The Method Works NZ Ltd has project managers who will help you make things happen. We work with clients in the public and private sectors. We have a wide range of experience, from marketing through to large IT projects, but we have particular skills and interests in organisational change, sustainable business practices, and data warehousing / business intelligence.
Our services include:
Like all good project managers, we take care to deliver within your constraints.
Our consultants have experience managing a wide range of projects and programmes, from small to large, business and technical. We have a sound knowledge of project management methodologies but also recognise the secret to successful projects is being responsive to particular circumstances.
We have good experience in related activites such as developing RFPs, evaluation models and business cases.
Climate change is a reality.
Businesses now have a responsibility to operate in a more sustainable way. In practical terms this means reducing your carbon footprint.
We have recent experience in helping organisations evaluate their current level of sustainability (including carbon footprint calculations), planning for better sustainability and implementing these plans.
We have a good understanding of the Government's Carbon Neutral Public Service and Govt3 programmes.
All organisations need good information for decision-making and most already have a lot of information that they don’t use. Data warehousing is how you can make it available, and good business intelligence tools help you make sense of it and deliver it to the right people.
We have more than 10 years’ experience in this area, from warehousing large operational systems down to spreadsheets, and from advanced statistical analysis and data mining down to simple report design and web delivery.
A simple review of your analysis and reporting requirements and existing systems will show you how data warehousing and business intelligence tools could help.
Exploratory data analysis is the first step when looking at data, and the most important. Before investing in the development of complex statistical models, it’s well worth spending time doing the basics.
Exploratory data analysis is also the first step in investigating data quality. For too many organisations, data quality is an unknown quantity. Time spent auditing the quality of key data elements, both subjectively and objectively, is usually well spent; it informs decision making, model building and choices in system and process redesign and staff training.
After exploratory data analysis, with an understanding of data quality issues, we can move onto using advanced multivariate statistical techniques to build models and identify relationships in the data, and use other tools like neural networks, forecasting and simulation to make your data work for you.
Read about our team of experienced consultants »