Big Corporate Transformation to Sexy & Cool
- Business — Strategy, Approach, Model,
- Technology — road map, architecture, technologies
- Operating model — data driven, metrics, iteration, org
- Capability — skills have and must have, plan to mature and change (no hire and fire!)
meaning:
- Move to fast paced experiments
- Fail Fast
- Automatic process optimization by process owners = Zero Touch!
- Take ownership
- Adopt Cloud Providers
- Change the organization
- From work flow to data enablement
Data Strategy
Agile and differentiated channel space key to success
Business services
API as a business model
Deep analytics of external and internal data becoming fundamental to understand of clients and the corporate itself
Data lake
Real time data architecture
Intelligent automation
Allow staff to discover data and empower them to make decisions based upon data versus a pre-defined process flow
Enabling users with tools and training
Moving towards decisions based upon data versus process
Key approach for data:
- Business learns to speak data / BI Tools, but also analytics
- Data Governance
- Functional Service SOA (v3) and 3rd Party API Strategy
- Analytics as a Service
- Big Data Strategy; Data Lake
- Small Data — Replace RDBMS, EDW
Drive core system architecture around the data lake - Data ingestion : Real Time, Stream, and tactcially others,
- Kill batches = major rework in systems landscape
- Clear focus on few but well understood tools kafka, ElasticSearch, Spark, Hive, Hbase / mongodb… up and coming: nifi, prestro.io
- Wiki to distribute approach and develop skills = ubiquitous skills
Automate and build
- Ingestion framework
- ESB Link
- Meta data framework
- JSON automate ingestion and access — document store
Understand Data Models
- Really! Understand them
- Current data model
- Future data model
- Canonicals
- Normalized — but takes long
Organizations
- What will we need in the future? Technology, Compliance, and Marketing? Who else? What is the future of working?
- Smaller and deeper skilled teams in technology
- Data Scientist and Analyst, Business Decision Maker and developers for analytical apps..
- IT Being the business, never the order taker
Financial
- Cost of technology versus revenue
- Discretionary (up) versus non-discretionary cost (down)
Self Plug or what you urgently need for the journey
- Architects — define and manage strategy
- Sense of urgency count days not weeks!
Opinions are my own!
aw@axelwinter.com