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What’s Behind Master Data Management and Why Does It Matter?

Domo

This is where master data management (MDM) comes in, offering a solution to these widespread data management issues. MDM ensures data accuracy, governance, and accountability across an enterprise. What is master data management (MDM)? However, implementing MDM poses several challenges.

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Better Analytics Through AI: Our Take on Gartner’s AI Trends

Sisense

How exactly is all that data going to talk to each other and come together to provide the end-to-end analysis? Knowledge graphs will be the base of how the data models and data stories are created, first as relatively stable creatures and, in the future, as on-demand, per each question. Trend 5: Augmented data management.

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Will Data Management in Operational Technology Finally Be Standardized?

Actian

OT is an umbrella term that describes technology components used to support a company’s operations – typically referring to traditional operations activities, such as manufacturing, supply chain, distribution, field service, etc. Why operational technology data management may never be standardized.

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The Future of AI in Data Warehousing: Trends and Predictions 

Astera

Data management can be a daunting task, requiring significant time and resources to collect, process, and analyze large volumes of information. By AI taking care of low-level tasks, data engineers can focus on higher-level tasks such as designing data models and creating data visualizations.

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All You Need to Know About Data Aggregation

Astera

Government: Using regional and administrative level demographic data to guide decision-making. Healthcare: Reviewing patient data by medical condition/diagnosis, department, and hospital. Supply Chain: Optimizing distribution and inventory levels by studying customer, route, and warehouse/storage facility details.

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A Complete Guide to Data Analytics

Astera

It enables organizations to effectively manage resources, reduce waste, and improve processes; thus, optimizing operations. For instance, predictive analytics can anticipate demand surges, enabling businesses to dynamically adjust their supply chains. This includes changes in data meaning, data usage patterns, and context.

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What is Data Modernization? Benefits, Importance & Components

Astera

After modernizing and transferring the data, users access features such as interactive visualization, advanced analytics, machine learning, and mobile access through user-friendly interfaces and dashboards. What is Data-First Modernization? It involves a series of steps to upgrade data, tools, and infrastructure.