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Supply Chain Analytics: Opportunities in Data Analysis and Business Intelligence

Altexsoft

diversity of sales channels, complex structure resulting in siloed data and lack of visibility. There are two main approaches to demand planning: Traditional statistical methods make forecasts based on historical data and assume the continuation of existing trends. Supply chain management process. Everything starts with a plan.

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Why Reinvent the Wheel? The Challenges of DIY Open Source Analytics Platforms

Cloudera

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP).

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Interpreting predictive models with Skater: Unboxing model opacity

O'Reilly Media - Data

Data Scientist Cathy O’Neil has recently written an entire book filled with examples of poor interpretability as a dire warning of the potential social carnage from misunderstood models—e.g., There is also a trade off in balancing a model’s interpretability and its performance.

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What Do CIOs Have To Know About Business Intelligence?

The Accidental Successful CIO

These BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts and maps designed to provide users with detailed intelligence about the state of the business. The challenge that CIOs are facing is how best to make use of these new tools?

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Modeling conversion rates using Weibull and gamma distributions

Erik Bernhardsson

This is a blog post originally featured on the Better engineering blog. When there is a substantial delay until the conversion event, this analysis suddenly gets vastly more complex. Side note, but throughout this blog post, the y scale is intentionally removed in order for us not to share important business metrics.).

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What you need to know about product management for AI

O'Reilly Media - Ideas

We won’t go into the mathematics or engineering of modern machine learning here. All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data.

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Fleet Maintenance Software: Technology Behind Preventive and Predictive Vehicle Servicing

Altexsoft

Taking good care of your fleet assets pays off by prolonging their lifecycle, increasing efficiency, and reducing the probability of failures. Prevention is better than cure. If you think vehicle breakdowns are inevitable, we got news for you. These risks and losses can – and have to! – be avoided with proactive maintenance.