Remove 4-risks-of-storing-large-amounts-of-unstructured-data
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4 Risks of Storing Large Amounts of Unstructured Data

Dataversity

In 2013, the big data headline was the incredible statistic that 90% of all data in the history of the entire human race had been created in the previous two years. The amount of structured and unstructured data we’ve created was so mind-boggling that we deemed it […].

Big Data 130
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5 Applications for Corporate Text Analytics

Smart Data Collective

Text mining and text analysis are relatively recent additions to the data science world, but they already have an incredible impact on the corporate world. As businesses collect increasing amounts of often unstructured data, these techniques enable them to efficiently turn the information they store into relevant, actionable resources.

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Simplifying Medical Claims Processing with Astera 

Astera

It’s engineered to convert unstructured data, often found in medical claim forms, into structured, actionable information. This makes it an ideal tool for healthcare providers and insurance companies who need to extract data from medical claims for analysis but do not have a technical background.

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6 Benefits of Adopting a Cloud Data Warehouse for Your Organization

Astera

For this reason, most organizations today are creating cloud data warehouse s to get a holistic view of their data and extract key insights quicker. What is a cloud data warehouse? Moreover, when using a legacy data warehouse, you run the risk of issues in multiple areas, from security to compliance.

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Top 10 In-Demand Skills for IT & How L&D Can Help

Cprime

Big Data Analysis. On a daily basis, organizations produce an ever-increasing amount of structured and unstructured data that they have to capture and process. On top of that, companies have to shift to data-driven decision-making to remain competitive and remove processes that rely on gut-feeling or flaky data.

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Unstructured Data Challenges for 2023 and their Solutions

Astera

Unstructured data is information that does not have a pre-defined structure. It’s one of the three core data types, along with structured and semi-structured formats. Unstructured data must be standardized and structured into columns and rows to make it machine-readable, i.e., ready for analysis and interpretation.

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Navigating Workplace Accident Claims with Astera

Astera

Despite this positive trend, companies deal with large volumes of unstructured data that demand effective management.  Addressing these complexities is easier with Astera’s unstructured data extraction solution. The solution’s main feature is its template-based extraction model.