1. Collection
1.1. Questions
1.1.1. Where do you need to collect it from?
1.1.2. Where does it need to go?
1.1.3. How much data will you collect?
1.2. Great tools will be
1.2.1. Easy to setup and maintain
1.2.2. Aggressive data collectors
1.2.3. Privacy compliant
1.3. Beware of
1.3.1. Large SDKs
1.3.2. Double charges
1.3.3. Taxes on success
2. Analysis
2.1. Great tools will be
2.1.1. High Fidelity
2.1.2. Low Effort
2.2. Beware of
2.2.1. Repurposed Tools
2.2.2. Faux Automation
3. Storage
3.1. Questions
3.1.1. What questions do you need to answer?
3.1.2. How much data will you store?
3.1.3. How fast do you need answers?
3.2. Great tools will be
3.2.1. High capacity
3.2.2. Data format agnostic
3.2.3. SQL Compliant
3.3. Beware of
3.3.1. Proprietary interfaces
3.3.2. Security holes
3.3.3. Disasters
4. Visualisation
4.1. Questions
4.1.1. Who will be using it?
4.1.2. Do you need reports or research?
4.2. Great tools will be
4.2.1. Flexible
4.2.2. Beautiful
4.2.3. Social
4.3. Beware of
4.3.1. Data format requirements
4.3.2. Over-pricing
4.3.3. Desktop apps