{"id":2432,"date":"2016-01-20T11:55:53","date_gmt":"2016-01-20T11:55:53","guid":{"rendered":"http:\/\/www.iic.uam.es\/\/?page_id=2432"},"modified":"2017-07-11T12:31:10","modified_gmt":"2017-07-11T10:31:10","slug":"big-data","status":"publish","type":"page","link":"https:\/\/www.iic.uam.es\/en\/big-data\/","title":{"rendered":"Big Data"},"content":{"rendered":"[vc_row bg_image=”1625″ top_padding=”80″ bottom_padding=”80″][vc_column animation=”fade-in” width=”1\/2″ delay=”500″][vc_column_text]\n

What is called Big Data?<\/span><\/h2>\n[\/vc_column_text][vc_column_text]\n

Big Data<\/strong> is a broad term used to refer to any kind of techniques to process large amount of data which are not related to traditional analyses or tools. This concept comprises many ideas and approaches, nonetheless sharing a common goal: extracting valuable information<\/strong> out of data to support business decisions and processes.<\/p>\n[\/vc_column_text][\/vc_column][vc_column width=”1\/2″][\/vc_column][\/vc_row][vc_row bg_color=”#ffffff” top_padding=”30″ bottom_padding=”30″][vc_column animation=”fade-in-from-bottom” width=”1\/1″ delay=”1000″][vc_row_inner][vc_column_inner][vc_column_text]\n

The Big Data concept is closely related to other terms such as Data Science, Analytics or Data Mining, which also include the objective of extracting value out of data. The Big Data system has been widely defined with the three Vs, representing the large Volume of data that must be dealt with, the Velocity that can be applied to process the data and the Variety of formats they may come in. Particular emphasis has been placed on the objective of Big Data, adding a fourth feature: the Value obtained alongside with the information taken from data.<\/p>\n

Any project focused on Big Data is based on three incremental technological layers:<\/span><\/p>\n[\/vc_column_text]

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Storage<\/h3>

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The hardware and software resources that allow having distributed and redundant storage of data, making it easier to manage and access the data and avoiding information silos. They account for where to store the data.<\/p>\n<\/p><\/div><\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]

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Processing <\/h3>

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The data processing tools that work as a basis to handle large amounts of batch information or fast data flows in real time. They account for how to work with data.<\/p>\n<\/p><\/div><\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]

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Analysis<\/h3>

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Finally, the algorithms and methodologies that perform the data analysis, producing valuable information for business. They account for what to do with data.<\/p>\n<\/p><\/div><\/div>[\/vc_column_inner][\/vc_row_inner]

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The core of the IIC experience and career during these 25 years has focused on the data analysis<\/strong> layer. Using existing storage and processing technologies, our firm commitment is to develop tailored algorithms and analysis techniques<\/strong> so that they make up Big Data solutions<\/a> that are best adapted to the problems of every client.<\/p>\n[\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/2″][vc_column_text]\n

Our capacity to work closely with the client<\/strong> while developing a tailored solution is our distinctive approach in contrast to the usual data analysis products.<\/p>\n[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row type=”full_width_section”][vc_column width=”1\/1″]

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How does it work?<\/span><\/h3>\n[\/vc_column_text]
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Solutions based on Big Data<\/strong> have the common purpose of extracting valuable information while performing analysis of big sets of data. This analysis is based on mathematical techniques<\/strong> \u2014mostly statistical\u2014, that are derived from varied fields such as data mining<\/strong>, machine learning, time series analysis or operational research.<\/p>\n[\/vc_column_text][\/vc_column_inner][vc_column_inner width=”1\/2″][vc_column_text]\n

These techniques can help exploit any kind of data: databases, numerical records, free text, activity in a social network, audios, images, videos\u2026 Any kind of data is susceptible of being analysed if appropriate methodology is applied. Scenarios in which there is a wide variety of data in different formats can also be treated with strategies to integrate information, thus enhancing the solution.<\/p>\n[\/vc_column_text][\/vc_column_inner][\/vc_row_inner]

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According to the value of the information obtained, three kinds of analytics can be found:<\/span><\/p>\n[\/vc_column_text]

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Descriptive Analytics<\/a><\/span><\/h3>\n

Descriptive Analytics consists in the storage and aggregation of historical data, visualising them so that they can help understand the current and past states of the business. Descriptive Analytics tells us how the business has worked<\/strong> up to the present day.<\/p>\n<\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]

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Predictive Analytics<\/a><\/span><\/h3>\n

Predictive Analytics builds itself on the basis of descriptive analytics and, using advanced statistical models, adds to our information base data that are unknown to us. This results in techniques such as prediction of future values<\/strong> in historical series of prices and demands, but also automated texts or operations classification, or client segmentation. As a result, predictive analytics tells us how the business will work<\/strong>.<\/p>\n<\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]

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Prescriptive Analytics<\/a><\/span><\/h3>\n

Prescriptive Analytics is the top level of analytics, the prescription, which exploits the previous levels along with operational optimisation strategies<\/strong> to indicate which business actions will render the best results. Prescriptive Analytics helps us to obtain automated recommendations for the best time to place orders, carry out maintenance or other business operations. This level of Analytics helps us know what to do<\/strong> in order to optimise our business.<\/p>\n<\/div>[\/vc_column_inner][\/vc_row_inner][vc_column_text]\n

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\"Anal\u00edtica<\/div>[\/vc_column_inner][\/vc_row_inner][vc_column_text]\n

IIC has the capacity, expertise and experience to provide Data Analysis Consultancy at any of these three levels.<\/span><\/p>\n

It is estimated that only 13% of firms make full use of Predictive Analytics, while less than 3% obtains the real value Prescriptive Analytics may provide. Potential for growth using advanced analytics is clear.<\/p>\n[\/vc_column_text]

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Benefits and value of the IIC Big Data solutions<\/span><\/h3>\n

Big Data solutions provide:<\/span><\/p>\n[\/vc_column_text][vc_row_inner][vc_column_inner width=”1\/3″]

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Accurate knowledge<\/h3>

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Accurate knowledge of the business through Descriptive Analytics techniques.<\/p>\n<\/p><\/div><\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]

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Better organisation and planning <\/h3>

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Better organisation and planning of the business using Predictive Analytics.<\/p>\n<\/p><\/div><\/div>[\/vc_column_inner][vc_column_inner width=”1\/3″]

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Higher return of the investment<\/h3>

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Higher return of the investment of the business processes as we employ Prescriptive Analytics techniques that recommend actions based on solid data on expected costs and profits.<\/p>\n<\/p><\/div><\/div>[\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row top_padding=”30″ bottom_padding=”30″][vc_column width=”1\/1″][vc_tabs][vc_tab title=”Guaranteed efficiency” tab_id=”c4211c19-f531-6″][vc_row_inner][vc_column_inner width=”1\/3″][vc_column_text]\n

Guaranteed efficiency of IIC Big Data solutions<\/span><\/h3>\n[\/vc_column_text][\/vc_column_inner][vc_column_inner width=”2\/3″][vc_column_text]\n

Big Data<\/strong> constitutes a tool for business improvement, and as such, its effectiveness depends on it being correctly applied<\/strong>. Given that it is not an end in itself, but a means, it is necessary to perform a detailed analysis prior to implementing Big Data solutions<\/strong> effectively.<\/p>\n

At IIC we have over 25 years of experience developing solutions based on the extraction of value<\/strong> out of data. In addition, we play an active role in ongoing training and research processes based on the most recent technologies in the world of data, both in machine learning statistical systems and software technologies for massive data processing. All of this allows us to be a leading-edge<\/strong> organisation developing Big Data solutions that knows how to apply the most effective technologies at the time.<\/p>\n

We work closely with our clients with data consultancy<\/strong> both designing and developing our solutions and while they are being used, making sure they are suitable for each individual case.<\/p>\n[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_tab][vc_tab title=”Why invest in Big Data and advanced analytics?” tab_id=”1447503507431-2-8″][vc_row_inner][vc_column_inner width=”1\/3″][vc_column_text]\n

Why invest in Big Data and advanced analytics?<\/span><\/h3>\n[\/vc_column_text][\/vc_column_inner][vc_column_inner width=”2\/3″][vc_column_text]\n

Investing in advanced Analytics and Big Data implies:<\/p>\n