Currently we are living in a digitally connected world where zillions of data is generated every day and stored at various data collection servers be it cloud, enterprise servers etc. This data is a treasure house of insights on creating visibility to any stakeholder in his/her decision making processes. The technology extraction of this data and creating meaningful insights we call it in simple terms as big data analytics.
Big data has one or more of the characteristics high volume, high velocity or high variety. Artificial intelligence (AI), mobile, social and the Internet of Things (IoT) are driving data complexity through new forms and sources of data. For example, big data comes from sensors, devices, video/audio, networks, log files, transactional applications, web, and social media — much of it generated in real time and at a very large scale.
Businesses can use advanced analytics techniques such as text analytics, machine learning, predictive analytics, data mining, statistics and natural language processing to gain new insights from previously untapped data sources independently or together with existing enterprise data.
We implement Big Data solutions in an agile and non-disruptive way, complementing the models and systems that the client already has, and contributing to the decision making with a balanced investment in time and costs, thinking about the future. Make your organization Big Data Ready as a foundation step
Big Data begins with a question, a need to discover the internal knowledge we have and understand it, with the aim of improving our decision making. We help our clients to find an answer to that question, identifying the internal and external data sources that may be useful, analyzing and understanding them. All this in an agile cycle of value delivery in which we can discover new needs and answers.
Our multidisciplinary team of Data Science and Business Analysts performs the exploration and descriptive analysis of data, as well as the creation and validation of predictive models, relying on statistical techniques and machine learning to add intelligence to data. Once done, you can process the data and visualize the results in real time.
We design, prescribe and implement the technical architecture of the integrated Big Data platform, with storage systems either in local architectures or in Cloud Computing. We consider all the existing systems and technologies in the Big Data universe, we propose the most suitable ones and integrate them in a scalable way into the existing client’s ecosystem.
We incorporate advanced visualization tools in data analytics, for Dashboards and Reports that help us to a better decision making and, when it is necessary, in real time. We also recommend the use of tools to control, monitor and manage the Big Data architecture itself.
Oil and gas companies are constantly facing a number of industry-specific challenges, including lack of visibility into complex operational processes, the difficulties of performance improvement, equipment life cycle management etc.
Big data analytics assists in streamlining key oil and gas operations, such as exploration, drilling, production and delivery, in the three sectors – upstream, midstream and downstream.
In many parts of the world where poverty is rampant and the necessary health care…
Let’s work towards building a future-ready enterprise
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