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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.

The Sales Intelligence Ladder: 8 Steps to Finding the Revenue Hidden in Your Data

The Sales Intelligence Ladder integrates with your existing systems and consolidates your data into one reliable, daily-updated source of truth. Prebuilt analytics then give your leadership team the clarity to spot trends, measure performance, and make confident decisions. Download this guide to see how it drives real revenue.

  1. Turn Raw Numbers Into Sales Performance Insights
  2. Scale Coaching With an AI Sales Coach
  3. Automate Follow-Up So Reps Sell More, Admin Less

Data Culture Isn’t a Buzzword. It’s a Revenue Strategy

6 Steps for Building Data CultureAvoid the Costs and Disruption of a New ERP

Companies with a strong data culture close more deals, forecast more accurately, and waste less time chasing down numbers that should already be at their fingertips. This guide gives you 6 concrete steps to build that culture at your company. Get your free copy below.

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.

  1. Avoid the Costs and Disruption of a New ERP
  2. Explore Third-Party Enhancements
  3. Leverage Existing Data for New Insights
  4. 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.

  1. Your most important food data
  2. Time and money savings
  3. Actionable data available on day 1
  4. 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.

  1. Create a connector to start transforming data
  2. Build a data warehouse
  3. Build the data model
  4. Testing and data validation
  5. 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:

  1. Food ERPs create large amounts of data
  2. Leadership faces challenges levering this data

The solution:

  1. Assist sales teams in capitalizing on overlooked revenue opportunities
  2. Gives IT department much-needed sign of relief