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How DataOps is Transforming Commercial Pharma Analytics

DataKitchen

DataOps has become an essential methodology in pharmaceutical enterprise data organizations, especially for commercial operations. Companies that implement it well derive significant competitive advantage from their superior ability to manage and create value from data. DataOps Success Story.

Analytics 246
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Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

In summary, predicting future supply chain demands using last year’s data, just doesn’t work. Accurate demand forecasting can’t rely upon last year’s data based upon dated consumer preferences, lifestyle and demand patterns that just don’t exist today – the world has changed.

Analytics 109
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Building a culture of data-driven decisions and insights with IBM Business Analytics

IBM Big Data Hub

Most recently we held an event at the IBM Data and AI Forum in Germany ( available on demand here ) where we shared the latest news in our business analytics portfolio. With IBM Business Analytics Enterprise, users discover and access analytics and planning tools in a streamlined experience.

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The case for predictive AI

CIO Business Intelligence

All forward-thinking businesses are toying with or have already invested in AI — from boutique startups to enterprise conglomerates. It’s easy to think about these pieces of technology in two separate categories: one creates something new, the other forecasts future outcomes. AI is taking the world by storm.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications.

Big Data 275
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How EPM Solutions Increase Efficiency in Data Management and Reporting

Jet Global

Furthermore, basing your budgets and forecasts on inaccurate or incongruent data from silos can have a detrimental impact on decision-making. The finance team’s true value lies in providing strategic insights and analysis, not in data manipulation. These inconsistencies also cause problems with disclosure management.

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Buy Your Embedded Analytics and Empower Your End-Users With the Right Data

Jet Global

The value of embedded analytics is unmistakable. These costs are not always visible when companies plan for their analytics offering but can significantly impact production, scale, and the speed of bringing analytics to market. The challenge is collecting all that data into one place and making it understandable.