Do you already use Poling Group machines or have product traceability systems in place?
You may have all the product, machine, and process data you need.
You may also have data overload . . .
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Your staff loses productive hours generating and analyzing lengthy reports to identify production and quality trends
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Your organization suffers with spreadmart-huge amounts of data completely cut off from the source and stuck in a multitude of spreadsheets
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Your IT department spends too much time developing specialized queries to satisfy departmental requests
We have a solution for that.
Proven Technology
Data warehousing and OLAP databases have long been used by financial service and retail companies to organize large, complex sets of data for efficient data queries and analysis.
How does this technology differ from operational IT systems you may already have in place?
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Adapts to changing operations, instead of structuring them
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Designed for effectiveness (right time queries), instead of efficiency (real time transactions)
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Scalability: can include enterprise data, instead of remaining narrowly focused on a single department or manufacturing area
Services we provide:
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Working with IT and users to define requirements
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Custom training/mentoring on data warehouse technical best practices
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Source data integration design and implementation
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Data warehouse design and online analytical processing (OLAP) cube build
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Optimization of existing data warehouse or cubes
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End user training
Proven Tools
Advanced, visually-based analytical tools work effectively with data to help users quickly locate problems.
The benefits of these and other interactive reporting tools are proven-they reduce the IT reporting treadmill by empowering non-technical end users to:
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Create and manage their own ad hoc reports
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Use exception reporting to isolate problems and opportunities
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Quickly visualize solutions to complex or abstract problems
Proven Expertise
Poling Group software engineers have spent decades helping the tire industry capture, organize, and report manufacturing data.
We've successfully implemented business intelligence and related data warehouse designs and strategies for more than 40 clients.
