Athens, Greece (PRWEB) November 19, 2008
Data stands as the least biased and most valuable input to decision making, the purest source of insights and knowledge. Today, data is generated, stored and used at an unprecedented rate and volume. Typical tools available to interpret such data, including common statistical and survey reports, cannot respond efficiently to the hurdles today’s volume of data and required in-depth analysis pose. Data Mining appears as the solution. It can be visualized as a process of searching for treasure buried in the sand or digging up rock to mine for gold – thus ‘mining’. In this case, the rock stands for data and the gold are the insights and knowledge hidden within the data set. But, from now on, one doesn’t need to be a miner to come up with the treasures, nor spent significant amounts of time to understand either the tools in use or their results.
DataMine.it comes to the rescue. A rock solid answer to the problem is presented, an easy, fast and secure solution, relieving from all the things that are not needed to know or waste time on, while highlighting what really matters, the rules and patterns revealed out of the data. A capable team of data engineers with strong research and practical expertise on the topic will receive the data set sent with something as simple as an email, and start experimenting and fine tuning an extended bunch of machine learning algorithms, to finally come up with the most insightful of the patterns revealed and illustrated.
The data set formats approved include .xls, .csv and .txt, also a non disclosure agreement may be provided upon request, while, no matter of the data set’s size, a DataMine.it analysis report costs â¬500, which may be submitted via paypal, and is returned in the customer’s inbox within a week. More information on the problem, process and solution provided, as well as the team and various case studies, are available in http://datamine.it.
DataMine.it is a group of skillful and passionate data engineers, each one holding an engineering diploma from NTUA and an MSc or PhD in Applied Math, Statistics or Operations Research. DataMine.it located in Athens, Greece and London, UK.
George Tziralis, co-founder and data engineer
+30 6937 122 065