Remove Analysis Remove Business Intelligence Remove Compliance Remove Storage
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Komprise raises $37M to help companies index, manage and transform data

TechCrunch

The same survey found the average number of data sources per organization is now 400 sources, and that more than 20% of companies surveyed were drawing from 1,000 or more data sources to feed their business intelligence and analytics systems. Goswami pitches it as a compliance solution as well as a means to manage costs.

Company 203
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What is data governance? Best practices for managing data assets

CIO

They must be accompanied by documentation to support compliance-based and operational auditing requirements. To counter that, BARC recommends starting with a manageable or application-specific prototype project and then expanding across the company based on lessons learned.

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Data Lake vs Data Warehouse

The Crazy Programmer

Choosing the right data storage solution will depend greatly on how the data is going to be used. Data lakes work great to store historical data and support compliance. One of the most common use cases is storing data coming from IoT sources for near-real-time analysis. How do you know what is best for your company?

Data 162
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From Data Swamp to Data Lake: Data Catalog

Perficient

The five capabilities are: Create a Data Catalog Create a Data Governance organization Implement data quality analysis and reporting Implement category-based security in the Data Lake Have multiple data zones inside the Data Lake In this article, we will discuss the Data Catalog.

Data 110
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Power BI Purchase Dashboards

Sunflower Lab

From supplier performance analysis to purchase order tracking, spend analysis, inventory management, and beyond, we will delve into the various functionalities of these Power BI Dashboards and demonstrate how it can help organizations like yours to drive business success through data-driven procurement management.

Budget 52
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Breaking Down Data Silos: Unleashing Your Company’s Hidden Data Potential

Tandem

This includes providing training and resources to help employees understand the importance of data, the principles of data analysis, and the tools and techniques used to extract insights from data. Data Storage and Management Systems: These systems are used for storing, retrieving, and managing data.

Data 52
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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

Altexsoft

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data.