Remove Data Quality Remove Metrics Remove Predictive Modeling
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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 1) Data Quality Management (DQM).

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Perform data parity at scale for data modernization programs using AWS Glue Data Quality

AWS Big Data

Some customers build custom in-house data parity frameworks to validate data during migration. Others use open source data quality products for data parity use cases. This takes away important person hours from the actual migration effort into building and maintaining a data parity framework.

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Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability

DataKitchen

These layers help teams delineate different stages of data processing, storage, and access, offering a structured approach to data management. In the context of Data in Place, validating data quality automatically with Business Domain Tests is imperative for ensuring the trustworthiness of your data assets.

Testing 173
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Why you should care about debugging machine learning models

O'Reilly on Data

Small residuals usually mean a model is right, and large residuals usually mean a model is wrong. Residual plots place input data and predictions into a two-dimensional visualization where influential outliers, data-quality problems, and other types of bugs often become plainly visible.

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Introducing The Five Pillars Of Data Journeys

DataKitchen

Another way to look at the five pillars is to see them in the context of a typical complex data estate. Monitoring is another pillar of Data Journeys, extending down the stack. Moreover, cost monitoring ensures that your data operations stay within budget and that resources are used efficiently. Donkey: Oh, they have layers.

Testing 100
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How Can BI Consulting Services Help Foster Data-driven Decisions

BizAcuity

Beyond mere data collection, BI consulting helps businesses create a cohesive data strategy that aligns with organizational goals. This approach involves everything from identifying key metrics to implementing analytics systems and designing dashboards.

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6 Case Studies on The Benefits of Business Intelligence And Analytics

datapine

As Dan Jeavons Data Science Manager at Shell stated: “what we try to do is to think about minimal viable products that are going to have a significant business impact immediately and use that to inform the KPIs that really matter to the business”. 5) Find improvement opportunities through predictions.