Here is your data & analytics blueprint
- Clear vision and measurable outcome
- Establish Sponsor buy in and level set expectations
- Crisp delivery based on agile with timely deliverables called out
- Open communication and cadence
- Establish a RACI!
The Future of Big Data
With some guidance, you can craft a data platform that is right for your organization’s needs and gets the most return from your data capital.
Now comes the actual delivery and build
- Data be the center and focus of everything (anyone else tells you otherwise is not looking at it in a holistic manner!)
- Your analytics project will be successful if that data layer is solid
- Data that is moved multiple times will create a lot of heart ache
- So collect, store, transform, curate and standardize your data
- If that does not exist – conduct a few POCs to draw out the picture – should not take more than 3 week
- Apply some Data Quality rules
- Encourage analysis on your Lakes! – Leverage the Object Stores and open them up for analysis for the various stake holders (Serverless options are plenty and cheap nowadays)
- Fail Fast and iterate
- Get creative around enabling data access and democracy in the organization – do not enforce rigid top down controls – business users are repulsive to that
- Encourage the data engineers and analytics crew to get creative with access to content promoting leveraging the right level of Governance
- Agile data pipelines
- Self Service analytics
- Clear Lineage for anything and everything
- Cloud services are very flexible and various controls/queues can be establish
- Address Data, analytics, SaaS, IaaS services from the lenses of capabilities and persona matrix – who has access to what and can accomplish
- Fool proof the vision – Descriptive to Predictive to AI/ML
- Push user enablement, adoption and education
- Now we can talk tech stack J
- Address Scale, provisioning, security, automation etc.
- Snowflake, Azure Synapse, Databricks, Redshift, Object stores etc.
- Glue, Informatica, Azure Data Factory, Matillion, Talend etc.
- Power BI, Tableau, Domo, Qlik, Cognos Analytics etc.
- Power platform, Workato, Mulesoft, Airflow etc.
- Containers
You get the idea – enjoy the journey or contact us to join the ride along with you. 🙂
