value vision process for big, complex data success

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Copyright © Trevelyan Group LLC 2014 Contact us: [email protected] and www.trevelyan.com Value Vision Start making better business decisions

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Page 1: Value vision process for big, complex data success

Copyright © Trevelyan Group LLC 2014Contact us: [email protected] and www.trevelyan.com

Value VisionStart making better business decisions

Page 2: Value vision process for big, complex data success

Copyright © Trevelyan Group LLC 2014Contact us: [email protected] and www.trevelyan.com

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Challenges in collaboration may be caused by: Difficulties in incorporating all data types into one

actionable environment operational, environment and organizational data Clinical, patient, sequencing data web activity data social data

Ability to use of data that is scattered, duplicated and conflicting

Business owners invested in their own approaches who don’t want to join an enterprise-wide project that looks like it will not deliver for them for a long time despite the potential

Why Invest in Value Vision?

Page 3: Value vision process for big, complex data success

Copyright © Trevelyan Group LLC 2014Contact us: [email protected] and www.trevelyan.com

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How does Value Vision deliver efficient and collaborative ways to get to your business needs?

By functioning as a neutral party, and focusing on value to the business.

The process invariably creates early adopters

By allowing others to join in at the right time for their individual business circumstances

Why Invest in Value Vision?

Page 4: Value vision process for big, complex data success

Copyright © Trevelyan Group LLC 2014Contact us: [email protected] and www.trevelyan.com

Value Vision starts with the business and ends with the business

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What do we need that we don’t have access to now?

Based on value, what investments

do we need to make?

If we are successful how do we change the business,

markets, structure?

How do we prioritize? What comes first?

How will we measure success? How will we

continually re-value the results?

What are our business imperatives?

What knowledge do we need and where is the data to address our challenges?

What will we do different in the future?

Where do we start?

How will we leapfrog the competition?

What is the value? Today? In the Future?

How do we improve decisions?

Page 5: Value vision process for big, complex data success

Copyright © Trevelyan Group LLC 2014Contact us: [email protected] and www.trevelyan.com

Time Line and Results

The Value Vision process addresses 8-10 functional areas/business needs and is scheduled according to an agreed upon plan.

A comprehensive client engagement runs six to nine weeks from the time we start the Value Vision process until the customer receives the final report.

An abbreviated engagement can be condensed into a one-day workshop depending on client needs and preferences

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Page 6: Value vision process for big, complex data success

Copyright © Trevelyan Group LLC 2014Contact us: [email protected] and www.trevelyan.com

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Time Line and Results (cont’d)

The process consists of interviews of key personnel, workshops and review sessions including:

Interviews lasting 45 – 90 minutes senior personnel and SME’s conducted by our team

Assimilation and review of all interviews by our team Review with interviewees if required Break down interview content by area to be addressed, potential for

early deliverables and value Identify key ‘business empowerment’ issues and value Consolidate results by area, priority, value, capability to enable, identify

missing requirements Written report ranked by value to the business Presentation of results to the appropriate decision makers.

Page 7: Value vision process for big, complex data success

Copyright © Trevelyan Group LLC 2014Contact us: [email protected] and www.trevelyan.com

Resource requirements Customer / Company

Participation of business personnel committed to uncovering the capabilities of the organization and the emerging data sources

An active and influential sponsor who will encourage open and frank discussion

Participation of technologists to understand what will be required to enable the results

Trevelyan Group Interviewers, evaluators, and documenters to capture the results

Industry professionals to create the timeline, ROI calculations, opportunities plan and to capture and align the value of each opportunity.

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Page 8: Value vision process for big, complex data success

Copyright © Trevelyan Group LLC 2014Contact us: [email protected] and www.trevelyan.com

DeliverablesThe deliverables of the Value Vision process are included in a written report documenting interviews, recommendations and value analysis of the opportunities:

Potential Opportunities prioritized by value and time-to-deliver

Specific recommendations to meet the already identified business needs

Value-based plan to evolve your capabilities over time

Roadmap to self-funding the environment to achieve the results

Identify and expand on the information/data sources to be leveraged to ensure success to ensure success to ensure success.

List of Business Issues or “Pain Points” identified during the process

Logical next steps based on value

Business case including ROI calculation and timeline10

Page 9: Value vision process for big, complex data success

Copyright © Trevelyan Group LLC 2014Contact us: [email protected] and www.trevelyan.com

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The Value Vision process is proven and

supports your ability to find dynamic solutions to dynamic problems

[email protected]

415 457 1905

Page 10: Value vision process for big, complex data success

Copyright © Trevelyan Group LLC 2014Contact us: [email protected] and www.trevelyan.com

Examples of EngagementsImplementing the “best-of-the-best” ideas in security, predictive analysis, customer management, revenue management, pricing and alliances to develop strong foundation for expansion, profitability and loyalty. Airlines - profitability, customer management, operations improvement, cost reduction,

Industry-leading , maintenance optimization, revenue management, employee communications, route development, route planning,

Logistics – Pricing, Sales, Deal Management, Operations, Hold Optimization, Revenue Management, Cost Management, Customer Service optimization

Banks – improved acquisition, portfolio management and predictive analysis supporting retention. Improved risk analysis and customer management

Telecoms - win-back modeling, CRM, Retention, Acquisition, CRM and customer oriented strategy, Customer usage tracking, product packaging

Retail – store floor traffic modeling from shopping cart information, shopping cart analysis, customer loyalty, customer notification

CPG - distributor information analysis and delivery Advertising – consistent strategy for customer success

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Managing size , velocity, variety, value, and timing of data for business improvement