What we do – Presciient

What we do

Helping you make better decisions

Presciient consults on how to make better decisions, recognising that all decision making involves forecasting.

Our process involves using sophisticated techniques to measure, assess, and manage forecasts and the decisions that arise from them. We call this Decision Performance Management.

An integral part of this is Forecasting Performance Management. We advise on better forecasting methods, based on both statistics and human judgement, and on their implications for organisational structure and incentives. We consult on knowledge management as it pertains to forecasting.

Measuring your organisation’s effectiveness

We introduce objectivity to organisational goal setting processes and to decision making more broadly. We delineate forecasting from goal setting, and apply basic statistics and rigour to measuring the effectiveness of both. This something most organisations do inadequately, incorrectly, or not at all.

While tracking strategy implementation is vital, we cover the often-ignored area of tracking whether good strategy was decided in the first place.

We measure forecasting and decision value, and the way processes, tools, and individuals create or destroy it. We provide simple, powerful dashboarding and scorecarding tools for Decision Performance Management and Forecasting Performance Management.

Getting you the information you need

We believe that the most important information needed by organisations is tacit: it’s in people’s heads. We thus understand strategic forecasting as ‘tacit data mining,’ and our tools and techniques serve to leverage tacit data.

We provide strategic managers with vital decision making support, while recognising that the most important knowledge is not in computers: it is the experience, intuition and instinct of good management. We respect this resource, and help businesses unlock the knowledge potential of their decision making teams in powerful, accountable ways that add measurable value.

Identifying the best tools for the job

We are software vendor neutral, and we’re not attached to statistical forecasting tools—though we’re experienced with them. We offer bespoke software solutions for scorecarding forecasting methods and processes, and for coordinating and managing collaborative, forecast-based decision making.

Our tools aggregate forecasting decisions, enabling organisations to identify and profit from their tactical and strategic knowledge leaders.

We assist companies new to the analytics space by empowering them through low cost, low risk open source and commodity software solutions, coupled with appropriate training and team development. This ensures that the right skills are applied to the right problem, using the right low cost, high impact tools that deliver measurable value appreciated by the right key stakeholders.

Who we are

Dr Eugene Dubossarsky is a leader in the analytics field in Australia, with 20 years’ commercial data science experience. He is the founder of the Australia–New Zealand Data Analytics Network, with over 14,000 members, and the head of the Data Science Sydney group (5,000+ members), the Sydney Users of R Forum (SURF) (2,000+ members), and Datapreneurs (500+ members). He is regularly invited to be a conference presenter, consultant and advisor, and appears in print and on television to discuss data science and analytics. Eugene also applies data science in an entrepreneurial setting, to financial trading and online startups, and is the creator of ggraptR, an interactive visualisation package in R.

See Eugene’s presentations and interviews in videos, podcasts and text here.

Contact us

+61 414 57 33 22


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