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These are some of the questions FATTO helps you answer by creating solutions with Analytics & Machine Learning. We develop supervised and unsupervised predictive models. We implement solutions in spreadsheets or incorporate them into systems to guide business decisions. We use your data, market references and your team's knowledge in identifying patterns, assisting in creating a culture of results.

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The data captured in the management and execution of their day-to-day development operations hide answers to critical business questions. We help you discover this value by understanding the interrelationship between this data so that you can control an unknown variable from known or more easily estimated fragments.

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The main benefits of our work with Analytics & Machine Learning are in discovering the opportunities you don't even know you already exist! Especially if you've had corporate governance controls in place for some time, think about the amount of information in your unused data and with the potential to bring results to your business. FATTO has a team that combines deep knowledge in IT management and knows what to look for in your data.

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A client needed to estimate project management (GP) hours for technical and infrastructure initiatives.While simply applying a percentage on the total effort was sufficient for the development of software solutions, technical projects presented too much variability.

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After understanding the process, collecting metrics in demand management systems, interviewing those involved about their perceptions, we found that in that context:
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Our work also served to verify a number of aspects whose variation was not statistically significant in the variation of the effort invested in GP, although "common sense" indicates the opposite, for example:

With t[/vc_column_text][tdm_block_list items=”UXVhbnRpZGFkZSUyMGRlJTIwJUMzJUExcmVhcyUyMGRlJTIwVEklMEFRdWFudGlkYWRlJTIwZGUlMjAlQzMlQTFyZWFzJTIwZGUlMjBuZWclQzMlQjNjaW8lMEFRdWFudGlkYWRlJTIwZGUlMjB0ZWNub2xvZ2lhcyUwQVF1YW50aWRhZGUlMjBkZSUyMGFtYmllbnRlcyUyMHByb2R1dGl2b3M=” tdicon=”tdc-font-fa tdc-font-fa-arrow-circle-o-down” content_align_horizontal=”content-horiz-left” f_list_font_size=”18″ f_list_font_line_height=”1.6″ f_list_font_weight=”300″][vc_column_text f_post_font_size=”18px” f_post_font_line_height=”1.6″ f_post_font_weight=”300″]hese relationships mapped, a proof of concept simulating the model in past projects allowed to confirm its effectiveness and a "calculator" was delivered to facilitate the planning of technical and infrastructure projects.

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MetricViews | IFPUG
Volume 8 | Issue 2 | July 2014
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IFPUG MetricViews
Volume 9 | Issue 1 | Jan/2015

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