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How BI Can Help Enterprises Overcome The Effects Of The Pandemic

Smart Data Collective

One of the main reasons for such a disruption may be the obsolescence of many traditional data management models; that’s why they have failed to predict the crisis and its consequences. Finally, this has led to a disconnection between data sets and analytics itself, leaving many enterprises unarmed in the face of a real crisis.

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Welcome To The Digital Age: BI Meets Social Media

Smart Data Collective

Relational databases emerged in the 1970s, enabling more advanced data management. In the 1990s, OLAP tools allowed multidimensional data analysis. The past decade integrated advanced analytics, data visualization, and AI into BI, offering deeper insights and trend predictions. Let’s break it down for you.

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Great Benefits of Leveraging Big Data in Investing

Smart Data Collective

It is essential for value investors, who want to predict their future income or deploy high-frequency strategies, to capture broad, real-time data. However, value investors cannot use broad data to make risk-free decisions since it is not specific enough. That is why investors can forecast long-term trends using big data.

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Top 7 Data Management Challenges for Tech Firms and Solutions

Astera

These large data volumes present numerous data management challenges for companies, especially those with outdated management systems. Let’s explore the 7 data management challenges that tech companies face and how to overcome them. Data Management Challenges. Astera Data Stack.

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Top 7 Data Management Challenges for Tech Firms and Solutions

Astera

These large data volumes present numerous data management challenges for companies, especially those with outdated management systems. Let’s explore the 7 data management challenges that tech companies face and how to overcome them. Data Management Challenges. Astera Data Stack.

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Top 7 Data Management Challenges for Tech Firms and Solutions

Astera

These large data volumes present numerous challenges for companies, especially those with outdated data management systems. Let’s explore the 7 data management challenges that tech companies face and how to overcome them. Data Management Challenges. Challenge#1: Accessing organizational data.

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Are You Aware of These FP&A Best Practices?

Insight Software

Reporting: Developing and presenting financial reports to senior management. Data Management: Ensuring data integrity and accuracy in financial systems. Data Management: Ensuring data integrity is challenging with data from various production lines, international suppliers, and market sources.