Data Strategy & Planning
Data strategy and planning is the process of developing a roadmap for collecting, storing, and using data effectively to support the goals and objectives of an organization. It involves identifying the data sources that are most relevant to the organization, determining the appropriate storage and processing technologies, and establishing processes for data management and governance.
Some of high level data strategy concepts may include following elements:
- Data sources: Identify the data sources that are most relevant to the organization and determine how to access and integrate them. This may include internal data sources such as transactional systems, customer relationship management (CRM) systems, and HR systems, as well as external data sources such as social media, market research, and public data sets.
- Data storage and processing: Determine the appropriate technologies and infrastructure for storing and processing data. This may include on-premises systems, cloud-based solutions, or a hybrid approach.
- Data management and governance: Establish processes for managing and governing data, including data quality, security, and privacy. This may include developing data policies and procedures, implementing data governance frameworks, and establishing roles and responsibilities for data management.
- Data analytics and reporting: Identify the types of analysis and reporting that are most relevant to the organization and determine how to enable these capabilities. This may include designing and implementing data warehouses, ETL processes, and dashboards and reports.
Benefit of Data Strategy & Planning
Overall, a data strategy can help organizations to effectively leverage their data assets to drive business growth and success. There are several benefits to having a well-defined data strategy in place:
- Improved decision-making
- Increased efficiency
- Improved data governance and compliance
- Enhanced customer experience
- Greater agility
Our Typical Deliverables Include
A data vision statement has the long-term goals and objectives of the organization’s data strategy. This may include goals related to data quality, accessibility, and use.
A data inventory is a list of all the data assets that are relevant to the organization. Data mapping involves identifying the relationships between different data assets and how they are used within the organization.
A data governance framework with outlined roles, responsibilities, and processes for managing and governing data within the organization. This may include policies and procedures for data quality, security, and privacy.
A data analytics roadmap with specific steps that the organization will take to enable data-driven decision-making. This may include designing and implementing data warehouses, ETL processes, and dashboards and reports.
A data skills development plan contains the specific skills and competencies that the organization will need to develop in order to effectively leverage its data assets. This may include training and development programs for data analysts, data scientists, and other data professionals.