Our Mission
Mission Statement
Our primary mission at SimDnA is to foster Data & Analytic excellence, for both information creators and consumers, through experiential learning.
Our platform delivers on this mission by helping users develop experience in applying Data & Analytical skills and then connecting them with employers looking for candidates with confirmed experience.
As a part of bridging this divide, between candidates and businesses, we have developed an analytic framework that captures the core components of praticing Data & Analytics. This framework is captured by the acronym IPODS (Information | Process | Organization | Determination | Synthesis). The matrix on the next tab segments Data & Analytic skills by the IPODS framework and level of analytic role. This will serve as a guide for both candidates and businesses to evaluate the levels of qualification and candidate capacity.
Skills Matrix
The Analytic Process
Information - The absolute foundation of analysis and all related functions. Information architecture builds upon itself towards the goal of insight and action; all subsequent layers adding value throughout
Process - A collection of steps organized into a logical order that produces a measurable outcome
Organization - The logical ordering of information with the purpose of measuring inputs and outputs within a business’s system of information
Determination - Evaluation of information, processes, information organization, along with contextual business knowledge; to arrive at conclusive outcomes that either drive insight and action or lead to recursion of IPODS
Synthesis - The art of communication measured by the effectiveness and efficiency of imparting knowledge to peers, stakeholders, and key decision makers. This art takes on many forms including data visualization, slideshow decks, Business Intelligence tools, videos, discussions, etc.
How TradeCraft is Different
In the simplest terms TradeCraft provides aspiring analysts an environment where they can grow themselves into viable candidates for careers in the analytics space.
What does this mean? - Data Science & Analytics is a fast growing career focus. Businesses are accelerating their search for qualified candidates. In response to this demand colleges, universities, and the private sector have responded with numerous programs to teach aspiring analysts the required skills. Unfortunately this only solves for part of the equation that equals being hired into this field. The missing variable is experience. Employers prefer to hire candidates with a proven history of the practical application of analytical skills. Students that are fortunate enough to get this experience through internships or career development programs often find it easier to get hired. For those without these opportunities this gap is wide and challenging to bridge. TradeCraft now offers an environment that is representative of actual companies. This environment includes a proper business model, data infrastructure, analytic tools, and the types of problems and challenges businesses face.
IPODS Reference Articles
Part 1: Defining It
Part 2: How to Begin
Part 3: Initial Investigation & Collecting Information
Part 4: Patterns, Processes, Procedures, and Problem Solving
Part 5: Organization OR Mapping the Sorted Details
Part 6: Decisions, Decisions, Decisions
Part 7: Sharing Some Storytelling
Part 8: Looking Backward, Inward, and Forward
Part 9: Deriving How
Part 10: Digging Deeper Into Information & Data
Part 11: Reflecting on the Model
Part 12: The Transmogrification of Your Data ... Hidden in Plain Sight
Part 13: Formalizing Process ... Of Layers, Hidden Form, and Cajun Cooking
Part 14: The Matrix - Twenty Questions?