Guides & White Papers
In-depth guides for data-driven organizations
Detailed white papers and guides that explore analytics strategy, reporting frameworks, and best practices for turning operational data into insight.
Designed for leaders evaluating analytics platforms, BI approaches, and data modernization efforts.
Extending the Value of Your ERP Investment
We talk to companies that are considering changing ERPs. Download this paper to explore how to extend the value of your current ERP investment.
- Avoid the Costs and Disruption of a New ERP
- Explore Third-Party Enhancements
- Leverage Existing Data for New Insights
- Extending ERP Capabilities in Inventory Management
Product Datasheet: Neat Data for Food
Our Neat Data platform provides a pre-built data warehouse for your Food ERP.
- Your most important food data
- Time and money savings
- Actionable data available on day 1
- Four packages to solve your business units’ challenges
Food Company Data Analytics Build versus Buy
Download this paper to understand the costs of building your own food analytics data warehouse.
- Create a connector to start transforming data
- Build a data warehouse
- Build the data model
- Testing and data validation
- Build formulas and analytics
Food Company White Paper and Case Study
Learn how Farmer Focus gets even more value from their Food ERP using our Neat Data food platform.
The challenges:
- Food ERPs create large amounts of data
- Leadership faces challenges levering this data
The solution:
- Assist sales teams in capitalizing on overlooked revenue opportunities
- Gives IT department much-needed sign of relief
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Extending the Value of Your ERP Investment
If your ERP reporting feels rigid or incomplete, you’re not alone. This whitepaper breaks down how teams use modern analytics to unlock more value from ERP data—without custom BI builds or spreadsheet workflows.
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Food Company Data Analytics: Build versus Buy
This paper walks through what it really takes to build an internal analytics stack for food companies—from creating connectors and data pipelines to building models, validating data, and maintaining analytics over time—so you can compare the effort against buying a ready-made platform.
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