To assist in deciding on how to decide on Big Data for an organization, templates, business conversations, and, dependencies have been outlined by the NIST Working Group. A set of templates have been created to provide both a technology and methodology agnostic approach in making a decision on Big Data. The following describes the upcoming templates to be provided: Internal workshops: This is a daily agenda format providing an outline for a team to collaborate on Big Data strategizing. Readiness Self-Assessment: This template provides an approach to defining if the organization and its technology is prepared for Big Data. Questionnaire: This template provides example Big Data questions a team should ask themselves. Vendor Management: This template explains how a team can use its findings and incorporate them into an RFI, RFQ, or, RFP. For the above templates, business conversations will typically drive the Big Data course-of-action. Five types of business conversations are: Optimize: This conversation revolves around how Big Data will improve the efficiency of the business, to include processes, CAPEX and OPEX. Agility: This conversation revolves around Big Data assisting in the ability to pivot to the demands of the market, customers, and, any other dependencies. Innovate: This conversation revolves around Big Data assisting the business to create new ways to operate. Compliance: This conversation revolves around Big Data supporting audit capabilities for industry and government standards as: SOX, HIPAA, SEC, etc. Green: This conversation revolves around Big Data supporting Green initiatives for the business. The templates and business conversations have dependencies. These dependencies have two groups: 1) Business, and, 2) Technology. The following are the Business dependencies which feed into the templates and business conversations: Culture Organizational (Structure, Silos, Processes) Governance Fiscal Planning Mergers & Acquisitions The following are the Technology dependencies which feed into the templates and business conversations: As-Is Architecture IT Roadmap IT Team (Skills and Aptitude) IT Services Catalogue
Bill-of-IT Vendor Strategy Below is an output example of how a template can assist stakeholders in articulating their Big Data needs: Business Conversation Value Big Data Feature Readiness Level Use Cases Actors Agility: IT needs to provide Marketing the ability respond real-time to acquiring customers Value Statement: Lower cost of acquiring new customers by ‘X’ percent by October 1st. Roadmap Feature: Business Intelligence (Real-Time BI) [Reference Architecture capabilities can also be outlined here as well.] Technology: Reference Implementation -One or more reference implementations are available -Reference implementations are usable at scale Organization: Ad Hoc -Awareness of Big Data exists -Some groups are building solutions -No Big Data plan is being followed Use Cases: #1, 3,6 Management: -On-line Marketing Officer -Revenue Officer Analyst: -Online Marketing Leads (5) Technical: Network SME Datacenter SME Infrastructure SME CRM Data SME Storage SME (TBD) End Consumer: -Online Customers -Retail Stores (TBD) Resourcing What are the types of skills, how many types of people, where should an organization start with building their Big Data team? If we can provide the types of skills, and an estimate of how many (obviously dependent on organization size), we could give organizations a starting point for building their Big Data team. Alignment with readiness indicators. Author: Dan [Content Goes Here]