establish data governance: Data governance ensures that data is used correctly and consistently across the organization, data governance creates a framework for all stakeholders to use.
5. Train and execute: To use data effectively organizations must provide the knowledge and skills training their operating teams need. All members of an organization must understand the fundamental data management strategy.