Big data playbook: Questions to ask before you embark upon a big data initiative

Gaurav Dhyhttp://gauravdhy.com

Big Data Playbook

Questions to ask before you embark upon a big data initiative.


Big Data Strategy and Delivery Canvas


Target AudienceExecutives

Better Alignment

Cut down costs

Reduce Time

ProjectGo / No Go

Decision

At Working Level

Structure Content

Holistic View

Prep for Exec presentations

Expectations

Value Proposition

Costs and Risks

Data Processing and

Analysis

Presentation Project, Delivery &

Maintenance

Tools & Skills

StrategyD

elivery

Strategy Layer

Expectations

Value Proposition

Costs and Risks

Data Processing and

Analysis


Maintenance

Tools & Skills

• What are our key expectations?

• What will be the key benefits?

• For whom?

• Is our value proposition aligned with what ourstakeholders’/customers’ needs?

Expectations and Value Proposition


Create a 60 second sales pitch.

Expectations

Value Proposition

Costs and Risks

Data Processing and

Analysis


Maintenance

Tools & Skills

• What are known costs of this initiative?

• What are fixed and one time costs?

• What are recurring and variable costs?

• What are the costs of no action?

• What are the key risks?

• What are the key risks of no action?

• Are there upstream/downstream risks?

• How do risk factors change over time?

• What will happen when we take this action? How will people react,competitors react?

• What are potential problems?

• Will it continue to be profitable?

Gaurav Dhyhttp://GauravDhy.com

Costs and Risks

A Bank Underwriter is asking above questions as he considers whether to lend you money or not? Create

a presentation to address his concerns.

Expectations

Value Proposition

Costs and Risks

Data Processing and

Analysis

Presentation Delivery &

Maintenance

Tools & Skills

Benefit - Costs- Risks x Probability of risk===================

Go / No Go===================

Delivery Layer

Expectations

Value Proposition

Costs and Risks

Data Processing and

Analysis


Maintenance

Tools & Skills

Delivery

• Can we handle:

– Data Volume?

– Data Velocity?

– Data Variety?

• Do we have access to the data we need?

• Do we own or can we buy data? If not, isthere a need to use proxies to substitutefor real data?

• Is there a need to integrate multiple datasources?

• Is the data we are relying on dependable?Gaurav Dhy

http://GauravDhy.com

Data

Expectations

Value Proposition

Costs and Risks

Data Processing and

Analysis


Maintenance

Tools & Skills

• Processing :– Where is (or will be) data stored?

– Where is (or will be) data processed?

– How do we transport data?

– Is there need to enrich / curate data?

– Does data processing satisfy our business needs (Elasticity, Speed, Delivery, accuracy, format,)?

• Analysis:– Are we analyzing past, present, predicting

future or more?

– Which data set(s) will be used to draw meaningful conclusions?

– How will we conduct analysis?

– How will we validate analysis?Gaurav Dhyhttp://GauravDhy.com


Processing and Analysis

Expectations

Value Proposition

Costs and Risks

Data Processing and

Analysis


Maintenance

Tools & Skills


Presentation

• Based on consumer.

– Human interface

• Is it self-service interface?

• In what form and format will databe presented, visualized?

• Is there need for multi-formatpresentation?

• Presentation format static,dynamic or interactive?

– Machine interface

• Ports,

• Protocols / Formats – JSON, XML…….

Expectations

Value Proposition

Costs and Risks

Data Processing and

Analysis


Maintenance

Tools & Skills


Project, Delivery and Maintenance

• Scoping Phase– Agreement on end deliverable by

appropriate stakeholders.– Executive sponsorship.

• Project Phase– How will this project be delivered?*– Project Plans,– Milestones,– Sprints,– Communication cadence– ………

• Post-project phase– How will desired results continue to

be delivered?– Post project service levels

• Availability• MTTR• Accuracy

Expectations

Value Proposition

Costs and Risks

Data Processing and

Analysis


Maintenance

Tools & Skills


Tools and Skills

• How do we gain access to:

– Tools; and

– People / Skills

• How will we train:

– Our employees.

– Clients.


Big Data Strategy and Delivery Canvas

Expectations

Value Proposition

Costs and Risks

Data Processing and

Analysis


Maintenance

Tools & Skills

Expectations

Value Proposition

Costs and Risks

DecisionData Processing and

Analysis


Maintenance

Tools & Skills


Thank You

Data & Analytics

Big data playbook: Questions to ask before you embark upon a big data initiative