What is…?

May 7, 2019

Data Management is a comprehensive collection of practices, concepts, procedures, processes, and a wide range of accompanying systems that allow for an organization to gain control of its data resources. Data Management as an overall practice is involved with the entire lifecycle of a given data asset from its original creation point to its final retirement, how it progresses and changes throughout its lifetime through the internal (and external) data streams of an enterprise

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Iron AI

At IRON we want to transform how the world works, making Artificial Intelligence a more accessible tool for companies. Creating value and improving the lives of its customers.

OTHER WHITEPAPERS
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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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How to accelerate operational reporting and analytics for Oracle E-Business Suite (EBS)

whitePaper | August 18, 2022

What Oracle EBS does not offer is a high-performance, quick-to-implement analytics solution that seamlessly combines data from multiple sources in an instant. Many EBS customers are stuck using multiple legacy tools and high-cost professionals to generate even the simplest reports, and are unable to modernize and migrate to more cost-effective platforms. But the demand for faster, easier, and near-instant reporting and analytics have dramatically increased over the past decade, placing tremendous pressure on CFOs, CEOs, and IT leaders.

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How Analytics & Data Science Teams can leverage the Semantic Layer

whitePaper | June 3, 2022

Analyzing data has been a unique business activity for at least 5,000 years, and possibly as long ago as 20,000 years. We have come a long way in how we count, summarize, analyze, predict, and prescribe upcoming courses of action in science, business, and all fields of human endeavor. In the past 75 years, the progress in how we analyze data has increased exponentially. We now regularly build analytical models and complete applications that analyze massive amounts of data.

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Building a Data Management Strategy for Your Nonprofit

whitePaper | June 14, 2022

In a digital-first world, every organization needs a data management plan. Yet, fewer than 25% of nonprofits report having a plan in place. This means data is infrequently shared across departments and rarely used to make decisions or predict future stakeholder behaviors. A data management plan is fundamental to make an impact and an attainable goal regardless of organization sizeor technological capacity. An effective data management plan takes into account your mission, staffing, time, budget, goals, existing technology, and more.

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2022 Global data management research

whitePaper | August 26, 2022

For all business leaders, the past two years have been filled with trial and error as we continue to navigate this unprecedented time of health and safety, regulations, and shifting consumer needs. As the global economy seeks stability throughout the fluid pandemic mandates, we are finding that high-quality data has been a key play to keeping customer centricity.

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BARC Score Enterprise BI & Analytics Platforms

whitePaper | August 12, 2021

This BARC Score report will evaluate BI & analytics platforms on a range of features, from data visualization capabilities to semantic modeling abilities, performance and speed to automation capabilities.

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Spotlight

Iron AI

At IRON we want to transform how the world works, making Artificial Intelligence a more accessible tool for companies. Creating value and improving the lives of its customers.

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