Aspire Systems recommends Smart Manufacturing, the theme for the 2014 Data Analytics for Manufacturing Summit: Leveraging Data Analytics to minimize risk, increasing production efficiency and gaining a competitive edge. Today, the advances in technology have enabled manufacturing units to modernize existing plants by giving them operational insights to make better decisions. Aspire’s Advanced Analytics makes use of this vast information to help manufacturers improve margins, increase product quality and reliability that increases sales and enhances customer experience ultimately leading to market sustainability.


  • Are you proactively monitoring the health of your plant machinery?
  • Are you facing challenges in Supply Chain and Inventory?
  • Are you using your customer experience data to proactively improve product quality?
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Big Data Analytics

Through 2015, 85% of Fortune 500 organizations will be unable to exploit big data for competitive advantage- Gartner

Advantages of Aspire’s Big Data Manufacturing Analytics Framework

  • Leverage unexploited machine generated data, equipment-condition data and use predictive analytics to plan optimal maintenance time, improving overall line efficiency and utilization while reducing unplanned stoppages
  • Anticipate the demand as well as availability of raw materials using real-time data processing from various corporate and 3rd party systems
  • Assess change in operational process for enhanced product quality using customer, partner (dealer/service center) feedback

Advanced Analytics and Mobile BI

By 2015, over 50% of mobile BI users will rely exclusively on their mobile devices for insight delivery, and will grow BI users by 20%- Gartner

Features of Aspire’s Advanced Manufacturing Analytics Framework

  • Management dashboards: An easy to use, visually rich, interactive and engaging UI provides for average unit contribution margin, throughput, sales, cost of quality, overall equipment effectiveness (OEE) to the top levels of management and other knowledge teams
  • Operational reports: A targeted delivery of specific KPIs to plant managers on the move like yield, average cycle time, scrap rate, customer complaints
Case Study

Qlikview upgrade and customization for a Fortune 500 company

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Fund Performance Analytics for a leading Asset Management Company

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Smart Manufacturing Analytics for a Leading Manufacturer of Utility Meters

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