Business Intelligence, Big Data Management

The Definitive Guide to Test Data Management

November 10, 2022

The Definitive Guide to Test Data Management
In this hyper-competitive era, faster time-to-market plays a vital role in the success of an organization. Any lag accounts for the 'Cost of delay,' impacting the value a product could create otherwise. This is the primary reason teams are adopting an agile approach to software development, testing, and release. Unfortunately, teams that don't follow suit find it challenging to deal with this accelerated timeframe.

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Data Masters

We are a team, which is dedicated and passionate, specialized in the area of BI and Advanced Analytics extremely motivated to address the challenges of any company in the world and help them become "The Masters"​ of their data. Each one of us, with our personal portfolios and experience is ready to share its knowledge in Business Intelligence, Data Warehousing, Product Development and Machine Learning.

OTHER WHITEPAPERS
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Top considerations for cloud native databases and data analytics

whitePaper | October 1, 2021

centering your database and data analytics workload development and deployment on a Kubernetes-based container, you can create a more efficient and speedy data life cycle. Access this white paper to learn how to improve key capabilities for database and data analytics workloads across hybrid cloud environments.

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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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The Value of Oracle Enterprise Manager for Managing Oracle Databases

whitePaper | February 7, 2020

Multiple studies have proven that, while the business demand for databases grows, operational teams are constrained by traditional, reactive processes. Combined with budgetary pressures, this causes them to fall short in meeting the demand in a timely fashion. In addition, as companies adopt cloud paradigms, operational teams must manage across on-premises and cloud environments with the same resources. To be effective, companies need to shift from a reactive posture to one of standardization and proactive analysis and planning by leveraging intuitive tooling to automate manually intensive and non-value adding activities and to deliver real-time insights.

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How Data Maturity and Product Analytics Improve Digital Experiences and Business Outcomes

whitePaper | October 5, 2022

As we assess the global business environment in the latter half of 2022, perhaps the best single word that describes the state of play is uncertainty. Planning for uncertainties is a significant part of what we, as business executives and individuals, do on a daily basis. In times of uncertainty, brands realize they must work even harder to retain customers and deepen relationships by delivering value and empathy at scale. As we analyze our uncertainties, we can take comfort and guidance from management guru Peter Drucker, who wrote that “strategy aims to exploit the new and different opportunities of tomorrow” (Managing in Turbulent Times, 1980).

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The Ugly Truth About Data Management & the Journey to Unleashing the Economic Value of Data

whitePaper | August 22, 2022

The Ugly Truth About Data Management and the Journey to Unleashing the Economic Value of Data explores the often overlooked truth about managing data in the digital era and the shifts in perspective and practice required to unleash the true, economic value of data.

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On Artificial Intelligence A European approach to excellence and trust

whitePaper | February 19, 2020

Artificial Intelligence is developing fast. It will change our lives by improving healthcare (e.g. making diagnosis more precise, enabling better prevention of diseases), increasing the efficiency of farming, contributing to climate change mitigation and adaptation, improving the efficiency of production systems through predictive maintenance, increasing the security of Europeans, and in many other ways that we can only begin to imagine. At the same time, Artificial Intelligence (AI) entails a number of potential risks, such as opaque decision-making, gender-based or other kinds of discrimination, intrusion in our private lives or being used for criminal purposes.

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Spotlight

Data Masters

We are a team, which is dedicated and passionate, specialized in the area of BI and Advanced Analytics extremely motivated to address the challenges of any company in the world and help them become "The Masters"​ of their data. Each one of us, with our personal portfolios and experience is ready to share its knowledge in Business Intelligence, Data Warehousing, Product Development and Machine Learning.

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