A productivity tool for data scientists and their co-workers; enables collaboration, prioritisation and automation of data-driven marketing questions.
We wanted to measure our consultancy's productivity, so we built TestBoard, our own data science collaboration tool. Now we have some of the worlds biggest brands and a growing beta group interested in trialling it. We are an experienced team in sales, marketing and operations. We've grown and run businesses before, in the marketing industry that needs TestBoard. So far, we've done it the hard way; between consulting gigs, we've started the marketing and built the tool from retained earnings.
1. TestBoard measures the productivity of data analysts. It is designed to make data science significantly more productive within organisations through transparency & automation. 2. It can also be used to compare any machine-learning technologies (Watson, Tensorflow, OpenAI, etc.) to get faster more accurate consumer behaviour prediction models in response to standard business enquiries and finally, 3. It archives test & learn results; to ensure the business doesn't 'learn lessons twice'.
1. Making data scientist's productivity measurable. 2. Using machine learning tools to speed up data scientists. Data scientists are under pressure from the organisations they work in, with challenges, questions and hypotheses being 'fired' at them constantly. We enable them to prioritise these, to provide transparency of progress through the investigation for their colleagues, collaboratively decide the priority questions and use popular machine learning technologies to rapidly analyse.