We help our clients to find their way out of their problems, using data - because it satisfy our hungry brains.
It brings happiness to our clients, obviously. Discover real meaning in our client‘s data, creating a solution that works.
Our suggestions work.
Hungry brains need challenging problem
Bunches of data that seem to make no sense, accumulating for a long time, probably forgotten. And we find patterns in these data. With the patterns discovered, we can make predictions; solve basically all of the client‘s questions.
But, what about this feeling about start with something chaotic and make it have some sense? Or even fix something that is not working, and make it work better? Smarter, more effective and clever?
We are REALLY addicted to it. That‘s why we work with Analytics.
Founded in 2005
Focus on the client, seeking solutions compatible with its needs and context
Accuracy and Quality compatible with the highest academic background of the 2frame team
Promote the Learning generated by the analysis team, in a tangible and useful way for the client‘s understanding
We look for patterns in client‘s data, and we use these patterns to predict what will happen next.
Yes, we apply Mathematics to human behavior. We make predictable even people‘s behavior.
We support decision, creating analysis to guide for the more correct/adequate decision.
No suppositions or guesses.
- Database MKT
- Direct Marketing
- Market Research
- Consumer Goods
- Insurance Companies
- Collection Companies
Hugo Andrés Cruz Sánchez - Director
Bachelor in Mathematics by USP/Brazil, Master in Economics by EPGE/FGV-RJ/Brazil, Ph.D. candidate in Economics at University of Rochester, NY
Worked in Quantitative Analysis at Unibanco Asset Management and with Mathematics and Statistics consulting for projects in several areas of market, and academic projects of undergraduate, master's and doctoral degrees.
Founding partner of 2frame and responsible for the technical area, he works with consultancy in Analytics since 2000.
Danielle Steffen Sánchez - Director
Bachelor in Statistics by ENCE/IBGE-RJ/Brazil, Specialist in Data Mining by PUC-RJ/Brazil
Worked in Planning, Business Intelligence, Database Marketing, Market Intelligence in companies like Brasif Duty Free (currently Dufry), BankBoston, Unibanco, AIG and BEMFAM.
Founding partner of 2frame and responsible for the commercial and marketing area.
CHOICES AND DECISIONS (C&D)
C&D permeate the daily lives of all hierarchies (vertical) and instances (horizontal) in enterprises (eg., companies, public bodies, scientific, etc.). Some C&D are ephemeral or restricted in scope, or of low-impact, but others don‘t (as we suppose from now on).
"If you can explain your problem to us, we can explore your data to find a solution."
When C&D may relevantly influence the performance of an enterprise, it becomes mister anticipate scenarios that may arise from each one of the C&D. However, little can be said about these scenarios and the process itself that generated them, if this anticipation is not conducted in a systematic manner, subject to supervision and assessment, and mainly based on empirical evidence whenever possible.
Ad hoc criteria can justify certain C&D, but are often sources of bias that are difficult to assess objectively. As the use of ad hoc criteria is inevitable - justification of "trained feeling" - a more systematic approach, capable of supervision and assessment in anticipation of the scenarios that may arise from each of the C&D is justified as a cautious way to proceed.
This approach systematizes metrics for design and assignment of importance to each scenario linked to each C&D, as well metrics for performance supervision and assessment of actions arising.
Last but not least, this approach may falsify the process itself of anticipation and decision from the information collected on the performance of the actions resulting from past C&Ds. The accumulation of such information enables the creation of reliability metrics on this process, leading to continuous revisions and improvement (learning).
We use Analytics to address C&D.
First, we transform our client‘s problems in mathematized problems - the complete cycle: the definition of the data to be collected, the collection methods, the metrics to be used, the analysis techniques and visualization of derived information, etc. - and we create a theoretical FRAME to the problem.
Then we choose the most appropriate methods, with the most interesting results, accordingly to the kind of problem.
Oh, yes, then we produce the report. And the presentations. And we are always available to answer any questions. Always.
We work with both ongoing projects and specific projects, or even with ongoing service.