How Datatiq Can Help

Modeling and simulation are at the core of everything Datatiq does. We use these techniques to get a deeper understanding of how things behave, evaluate the strength of proposed solutions, and quantify how certain we can be that our solutions are correct.

Why this obsession with simulation? In part, because it frees us from relying exclusively on textbook statistical formulas and recipes that often have obscure and hard to explain conditions under which they should be applied. Most real world problems violate these conditions -- unfortunately, it's not always clear how to amend these recipes to fit the particular situation one is in. Starting from the ground up allows us to avoid these known unknowns. It enables us to give you clear, jargon-free explanations of what your data is telling you.

If you find yourself asking questions like the ones below, Datatiq can help.
  • What data does our organization have and how can I make use of it?
  • What data should we be collecting? What can we stop collecting? 
  • How should we measure X? (Where X could be progress on an effort, alignment with an objective, efficiency, etc.)
  • What do these statistical concepts mean? 
  • Am I asking my quant/marketing team the right questions? 

If you need to do any of the following things, Datatiq can help.
  • Create a compelling data-driven research report or presentation.
  • Create a survey and analyze the results.
  • Communicate the progress you’re making using metrics that make sense to your audience.
  • Package your data assets into something you can effectively market and sell.
  • Make sure your team understands how statistical inference works and the pitfalls to avoid.
  • Quickly prototype an idea for a data-centric product or service.

And here are some ways in which Datatiq has helped organizations like yours. 
  • Design and implement data-centric products using the organization’s unique data assets (how to categorize, organize, and structure data assets to make them usable; how to build products with these assets).
  • Benchmarking (what to benchmark, defining the right metrics, what makes for the right peer group, how to set targets, what actions to take and how to sequence them, how to measure course and speed to achieving targets).
  • Dashboard design and implementation (with a focus on creating pattern-based alarms and the actions that should be taken as a result of an alarm).
  • Quantification and estimation of seemingly intangible IT and business phenomena (e.g. the quality of the space in a building, the complexity of software, the robustness of a disaster recovery plan).
  • Survey creation (what to ask for and how best to ask for it) and survey results analysis (really understanding what the patterns are and how they compare to random patterns rather than just using cookie-cutter statistical formulas such as p values, confidence intervals, correlations, and regressions and trying to make sense of them in the context of the survey).
  • Evaluation of ranking, scoring, and prioritization schemes. Does the scheme lead to the required level of differentiation between the outcomes? What are the pitfalls and how best to avoid them?
  • Rapid creation of prototypes for data-centric applications, games and puzzles (e.g., effort estimation, natural language analysis, cryptographic techniques, word games)
  • Analysis of English text to extract semantic and syntactic patterns (e.g., sentiment, similarity between sentences, resolution of authorship disputes).

If you think Datatiq can help, contact us at datatiq@gmail.com or at +1 (202) 400-0267. We look forward to hearing from you!