Evolving Role of Data Scientist in the Age of Personalization

March 12, 2020

This point of view is an exploration of the possibilities engendered by rethinking the role of data scientists in the wake of industrial revolution. It might be claimed that current trends in industrial revolution reflect a paradigm shift towards data centric processing with data science playing an increasingly critical role. This point of view also explicitly highlights the potential role of Data scientists as an emerging phenomenon, and then to show some of the benefits that this role can bring as we move towards industrial disruption

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Data IQ Argentina

Dedicated to Business Intelligence Solutions, Data IQ is composed of experts in the areas of strategy, sales, information technology and marketing, who share one objective: Satisfying the Customer. First-line companies such as La Caja, Fernet Branca, Coca Cola, Roche, Los Grobo, Cargill, MSD, OSDE and Pfizer, among others, have already proven why QlikView's "in memory" technology, implemented by Data IQ, allows speed up the time of information processing. Since 2006, Data IQ is a QlikView Master Reseller for Argentina, Uruguay and Mexico, and one of the fastest growing companies in the market, with a remarkable ability: "Implementing Business Intelligence in a quarter of the time that would lead to other options of the market, half the price and generating double the value. "

OTHER WHITEPAPERS
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O'Reilly Data Quality Fundamentals

whitePaper | November 18, 2022

For decades, the lack of visibility into the health of our data has led to data downtime in companies around the world. When data is missing, inaccurate, or erroneous, data quality initiatives are doomed to fail, leaving enterprises at a privacy compliance and business disadvantage.

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Four Reasons Your Metadata Is Broken

whitePaper | April 1, 2021

Metadata is more important now than ever. New technologies have enabled businesspeople who have traditionally not been analysts to work with data. The consumerization of IT means people expect systems to be intuitive and require little training. With so many people using data to support so many kinds of decisions, it’s critical that your data is described, defined, and understood.

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Advanced Analytics for Decision Making

whitePaper | November 25, 2022

We live in a world of exponentially growing data. Within these massive datasets lies incredible potential, but only if users are equipped with tools capable of managing big data at scale and without lag.

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The Blueprint for a Data Governance Program

whitePaper | August 25, 2022

Most organizations realize data governance is necessary - if not indispensable - for mitigating data risk while sustaining its longterm value. However, there’s still a fair amount of ambiguity around what exactly data governance is and how to best implement it. By definition, data governance is an enterprise-wide initiative for formalizing the processes, people, and protocols for using data. It reduces risk while increasing data’s ultimate value: consistent reusability for achieving mission critical objectives. Data governance is a strategic approach for creating unassailable trust in data throughout the enterprise.

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How to Solve the Data Science Skills Shortage

whitePaper | November 23, 2022

Artificial intelligence (AI) and machine learning (ML), along with data analytics, are widely seen as a way to tackle everything from daily inefficiencies and low productivity, to advancing healthcare and climate change mitigation. As more organisations look to leverage their data more effectively, demand for people with data capabilities is only going to grow

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Big Data Analytics and privacy & data protection

whitePaper | August 31, 2022

The rise of Big Data and Data Analytics provides great opportunities for organizations to realize new ways of doing business and will give a significant increase in added value. Organizations that do not ‘catch the Big Data Analytics train’ run the risk of falling behind. According to the European Commission1 the value of European citizens’ personal data has the potential to grow to nearly € 1 trillion a year by 2020.

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Spotlight

Data IQ Argentina

Dedicated to Business Intelligence Solutions, Data IQ is composed of experts in the areas of strategy, sales, information technology and marketing, who share one objective: Satisfying the Customer. First-line companies such as La Caja, Fernet Branca, Coca Cola, Roche, Los Grobo, Cargill, MSD, OSDE and Pfizer, among others, have already proven why QlikView's "in memory" technology, implemented by Data IQ, allows speed up the time of information processing. Since 2006, Data IQ is a QlikView Master Reseller for Argentina, Uruguay and Mexico, and one of the fastest growing companies in the market, with a remarkable ability: "Implementing Business Intelligence in a quarter of the time that would lead to other options of the market, half the price and generating double the value. "

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