Featured Solution Brief

Future-Forward Analytics Platform Optimizes Multinational Chemical Manufacturing

Advanced risk management is paramount in chemical manufacturing – an inherently risky business. One of the planet’s top chemical makers – a publicly traded giant whose more than 50,000 employees span over 160 countries – continually evolves manufacturing processes while prioritizing safety across its 300 plants. This formulator’s enterprise architecture team sought to leverage operational insights from the masses of streaming data generated by its production facilities. BlueGranite worked in partnership with the team to deliver a robust modern data platform to usher in enterprise-wide digital transformation. The data and analytics solution is speeding safety and efficiency insights while slashing downtime.  

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FEATURED SHOWCASE

World Energy Production Capacity

The “World Energy Production Capacity” report explores the energy capacity of various nations and highlights a few components of Power BI along the way. It attempts to drive viewers toward a better understanding of each country's capacity by energy source. It starts with raw numbers and then considers why raw numbers may not be the most appropriate measure to derive insights by country. It also moves from summary to detail by eventually allowing users to obtain plant-level data across the world. 

The data is regularly compiled by the World Resources Institute and consists of over 28,600 power plants and production facilities from 164 countries. The data relates to production capacity rather than actual production or energy usage within a country. Capacity is the maximum amount of energy that could be produced by a power plant under optimal conditions. Not all facilities operate at 100% capacity, however, and countries trade energy for consumption. As a result, the Power BI report shows the production potential by various countries if all facilities were operating at their maximum capacity.

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Featured Blog post with Showcase

Spend Analytics

This report shows the results of a real-world manufacturing scenario. This customer was looking for opportunities to improve supplier performance, from purchase order to delivery; understanding of weighted-average payment terms; and visibility into non-managed supplier performance and costs. The data is grouped by product category using a scalable data warehouse, leveraging a modern data platform (MDP) on Microsoft Azure. As such, users can leverage both structured data as well as detailed transactional data in a curated data lake. Purchasing patterns are easy to find through dynamic and cross-filtered dashboards, charts, and tables, allowing management to quickly identify opportunities for cost reduction, supplier consolidation, and contract coverage.

All visualizations, on all pages of the report, are dynamically filtered as users interact with the data, including multiple slicers for better granularity, drill down by period, and drill-through pages for greater detail and insight.

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