A data and analytics roadmap is the blueprint of your data of how it will be sourced, managed, retrieved, classified, and processes for analytics. It helps to convert data into actionable insights for attaining business goals. For building the data and analytics roadmap, you need to consider the following steps.
Assessing the current state
Assess the current state of your data and analytics technologies, tools, and processes and identify where they are falling short in meeting the required business objectives. Your assessment areas may include
- IT infrastructure (hardware, software, systems and their performance on the parameters of scalability, availability, and others)
- Data warehouse architecture, data models, used, data catalogs, and others
- Reporting and analyzing interface and tools
After that, you need to recommend the desired state of the data and analytics infrastructure that can help in meeting the goals.
Selecting your key areas and align them to business objectives
First you need to identify the key performance areas that your data and analytics roadmap will be using. For example, you may have identified better product development or faster reales of your product or better customer experience as your key area. Now , you need to determine how the data of the organization can be processed and used for analytics on all these areas and help in attainment of the above objectives. You would be required to set key metrics and timelines for measurement. Here you set the objectives of your data and analytics roadmap and define the path for it.
Decide the ownership of data
Every stage of data sourcing, processing, retrieval and assessment must be owned by specific individuals. They should have the support of the management and sponsorship to help in creation of the data and analytics roadmap for meeting the goals. Someone must be assigned for monitoring the progress of the roadmap plan, some other for reviewing the priorities and collaborating with the team.
Form the team for creating the roadmap
After selecting the key areas and objectives to be met with the roadmap, you need to rope in the stakeholders who would be pivotal in implementing the roadmap and would help you with understanding of the challenges in following the roadmap.
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Choosing the right technology stack
It is very important to have the right tool to meet the short- and long-term goals of your data and analytics roadmap. Proper tools for data management, data visualization, and creation of the right databases and others must be screened out.
Training the team
Your team must be trained on various data skills and platforms so that they can work with the roadmap.
Modifying the processes and setting up standards of governance
You may require to fine tune your processes and technologies to work according to the roadmap. New working methodologies may be introduced
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