Remove tag Business Analysis Events
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Understanding Social And Collaborative Business Intelligence

datapine

Almost all the major software companies are continuously making use of the leading Business Intelligence (BI) and Data discovery tools available in the market to take their brand forward. Let us take a look into the individual concepts of social and collaborative business intelligence to learn more about how they help companies.

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Success Stories: Applications and Benefits of Knowledge Graphs in Financial Services

Ontotext

M&A events, role changes, etc.) Let’s consider an example about risk and opportunity event detection. These include information about companies, industries (from business classifications such as NAICS, GICS), assets, people and locations. The solution brings many business benefits. Transaction and pricing data (e.g.,

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A Beginner’s Guide To Inventory Metrics And Best Practices

datapine

At the same time, inventory metrics are needed to help managers and professionals in reaching established goals, optimizing processes, and increasing business value. That said, It’s extremely important setting up and tracking the inventory KPIs for your business is in order to evaluate and improve your performance.

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Automate alerting and reporting for AWS Glue job resource usage

AWS Big Data

Data transformation plays a pivotal role in providing the necessary data insights for businesses in any organization, small and large. EventBridge picks up the event from AWS Glue and triggers an AWS Lambda function. You can simply tag that job with the key/value of remediate and false.

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The most valuable AI use cases for business

IBM Big Data Hub

But the question for those of us in business is what are the best business uses? Here are 27 highly productive ways that AI use cases can help businesses improve their bottom line. Voice-based queries use natural language processing (NLP) and sentiment analysis for speech recognition so their conversations can begin immediately.

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

quintillion bytes of data being produced on a daily basis and the wide range of online data analysis tools in the market, the use of data and analytics has never been more accessible. However, with all good things comes many challenges and businesses often struggle with managing their information in the correct way. With a shocking 2.5

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Keys to Ensure that Data isn’t Slowing Down your Innovation Efforts

Cloudera

If the data goes into a data lake before analysis, extracting it can get pretty complex and time-consuming. It makes more sense to analyze and derive insights from it, and then place it in the data lake — properly tagged for easy access later. Data source diversity also must be addressed because it, too, adds complexity.