Once the roadmap is defined and adopted as one of the strategic initiatives in the organization, Insight360 can assist in its execution taking care mainly of business insights design and advanced analytics (predictive and prescriptive) actions in addition to the monitoring and coaching of all other actors. Insights projects focus on execution of the insights roadmap making sure moving on the 4 aspects in parallel in an optimized way to increase the ROI and make sure the transformation is settled in the DNA of the organization.
Insights projects focus on execution of the insights roadmap making sure moving on the 4 aspects in parallel:
- Business Content by keeping the same spirit of the roadmap in term of business modeling and identification of business drivers (Cause-effect modeling), going deeply to next level of cause effect over the time
- People by assisting our customer in implementing the right structure and insure that business users has the right capabilities to take full benefits of SDSS and AI. Change management program, Data literacy and citizen data scientists training… are examples of actions to be executed in the People track.
- Process creating a set of guidelines and governance best practices on analytical data, insights interpretation to make sure of proper usage and interpretation of the insights across organization and avoid risks of miss-interpretation.
- Platform by implementing progressively in alignments with business user stories the adequate technology and tools taking in consideration the technical features and the customer needs. Below is just an example of diagram summarizing the technical platform that combine multiple technologies and tools. Platform for analytics can includes (all of some of the below technologies. On prep or cloud hosted):
- Data Warehouse and ETL
- Data Quality
- Master Data Management
- Meta data management
- BI and data visualization
- Machine learning
- Optimization
- Simulation
- War room (Management Cockpit)
- ….
Our Technical Architects will assist your team to design the appropriate infrastructure to support the SDSS.
Data management technologies like : SQL Server, Azure DW, SSIS/Azure Data factory, SSAS/Azure AS, Informatica or Talend data quality; BI Technologies like : Power BI and Qlik; AI/ Data science tools like: RapidMiner, Alteryx, Dataiku, Vensim, Gurobi, Python… will be selected carefully based on your business and technical context to make the maximum of benefits and ROI.