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How DataOps is Transforming Commercial Pharma Analytics

DataKitchen

Part of the data team’s job is to make sense of data from different sources and judge whether it is fit for purpose. Figure 3 shows various data sources and stakeholders for analytics, including forecasts, stocking, sales, physician, claims, payer promotion, finance and other reports. DataOps Success Story.

Analytics 246
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Biggest Trends in Data Visualization Taking Shape in 2022

Smart Data Collective

Patterns, trends and correlations that may go unnoticed in text-based data can be more easily exposed and recognized with data visualization software. Data virtualization is becoming more popular due to its huge benefits. billion on data virtualization services by 2026. What benefits does it bring to businesses?

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Data’s dark secret: Why poor quality cripples AI and growth

CIO Business Intelligence

In healthcare, missing treatment data or inconsistent coding undermines clinical AI models and affects patient safety. In retail, poor product master data skews demand forecasts and disrupts fulfillment. In the public sector, fragmented citizen data impairs service delivery, delays benefits and leads to audit failures.

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A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

datapine

To understand this concept in a practical context, check out this video featuring an explanation from analyst Sonya Fournier: Now that we’ve explored BI in a real-world professional context, let’s look at the benefits of embarking on this occupation. This could involve anything from learning SQL to buying some textbooks on data warehouses.

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4 ways to ensure CEO support for your digital strategy

CIO Business Intelligence

Graded’s Ardolino says that when he presents a project to top management, he starts with a descriptive overview and then combines KPIs that can measure the estimated positive impact in different business areas, for example reduction in man hours or the benefits of data retrieval. C-suite support for investments is essential.

Strategy 134
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Unleash the Power of Advanced Analytics with the Sisense Q4 2019 Release

Sisense

The rapid growth of data volumes has effectively outstripped our ability to process and analyze it. The first wave of digital transformations saw a dramatic decrease in data storage costs. On-demand compute resources and MPP cloud data warehouses emerged. Optimize raw data using materialized views.

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Amazon SageMaker Lakehouse now supports attribute-based access control

AWS Big Data

SageMaker Lakehouse is a unified, open, and secure data lakehouse that now supports ABAC to provide unified access to general purpose Amazon S3 buckets, Amazon S3 Tables , Amazon Redshift data warehouses, and data sources such as Amazon DynamoDB or PostgreSQL.

Sales 87