Big Data & Supply Chain: Lessons from the Wilderness

This is the second article in the series written by Suhas Marathe on EBN. Suhas writes: What many companies are beginning to realize is that technology alone cannot lead to data science-driven insights. In terms of the perspective of IT infrastructure, big data appears to be a problem that can be reduced to four variables […]
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Cueris Announces “WeaveXT” – a Framework for Successful “Big” Data Implementations.

Boston, Mass., October 5, 2015 — Cueris, Inc. today announced the availability of its WeaveXT framework for contextualizing data across the corporate data food chain using an architecture driven approach. The framework prescribes a holistic, goal or solution driven data management approach from collection through to retrieval. The framework design is based on the following […]
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Demand forecasting and capacity planningplaceholder

Business goal:

Global capacity planning – Identify macro risk factors and predict demand.

For more information, contact us

Challenge:

Assimilating the right set data from a vast number of sources such as social media, web forums, news sources and blogs.

Solution:

Cueris analyzed streaming news, social media feeds and other data sources deploying certain machine learning techniques. Used select keywords to model consumer behavior, sentiment, risk and market fluctuations. Our data science team designed network theory based algorithm for demand prediction and capacity planning algorithm.

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Demand forecasting and capacity planningplaceholder

Business goal:

Global capacity planning – Identify macro risk factors and predict demand.

For more information, contact us

Challenge:

Assimilating the right set data from a vast number of sources such as social media, web forums, news sources and blogs.

Solution:

Cueris analyzed streaming news, social media feeds and other data sources deploying certain machine learning techniques. Used select keywords to model consumer behavior, sentiment, risk and market fluctuations. Our data science team designed network theory based algorithm for demand prediction and capacity planning algorithm.

×