6 Steps Manufacturers Should Take to Optimize and Monetize their Company's Data Your company's data should be one of your most valuable assets. But... let's be real. Unless your company is light years ahead of most, your datasets are probably fragmented, polluted, and underutilized. Read More

Turning Mountains of Data into Big Returns To compete in the world of Industry 4.0, manufacturers must make strategic use of analytics, artificial intelligence, and automation — all of which rely on data. Within your company’s mountain of data is a virtual gold mine. But you have to be able to see below the surface to tap its potential. Read More

Harnessing Operational Data for Effective Planning "Using big data correctly helps companies allow for more flexible planning and predictive analysis in the warehouse and distribution center," explains Mark Dickinson, executive sales manager, automated systems division at SSI Schaefer, a global storage and picking solutions manufacturer with U.S. headquarters in Charlotte, NC. Read More

First Published in IndustryWeek, August 20th, 2018 Written by Mountain Point President, Andrew Rieser Read More

By Linsey Billings Read More

Supply chain leaders need to pay more attention to big data and predictive analytics. IndustryARC, an industry market research and analysis company, explored this topic in particular detail in the global "Big Data Market in Supply Chain Management" report. Read More

In the WSJ CIO Journal Deloitte recently published an article entitled 4 Trends Shaping Analytics. Below is a summary of the 4 trends mentioned. Read More

After spending several hours analyzing reports extracted from a manufacturing companies legacy ERP system today I want to (re)emphasize that your business system should not be an impediment for your users! Read More

This week Salesforce's annual Dreamforce conference is going on and the phrases; "Internet of Customers," "Customer Companies," and "Intersections of the CIO and CMO" have been resounding themes. Read More