Services
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What our
customers sayDoug Misener " Under this technology review, we believe SolveIT Software's objective and highly skilled perspective...""Under this technology review, we believe SolveIT Software's objective and highly skilled perspective will help us define a holistic vision for LMG that has a clear, concise, and achievable end game. As outcomes, the project will provide a prioritised plan that delivers demonstrable improvements to LMG core systems and processes, resulting in efficiency gains and improved service delivery to LMG's membership base and core suppliers."CEO
Liquor Marketing Group -
What our
customers sayMr Johann Nell " To achieve a best-in-class fibre supply chain, we have engaged SolveIT Software to help us identify and document opportunities for improvement within our fibre supply chain.""To achieve a best-in-class fibre supply chain, we have engaged SolveIT Software to help us identify and document opportunities for improvement within our fibre supply chain. We believe there are unrealised opportunities that can be uncovered with process and technology changes and we view this supply chain review as a crucial first step in identifying those benefits."General Manager
Supply Chain of Visy -
What our
customers sayMs Kerry Smith " We believe that the deployment of SolveIT Software's Demand Planning and Replenishment Optimiser will benefit both our customers and suppliers...""We believe that the deployment of SolveIT Software's Demand Planning and Replenishment Optimiser will benefit both our customers and suppliers, as well as introduce best practices into our company. We were impressed with SolveIT Software's ability to provide an exact-fit system for our business needs based on a standard software package, and look forward to going live with the system."Chief Executive Officer
PFD Food Services
Next Steps
Data Mining and Analytics
Data Mining and Analytics | SolveIT Software
Data mining is the process of identifying the relationships and characteristics of a data set, such as cause and effect and correlations. The process often starts by finding natural segmentations in data where logical groupings appear. Those groups can then be classified into segments that have significance to a business.
There are many different approaches for data mining, but most rely on advanced statistical methods like linear and non-linear regression techniques. While these techniques are important, they do not always identify all the salient features of the data, and are particularly inefficient on data sets that are sparse or driven by unknown causal factors. Some well-known non-statistical methods include decision trees and neural networks, which is a technique developed from computational modelling of human brains.
SolveIT Software employs both traditional methods of data mining as well as more advanced, non-traditional methods that are particularly suited to finding difficult, non-linear relationships in data. We employ a world-class team of data miners, which have expertise in most current data mining tools on the market, as well as proprietary SolveIT Software tools that allow for better and more powerful models to be created.
