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Data Mining is a mix of extremely powerfull and sophisticated algorithmic technologies to extract value from large amounts of data. Beyond these technological stuff, the succes of a data mining project is not a trivial task. You need to detect and formalize the problems in a suitable way, specify accordingly the right and necessary data, validate the results and estimate the final benefits.
Data Mining is indeed more than a technological stuff. To maximize the benefits, you need also to implement a rigurous methodology. This is why, at PEPITe, we are offering services based on the CRISP-DM (CRoss Industry Process for Data Mining) process. This standard and proven methodology guarantees an efficient management of our data mining projects (deadlines, risks management, defintion of responsablilities, identification of clear objectives,...)
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Data Mining Opportunity Pack: In partnership with our customer, we are assessing the various improvement opportunities related to the available databases. The objective is to estimate on various target applications the added-value of Data Mining.
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Data Mining Audit Pack: During this audit, we collect the available data, analyse their quality, analyse and construct explanatory and predictive models. The objective is to bring a efficient data mining solution to a specific process improvement problem. At the end we compute with the customer the pay-back.
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Data Mining Training Pack. Data Mining is an emerging technology, few known in the manufacturing and process industry. Industrials are therefore rarely conscious of the improvement potentials that this technology might uncover. This is why we are also offering training courses focused on the needs in continuous improvement which remains the first class problem in the industry.
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Data Mining Deployement Pack: we deploy on the client's site the data mining tools and competencies. At the end the customer will be able to manage himself the resolution of specific improvememt problems by following the various steps of the CRISP-DM approach.
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