Following are the list of analytics an enterprise plan and prioritize each year. The selection of analytics and their prioritization should map to business objectives, availability of the source data; technology availability, and data governance (security, processing, data elements, output elements, how much data, and more).
- Product-focused Analytics – Product Analytics
- Future-focused Analytics – Predictive Analytics
- Push vs Pull Analytics – Automation vs BI Tools are driven, Self-Service Analytics
- Technology Focused – Machine Learning, NLP, AutoML, Text Analytics, Image Analytics, Audio/Vido Analytics
- Data Freshness – Historical Analytics, Streaming Analytics
- Devices Focuses – IoT Analytics
- Responsible AI – Explainable Analytics, Non-Biased Analytics, Ethical Analytics
Enterprise Initiatives to support the above analytics:
- Data Dictionary, Data Glossary, Data Literacy
- Building teams and skills in DataOps, MLOps, AIOps, DevOps
- Business Analytics skilled in advanced analytics and Business Subject Matter Experts
- Data Science and Analytics focused Centre of Excellence
- Organization Structure lead by Sr. Director of Analytics
- BI tools, Cloud Native solutions, Scheduled/Automated/Self-Service data preparation tools
- Investment in hybrid cloud analytics and storage solutions